diff --git a/include/api/visible.h b/include/api/visible.h
index ab6b6971ff1..37cc1dd52a5 100644
--- a/include/api/visible.h
+++ b/include/api/visible.h
@@ -24,5 +24,14 @@
 #endif  // _WIN32
 #endif
 
-#endif  // MINDSPORE_INCLUDE_API_VISIBLE_H
+#ifdef _MSC_VER
+#ifdef BUILDING_DATASET_DLL
+#define DATASET_API __declspec(dllexport)
+#else
+#define DATASET_API __declspec(dllimport)
+#endif
+#else
+#define DATASET_API __attribute__((visibility("default")))
+#endif  // _MSC_VER
 
+#endif  // MINDSPORE_INCLUDE_API_VISIBLE_H
diff --git a/mindspore/ccsrc/minddata/dataset/CMakeLists.txt b/mindspore/ccsrc/minddata/dataset/CMakeLists.txt
index 58e277b6425..7f2a0a7b5ca 100644
--- a/mindspore/ccsrc/minddata/dataset/CMakeLists.txt
+++ b/mindspore/ccsrc/minddata/dataset/CMakeLists.txt
@@ -11,6 +11,11 @@ else()
     set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-maybe-uninitialized")
 endif()
 
+if(MSVC)
+    # define this for msvc:dllexport or dllimport
+    add_compile_definitions(BUILDING_DATASET_DLL)
+endif()
+
 # fix for GCC8.0
 set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-class-memaccess  -Wno-stringop-truncation")
 set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-format")
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/audio.h b/mindspore/ccsrc/minddata/dataset/include/dataset/audio.h
index fd4b57c8b17..dd85391d793 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/audio.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/audio.h
@@ -37,7 +37,7 @@ class TensorOperation;
 // Transform operations for performing computer audio.
 namespace audio {
 /// \brief Compute the angle of complex tensor input.
-class MS_API Angle final : public TensorTransform {
+class DATASET_API Angle final : public TensorTransform {
  public:
   /// \brief Constructor.
   Angle();
@@ -52,7 +52,7 @@ class MS_API Angle final : public TensorTransform {
 };
 
 /// \brief Design two-pole allpass filter. Similar to SoX implementation.
-class MS_API AllpassBiquad final : public TensorTransform {
+class DATASET_API AllpassBiquad final : public TensorTransform {
  public:
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz), the value can't be zero.
   /// \param[in] central_freq Central frequency (in Hz).
@@ -74,7 +74,7 @@ class MS_API AllpassBiquad final : public TensorTransform {
 
 /// \brief AmplitudeToDB TensorTransform.
 /// \notes Turn a tensor from the power/amplitude scale to the decibel scale.
-class MS_API AmplitudeToDB final : public TensorTransform {
+class DATASET_API AmplitudeToDB final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] stype Scale of input tensor, must be one of [ScaleType::kPower, ScaleType::kMagnitude] (Default:
@@ -99,7 +99,7 @@ class MS_API AmplitudeToDB final : public TensorTransform {
 };
 
 /// \brief Design two-pole band filter.
-class MS_API BandBiquad final : public TensorTransform {
+class DATASET_API BandBiquad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz), the value can't be zero.
@@ -122,7 +122,7 @@ class MS_API BandBiquad final : public TensorTransform {
 };
 
 /// \brief Design two-pole band-pass filter.
-class MS_API BandpassBiquad final : public TensorTransform {
+class DATASET_API BandpassBiquad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz), the value can't be zero.
@@ -146,7 +146,7 @@ class MS_API BandpassBiquad final : public TensorTransform {
 };
 
 /// \brief Design two-pole band-reject filter. Similar to SoX implementation.
-class MS_API BandrejectBiquad final : public TensorTransform {
+class DATASET_API BandrejectBiquad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz), the value can't be zero.
@@ -168,7 +168,7 @@ class MS_API BandrejectBiquad final : public TensorTransform {
 };
 
 /// \brief Design a bass tone-control effect.
-class MS_API BassBiquad final : public TensorTransform {
+class DATASET_API BassBiquad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz), the value can't be zero.
@@ -191,7 +191,7 @@ class MS_API BassBiquad final : public TensorTransform {
 };
 
 /// \brief Perform a biquad filter of input tensor.
-class MS_API Biquad final : public TensorTransform {
+class DATASET_API Biquad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] b0 Numerator coefficient of current input, x[n].
@@ -217,7 +217,7 @@ class MS_API Biquad final : public TensorTransform {
 
 /// \brief ComplexNorm TensorTransform.
 /// \notes Compute the norm of complex tensor input.
-class MS_API ComplexNorm final : public TensorTransform {
+class DATASET_API ComplexNorm final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] power Power of the norm, which must be non-negative (Default: 1.0).
@@ -238,7 +238,7 @@ class MS_API ComplexNorm final : public TensorTransform {
 
 /// \brief ComputeDeltas Transform.
 /// \note Compute delta coefficients of a spectrogram.
-class MS_API ComputeDeltas final : public TensorTransform {
+class DATASET_API ComputeDeltas final : public TensorTransform {
  public:
   /// \brief Construct a new Compute Deltas object.
   /// \f[
@@ -263,7 +263,7 @@ class MS_API ComputeDeltas final : public TensorTransform {
 };
 
 /// \brief Apply contrast effect.
-class MS_API Contrast final : public TensorTransform {
+class DATASET_API Contrast final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] enhancement_amount Controls the amount of the enhancement (Default: 75.0).
@@ -283,7 +283,7 @@ class MS_API Contrast final : public TensorTransform {
 };
 
 /// \brief Turn a waveform from the decibel scale to the power/amplitude scale.
-class MS_API DBToAmplitude final : public TensorTransform {
+class DATASET_API DBToAmplitude final : public TensorTransform {
  public:
   /// \brief Constructor
   /// \param[in] ref Reference which the output will be scaled by.
@@ -304,7 +304,7 @@ class MS_API DBToAmplitude final : public TensorTransform {
 };
 
 /// \brief Apply a DC shift to the audio.
-class MS_API DCShift : public TensorTransform {
+class DATASET_API DCShift : public TensorTransform {
  public:
   /// \brief Constructor
   /// \param[in] shift Indicates the amount to shift the audio, the value must be in the range [-2.0, 2.0].
@@ -336,7 +336,7 @@ class MS_API DCShift : public TensorTransform {
 Status CreateDct(mindspore::MSTensor *output, int32_t n_mfcc, int32_t n_mels, NormMode norm = NormMode::kNone);
 
 /// \brief Design two-pole deemph filter. Similar to SoX implementation.
-class MS_API DeemphBiquad final : public TensorTransform {
+class DATASET_API DeemphBiquad final : public TensorTransform {
  public:
   /// \param[in] sample_rate Sampling rate of the waveform, the value can only be 44100 (Hz) or 48000(hz).
   explicit DeemphBiquad(int32_t sample_rate);
@@ -355,7 +355,7 @@ class MS_API DeemphBiquad final : public TensorTransform {
 };
 
 /// \brief Detect pitch frequency.
-class MS_API DetectPitchFrequency final : public TensorTransform {
+class DATASET_API DetectPitchFrequency final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz), the value can't be zero.
@@ -383,7 +383,7 @@ class MS_API DetectPitchFrequency final : public TensorTransform {
 
 /// \brief Dither increases the perceived dynamic range of audio stored at a
 ///     particular bit-depth by eliminating nonlinear truncation distortion.
-class MS_API Dither final : public TensorTransform {
+class DATASET_API Dither final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] density_function The density function of a continuous random variable.
@@ -408,7 +408,7 @@ class MS_API Dither final : public TensorTransform {
 };
 
 /// \brief EqualizerBiquad TensorTransform. Apply highpass biquad filter on audio.
-class MS_API EqualizerBiquad final : public TensorTransform {
+class DATASET_API EqualizerBiquad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz), the value can't be zero.
@@ -431,7 +431,7 @@ class MS_API EqualizerBiquad final : public TensorTransform {
 };
 
 /// \brief Add fade in or/and fade out on the input audio.
-class MS_API Fade final : public TensorTransform {
+class DATASET_API Fade final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] fade_in_len Length of fade-in (time frames), which must be non-negative
@@ -455,7 +455,7 @@ class MS_API Fade final : public TensorTransform {
 };
 
 /// \brief Design IIR forward and backward filter.
-class MS_API Filtfilt final : public TensorTransform {
+class DATASET_API Filtfilt final : public TensorTransform {
  public:
   /// \param[in] a_coeffs Numerator coefficients of difference equation of dimension of (n_order + 1).
   ///     Lower delays coefficients are first, e.g. [a0, a1, a2, ...].
@@ -480,7 +480,7 @@ class MS_API Filtfilt final : public TensorTransform {
 };
 
 /// \brief Apply a flanger effect to the audio.
-class MS_API Flanger final : public TensorTransform {
+class DATASET_API Flanger final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz).
@@ -513,7 +513,7 @@ class MS_API Flanger final : public TensorTransform {
 
 /// \brief FrequencyMasking TensorTransform.
 /// \notes Apply masking to a spectrogram in the frequency domain.
-class MS_API FrequencyMasking final : public TensorTransform {
+class DATASET_API FrequencyMasking final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] iid_masks Whether to apply different masks to each example.
@@ -539,7 +539,7 @@ class MS_API FrequencyMasking final : public TensorTransform {
 };
 
 /// \brief Apply amplification or attenuation to the whole waveform.
-class MS_API Gain final : public TensorTransform {
+class DATASET_API Gain final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] gain_db Gain adjustment in decibels (dB) (Default: 1.0).
@@ -559,7 +559,7 @@ class MS_API Gain final : public TensorTransform {
 };
 
 /// \brief Waveform calculation from linear scalar amplitude spectrogram using GriffinLim transform.
-class MS_API GriffinLim final : public TensorTransform {
+class DATASET_API GriffinLim final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \notes Calculated by formula:
@@ -594,7 +594,7 @@ class MS_API GriffinLim final : public TensorTransform {
 };
 
 /// \brief HighpassBiquad TensorTransform. Apply highpass biquad filter on audio.
-class MS_API HighpassBiquad final : public TensorTransform {
+class DATASET_API HighpassBiquad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz), the value can't be zero.
@@ -617,7 +617,7 @@ class MS_API HighpassBiquad final : public TensorTransform {
 
 /// \brief InverseMelScale TensorTransform
 /// \notes Solve for a normal STFT from a mel frequency STFT, using a conversion matrix.
-class MS_API InverseMelScale final : public TensorTransform {
+class DATASET_API InverseMelScale final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] n_stft Number of bins in STFT, must be positive.
@@ -653,7 +653,7 @@ class MS_API InverseMelScale final : public TensorTransform {
 };
 
 /// \brief Design filter. Similar to SoX implementation.
-class MS_API LFilter final : public TensorTransform {
+class DATASET_API LFilter final : public TensorTransform {
  public:
   /// \param[in] a_coeffs Numerator coefficients of difference equation of dimension of (n_order + 1).
   ///     Lower delays coefficients are first, e.g. [a0, a1, a2, ...].
@@ -685,11 +685,11 @@ class MS_API LFilter final : public TensorTransform {
 /// \param n_filter: Number of (linear) triangular filter.
 /// \param sample_rate: Sample rate.
 /// \return Status code.
-Status MS_API LinearFbanks(MSTensor *output, int32_t n_freqs, float f_min, float f_max, int32_t n_filter,
-                           int32_t sample_rate);
+Status DATASET_API LinearFbanks(MSTensor *output, int32_t n_freqs, float f_min, float f_max, int32_t n_filter,
+                                int32_t sample_rate);
 
 /// \brief Design biquad lowpass filter and perform filtering. Similar to SoX implementation.
-class MS_API LowpassBiquad final : public TensorTransform {
+class DATASET_API LowpassBiquad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz), the value can't be zero.
@@ -711,7 +711,7 @@ class MS_API LowpassBiquad final : public TensorTransform {
 };
 
 /// \brief Separate a complex-valued spectrogram with shape (..., 2) into its magnitude and phase.
-class MS_API Magphase final : public TensorTransform {
+class DATASET_API Magphase final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] power Power of the norm, which must be non-negative (Default: 1.0).
@@ -780,7 +780,7 @@ class MaskAlongAxisIID final : public TensorTransform {
 
 /// \brief MelScale TensorTransform.
 /// \notes Convert normal STFT to STFT at the Mel scale.
-class MS_API MelScale final : public TensorTransform {
+class DATASET_API MelScale final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] n_mels Number of mel filter, which must be positive (Default: 128).
@@ -817,12 +817,13 @@ class MS_API MelScale final : public TensorTransform {
 /// \param[in] norm Norm to use, can be NormType::kNone or NormType::kSlaney (Default: NormType::kNone).
 /// \param[in] mel_type Scale to use, can be MelType::kHtk or MelType::kSlaney (Default: MelType::kHtz).
 /// \return Status code.
-Status MS_API MelscaleFbanks(MSTensor *output, int32_t n_freqs, float f_min, float f_max, int32_t n_mels,
-                             int32_t sample_rate, NormType norm = NormType::kNone, MelType mel_type = MelType::kHtk);
+Status DATASET_API MelscaleFbanks(MSTensor *output, int32_t n_freqs, float f_min, float f_max, int32_t n_mels,
+                                  int32_t sample_rate, NormType norm = NormType::kNone,
+                                  MelType mel_type = MelType::kHtk);
 
 /// \brief MuLawDecoding TensorTransform.
 /// \note Decode mu-law encoded signal.
-class MS_API MuLawDecoding final : public TensorTransform {
+class DATASET_API MuLawDecoding final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] quantization_channels Number of channels, which must be positive (Default: 256).
@@ -843,7 +844,7 @@ class MS_API MuLawDecoding final : public TensorTransform {
 
 /// \brief MuLawEncoding TensorTransform.
 /// \note Encode signal based on mu-law companding.
-class MS_API MuLawEncoding final : public TensorTransform {
+class DATASET_API MuLawEncoding final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] quantization_channels Number of channels, which must be positive (Default: 256).
@@ -863,7 +864,7 @@ class MS_API MuLawEncoding final : public TensorTransform {
 };
 
 /// \brief Overdrive TensorTransform.
-class MS_API Overdrive final : public TensorTransform {
+class DATASET_API Overdrive final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] gain Coefficient of overload in dB, in range of [0, 100] (Default: 20.0).
@@ -884,7 +885,7 @@ class MS_API Overdrive final : public TensorTransform {
 };
 
 /// \brief Phaser TensorTransform.
-class MS_API Phaser final : public TensorTransform {
+class DATASET_API Phaser final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz).
@@ -915,7 +916,7 @@ class MS_API Phaser final : public TensorTransform {
 
 /// \brief PhaseVocoder TensorTransform
 /// \notes Given a STFT tensor, speed up in time without modifying pitch by factor of rate.
-class MS_API PhaseVocoder final : public TensorTransform {
+class DATASET_API PhaseVocoder final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] rate Speed-up factor.
@@ -937,7 +938,7 @@ class MS_API PhaseVocoder final : public TensorTransform {
 
 /// \brief Resample TensorTransform.
 /// \notes Resample a signal from one frequency to another. A sampling method can be given.
-class MS_API Resample : public TensorTransform {
+class DATASET_API Resample : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] orig_freq The original frequency of the signal, which must be positive (default=16000).
@@ -966,7 +967,7 @@ class MS_API Resample : public TensorTransform {
 };
 
 /// \brief Apply RIAA vinyl playback equalization.
-class MS_API RiaaBiquad final : public TensorTransform {
+class DATASET_API RiaaBiquad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz),
@@ -987,7 +988,7 @@ class MS_API RiaaBiquad final : public TensorTransform {
 };
 
 /// \brief Apply sliding-window cepstral mean (and optionally variance) normalization per utterance.
-class MS_API SlidingWindowCmn final : public TensorTransform {
+class DATASET_API SlidingWindowCmn final : public TensorTransform {
  public:
   /// \brief Constructor of SlidingWindowCmnOp.
   /// \param[in] cmn_window The window in frames for running average CMN computation (Default: 600).
@@ -1013,7 +1014,7 @@ class MS_API SlidingWindowCmn final : public TensorTransform {
 };
 
 /// \brief Create a spectral centroid from an audio signal.
-class MS_API SpectralCentroid : public TensorTransform {
+class DATASET_API SpectralCentroid : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz).
@@ -1046,7 +1047,7 @@ class MS_API SpectralCentroid : public TensorTransform {
 };
 
 /// \brief Create a spectrogram from an audio signal.
-class MS_API Spectrogram : public TensorTransform {
+class DATASET_API Spectrogram : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] n_fft Size of FFT, creates n_fft / 2 + 1 bins (Default: 400).
@@ -1092,7 +1093,7 @@ class MS_API Spectrogram : public TensorTransform {
 
 /// \brief TimeMasking TensorTransform.
 /// \notes Apply masking to a spectrogram in the time domain.
-class MS_API TimeMasking final : public TensorTransform {
+class DATASET_API TimeMasking final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] iid_masks Whether to apply different masks to each example.
@@ -1119,7 +1120,7 @@ class MS_API TimeMasking final : public TensorTransform {
 
 /// \brief TimeStretch TensorTransform
 /// \notes Stretch STFT in time at a given rate, without changing the pitch.
-class MS_API TimeStretch final : public TensorTransform {
+class DATASET_API TimeStretch final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] hop_length Length of hop between STFT windows (Default: None, will use ((n_freq - 1) * 2) // 2).
@@ -1143,7 +1144,7 @@ class MS_API TimeStretch final : public TensorTransform {
 };
 
 /// \brief Design a treble tone-control effect.
-class MS_API TrebleBiquad final : public TensorTransform {
+class DATASET_API TrebleBiquad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz), the value can't be zero.
@@ -1167,7 +1168,7 @@ class MS_API TrebleBiquad final : public TensorTransform {
 
 /// \brief Vad TensorTransform.
 /// \notes Attempt to trim silent background sounds from the end of the voice recording.
-class MS_API Vad final : public TensorTransform {
+class DATASET_API Vad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sample_rate Sample rate of audio signal.
@@ -1218,7 +1219,7 @@ class MS_API Vad final : public TensorTransform {
 
 /// \brief Vol TensorTransform.
 /// \notes Add a volume to an waveform.
-class MS_API Vol final : public TensorTransform {
+class DATASET_API Vol final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] gain Gain value, varies according to the value of gain_type. If gain_type is GainType::kAmplitude,
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/config.h b/mindspore/ccsrc/minddata/dataset/include/dataset/config.h
index 8a1ebf3cf9d..e9cc4bd59ee 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/config.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/config.h
@@ -37,7 +37,7 @@ namespace config {
 ///     // Operations with randomness will use the seed value to generate random values.
 ///     bool rc = config::set_seed(5);
 /// \endcode
-bool MS_API set_seed(int32_t seed);
+bool DATASET_API set_seed(int32_t seed);
 
 /// \brief A function to get the seed.
 /// \return The seed set in the configuration.
@@ -47,7 +47,7 @@ bool MS_API set_seed(int32_t seed);
 ///     // If set_seed() is never called before, the default value(std::mt19937::default_seed) will be returned.
 ///     uint32_t seed = config::get_seed();
 /// \endcode
-uint32_t MS_API get_seed();
+uint32_t DATASET_API get_seed();
 
 /// \brief A function to set the number of rows to be prefetched.
 /// \param[in] prefetch_size Total number of rows to be prefetched.
@@ -57,7 +57,7 @@ uint32_t MS_API get_seed();
 ///     // Set a new global configuration value for the prefetch size.
 ///     bool rc = config::set_prefetch_size(1000);
 /// \endcode
-bool MS_API set_prefetch_size(int32_t prefetch_size);
+bool DATASET_API set_prefetch_size(int32_t prefetch_size);
 
 /// \brief A function to get the prefetch size in number of rows.
 /// \return Total number of rows to be prefetched.
@@ -67,7 +67,7 @@ bool MS_API set_prefetch_size(int32_t prefetch_size);
 ///     // If set_prefetch_size() is never called before, the default value(16) will be returned.
 ///     int32_t prefetch_size = config::get_prefetch_size();
 /// \endcode
-int32_t MS_API get_prefetch_size();
+int32_t DATASET_API get_prefetch_size();
 
 /// \brief A function to set the default number of parallel workers.
 /// \param[in] num_parallel_workers Number of parallel workers to be used as the default for each operation.
@@ -78,7 +78,7 @@ int32_t MS_API get_prefetch_size();
 ///     // Now parallel dataset operators will run with 16 workers.
 ///     bool rc = config::set_num_parallel_workers(16);
 /// \endcode
-bool MS_API set_num_parallel_workers(int32_t num_parallel_workers);
+bool DATASET_API set_num_parallel_workers(int32_t num_parallel_workers);
 
 /// \brief A function to get the default number of parallel workers.
 /// \return Number of parallel workers to be used as the default for each operation.
@@ -88,7 +88,7 @@ bool MS_API set_num_parallel_workers(int32_t num_parallel_workers);
 ///     // If set_num_parallel_workers() is never called before, the default value(8) will be returned.
 ///     int32_t parallel_workers = config::get_num_parallel_workers();
 /// \endcode
-int32_t MS_API get_num_parallel_workers();
+int32_t DATASET_API get_num_parallel_workers();
 
 /// \brief A function to set the default interval (in milliseconds) for monitor sampling.
 /// \param[in] interval Interval (in milliseconds) to be used for performance monitor sampling.
@@ -98,7 +98,7 @@ int32_t MS_API get_num_parallel_workers();
 ///     // Set a new global configuration value for the monitor sampling interval.
 ///     bool rc = config::set_monitor_sampling_interval(100);
 /// \endcode
-bool MS_API set_monitor_sampling_interval(int32_t interval);
+bool DATASET_API set_monitor_sampling_interval(int32_t interval);
 
 /// \brief A function to get the default interval of performance monitor sampling.
 /// \return Interval (in milliseconds) for performance monitor sampling.
@@ -108,7 +108,7 @@ bool MS_API set_monitor_sampling_interval(int32_t interval);
 ///     // If set_monitor_sampling_interval() is never called before, the default value(1000) will be returned.
 ///     int32_t sampling_interval = config::get_monitor_sampling_interval();
 /// \endcode
-int32_t MS_API get_monitor_sampling_interval();
+int32_t DATASET_API get_monitor_sampling_interval();
 
 /// \brief A function to set the default timeout (in seconds) for DSWaitedCallback. In case of a deadlock, the wait
 ///    function will exit after the timeout period.
@@ -119,7 +119,7 @@ int32_t MS_API get_monitor_sampling_interval();
 ///     // Set a new global configuration value for the timeout value.
 ///     bool rc = config::set_callback_timeout(100);
 /// \endcode
-bool MS_API set_callback_timeout(int32_t timeout);
+bool DATASET_API set_callback_timeout(int32_t timeout);
 
 /// \brief A function to get the default timeout for DSWaitedCallback. In case of a deadback, the wait function
 ///    will exit after the timeout period.
@@ -130,7 +130,7 @@ bool MS_API set_callback_timeout(int32_t timeout);
 ///     // If set_callback_timeout() is never called before, the default value(60) will be returned.
 ///     int32_t callback_timeout = config::get_callback_timeout();
 /// \endcode
-int32_t MS_API get_callback_timeout();
+int32_t DATASET_API get_callback_timeout();
 
 /// \brief A function to load the configuration from a file.
 /// \param[in] file Path of the configuration file to be loaded.
@@ -138,7 +138,7 @@ int32_t MS_API get_callback_timeout();
 /// \note The reason for using this API is that std::string will be constrained by the
 ///    compiler option '_GLIBCXX_USE_CXX11_ABI' while char is free of this restriction.
 ///    Check API `mindspore::dataset::config::load(const std::string &file)` and find more usage.
-bool MS_API load(const std::vector<char> &file);
+bool DATASET_API load(const std::vector<char> &file);
 
 /// \brief A function to load the configuration from a file.
 /// \param[in] file Path of the configuration file to be loaded.
@@ -156,7 +156,7 @@ bool MS_API load(const std::vector<char> &file);
 ///     std::string config_file = "/path/to/config/file";
 ///     bool rc = config::load(config_file);
 /// \endcode
-inline bool MS_API load(const std::string &file) { return load(StringToChar(file)); }
+inline bool DATASET_API load(const std::string &file) { return load(StringToChar(file)); }
 }  // namespace config
 }  // namespace dataset
 }  // namespace mindspore
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/constants.h b/mindspore/ccsrc/minddata/dataset/include/dataset/constants.h
index 215cbde2c98..d9938b71d78 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/constants.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/constants.h
@@ -29,26 +29,26 @@ using uchar = unsigned char;
 using dsize_t = int64_t;
 
 /// \brief The modulation in Flanger
-enum class MS_API Modulation {
+enum class DATASET_API Modulation {
   kSinusoidal = 0,  ///< Use sinusoidal modulation.
   kTriangular = 1   ///< Use triangular modulation.
 };
 
 /// \brief The interpolation in Flanger
-enum class MS_API Interpolation {
+enum class DATASET_API Interpolation {
   kLinear = 0,    ///< Use linear for delay-line interpolation.
   kQuadratic = 1  ///< Use quadratic for delay-line interpolation.
 };
 
 /// \brief The dataset auto augment policy in AutoAugment
-enum class MS_API AutoAugmentPolicy {
+enum class DATASET_API AutoAugmentPolicy {
   kImageNet = 0,  ///< AutoAugment policy learned on the ImageNet dataset.
   kCifar10 = 1,   ///< AutoAugment policy learned on the Cifar10 dataset.
   kSVHN = 2       ///< AutoAugment policy learned on the SVHN dataset.
 };
 
 /// \brief The color conversion code
-enum class MS_API ConvertMode {
+enum class DATASET_API ConvertMode {
   COLOR_BGR2BGRA = 0,                 ///< Add alpha channel to BGR image.
   COLOR_RGB2RGBA = COLOR_BGR2BGRA,    ///< Add alpha channel to RGB image.
   COLOR_BGRA2BGR = 1,                 ///< Remove alpha channel to BGR image.
@@ -72,46 +72,46 @@ enum class MS_API ConvertMode {
 };
 
 // \brief Possible density function in Dither.
-enum MS_API DensityFunction {
+enum DATASET_API DensityFunction {
   kTPDF = 0,  ///< Use triangular probability density function.
   kRPDF = 1,  ///< Use rectangular probability density function.
   kGPDF = 2   ///< Use gaussian probability density function.
 };
 
 /// \brief Values of norm in CreateDct.
-enum class MS_API NormMode {
+enum class DATASET_API NormMode {
   kNone = 0,  ///< None type norm.
   kOrtho = 1  ///< Ortho type norm.
 };
 
 /// \brief Possible options for norm in MelscaleFbanks.
-enum class MS_API NormType {
+enum class DATASET_API NormType {
   kNone = 0,    ///< None type norm.
   kSlaney = 1,  ///< Slaney type norm.
 };
 
 /// \brief The mode for manual offload.
-enum class MS_API ManualOffloadMode {
+enum class DATASET_API ManualOffloadMode {
   kUnspecified,  ///< Not set, will use auto_offload setting instead.
   kDisabled,     ///< Do not perform offload.
   kEnabled       ///< Attempt to offload.
 };
 
 /// \brief Target devices to perform map operation.
-enum class MS_API MapTargetDevice {
+enum class DATASET_API MapTargetDevice {
   kCpu,       ///< CPU Device.
   kGpu,       ///< Gpu Device.
   kAscend310  ///< Ascend310 Device.
 };
 
 /// \brief Possible options for mel_type in MelscaleFbanks.
-enum class MS_API MelType {
+enum class DATASET_API MelType {
   kHtk = 0,     ///< Htk scale type.
   kSlaney = 1,  ///< Slaney scale type.
 };
 
 /// \brief The initial type of tensor implementation.
-enum class MS_API TensorImpl {
+enum class DATASET_API TensorImpl {
   kNone,      ///< None type tensor.
   kFlexible,  ///< Flexible type tensor, can be converted to any type.
   kCv,        ///< CV type tensor.
@@ -119,7 +119,7 @@ enum class MS_API TensorImpl {
 };
 
 /// \brief The mode for shuffling data.
-enum class MS_API ShuffleMode {
+enum class DATASET_API ShuffleMode {
   kFalse = 0,   ///< No shuffling is performed.
   kFiles = 1,   ///< Shuffle files only.
   kGlobal = 2,  ///< Shuffle both the files and samples.
@@ -127,20 +127,20 @@ enum class MS_API ShuffleMode {
 };
 
 /// \brief Possible scale for input audio.
-enum class MS_API ScaleType {
+enum class DATASET_API ScaleType {
   kMagnitude = 0,  ///< Audio scale is magnitude.
   kPower = 1,      ///< Audio scale is power.
 };
 
 /// \brief The scale for gain type.
-enum class MS_API GainType {
+enum class DATASET_API GainType {
   kAmplitude = 0,  ///< Audio gain type is amplitude.
   kPower = 1,      ///< Audio gain type is power.
   kDb = 2,         ///< Audio gain type is db.
 };
 
 /// \brief The method of padding.
-enum class MS_API BorderType {
+enum class DATASET_API BorderType {
   kConstant = 0,  ///< Fill the border with constant values.
   kEdge = 1,      ///< Fill the border with the last value on the edge.
   kReflect = 2,   ///< Reflect the values on the edge omitting the last value of edge.
@@ -148,7 +148,7 @@ enum class MS_API BorderType {
 };
 
 /// \brief Possible fix rotation angle for Rotate Op.
-enum class MS_API FixRotationAngle {
+enum class DATASET_API FixRotationAngle {
   k0Degree = 1,             ///< Rotate 0 degree.
   k0DegreeAndMirror = 2,    ///< Rotate 0 degree and apply horizontal flip.
   k180Degree = 3,           ///< Rotate 180 degree.
@@ -160,7 +160,7 @@ enum class MS_API FixRotationAngle {
 };
 
 /// \brief Possible types for windows function.
-enum class MS_API WindowType {
+enum class DATASET_API WindowType {
   kBartlett = 0,  ///< Bartlett window function.
   kBlackman = 1,  ///< Blackman window function.
   kHamming = 2,   ///< Hamming window function.
@@ -169,20 +169,20 @@ enum class MS_API WindowType {
 };
 
 /// \brief Possible options for Image format types in a batch.
-enum class MS_API ImageBatchFormat {
+enum class DATASET_API ImageBatchFormat {
   kNHWC = 0,  ///< Indicate the input batch is of NHWC format.
   kNCHW = 1   ///< Indicate the input batch is of NCHW format.
 };
 
 /// \brief Possible options for Image format types.
-enum class MS_API ImageFormat {
+enum class DATASET_API ImageFormat {
   HWC = 0,  ///< Indicate the input batch is of NHWC format
   CHW = 1,  ///< Indicate the input batch is of NHWC format
   HW = 2    ///< Indicate the input batch is of NHWC format
 };
 
 /// \brief Possible options for interpolation method.
-enum class MS_API InterpolationMode {
+enum class DATASET_API InterpolationMode {
   kLinear = 0,            ///< Interpolation method is linear interpolation.
   kNearestNeighbour = 1,  ///< Interpolation method is nearest-neighbor interpolation.
   kCubic = 2,             ///< Interpolation method is bicubic interpolation.
@@ -191,13 +191,13 @@ enum class MS_API InterpolationMode {
 };
 
 /// \brief Possible formats for Vdec output image.
-enum class MS_API VdecOutputFormat {
+enum class DATASET_API VdecOutputFormat {
   kYuvSemiplanar420 = 1,  ///< Output image with PIXEL_FORMAT_YUV_SEMIPLANAR_420.
   kYvuSemiplanar420 = 2,  ///< Output image with PIXEL_FORMAT_YVU_SEMIPLANAR_420.
 };
 
 /// \brief Possible formats for Vdec input video.
-enum class MS_API VdecStreamFormat {
+enum class DATASET_API VdecStreamFormat {
   kH265MainLevel = 0,  ///< Input video with H265_MAIN_LEVEL
   kH264BaselineLevel,  ///< Input video with H264_BASELINE_LEVEL
   kH264MainLevel,      ///< Input video with H264_MAIN_LEVEL
@@ -205,26 +205,26 @@ enum class MS_API VdecStreamFormat {
 };
 
 /// \brief Possible tokenize modes for JiebaTokenizer.
-enum class MS_API JiebaMode {
+enum class DATASET_API JiebaMode {
   kMix = 0,  ///< Tokenize with MPSegment algorithm.
   kMp = 1,   ///< Tokenize with Hiddel Markov Model Segment algorithm.
   kHmm = 2   ///< Tokenize with a mix of MPSegment and HMMSegment algorithm.
 };
 
 /// \brief Possible options for SPieceTokenizerOutType.
-enum class MS_API SPieceTokenizerOutType {
+enum class DATASET_API SPieceTokenizerOutType {
   kString = 0,  ///< Output of sentencepiece tokenizer is string type.
   kInt = 1      ///< Output of sentencepiece tokenizer is int type.
 };
 
 /// \brief Possible options for SPieceTokenizerLoadType.
-enum class MS_API SPieceTokenizerLoadType {
+enum class DATASET_API SPieceTokenizerLoadType {
   kFile = 0,  ///< Load sentencepiece tokenizer from local sentencepiece vocab file.
   kModel = 1  ///< Load sentencepiece tokenizer from sentencepiece vocab instance.
 };
 
 /// \brief Type options for SentencePiece Model.
-enum class MS_API SentencePieceModel {
+enum class DATASET_API SentencePieceModel {
   kUnigram = 0,  ///< Based on Unigram model.
   kBpe = 1,      ///< Based on Byte Pair Encoding (BPE) model.
   kChar = 2,     ///< Based on Char model.
@@ -232,7 +232,7 @@ enum class MS_API SentencePieceModel {
 };
 
 /// \brief Possible options to specify a specific normalize mode.
-enum class MS_API NormalizeForm {
+enum class DATASET_API NormalizeForm {
   kNone = 0,  ///< Keep the input string tensor unchanged.
   kNfc,       ///< Normalize with Normalization Form C.
   kNfkc,      ///< Normalize with Normalization Form KC.
@@ -241,7 +241,7 @@ enum class MS_API NormalizeForm {
 };
 
 /// \brief Possible options for Mask.
-enum class MS_API RelationalOp {
+enum class DATASET_API RelationalOp {
   kEqual = 0,     ///< equal to `==`
   kNotEqual,      ///< equal to `!=`
   kLess,          ///< equal to `<`
@@ -251,26 +251,26 @@ enum class MS_API RelationalOp {
 };
 
 /// \brief Possible modes for slice patches.
-enum class MS_API SliceMode {
+enum class DATASET_API SliceMode {
   kPad = 0,   ///< Pad some pixels before slice to patches.
   kDrop = 1,  ///< Drop remainder pixels before slice to patches.
 };
 
 /// \brief Possible options for SamplingStrategy.
-enum class MS_API SamplingStrategy {
+enum class DATASET_API SamplingStrategy {
   kRandom = 0,     ///< Random sampling with replacement.
   kEdgeWeight = 1  ///< Sampling with edge weight as probability.
 };
 
 /// \brief Possible values for output format in get all neighbors function of gnn dataset
-enum class MS_API OutputFormat {
+enum class DATASET_API OutputFormat {
   kNormal = 0,  ///< Normal format.
   kCoo = 1,     ///< COO format.
   kCsr = 2      ///< CSR format.
 };
 
 /// \brief Possible options for fade shape.
-enum class MS_API FadeShape {
+enum class DATASET_API FadeShape {
   kLinear = 0,       ///< Fade shape is linear mode.
   kExponential = 1,  ///< Fade shape is exponential mode.
   kLogarithmic = 2,  ///< Fade shape is logarithmic mode.
@@ -279,7 +279,7 @@ enum class MS_API FadeShape {
 };
 
 /// \brief Sample method for audio resample.
-enum class MS_API ResampleMethod {
+enum class DATASET_API ResampleMethod {
   kSincInterpolation = 0,  ///< Resample audio by sinc interpolation method
   kKaiserWindow = 1,       ///< Resample audio by Kaiser window
 };
@@ -288,12 +288,12 @@ enum class MS_API ResampleMethod {
 /// \param[in] bits a 32bit int to be tested
 /// \param[in] bitMask a 32bit int representing bit mask
 /// \return bool Result for the check
-inline bool MS_API BitTest(uint32_t bits, uint32_t bitMask) { return (bits & bitMask) == bitMask; }
+inline bool DATASET_API BitTest(uint32_t bits, uint32_t bitMask) { return (bits & bitMask) == bitMask; }
 
 /// \brief Convenience function to set bitmask for a 32bit int
 /// \param[in] bits a 32bit int to deal with
 /// \param[in] bitMask a 32bit int representing bit mask
-inline void MS_API BitSet(uint32_t *bits, uint32_t bitMask) {
+inline void DATASET_API BitSet(uint32_t *bits, uint32_t bitMask) {
   if (bits == nullptr) {
     return;
   }
@@ -303,7 +303,7 @@ inline void MS_API BitSet(uint32_t *bits, uint32_t bitMask) {
 /// \brief Convenience function to clear bitmask from a 32bit int
 /// \param[in] bits a 32bit int to deal with
 /// \param[in] bitMask a 32bit int representing bit mask
-inline void MS_API BitClear(uint32_t *bits, uint32_t bitMask) {
+inline void DATASET_API BitClear(uint32_t *bits, uint32_t bitMask) {
   if (bits == nullptr) {
     return;
   }
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/data_helper.h b/mindspore/ccsrc/minddata/dataset/include/dataset/data_helper.h
index 93007e554fe..b0bac63f46a 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/data_helper.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/data_helper.h
@@ -33,7 +33,7 @@ namespace mindspore {
 namespace dataset {
 
 /// \brief Simple class to do data manipulation, contains helper function to update json files in dataset
-class MS_API DataHelper {
+class DATASET_API DataHelper {
  public:
   /// \brief constructor
   DataHelper() = default;
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/datasets.h b/mindspore/ccsrc/minddata/dataset/include/dataset/datasets.h
index d9d48752252..0a4436d55a5 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/datasets.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/datasets.h
@@ -82,7 +82,7 @@ class ZipDataset;
 
 /// \class Dataset datasets.h
 /// \brief A base class to represent a dataset in the data pipeline.
-class MS_API Dataset : public std::enable_shared_from_this<Dataset> {
+class DATASET_API Dataset : public std::enable_shared_from_this<Dataset> {
  public:
   // need friend class so they can access the children_ field
   friend class Iterator;
@@ -641,7 +641,7 @@ class MS_API Dataset : public std::enable_shared_from_this<Dataset> {
 
 /// \class SchemaObj
 /// \brief A schema object to set column type, data type and data shape.
-class MS_API SchemaObj {
+class DATASET_API SchemaObj {
  public:
   /// \brief Constructor
   explicit SchemaObj(const std::string &schema_file = "") : SchemaObj(StringToChar(schema_file)) {}
@@ -764,7 +764,7 @@ class MS_API SchemaObj {
 
 /// \class BatchDataset
 /// \brief The result of applying Batch operator to the input dataset.
-class MS_API BatchDataset : public Dataset {
+class DATASET_API BatchDataset : public Dataset {
  public:
   /// \brief Constructor of BatchDataset.
   /// \note Combines batch_size number of consecutive rows into batches.
@@ -782,7 +782,7 @@ class MS_API BatchDataset : public Dataset {
 
 /// \class BucketBatchByLengthDataset
 /// \brief The result of applying BucketBatchByLength operator to the input dataset.
-class MS_API BucketBatchByLengthDataset : public Dataset {
+class DATASET_API BucketBatchByLengthDataset : public Dataset {
  public:
   /// \brief Constructor of BucketBatchByLengthDataset.
   /// \note Bucket elements according to their lengths. Each bucket will be padded and batched when
@@ -823,7 +823,7 @@ class MS_API BucketBatchByLengthDataset : public Dataset {
 
 /// \class ConcatDataset
 /// \brief The result of applying concat dataset operator to the input Dataset.
-class MS_API ConcatDataset : public Dataset {
+class DATASET_API ConcatDataset : public Dataset {
  public:
   /// \brief Constructor of ConcatDataset.
   /// \note Concat the datasets in the input.
@@ -836,7 +836,7 @@ class MS_API ConcatDataset : public Dataset {
 
 /// \class FilterDataset
 /// \brief The result of applying filter predicate to the input Dataset.
-class MS_API FilterDataset : public Dataset {
+class DATASET_API FilterDataset : public Dataset {
  public:
   /// \brief Constructor of FilterDataset.
   /// \note If input_columns is not provided or empty, all columns will be used.
@@ -852,7 +852,7 @@ class MS_API FilterDataset : public Dataset {
 
 /// \class MapDataset
 /// \brief The result of applying the Map operator to the input Dataset.
-class MS_API MapDataset : public Dataset {
+class DATASET_API MapDataset : public Dataset {
  public:
   /// \brief Constructor of MapDataset.
   /// \note Applies each operation in operations to this dataset.
@@ -882,7 +882,7 @@ class MS_API MapDataset : public Dataset {
 
 /// \class ProjectDataset
 /// \brief The result of applying the Project operator to the input Dataset.
-class MS_API ProjectDataset : public Dataset {
+class DATASET_API ProjectDataset : public Dataset {
  public:
   /// \brief Constructor of ProjectDataset.
   /// \note Applies project to the dataset.
@@ -896,7 +896,7 @@ class MS_API ProjectDataset : public Dataset {
 
 /// \class RenameDataset
 /// \brief The result of applying the Rename operator to the input Dataset.
-class MS_API RenameDataset : public Dataset {
+class DATASET_API RenameDataset : public Dataset {
  public:
   /// \brief Constructor of RenameDataset.
   /// \note Renames the columns in the input dataset.
@@ -912,7 +912,7 @@ class MS_API RenameDataset : public Dataset {
 
 /// \class RepeatDataset
 /// \brief The result of applying the Repeat operator to the input Dataset.
-class MS_API RepeatDataset : public Dataset {
+class DATASET_API RepeatDataset : public Dataset {
  public:
   /// \brief Constructor of RepeatDataset.
   /// \note Repeats this dataset count times. Repeat indefinitely if count is -1.
@@ -926,7 +926,7 @@ class MS_API RepeatDataset : public Dataset {
 
 /// \class ShuffleDataset
 /// \brief The result of applying the Shuffle operator to the input Dataset.
-class MS_API ShuffleDataset : public Dataset {
+class DATASET_API ShuffleDataset : public Dataset {
  public:
   /// \brief Constructor of ShuffleDataset.
   /// \note Randomly shuffles the rows of this dataset.
@@ -940,7 +940,7 @@ class MS_API ShuffleDataset : public Dataset {
 
 /// \class SkipDataset
 /// \brief The result of applying the Skip operator to the input Dataset.
-class MS_API SkipDataset : public Dataset {
+class DATASET_API SkipDataset : public Dataset {
  public:
   /// \brief Constructor of SkipDataset.
   /// \note Skips count elements in this dataset.
@@ -954,7 +954,7 @@ class MS_API SkipDataset : public Dataset {
 
 /// \class TakeDataset
 /// \brief The result of applying the Take operator to the input Dataset.
-class MS_API TakeDataset : public Dataset {
+class DATASET_API TakeDataset : public Dataset {
  public:
   /// \brief Constructor of TakeDataset.
   /// \note Takes count elements in this dataset.
@@ -968,7 +968,7 @@ class MS_API TakeDataset : public Dataset {
 
 /// \class ZipDataset
 /// \brief The result of applying the Zip operator to the input Dataset.
-class MS_API ZipDataset : public Dataset {
+class DATASET_API ZipDataset : public Dataset {
  public:
   /// \brief Constructor of ZipDataset.
   /// \note Applies zip to the dataset.
@@ -985,7 +985,7 @@ class MS_API ZipDataset : public Dataset {
 ///    compiler option '_GLIBCXX_USE_CXX11_ABI' while char is free of this restriction.
 ///    Check API `mindspore::dataset::Schema` and find more usage.
 /// \return Shared pointer to the current schema.
-std::shared_ptr<SchemaObj> MS_API SchemaCharIF(const std::vector<char> &schema_file);
+std::shared_ptr<SchemaObj> DATASET_API SchemaCharIF(const std::vector<char> &schema_file);
 
 /// \brief Function to create a SchemaObj.
 /// \param[in] schema_file Path of schema file (default = "", which means do not set the path).
@@ -998,13 +998,13 @@ std::shared_ptr<SchemaObj> MS_API SchemaCharIF(const std::vector<char> &schema_f
 ///      schema->add_column("label", mindspore::DataType::kNumberTypeUInt8, {1});
 ///      std::shared_ptr<Dataset> ds = RandomData(50, schema);
 /// \endcode
-inline std::shared_ptr<SchemaObj> MS_API Schema(const std::string &schema_file = "") {
+inline std::shared_ptr<SchemaObj> DATASET_API Schema(const std::string &schema_file = "") {
   return SchemaCharIF(StringToChar(schema_file));
 }
 
 /// \class AGNewsDataset
 /// \brief A source dataset that reads and parses AG News datasets.
-class MS_API AGNewsDataset : public Dataset {
+class DATASET_API AGNewsDataset : public Dataset {
  public:
   /// \brief Constructor of AGNewsDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -1044,17 +1044,18 @@ class MS_API AGNewsDataset : public Dataset {
 ///     specified only when num_shards is also specified (Default = 0).
 /// \param[in] cache Tensor cache to use.(default=nullptr which means no cache is used).
 /// \return Shared pointer to the AGNewsDataset.
-inline std::shared_ptr<AGNewsDataset> MS_API AGNews(const std::string &dataset_dir, const std::string &usage = "all",
-                                                    int64_t num_samples = 0, ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                    int32_t num_shards = 1, int32_t shard_id = 0,
-                                                    const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<AGNewsDataset> DATASET_API AGNews(const std::string &dataset_dir,
+                                                         const std::string &usage = "all", int64_t num_samples = 0,
+                                                         ShuffleMode shuffle = ShuffleMode::kGlobal,
+                                                         int32_t num_shards = 1, int32_t shard_id = 0,
+                                                         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<AGNewsDataset>(StringToChar(dataset_dir), StringToChar(usage), num_samples, shuffle,
                                          num_shards, shard_id, cache);
 }
 
 /// \class AlbumDataset
 /// \brief A source dataset for reading and parsing Album dataset.
-class MS_API AlbumDataset : public Dataset {
+class DATASET_API AlbumDataset : public Dataset {
  public:
   /// \brief Constructor of AlbumDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -1122,7 +1123,7 @@ class MS_API AlbumDataset : public Dataset {
 ///      /* Note: As we defined before, each data dictionary owns keys "image", "label" and "id" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<AlbumDataset> MS_API
+inline std::shared_ptr<AlbumDataset> DATASET_API
 Album(const std::string &dataset_dir, const std::string &data_schema, const std::vector<std::string> &column_names = {},
       bool decode = false, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
       const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -1139,10 +1140,10 @@ Album(const std::string &dataset_dir, const std::string &data_schema, const std:
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the AlbumDataset
-inline std::shared_ptr<AlbumDataset> MS_API Album(const std::string &dataset_dir, const std::string &data_schema,
-                                                  const std::vector<std::string> &column_names, bool decode,
-                                                  const Sampler *sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<AlbumDataset> DATASET_API Album(const std::string &dataset_dir, const std::string &data_schema,
+                                                       const std::vector<std::string> &column_names, bool decode,
+                                                       const Sampler *sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<AlbumDataset>(StringToChar(dataset_dir), StringToChar(data_schema),
                                         VectorStringToChar(column_names), decode, sampler, cache);
 }
@@ -1156,17 +1157,17 @@ inline std::shared_ptr<AlbumDataset> MS_API Album(const std::string &dataset_dir
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the AlbumDataset.
-inline std::shared_ptr<AlbumDataset> MS_API Album(const std::string &dataset_dir, const std::string &data_schema,
-                                                  const std::vector<std::string> &column_names, bool decode,
-                                                  const std::reference_wrapper<Sampler> &sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<AlbumDataset> DATASET_API Album(const std::string &dataset_dir, const std::string &data_schema,
+                                                       const std::vector<std::string> &column_names, bool decode,
+                                                       const std::reference_wrapper<Sampler> &sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<AlbumDataset>(StringToChar(dataset_dir), StringToChar(data_schema),
                                         VectorStringToChar(column_names), decode, sampler, cache);
 }
 
 /// \class AmazonReviewDataset
 /// \brief A source dataset for reading and parsing Amazon Review Polarity and Amazon Review Full datasets.
-class MS_API AmazonReviewDataset : public Dataset {
+class DATASET_API AmazonReviewDataset : public Dataset {
  public:
   /// \brief Constructor of AmazonReviewDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -1220,19 +1221,17 @@ class MS_API AmazonReviewDataset : public Dataset {
 ///      /* Note: In AmazonReview dataset, each data dictionary owns keys "label", "title", "content" */
 ///      auto title = row["title"];
 /// \endcode
-inline std::shared_ptr<AmazonReviewDataset> MS_API AmazonReview(const std::string &dataset_dir,
-                                                                const std::string &usage = "all",
-                                                                int64_t num_samples = 0,
-                                                                ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                                int32_t num_shards = 1, int32_t shard_id = 0,
-                                                                const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<AmazonReviewDataset> DATASET_API
+AmazonReview(const std::string &dataset_dir, const std::string &usage = "all", int64_t num_samples = 0,
+             ShuffleMode shuffle = ShuffleMode::kGlobal, int32_t num_shards = 1, int32_t shard_id = 0,
+             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<AmazonReviewDataset>(StringToChar(dataset_dir), StringToChar(usage), num_samples, shuffle,
                                                num_shards, shard_id, cache);
 }
 
 /// \class Caltech256Dataset
 /// \brief A source dataset for reading and parsing Caltech256 dataset.
-class MS_API Caltech256Dataset : public Dataset {
+class DATASET_API Caltech256Dataset : public Dataset {
  public:
   /// \brief Constructor of Caltech256Dataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -1284,7 +1283,7 @@ class MS_API Caltech256Dataset : public Dataset {
 ///      /* Note: In Caltech256 dataset, each data dictionary has keys "image" and "label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<Caltech256Dataset> MS_API
+inline std::shared_ptr<Caltech256Dataset> DATASET_API
 Caltech256(const std::string &dataset_dir, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
            bool decode = false, const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<Caltech256Dataset>(StringToChar(dataset_dir), decode, sampler, cache);
@@ -1297,9 +1296,9 @@ Caltech256(const std::string &dataset_dir, const std::shared_ptr<Sampler> &sampl
 /// \param[in] decode Decode the images after reading (default=false).
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the Caltech256Dataset.
-inline std::shared_ptr<Caltech256Dataset> MS_API Caltech256(const std::string &dataset_dir, const Sampler *sampler,
-                                                            bool decode = false,
-                                                            const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<Caltech256Dataset> DATASET_API Caltech256(const std::string &dataset_dir, const Sampler *sampler,
+                                                                 bool decode = false,
+                                                                 const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<Caltech256Dataset>(StringToChar(dataset_dir), decode, sampler, cache);
 }
 
@@ -1310,16 +1309,16 @@ inline std::shared_ptr<Caltech256Dataset> MS_API Caltech256(const std::string &d
 /// \param[in] decode Decode the images after reading (default=false).
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the Caltech256Dataset.
-inline std::shared_ptr<Caltech256Dataset> MS_API Caltech256(const std::string &dataset_dir,
-                                                            const std::reference_wrapper<Sampler> &sampler,
-                                                            bool decode = false,
-                                                            const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<Caltech256Dataset> DATASET_API Caltech256(const std::string &dataset_dir,
+                                                                 const std::reference_wrapper<Sampler> &sampler,
+                                                                 bool decode = false,
+                                                                 const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<Caltech256Dataset>(StringToChar(dataset_dir), decode, sampler, cache);
 }
 
 /// \class CelebADataset
 /// \brief A source dataset for reading and parsing CelebA dataset.
-class MS_API CelebADataset : public Dataset {
+class DATASET_API CelebADataset : public Dataset {
  public:
   /// \brief Constructor of CelebADataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -1383,7 +1382,7 @@ class MS_API CelebADataset : public Dataset {
 ///      /* Note: In CelebA dataset, each data dictionary owns keys "image" and "attr" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<CelebADataset> MS_API
+inline std::shared_ptr<CelebADataset> DATASET_API
 CelebA(const std::string &dataset_dir, const std::string &usage = "all",
        const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(), bool decode = false,
        const std::set<std::string> &extensions = {}, const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -1401,10 +1400,10 @@ CelebA(const std::string &dataset_dir, const std::string &usage = "all",
 /// \param[in] extensions Set of file extensions to be included in the dataset (default={}).
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the CelebADataset.
-inline std::shared_ptr<CelebADataset> MS_API CelebA(const std::string &dataset_dir, const std::string &usage,
-                                                    const Sampler *sampler, bool decode = false,
-                                                    const std::set<std::string> &extensions = {},
-                                                    const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<CelebADataset> DATASET_API CelebA(const std::string &dataset_dir, const std::string &usage,
+                                                         const Sampler *sampler, bool decode = false,
+                                                         const std::set<std::string> &extensions = {},
+                                                         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<CelebADataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, decode,
                                          SetStringToChar(extensions), cache);
 }
@@ -1419,17 +1418,18 @@ inline std::shared_ptr<CelebADataset> MS_API CelebA(const std::string &dataset_d
 /// \param[in] extensions Set of file extensions to be included in the dataset (default={}).
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the CelebADataset.
-inline std::shared_ptr<CelebADataset> MS_API CelebA(const std::string &dataset_dir, const std::string &usage,
-                                                    const std::reference_wrapper<Sampler> &sampler, bool decode = false,
-                                                    const std::set<std::string> &extensions = {},
-                                                    const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<CelebADataset> DATASET_API CelebA(const std::string &dataset_dir, const std::string &usage,
+                                                         const std::reference_wrapper<Sampler> &sampler,
+                                                         bool decode = false,
+                                                         const std::set<std::string> &extensions = {},
+                                                         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<CelebADataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, decode,
                                          SetStringToChar(extensions), cache);
 }
 
 /// \class Cifar10Dataset
 /// \brief A source dataset for reading and parsing Cifar10 dataset.
-class MS_API Cifar10Dataset : public Dataset {
+class DATASET_API Cifar10Dataset : public Dataset {
  public:
   /// \brief Constructor of Cifar10Dataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -1482,7 +1482,7 @@ class MS_API Cifar10Dataset : public Dataset {
 ///      /* Note: In CIFAR10 dataset, each data dictionary owns keys "image" and "label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<Cifar10Dataset> MS_API
+inline std::shared_ptr<Cifar10Dataset> DATASET_API
 Cifar10(const std::string &dataset_dir, const std::string &usage = "all",
         const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
         const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -1496,9 +1496,9 @@ Cifar10(const std::string &dataset_dir, const std::string &usage = "all",
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the Cifar10Dataset.
-inline std::shared_ptr<Cifar10Dataset> MS_API Cifar10(const std::string &dataset_dir, const std::string &usage,
-                                                      const Sampler *sampler,
-                                                      const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<Cifar10Dataset> DATASET_API Cifar10(const std::string &dataset_dir, const std::string &usage,
+                                                           const Sampler *sampler,
+                                                           const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<Cifar10Dataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
@@ -1509,15 +1509,15 @@ inline std::shared_ptr<Cifar10Dataset> MS_API Cifar10(const std::string &dataset
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the Cifar10Dataset.
-inline std::shared_ptr<Cifar10Dataset> MS_API Cifar10(const std::string &dataset_dir, const std::string &usage,
-                                                      const std::reference_wrapper<Sampler> &sampler,
-                                                      const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<Cifar10Dataset> DATASET_API Cifar10(const std::string &dataset_dir, const std::string &usage,
+                                                           const std::reference_wrapper<Sampler> &sampler,
+                                                           const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<Cifar10Dataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
 /// \class Cifar100Dataset
 /// \brief A source dataset for reading and parsing Cifar100 dataset.
-class MS_API Cifar100Dataset : public Dataset {
+class DATASET_API Cifar100Dataset : public Dataset {
  public:
   /// \brief Constructor of Cifar100Dataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -1570,7 +1570,7 @@ class MS_API Cifar100Dataset : public Dataset {
 ///      /* Note: In CIFAR100 dataset, each dictionary has 3 keys: "image", "fine_label" and "coarse_label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<Cifar100Dataset> MS_API
+inline std::shared_ptr<Cifar100Dataset> DATASET_API
 Cifar100(const std::string &dataset_dir, const std::string &usage = "all",
          const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
          const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -1584,9 +1584,9 @@ Cifar100(const std::string &dataset_dir, const std::string &usage = "all",
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the Cifar100Dataset.
-inline std::shared_ptr<Cifar100Dataset> MS_API Cifar100(const std::string &dataset_dir, const std::string &usage,
-                                                        const Sampler *sampler,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<Cifar100Dataset> DATASET_API Cifar100(const std::string &dataset_dir, const std::string &usage,
+                                                             const Sampler *sampler,
+                                                             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<Cifar100Dataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
@@ -1597,15 +1597,15 @@ inline std::shared_ptr<Cifar100Dataset> MS_API Cifar100(const std::string &datas
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the Cifar100Dataset.
-inline std::shared_ptr<Cifar100Dataset> MS_API Cifar100(const std::string &dataset_dir, const std::string &usage,
-                                                        const std::reference_wrapper<Sampler> &sampler,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<Cifar100Dataset> DATASET_API Cifar100(const std::string &dataset_dir, const std::string &usage,
+                                                             const std::reference_wrapper<Sampler> &sampler,
+                                                             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<Cifar100Dataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
 /// \class CityscapesDataset
 /// \brief A source dataset for reading and parsing Cityscapes dataset.
-class MS_API CityscapesDataset : public Dataset {
+class DATASET_API CityscapesDataset : public Dataset {
  public:
   /// \brief Constructor of CityscapesDataset.
   /// \param[in] dataset_dir The dataset dir to be read.
@@ -1685,7 +1685,7 @@ class MS_API CityscapesDataset : public Dataset {
 ///      /* Note: In Cityscapes dataset, each data dictionary owns keys "image" and "task" */
 ///      auto task = row["task"];
 /// \endcode
-inline std::shared_ptr<CityscapesDataset> MS_API Cityscapes(
+inline std::shared_ptr<CityscapesDataset> DATASET_API Cityscapes(
   const std::string &dataset_dir, const std::string &usage, const std::string &quality_mode, const std::string &task,
   bool decode = false, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
   const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -1706,10 +1706,9 @@ inline std::shared_ptr<CityscapesDataset> MS_API Cityscapes(
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current CityscapesDataset.
-inline std::shared_ptr<CityscapesDataset> MS_API Cityscapes(const std::string &dataset_dir, const std::string &usage,
-                                                            const std::string &quality_mode, const std::string &task,
-                                                            bool decode, const Sampler *sampler,
-                                                            const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<CityscapesDataset> DATASET_API Cityscapes(
+  const std::string &dataset_dir, const std::string &usage, const std::string &quality_mode, const std::string &task,
+  bool decode, const Sampler *sampler, const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<CityscapesDataset>(StringToChar(dataset_dir), StringToChar(usage), StringToChar(quality_mode),
                                              StringToChar(task), decode, sampler, cache);
 }
@@ -1727,17 +1726,16 @@ inline std::shared_ptr<CityscapesDataset> MS_API Cityscapes(const std::string &d
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current CityscapesDataset.
-inline std::shared_ptr<CityscapesDataset> MS_API Cityscapes(const std::string &dataset_dir, const std::string &usage,
-                                                            const std::string &quality_mode, const std::string &task,
-                                                            bool decode, const std::reference_wrapper<Sampler> &sampler,
-                                                            const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<CityscapesDataset> DATASET_API Cityscapes(
+  const std::string &dataset_dir, const std::string &usage, const std::string &quality_mode, const std::string &task,
+  bool decode, const std::reference_wrapper<Sampler> &sampler, const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<CityscapesDataset>(StringToChar(dataset_dir), StringToChar(usage), StringToChar(quality_mode),
                                              StringToChar(task), decode, sampler, cache);
 }
 
 /// \class CLUEDataset
 /// \brief A source dataset for reading and parsing CLUE dataset.
-class MS_API CLUEDataset : public Dataset {
+class DATASET_API CLUEDataset : public Dataset {
  public:
   /// \brief Constructor of CLUEDataset.
   /// \param[in] dataset_files List of files to be read to search for a pattern of files. The list
@@ -1794,18 +1792,19 @@ class MS_API CLUEDataset : public Dataset {
 ///
 ///      auto text = row["sentence1"];
 /// \endcode
-inline std::shared_ptr<CLUEDataset> MS_API CLUE(const std::vector<std::string> &dataset_files,
-                                                const std::string &task = "AFQMC", const std::string &usage = "train",
-                                                int64_t num_samples = 0, ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                int32_t num_shards = 1, int32_t shard_id = 0,
-                                                const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<CLUEDataset> DATASET_API CLUE(const std::vector<std::string> &dataset_files,
+                                                     const std::string &task = "AFQMC",
+                                                     const std::string &usage = "train", int64_t num_samples = 0,
+                                                     ShuffleMode shuffle = ShuffleMode::kGlobal, int32_t num_shards = 1,
+                                                     int32_t shard_id = 0,
+                                                     const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<CLUEDataset>(VectorStringToChar(dataset_files), StringToChar(task), StringToChar(usage),
                                        num_samples, shuffle, num_shards, shard_id, cache);
 }
 
 /// \class CMUArcticDataset
 /// \brief A source dataset for reading and parsing CMUArctic dataset.
-class MS_API CMUArcticDataset : public Dataset {
+class DATASET_API CMUArcticDataset : public Dataset {
  public:
   /// \brief Constructor of CMUArcticDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -1863,7 +1862,7 @@ class MS_API CMUArcticDataset : public Dataset {
 ///         and "utterance_id" */
 ///      auto waveform = row["waveform"];
 /// \endcode
-inline std::shared_ptr<CMUArcticDataset> MS_API
+inline std::shared_ptr<CMUArcticDataset> DATASET_API
 CMUArctic(const std::string &dataset_dir, const std::string &name = "aew",
           const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
           const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -1878,9 +1877,9 @@ CMUArctic(const std::string &dataset_dir, const std::string &name = "aew",
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the CMUArcticDataset.
-inline std::shared_ptr<CMUArcticDataset> MS_API CMUArctic(const std::string &dataset_dir, const std::string &name,
-                                                          const Sampler *sampler,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<CMUArcticDataset> DATASET_API CMUArctic(const std::string &dataset_dir, const std::string &name,
+                                                               const Sampler *sampler,
+                                                               const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<CMUArcticDataset>(StringToChar(dataset_dir), StringToChar(name), sampler, cache);
 }
 
@@ -1892,15 +1891,15 @@ inline std::shared_ptr<CMUArcticDataset> MS_API CMUArctic(const std::string &dat
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the CMUArcticDataset.
-inline std::shared_ptr<CMUArcticDataset> MS_API CMUArctic(const std::string &dataset_dir, const std::string &name,
-                                                          const std::reference_wrapper<Sampler> sampler,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<CMUArcticDataset> DATASET_API CMUArctic(const std::string &dataset_dir, const std::string &name,
+                                                               const std::reference_wrapper<Sampler> sampler,
+                                                               const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<CMUArcticDataset>(StringToChar(dataset_dir), StringToChar(name), sampler, cache);
 }
 
 /// \class CocoDataset
 /// \brief A source dataset for reading and parsing Coco dataset.
-class MS_API CocoDataset : public Dataset {
+class DATASET_API CocoDataset : public Dataset {
  public:
   /// \brief Constructor of CocoDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -1978,7 +1977,7 @@ class MS_API CocoDataset : public Dataset {
 ///      /* Note: In COCO dataset, each dictionary has keys "image" and "annotation" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<CocoDataset> MS_API
+inline std::shared_ptr<CocoDataset> DATASET_API
 Coco(const std::string &dataset_dir, const std::string &annotation_file, const std::string &task = "Detection",
      const bool &decode = false, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
      const std::shared_ptr<DatasetCache> &cache = nullptr, const bool &extra_metadata = false) {
@@ -2005,10 +2004,11 @@ Coco(const std::string &dataset_dir, const std::string &annotation_file, const s
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \param[in] extra_metadata Flag to add extra meta-data to row. (default=false).
 /// \return Shared pointer to the CocoDataset.
-inline std::shared_ptr<CocoDataset> MS_API Coco(const std::string &dataset_dir, const std::string &annotation_file,
-                                                const std::string &task, const bool &decode, const Sampler *sampler,
-                                                const std::shared_ptr<DatasetCache> &cache = nullptr,
-                                                const bool &extra_metadata = false) {
+inline std::shared_ptr<CocoDataset> DATASET_API Coco(const std::string &dataset_dir, const std::string &annotation_file,
+                                                     const std::string &task, const bool &decode,
+                                                     const Sampler *sampler,
+                                                     const std::shared_ptr<DatasetCache> &cache = nullptr,
+                                                     const bool &extra_metadata = false) {
   return std::make_shared<CocoDataset>(StringToChar(dataset_dir), StringToChar(annotation_file), StringToChar(task),
                                        decode, sampler, cache, extra_metadata);
 }
@@ -2032,18 +2032,18 @@ inline std::shared_ptr<CocoDataset> MS_API Coco(const std::string &dataset_dir,
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \param[in] extra_metadata Flag to add extra meta-data to row. (default=false).
 /// \return Shared pointer to the CocoDataset.
-inline std::shared_ptr<CocoDataset> MS_API Coco(const std::string &dataset_dir, const std::string &annotation_file,
-                                                const std::string &task, const bool &decode,
-                                                const std::reference_wrapper<Sampler> &sampler,
-                                                const std::shared_ptr<DatasetCache> &cache = nullptr,
-                                                const bool &extra_metadata = false) {
+inline std::shared_ptr<CocoDataset> DATASET_API Coco(const std::string &dataset_dir, const std::string &annotation_file,
+                                                     const std::string &task, const bool &decode,
+                                                     const std::reference_wrapper<Sampler> &sampler,
+                                                     const std::shared_ptr<DatasetCache> &cache = nullptr,
+                                                     const bool &extra_metadata = false) {
   return std::make_shared<CocoDataset>(StringToChar(dataset_dir), StringToChar(annotation_file), StringToChar(task),
                                        decode, sampler, cache, extra_metadata);
 }
 
 /// \class CoNLL2000Dataset
 /// \brief A source dataset for reading and parsing CoNLL2000Dataset.
-class MS_API CoNLL2000Dataset : public Dataset {
+class DATASET_API CoNLL2000Dataset : public Dataset {
  public:
   /// \brief Constructor of CoNLL2000Dataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -2096,18 +2096,19 @@ class MS_API CoNLL2000Dataset : public Dataset {
 ///      /* Note: In CoNLL2000 dataset, each dictionary has keys "word", "pos_tag", "chunk_tag" */
 ///      auto word = row["word"];
 /// \endcode
-inline std::shared_ptr<CoNLL2000Dataset> MS_API CoNLL2000(const std::string &dataset_dir,
-                                                          const std::string &usage = "all", int64_t num_samples = 0,
-                                                          ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                          int32_t num_shards = 1, int32_t shard_id = 0,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<CoNLL2000Dataset> DATASET_API CoNLL2000(const std::string &dataset_dir,
+                                                               const std::string &usage = "all",
+                                                               int64_t num_samples = 0,
+                                                               ShuffleMode shuffle = ShuffleMode::kGlobal,
+                                                               int32_t num_shards = 1, int32_t shard_id = 0,
+                                                               const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<CoNLL2000Dataset>(StringToChar(dataset_dir), StringToChar(usage), num_samples, shuffle,
                                             num_shards, shard_id, cache);
 }
 
 /// \class CSVDataset
 /// \brief A source dataset that reads and parses comma-separated values (CSV) datasets.
-class MS_API CSVDataset : public Dataset {
+class DATASET_API CSVDataset : public Dataset {
  public:
   /// \brief Constructor of CSVDataset.
   /// \param[in] dataset_files List of files to be read to search for a pattern of files. The list
@@ -2173,12 +2174,13 @@ class MS_API CSVDataset : public Dataset {
 ///      /* Note: As we defined before, the dataset has column "col1", "col2", "col3" and "col4" */
 ///      auto col1 = row["col1"];
 /// \endcode
-inline std::shared_ptr<CSVDataset> MS_API CSV(const std::vector<std::string> &dataset_files, char field_delim = ',',
-                                              const std::vector<std::shared_ptr<CsvBase>> &column_defaults = {},
-                                              const std::vector<std::string> &column_names = {},
-                                              int64_t num_samples = 0, ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                              int32_t num_shards = 1, int32_t shard_id = 0,
-                                              const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<CSVDataset> DATASET_API CSV(const std::vector<std::string> &dataset_files,
+                                                   char field_delim = ',',
+                                                   const std::vector<std::shared_ptr<CsvBase>> &column_defaults = {},
+                                                   const std::vector<std::string> &column_names = {},
+                                                   int64_t num_samples = 0, ShuffleMode shuffle = ShuffleMode::kGlobal,
+                                                   int32_t num_shards = 1, int32_t shard_id = 0,
+                                                   const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<CSVDataset>(VectorStringToChar(dataset_files), field_delim, column_defaults,
                                       VectorStringToChar(column_names), num_samples, shuffle, num_shards, shard_id,
                                       cache);
@@ -2186,7 +2188,7 @@ inline std::shared_ptr<CSVDataset> MS_API CSV(const std::vector<std::string> &da
 
 /// \class DBpediaDataset
 /// \brief A source dataset for reading and parsing DBpedia dataset.
-class MS_API DBpediaDataset : public Dataset {
+class DATASET_API DBpediaDataset : public Dataset {
  public:
   /// \brief Constructor of DBpediaDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -2224,18 +2226,18 @@ class MS_API DBpediaDataset : public Dataset {
 ///     specified only when num_shards is also specified (Default = 0).
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the DBpediaDataset
-inline std::shared_ptr<DBpediaDataset> MS_API DBpedia(const std::string &dataset_dir, const std::string &usage = "all",
-                                                      int64_t num_samples = 0,
-                                                      ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                      int32_t num_shards = 1, int32_t shard_id = 0,
-                                                      const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<DBpediaDataset> DATASET_API DBpedia(const std::string &dataset_dir,
+                                                           const std::string &usage = "all", int64_t num_samples = 0,
+                                                           ShuffleMode shuffle = ShuffleMode::kGlobal,
+                                                           int32_t num_shards = 1, int32_t shard_id = 0,
+                                                           const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<DBpediaDataset>(StringToChar(dataset_dir), StringToChar(usage), num_samples, shuffle,
                                           num_shards, shard_id, cache);
 }
 
 /// \class DIV2KDataset
 /// \brief A source dataset for reading and parsing DIV2K dataset.
-class MS_API DIV2KDataset : public Dataset {
+class DATASET_API DIV2KDataset : public Dataset {
  public:
   /// \brief Constructor of DIV2KDataset.
   /// \param[in] dataset_dir The dataset dir to be read.
@@ -2306,7 +2308,7 @@ class MS_API DIV2KDataset : public Dataset {
 ///      /* Note: In DIV2K dataset, each dictionary has keys "hr_image" and "lr_image" */
 ///      auto hr_image = row["hr_image"];
 /// \endcode
-inline std::shared_ptr<DIV2KDataset> MS_API
+inline std::shared_ptr<DIV2KDataset> DATASET_API
 DIV2K(const std::string &dataset_dir, const std::string &usage, const std::string &downgrade, int32_t scale,
       bool decode = false, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
       const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -2325,10 +2327,10 @@ DIV2K(const std::string &dataset_dir, const std::string &usage, const std::strin
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current DIV2KDataset.
-inline std::shared_ptr<DIV2KDataset> MS_API DIV2K(const std::string &dataset_dir, const std::string &usage,
-                                                  const std::string &downgrade, int32_t scale, bool decode,
-                                                  const Sampler *sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<DIV2KDataset> DATASET_API DIV2K(const std::string &dataset_dir, const std::string &usage,
+                                                       const std::string &downgrade, int32_t scale, bool decode,
+                                                       const Sampler *sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<DIV2KDataset>(StringToChar(dataset_dir), StringToChar(usage), StringToChar(downgrade), scale,
                                         decode, sampler, cache);
 }
@@ -2344,17 +2346,17 @@ inline std::shared_ptr<DIV2KDataset> MS_API DIV2K(const std::string &dataset_dir
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current DIV2KDataset.
-inline std::shared_ptr<DIV2KDataset> MS_API DIV2K(const std::string &dataset_dir, const std::string &usage,
-                                                  const std::string &downgrade, int32_t scale, bool decode,
-                                                  const std::reference_wrapper<Sampler> &sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<DIV2KDataset> DATASET_API DIV2K(const std::string &dataset_dir, const std::string &usage,
+                                                       const std::string &downgrade, int32_t scale, bool decode,
+                                                       const std::reference_wrapper<Sampler> &sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<DIV2KDataset>(StringToChar(dataset_dir), StringToChar(usage), StringToChar(downgrade), scale,
                                         decode, sampler, cache);
 }
 
 /// \class EMnistDataset
 /// \brief A source dataset for reading and parsing EMnist dataset.
-class MS_API EMnistDataset : public Dataset {
+class DATASET_API EMnistDataset : public Dataset {
  public:
   /// \brief Constructor of EMnistDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -2414,7 +2416,7 @@ class MS_API EMnistDataset : public Dataset {
 ///      /* Note: In EMNIST dataset dataset, each dictionary has keys "image" and "label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<EMnistDataset> MS_API
+inline std::shared_ptr<EMnistDataset> DATASET_API
 EMnist(const std::string &dataset_dir, const std::string &name, const std::string &usage = "all",
        const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
        const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -2430,9 +2432,9 @@ EMnist(const std::string &dataset_dir, const std::string &name, const std::strin
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current EMnistDataset.
-inline std::shared_ptr<EMnistDataset> MS_API EMnist(const std::string &dataset_dir, const std::string &usage,
-                                                    const std::string &name, const Sampler *sampler,
-                                                    const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<EMnistDataset> DATASET_API EMnist(const std::string &dataset_dir, const std::string &usage,
+                                                         const std::string &name, const Sampler *sampler,
+                                                         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<EMnistDataset>(StringToChar(dataset_dir), StringToChar(name), StringToChar(usage), sampler,
                                          cache);
 }
@@ -2445,17 +2447,17 @@ inline std::shared_ptr<EMnistDataset> MS_API EMnist(const std::string &dataset_d
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current EMnistDataset.
-inline std::shared_ptr<EMnistDataset> MS_API EMnist(const std::string &dataset_dir, const std::string &name,
-                                                    const std::string &usage,
-                                                    const std::reference_wrapper<Sampler> &sampler,
-                                                    const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<EMnistDataset> DATASET_API EMnist(const std::string &dataset_dir, const std::string &name,
+                                                         const std::string &usage,
+                                                         const std::reference_wrapper<Sampler> &sampler,
+                                                         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<EMnistDataset>(StringToChar(dataset_dir), StringToChar(name), StringToChar(usage), sampler,
                                          cache);
 }
 
 /// \class EnWik9Dataset
 /// \brief A source dataset for reading and parsing EnWik9 dataset.
-class MS_API EnWik9Dataset : public Dataset {
+class DATASET_API EnWik9Dataset : public Dataset {
  public:
   /// \brief Function to create a EnWik9Dataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -2491,16 +2493,16 @@ class MS_API EnWik9Dataset : public Dataset {
 ///     specified only when num_shards is also specified (Default = 0).
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the EnWik9Dataset.
-inline std::shared_ptr<EnWik9Dataset> MS_API EnWik9(const std::string &dataset_dir, int64_t num_samples = 0,
-                                                    ShuffleMode shuffle = ShuffleMode::kGlobal, int32_t num_shards = 1,
-                                                    int32_t shard_id = 0,
-                                                    const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<EnWik9Dataset> DATASET_API EnWik9(const std::string &dataset_dir, int64_t num_samples = 0,
+                                                         ShuffleMode shuffle = ShuffleMode::kGlobal,
+                                                         int32_t num_shards = 1, int32_t shard_id = 0,
+                                                         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<EnWik9Dataset>(StringToChar(dataset_dir), num_samples, shuffle, num_shards, shard_id, cache);
 }
 
 /// \class FakeImageDataset
 /// \brief A source dataset for generating fake images.
-class MS_API FakeImageDataset : public Dataset {
+class DATASET_API FakeImageDataset : public Dataset {
  public:
   /// \brief Constructor of FakeImageDataset.
   /// \param[in] num_images The number of images to generate, which must be positive.
@@ -2548,7 +2550,7 @@ class MS_API FakeImageDataset : public Dataset {
 ///    given, a `RandomSampler` will be used to randomly iterate the entire dataset (default = RandomSampler()).
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current FakeDataset.
-inline std::shared_ptr<FakeImageDataset> MS_API
+inline std::shared_ptr<FakeImageDataset> DATASET_API
 FakeImage(int32_t num_images = 1000, const std::vector<int32_t> &image_size = {224, 224, 3}, int32_t num_classes = 10,
           int32_t base_seed = 0, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
           const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -2564,10 +2566,11 @@ FakeImage(int32_t num_images = 1000, const std::vector<int32_t> &image_size = {2
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current FakeImageDataset.
-inline std::shared_ptr<FakeImageDataset> MS_API FakeImage(int32_t num_images, const std::vector<int32_t> &image_size,
-                                                          int32_t num_classes, int32_t base_seed,
-                                                          const Sampler *sampler,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<FakeImageDataset> DATASET_API FakeImage(int32_t num_images,
+                                                               const std::vector<int32_t> &image_size,
+                                                               int32_t num_classes, int32_t base_seed,
+                                                               const Sampler *sampler,
+                                                               const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<FakeImageDataset>(num_images, image_size, num_classes, base_seed, sampler, cache);
 }
 
@@ -2580,16 +2583,17 @@ inline std::shared_ptr<FakeImageDataset> MS_API FakeImage(int32_t num_images, co
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current FakeImageDataset.
-inline std::shared_ptr<FakeImageDataset> MS_API FakeImage(int32_t num_images, const std::vector<int32_t> &image_size,
-                                                          int32_t num_classes, int32_t base_seed,
-                                                          const std::reference_wrapper<Sampler> &sampler,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<FakeImageDataset> DATASET_API FakeImage(int32_t num_images,
+                                                               const std::vector<int32_t> &image_size,
+                                                               int32_t num_classes, int32_t base_seed,
+                                                               const std::reference_wrapper<Sampler> &sampler,
+                                                               const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<FakeImageDataset>(num_images, image_size, num_classes, base_seed, sampler, cache);
 }
 
 /// \class FashionMnistDataset
 /// \brief A source dataset that reads and parses FASHION-MNIST dataset.
-class MS_API FashionMnistDataset : public Dataset {
+class DATASET_API FashionMnistDataset : public Dataset {
  public:
   /// \brief Constructor of FashionMnistDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -2628,7 +2632,7 @@ class MS_API FashionMnistDataset : public Dataset {
 ///     given, a `RandomSampler` will be used to randomly iterate the entire dataset (default = RandomSampler()).
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the FashionMnistDataset.
-inline std::shared_ptr<FashionMnistDataset> MS_API
+inline std::shared_ptr<FashionMnistDataset> DATASET_API
 FashionMnist(const std::string &dataset_dir, const std::string &usage = "all",
              const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
              const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -2642,9 +2646,9 @@ FashionMnist(const std::string &dataset_dir, const std::string &usage = "all",
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the FashionMnistDataset.
-inline std::shared_ptr<FashionMnistDataset> MS_API FashionMnist(const std::string &dataset_dir,
-                                                                const std::string &usage, const Sampler *sampler,
-                                                                const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<FashionMnistDataset> DATASET_API
+FashionMnist(const std::string &dataset_dir, const std::string &usage, const Sampler *sampler,
+             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<FashionMnistDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
@@ -2655,16 +2659,15 @@ inline std::shared_ptr<FashionMnistDataset> MS_API FashionMnist(const std::strin
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the FashionMnistDataset.
-inline std::shared_ptr<FashionMnistDataset> MS_API FashionMnist(const std::string &dataset_dir,
-                                                                const std::string &usage,
-                                                                const std::reference_wrapper<Sampler> &sampler,
-                                                                const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<FashionMnistDataset> DATASET_API
+FashionMnist(const std::string &dataset_dir, const std::string &usage, const std::reference_wrapper<Sampler> &sampler,
+             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<FashionMnistDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
 /// \class FlickrDataset
 /// \brief A source dataset for reading and parsing Flickr dataset.
-class MS_API FlickrDataset : public Dataset {
+class DATASET_API FlickrDataset : public Dataset {
  public:
   /// \brief Constructor of FlickrDataset.
   /// \param[in] dataset_dir The dataset dir to be read
@@ -2722,7 +2725,7 @@ class MS_API FlickrDataset : public Dataset {
 ///      /* Note: In FLICKR dataset, each dictionary has keys "image" and "annotation" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<FlickrDataset> MS_API
+inline std::shared_ptr<FlickrDataset> DATASET_API
 Flickr(const std::string &dataset_dir, const std::string &annotation_file, bool decode = false,
        const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
        const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -2738,9 +2741,10 @@ Flickr(const std::string &dataset_dir, const std::string &annotation_file, bool
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current FlickrDataset
-inline std::shared_ptr<FlickrDataset> MS_API Flickr(const std::string &dataset_dir, const std::string &annotation_file,
-                                                    bool decode, const Sampler *sampler,
-                                                    const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<FlickrDataset> DATASET_API Flickr(const std::string &dataset_dir,
+                                                         const std::string &annotation_file, bool decode,
+                                                         const Sampler *sampler,
+                                                         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<FlickrDataset>(StringToChar(dataset_dir), StringToChar(annotation_file), decode, sampler,
                                          cache);
 }
@@ -2753,16 +2757,17 @@ inline std::shared_ptr<FlickrDataset> MS_API Flickr(const std::string &dataset_d
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current FlickrDataset
-inline std::shared_ptr<FlickrDataset> MS_API Flickr(const std::string &dataset_dir, const std::string &annotation_file,
-                                                    bool decode, const std::reference_wrapper<Sampler> &sampler,
-                                                    const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<FlickrDataset> DATASET_API Flickr(const std::string &dataset_dir,
+                                                         const std::string &annotation_file, bool decode,
+                                                         const std::reference_wrapper<Sampler> &sampler,
+                                                         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<FlickrDataset>(StringToChar(dataset_dir), StringToChar(annotation_file), decode, sampler,
                                          cache);
 }
 
 /// \class GTZANDataset
 /// \brief A source dataset for reading and parsing GTZAN dataset.
-class MS_API GTZANDataset : public Dataset {
+class DATASET_API GTZANDataset : public Dataset {
  public:
   /// \brief Constructor of GTZANDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -2814,7 +2819,7 @@ class MS_API GTZANDataset : public Dataset {
 ///      /* Note: In GTZAN dataset, each data dictionary has keys "waveform", "sample_rate" and "label" */
 ///      auto waveform = row["waveform"];
 /// \endcode
-inline std::shared_ptr<GTZANDataset> MS_API
+inline std::shared_ptr<GTZANDataset> DATASET_API
 GTZAN(const std::string &dataset_dir, const std::string &usage = "all",
       const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
       const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -2828,9 +2833,9 @@ GTZAN(const std::string &dataset_dir, const std::string &usage = "all",
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the GTZANDataset.
-inline std::shared_ptr<GTZANDataset> MS_API GTZAN(const std::string &dataset_dir, const std::string &usage,
-                                                  const Sampler *sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<GTZANDataset> DATASET_API GTZAN(const std::string &dataset_dir, const std::string &usage,
+                                                       const Sampler *sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<GTZANDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
@@ -2841,15 +2846,15 @@ inline std::shared_ptr<GTZANDataset> MS_API GTZAN(const std::string &dataset_dir
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the GTZANDataset.
-inline std::shared_ptr<GTZANDataset> MS_API GTZAN(const std::string &dataset_dir, const std::string &usage,
-                                                  const std::reference_wrapper<Sampler> sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<GTZANDataset> DATASET_API GTZAN(const std::string &dataset_dir, const std::string &usage,
+                                                       const std::reference_wrapper<Sampler> sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<GTZANDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
 /// \class ImageFolderDataset
 /// \brief A source dataset that reads images from a tree of directories.
-class MS_API ImageFolderDataset : public Dataset {
+class DATASET_API ImageFolderDataset : public Dataset {
  public:
   /// \brief Constructor of ImageFolderDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -2918,7 +2923,7 @@ class MS_API ImageFolderDataset : public Dataset {
 ///      /* Note: In ImageFolder dataset, each data dictionary has keys "image" and "label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<ImageFolderDataset> MS_API
+inline std::shared_ptr<ImageFolderDataset> DATASET_API
 ImageFolder(const std::string &dataset_dir, bool decode = false,
             const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
             const std::set<std::string> &extensions = {}, const std::map<std::string, int32_t> &class_indexing = {},
@@ -2938,11 +2943,9 @@ ImageFolder(const std::string &dataset_dir, bool decode = false,
 /// \param[in] class_indexing a class name to label map.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the ImageFolderDataset.
-inline std::shared_ptr<ImageFolderDataset> MS_API ImageFolder(const std::string &dataset_dir, bool decode,
-                                                              const Sampler *sampler,
-                                                              const std::set<std::string> &extensions = {},
-                                                              const std::map<std::string, int32_t> &class_indexing = {},
-                                                              const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<ImageFolderDataset> DATASET_API ImageFolder(
+  const std::string &dataset_dir, bool decode, const Sampler *sampler, const std::set<std::string> &extensions = {},
+  const std::map<std::string, int32_t> &class_indexing = {}, const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<ImageFolderDataset>(StringToChar(dataset_dir), decode, sampler, SetStringToChar(extensions),
                                               MapStringToChar(class_indexing), cache);
 }
@@ -2958,18 +2961,17 @@ inline std::shared_ptr<ImageFolderDataset> MS_API ImageFolder(const std::string
 /// \param[in] class_indexing a class name to label map.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the ImageFolderDataset.
-inline std::shared_ptr<ImageFolderDataset> MS_API ImageFolder(const std::string &dataset_dir, bool decode,
-                                                              const std::reference_wrapper<Sampler> &sampler,
-                                                              const std::set<std::string> &extensions = {},
-                                                              const std::map<std::string, int32_t> &class_indexing = {},
-                                                              const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<ImageFolderDataset> DATASET_API
+ImageFolder(const std::string &dataset_dir, bool decode, const std::reference_wrapper<Sampler> &sampler,
+            const std::set<std::string> &extensions = {}, const std::map<std::string, int32_t> &class_indexing = {},
+            const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<ImageFolderDataset>(StringToChar(dataset_dir), decode, sampler, SetStringToChar(extensions),
                                               MapStringToChar(class_indexing), cache);
 }
 
 /// \class IMDBDataset
 /// \brief A source dataset for reading and parsing IMDB dataset.
-class MS_API IMDBDataset : public Dataset {
+class DATASET_API IMDBDataset : public Dataset {
  public:
   /// \brief Constructor of IMDBDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -3022,7 +3024,7 @@ class MS_API IMDBDataset : public Dataset {
 ///      /* Note: In IMDB dataset, each data dictionary has keys "text" and "label" */
 ///      auto text = row["text"];
 /// \endcode
-inline std::shared_ptr<IMDBDataset> MS_API
+inline std::shared_ptr<IMDBDataset> DATASET_API
 IMDB(const std::string &dataset_dir, const std::string &usage = "all",
      const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
      const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -3036,9 +3038,9 @@ IMDB(const std::string &dataset_dir, const std::string &usage = "all",
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the IMDBDataset.
-inline std::shared_ptr<IMDBDataset> MS_API IMDB(const std::string &dataset_dir, const std::string &usage,
-                                                const Sampler *sampler,
-                                                const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<IMDBDataset> DATASET_API IMDB(const std::string &dataset_dir, const std::string &usage,
+                                                     const Sampler *sampler,
+                                                     const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<IMDBDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
@@ -3049,15 +3051,15 @@ inline std::shared_ptr<IMDBDataset> MS_API IMDB(const std::string &dataset_dir,
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the IMDBDataset.
-inline std::shared_ptr<IMDBDataset> MS_API IMDB(const std::string &dataset_dir, const std::string &usage,
-                                                const std::reference_wrapper<Sampler> &sampler,
-                                                const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<IMDBDataset> DATASET_API IMDB(const std::string &dataset_dir, const std::string &usage,
+                                                     const std::reference_wrapper<Sampler> &sampler,
+                                                     const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<IMDBDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
 /// \class IWSLT2016Dataset.
 /// \brief A source dataset for reading and parsing IWSLT2016 dataset.
-class MS_API IWSLT2016Dataset : public Dataset {
+class DATASET_API IWSLT2016Dataset : public Dataset {
  public:
   /// \brief Constructor of IWSLT2016Dataset.
   /// \note The generated dataset has two columns ["text", "translation"].
@@ -3104,7 +3106,7 @@ class MS_API IWSLT2016Dataset : public Dataset {
 ///     specified only when num_shards is also specified (Default = 0).
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the IWSLT2016Dataset.
-inline std::shared_ptr<IWSLT2016Dataset> MS_API
+inline std::shared_ptr<IWSLT2016Dataset> DATASET_API
 IWSLT2016(const std::string &dataset_dir, const std::string &usage = "all",
           const std::vector<std::string> &language_pair = {"de", "en"}, const std::string &valid_set = "tst2013",
           const std::string &test_set = "tst2014", int64_t num_samples = 0, ShuffleMode shuffle = ShuffleMode::kGlobal,
@@ -3116,7 +3118,7 @@ IWSLT2016(const std::string &dataset_dir, const std::string &usage = "all",
 
 /// \class IWSLT2017Dataset.
 /// \brief A source dataset for reading and parsing IWSLT2017 dataset.
-class MS_API IWSLT2017Dataset : public Dataset {
+class DATASET_API IWSLT2017Dataset : public Dataset {
  public:
   /// \brief Constructor of IWSLT2017Dataset.
   /// \note The generated dataset has two columns ["text", "translation"].
@@ -3159,13 +3161,11 @@ class MS_API IWSLT2017Dataset : public Dataset {
 ///     specified only when num_shards is also specified (Default = 0).
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the IWSLT2017Dataset.
-inline std::shared_ptr<IWSLT2017Dataset> MS_API IWSLT2017(const std::string &dataset_dir,
-                                                          const std::string &usage = "all",
-                                                          const std::vector<std::string> &language_pair = {"de", "en"},
-                                                          int64_t num_samples = 0,
-                                                          ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                          int32_t num_shards = 1, int32_t shard_id = 0,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<IWSLT2017Dataset> DATASET_API
+IWSLT2017(const std::string &dataset_dir, const std::string &usage = "all",
+          const std::vector<std::string> &language_pair = {"de", "en"}, int64_t num_samples = 0,
+          ShuffleMode shuffle = ShuffleMode::kGlobal, int32_t num_shards = 1, int32_t shard_id = 0,
+          const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<IWSLT2017Dataset>(StringToChar(dataset_dir), StringToChar(usage),
                                             VectorStringToChar(language_pair), num_samples, shuffle, num_shards,
                                             shard_id, cache);
@@ -3173,7 +3173,7 @@ inline std::shared_ptr<IWSLT2017Dataset> MS_API IWSLT2017(const std::string &dat
 
 /// \class KITTIDataset
 /// \brief A source dataset that reads KITTI images and labels.
-class MS_API KITTIDataset : public Dataset {
+class DATASET_API KITTIDataset : public Dataset {
  public:
   /// \brief Constructor of KITTIDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -3231,7 +3231,7 @@ class MS_API KITTIDataset : public Dataset {
 ///      /* Note: In KITTI dataset, each dictionary has key "image" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<KITTIDataset> MS_API
+inline std::shared_ptr<KITTIDataset> DATASET_API
 KITTI(const std::string &dataset_dir, const std::string &usage = "train", bool decode = false,
       const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
       const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -3248,9 +3248,9 @@ KITTI(const std::string &dataset_dir, const std::string &usage = "train", bool d
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current Dataset.
-inline std::shared_ptr<KITTIDataset> MS_API KITTI(const std::string &dataset_dir, const std::string &usage, bool decode,
-                                                  const Sampler *sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<KITTIDataset> DATASET_API KITTI(const std::string &dataset_dir, const std::string &usage,
+                                                       bool decode, const Sampler *sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<KITTIDataset>(StringToChar(dataset_dir), StringToChar(usage), decode, sampler, cache);
 }
 
@@ -3264,15 +3264,15 @@ inline std::shared_ptr<KITTIDataset> MS_API KITTI(const std::string &dataset_dir
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current Dataset.
-inline std::shared_ptr<KITTIDataset> MS_API KITTI(const std::string &dataset_dir, const std::string &usage, bool decode,
-                                                  const std::reference_wrapper<Sampler> &sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<KITTIDataset> DATASET_API KITTI(const std::string &dataset_dir, const std::string &usage,
+                                                       bool decode, const std::reference_wrapper<Sampler> &sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<KITTIDataset>(StringToChar(dataset_dir), StringToChar(usage), decode, sampler, cache);
 }
 
 /// \class KMnistDataset.
 /// \brief A source dataset for reading and parsing KMnist dataset.
-class MS_API KMnistDataset : public Dataset {
+class DATASET_API KMnistDataset : public Dataset {
  public:
   /// \brief Function to create a KMnistDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -3314,7 +3314,7 @@ class MS_API KMnistDataset : public Dataset {
 ///     given, a `RandomSampler` will be used to randomly iterate the entire dataset (default = RandomSampler()).
 /// \param[in] cache Tensor cache to use. (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current KMnistDataset.
-inline std::shared_ptr<KMnistDataset> MS_API
+inline std::shared_ptr<KMnistDataset> DATASET_API
 KMnist(const std::string &dataset_dir, const std::string &usage = "all",
        const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
        const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -3328,9 +3328,9 @@ KMnist(const std::string &dataset_dir, const std::string &usage = "all",
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current KMnistDataset.
-inline std::shared_ptr<KMnistDataset> MS_API KMnist(const std::string &dataset_dir, const std::string &usage,
-                                                    const Sampler *sampler,
-                                                    const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<KMnistDataset> DATASET_API KMnist(const std::string &dataset_dir, const std::string &usage,
+                                                         const Sampler *sampler,
+                                                         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<KMnistDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
@@ -3341,15 +3341,15 @@ inline std::shared_ptr<KMnistDataset> MS_API KMnist(const std::string &dataset_d
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current KMnistDataset.
-inline std::shared_ptr<KMnistDataset> MS_API KMnist(const std::string &dataset_dir, const std::string &usage,
-                                                    const std::reference_wrapper<Sampler> &sampler,
-                                                    const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<KMnistDataset> DATASET_API KMnist(const std::string &dataset_dir, const std::string &usage,
+                                                         const std::reference_wrapper<Sampler> &sampler,
+                                                         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<KMnistDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
 /// \class LFWDataset
 /// \brief A source dataset for reading and parsing LFW dataset.
-class MS_API LFWDataset : public Dataset {
+class DATASET_API LFWDataset : public Dataset {
  public:
   /// \brief Constructor of LFWDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -3419,7 +3419,7 @@ class MS_API LFWDataset : public Dataset {
 ///      /* Note: In LFW dataset, each data dictionary owns keys "image" and "label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<LFWDataset> MS_API
+inline std::shared_ptr<LFWDataset> DATASET_API
 LFW(const std::string &dataset_dir, const std::string &task = "people", const std::string &usage = "all",
     const std::string &image_set = "funneled", bool decode = false,
     const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
@@ -3439,10 +3439,10 @@ LFW(const std::string &dataset_dir, const std::string &task = "people", const st
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the LFWDataset.
-inline std::shared_ptr<LFWDataset> MS_API LFW(const std::string &dataset_dir, const std::string &task,
-                                              const std::string &usage, const std::string &image_set, bool decode,
-                                              const Sampler *sampler,
-                                              const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<LFWDataset> DATASET_API LFW(const std::string &dataset_dir, const std::string &task,
+                                                   const std::string &usage, const std::string &image_set, bool decode,
+                                                   const Sampler *sampler,
+                                                   const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<LFWDataset>(StringToChar(dataset_dir), StringToChar(task), StringToChar(usage),
                                       StringToChar(image_set), decode, sampler, cache);
 }
@@ -3458,17 +3458,17 @@ inline std::shared_ptr<LFWDataset> MS_API LFW(const std::string &dataset_dir, co
 /// \param[in] sampler Shared pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the LFWDataset.
-inline std::shared_ptr<LFWDataset> MS_API LFW(const std::string &dataset_dir, const std::string &task,
-                                              const std::string &usage, const std::string &image_set, bool decode,
-                                              const std::reference_wrapper<Sampler> &sampler,
-                                              const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<LFWDataset> DATASET_API LFW(const std::string &dataset_dir, const std::string &task,
+                                                   const std::string &usage, const std::string &image_set, bool decode,
+                                                   const std::reference_wrapper<Sampler> &sampler,
+                                                   const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<LFWDataset>(StringToChar(dataset_dir), StringToChar(task), StringToChar(usage),
                                       StringToChar(image_set), decode, sampler, cache);
 }
 
 /// \class LibriTTSDataset
 /// \brief A source dataset for reading and parsing LibriTTSDataset dataset.
-class MS_API LibriTTSDataset : public Dataset {
+class DATASET_API LibriTTSDataset : public Dataset {
  public:
   /// \brief Constructor of LibriTTSDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -3526,7 +3526,7 @@ class MS_API LibriTTSDataset : public Dataset {
 ///         "original_text", "normalized_text", "speaker_id", "chapter_id", "utterance_id"].*/
 ///      auto waveform = row["waveform"];
 /// \endcode
-inline std::shared_ptr<LibriTTSDataset> MS_API
+inline std::shared_ptr<LibriTTSDataset> DATASET_API
 LibriTTS(const std::string &dataset_dir, const std::string &usage = "all",
          const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
          const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -3542,9 +3542,9 @@ LibriTTS(const std::string &dataset_dir, const std::string &usage = "all",
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the LibriTTSDataset.
-inline std::shared_ptr<LibriTTSDataset> MS_API LibriTTS(const std::string &dataset_dir, const std::string &usage,
-                                                        const Sampler *sampler,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<LibriTTSDataset> DATASET_API LibriTTS(const std::string &dataset_dir, const std::string &usage,
+                                                             const Sampler *sampler,
+                                                             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<LibriTTSDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
@@ -3557,15 +3557,15 @@ inline std::shared_ptr<LibriTTSDataset> MS_API LibriTTS(const std::string &datas
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the LibriTTSDataset.
-inline std::shared_ptr<LibriTTSDataset> MS_API LibriTTS(const std::string &dataset_dir, const std::string &usage,
-                                                        const std::reference_wrapper<Sampler> &sampler,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<LibriTTSDataset> DATASET_API LibriTTS(const std::string &dataset_dir, const std::string &usage,
+                                                             const std::reference_wrapper<Sampler> &sampler,
+                                                             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<LibriTTSDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
 /// \class LJSpeechDataset
 /// \brief A source dataset for reading and parsing LJSpeech dataset.
-class MS_API LJSpeechDataset : public Dataset {
+class DATASET_API LJSpeechDataset : public Dataset {
  public:
   /// \brief Constructor of LJSpeechDataset.
   /// \param[in] dataset_file The dataset file to be read.
@@ -3601,7 +3601,7 @@ class MS_API LJSpeechDataset : public Dataset {
 ///     given, a `RandomSampler` will be used to randomly iterate the entire dataset (default = RandomSampler()).
 /// \param[in] cache Tensor cache to use. (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current Dataset.
-inline std::shared_ptr<LJSpeechDataset> MS_API
+inline std::shared_ptr<LJSpeechDataset> DATASET_API
 LJSpeech(const std::string &dataset_dir, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
          const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<LJSpeechDataset>(StringToChar(dataset_dir), sampler, cache);
@@ -3614,8 +3614,8 @@ LJSpeech(const std::string &dataset_dir, const std::shared_ptr<Sampler> &sampler
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current Dataset.
-inline std::shared_ptr<LJSpeechDataset> MS_API LJSpeech(const std::string &dataset_dir, Sampler *sampler,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<LJSpeechDataset> DATASET_API LJSpeech(const std::string &dataset_dir, Sampler *sampler,
+                                                             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<LJSpeechDataset>(StringToChar(dataset_dir), sampler, cache);
 }
 
@@ -3626,15 +3626,15 @@ inline std::shared_ptr<LJSpeechDataset> MS_API LJSpeech(const std::string &datas
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current Dataset.
-inline std::shared_ptr<LJSpeechDataset> MS_API LJSpeech(const std::string &dataset_dir,
-                                                        const std::reference_wrapper<Sampler> &sampler,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<LJSpeechDataset> DATASET_API LJSpeech(const std::string &dataset_dir,
+                                                             const std::reference_wrapper<Sampler> &sampler,
+                                                             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<LJSpeechDataset>(StringToChar(dataset_dir), sampler, cache);
 }
 
 /// \class LSUNDataset
 /// \brief A source dataset for reading LSUN datast.
-class MS_API LSUNDataset : public Dataset {
+class DATASET_API LSUNDataset : public Dataset {
  public:
   /// \brief Constructor of LSUNDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -3697,7 +3697,7 @@ class MS_API LSUNDataset : public Dataset {
 ///      /* Note: In LSUNDataset, each data dictionary has keys "image" and "label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<LSUNDataset> MS_API
+inline std::shared_ptr<LSUNDataset> DATASET_API
 LSUN(const std::string &dataset_dir, const std::string &usage = "all", const std::vector<std::string> &classes = {},
      bool decode = false, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
      const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -3714,10 +3714,10 @@ LSUN(const std::string &dataset_dir, const std::string &usage = "all", const std
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (Default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current LSUNDataset.
-inline std::shared_ptr<LSUNDataset> MS_API LSUN(const std::string &dataset_dir, const std::string &usage,
-                                                const std::vector<std::string> &classes, bool decode,
-                                                const Sampler *sampler,
-                                                const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<LSUNDataset> DATASET_API LSUN(const std::string &dataset_dir, const std::string &usage,
+                                                     const std::vector<std::string> &classes, bool decode,
+                                                     const Sampler *sampler,
+                                                     const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<LSUNDataset>(StringToChar(dataset_dir), StringToChar(usage), VectorStringToChar(classes),
                                        decode, sampler, cache);
 }
@@ -3731,17 +3731,17 @@ inline std::shared_ptr<LSUNDataset> MS_API LSUN(const std::string &dataset_dir,
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (Default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current LSUNDataset.
-inline std::shared_ptr<LSUNDataset> MS_API LSUN(const std::string &dataset_dir, const std::string &usage,
-                                                const std::vector<std::string> &classes, bool decode,
-                                                const std::reference_wrapper<Sampler> sampler,
-                                                const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<LSUNDataset> DATASET_API LSUN(const std::string &dataset_dir, const std::string &usage,
+                                                     const std::vector<std::string> &classes, bool decode,
+                                                     const std::reference_wrapper<Sampler> sampler,
+                                                     const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<LSUNDataset>(StringToChar(dataset_dir), StringToChar(usage), VectorStringToChar(classes),
                                        decode, sampler, cache);
 }
 
 /// \class ManifestDataset
 /// \brief A source dataset for reading and parsing Manifest dataset.
-class MS_API ManifestDataset : public Dataset {
+class DATASET_API ManifestDataset : public Dataset {
  public:
   /// \brief Constructor of ManifestDataset.
   /// \param[in] dataset_file The dataset file to be read.
@@ -3810,7 +3810,7 @@ class MS_API ManifestDataset : public Dataset {
 ///      /* Note: In Manifest dataset, each data dictionary has keys "image" and "label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<ManifestDataset> MS_API
+inline std::shared_ptr<ManifestDataset> DATASET_API
 Manifest(const std::string &dataset_file, const std::string &usage = "train",
          const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
          const std::map<std::string, int32_t> &class_indexing = {}, bool decode = false,
@@ -3829,11 +3829,11 @@ Manifest(const std::string &dataset_file, const std::string &usage = "train",
 /// \param[in] decode Decode the images after reading (default=false).
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the ManifestDataset.
-inline std::shared_ptr<ManifestDataset> MS_API Manifest(const std::string &dataset_file, const std::string &usage,
-                                                        const Sampler *sampler,
-                                                        const std::map<std::string, int32_t> &class_indexing = {},
-                                                        bool decode = false,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<ManifestDataset> DATASET_API Manifest(const std::string &dataset_file, const std::string &usage,
+                                                             const Sampler *sampler,
+                                                             const std::map<std::string, int32_t> &class_indexing = {},
+                                                             bool decode = false,
+                                                             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<ManifestDataset>(StringToChar(dataset_file), StringToChar(usage), sampler,
                                            MapStringToChar(class_indexing), decode, cache);
 }
@@ -3848,18 +3848,18 @@ inline std::shared_ptr<ManifestDataset> MS_API Manifest(const std::string &datas
 /// \param[in] decode Decode the images after reading (default=false).
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the ManifestDataset.
-inline std::shared_ptr<ManifestDataset> MS_API Manifest(const std::string &dataset_file, const std::string &usage,
-                                                        const std::reference_wrapper<Sampler> &sampler,
-                                                        const std::map<std::string, int32_t> &class_indexing = {},
-                                                        bool decode = false,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<ManifestDataset> DATASET_API Manifest(const std::string &dataset_file, const std::string &usage,
+                                                             const std::reference_wrapper<Sampler> &sampler,
+                                                             const std::map<std::string, int32_t> &class_indexing = {},
+                                                             bool decode = false,
+                                                             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<ManifestDataset>(StringToChar(dataset_file), StringToChar(usage), sampler,
                                            MapStringToChar(class_indexing), decode, cache);
 }
 
 /// \class MindDataDataset
 /// \brief A source dataset for reading and parsing MindRecord dataset.
-class MS_API MindDataDataset : public Dataset {
+class DATASET_API MindDataDataset : public Dataset {
  public:
   /// \brief Constructor of MindDataDataset.
   /// \param[in] dataset_file File name of one component of a mindrecord source. Other files with identical source
@@ -4018,7 +4018,7 @@ class MS_API MindDataDataset : public Dataset {
 ///      /* Note: As we defined before, each data dictionary owns keys "data", "file_name" and "label" */
 ///      auto data = row["data"];
 /// \endcode
-inline std::shared_ptr<MindDataDataset> MS_API
+inline std::shared_ptr<MindDataDataset> DATASET_API
 MindData(const std::string &dataset_file, const std::vector<std::string> &columns_list = {},
          const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
          nlohmann::json *padded_sample = nullptr, int64_t num_padded = 0,
@@ -4043,12 +4043,10 @@ MindData(const std::string &dataset_file, const std::vector<std::string> &column
 ///    ShuffleMode::kInfile - Shuffle samples in file.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the MindDataDataset.
-inline std::shared_ptr<MindDataDataset> MS_API MindData(const std::string &dataset_file,
-                                                        const std::vector<std::string> &columns_list,
-                                                        const Sampler *sampler, nlohmann::json *padded_sample = nullptr,
-                                                        int64_t num_padded = 0,
-                                                        ShuffleMode shuffle_mode = ShuffleMode::kGlobal,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<MindDataDataset> DATASET_API
+MindData(const std::string &dataset_file, const std::vector<std::string> &columns_list, const Sampler *sampler,
+         nlohmann::json *padded_sample = nullptr, int64_t num_padded = 0,
+         ShuffleMode shuffle_mode = ShuffleMode::kGlobal, const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<MindDataDataset>(StringToChar(dataset_file), VectorStringToChar(columns_list), sampler,
                                            padded_sample, num_padded, shuffle_mode, cache);
 }
@@ -4068,12 +4066,10 @@ inline std::shared_ptr<MindDataDataset> MS_API MindData(const std::string &datas
 ///    ShuffleMode::kInfile - Shuffle samples in file.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the MindDataDataset.
-inline std::shared_ptr<MindDataDataset> MS_API MindData(const std::string &dataset_file,
-                                                        const std::vector<std::string> &columns_list,
-                                                        const std::reference_wrapper<Sampler> &sampler,
-                                                        nlohmann::json *padded_sample = nullptr, int64_t num_padded = 0,
-                                                        ShuffleMode shuffle_mode = ShuffleMode::kGlobal,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<MindDataDataset> DATASET_API MindData(
+  const std::string &dataset_file, const std::vector<std::string> &columns_list,
+  const std::reference_wrapper<Sampler> &sampler, nlohmann::json *padded_sample = nullptr, int64_t num_padded = 0,
+  ShuffleMode shuffle_mode = ShuffleMode::kGlobal, const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<MindDataDataset>(StringToChar(dataset_file), VectorStringToChar(columns_list), sampler,
                                            padded_sample, num_padded, shuffle_mode, cache);
 }
@@ -4111,7 +4107,7 @@ inline std::shared_ptr<MindDataDataset> MS_API MindData(const std::string &datas
 ///      /* Note: As we defined before, each data dictionary owns keys "data", "file_name" and "label" */
 ///      auto data = row["data"];
 /// \endcode
-inline std::shared_ptr<MindDataDataset> MS_API
+inline std::shared_ptr<MindDataDataset> DATASET_API
 MindData(const std::vector<std::string> &dataset_files, const std::vector<std::string> &columns_list = {},
          const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
          nlohmann::json *padded_sample = nullptr, int64_t num_padded = 0,
@@ -4135,12 +4131,10 @@ MindData(const std::vector<std::string> &dataset_files, const std::vector<std::s
 ///    ShuffleMode::kInfile - Shuffle data within each file.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the MindDataDataset.
-inline std::shared_ptr<MindDataDataset> MS_API MindData(const std::vector<std::string> &dataset_files,
-                                                        const std::vector<std::string> &columns_list,
-                                                        const Sampler *sampler, nlohmann::json *padded_sample = nullptr,
-                                                        int64_t num_padded = 0,
-                                                        ShuffleMode shuffle_mode = ShuffleMode::kGlobal,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<MindDataDataset> DATASET_API
+MindData(const std::vector<std::string> &dataset_files, const std::vector<std::string> &columns_list,
+         const Sampler *sampler, nlohmann::json *padded_sample = nullptr, int64_t num_padded = 0,
+         ShuffleMode shuffle_mode = ShuffleMode::kGlobal, const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<MindDataDataset>(VectorStringToChar(dataset_files), VectorStringToChar(columns_list), sampler,
                                            padded_sample, num_padded, shuffle_mode, cache);
 }
@@ -4160,19 +4154,17 @@ inline std::shared_ptr<MindDataDataset> MS_API MindData(const std::vector<std::s
 ///    ShuffleMode::kInfile - Shuffle samples in file.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the MindDataDataset.
-inline std::shared_ptr<MindDataDataset> MS_API MindData(const std::vector<std::string> &dataset_files,
-                                                        const std::vector<std::string> &columns_list,
-                                                        const std::reference_wrapper<Sampler> &sampler,
-                                                        nlohmann::json *padded_sample = nullptr, int64_t num_padded = 0,
-                                                        ShuffleMode shuffle_mode = ShuffleMode::kGlobal,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<MindDataDataset> DATASET_API MindData(
+  const std::vector<std::string> &dataset_files, const std::vector<std::string> &columns_list,
+  const std::reference_wrapper<Sampler> &sampler, nlohmann::json *padded_sample = nullptr, int64_t num_padded = 0,
+  ShuffleMode shuffle_mode = ShuffleMode::kGlobal, const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<MindDataDataset>(VectorStringToChar(dataset_files), VectorStringToChar(columns_list), sampler,
                                            padded_sample, num_padded, shuffle_mode, cache);
 }
 
 /// \class MnistDataset
 /// \brief A source dataset for reading and parsing MNIST dataset.
-class MS_API MnistDataset : public Dataset {
+class DATASET_API MnistDataset : public Dataset {
  public:
   /// \brief Constructor of MnistDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -4225,7 +4217,7 @@ class MS_API MnistDataset : public Dataset {
 ///      /* Note: In MNIST dataset, each dictionary has keys "image" and "label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<MnistDataset> MS_API
+inline std::shared_ptr<MnistDataset> DATASET_API
 Mnist(const std::string &dataset_dir, const std::string &usage = "all",
       const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
       const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -4239,9 +4231,9 @@ Mnist(const std::string &dataset_dir, const std::string &usage = "all",
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the MnistDataset.
-inline std::shared_ptr<MnistDataset> MS_API Mnist(const std::string &dataset_dir, const std::string &usage,
-                                                  const Sampler *sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<MnistDataset> DATASET_API Mnist(const std::string &dataset_dir, const std::string &usage,
+                                                       const Sampler *sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<MnistDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
@@ -4252,15 +4244,15 @@ inline std::shared_ptr<MnistDataset> MS_API Mnist(const std::string &dataset_dir
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the MnistDataset.
-inline std::shared_ptr<MnistDataset> MS_API Mnist(const std::string &dataset_dir, const std::string &usage,
-                                                  const std::reference_wrapper<Sampler> &sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<MnistDataset> DATASET_API Mnist(const std::string &dataset_dir, const std::string &usage,
+                                                       const std::reference_wrapper<Sampler> &sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<MnistDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
 /// \class Multi30kDataset
 /// \brief A source dataset that reads and parses Multi30k dataset.
-class MS_API Multi30kDataset : public Dataset {
+class DATASET_API Multi30kDataset : public Dataset {
  public:
   /// \brief Constructor of Multi30kDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -4315,13 +4307,11 @@ class MS_API Multi30kDataset : public Dataset {
 ///      /* Note: In Multi30kdataset, each dictionary has keys "text" and "translation" */
 ///      auto text = row["text"];
 /// \endcode
-inline std::shared_ptr<Multi30kDataset> MS_API Multi30k(const std::string &dataset_dir,
-                                                        const std::string &usage = "all",
-                                                        const std::vector<std::string> &language_pair = {"en", "de"},
-                                                        int64_t num_samples = 0,
-                                                        ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                        int32_t num_shards = 1, int32_t shard_id = 0,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<Multi30kDataset> DATASET_API
+Multi30k(const std::string &dataset_dir, const std::string &usage = "all",
+         const std::vector<std::string> &language_pair = {"en", "de"}, int64_t num_samples = 0,
+         ShuffleMode shuffle = ShuffleMode::kGlobal, int32_t num_shards = 1, int32_t shard_id = 0,
+         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<Multi30kDataset>(StringToChar(dataset_dir), StringToChar(usage),
                                            VectorStringToChar(language_pair), num_samples, shuffle, num_shards,
                                            shard_id, cache);
@@ -4329,7 +4319,7 @@ inline std::shared_ptr<Multi30kDataset> MS_API Multi30k(const std::string &datas
 
 /// \class OmniglotDataset
 /// \brief A source dataset for reading and parsing Omniglot dataset.
-class MS_API OmniglotDataset : public Dataset {
+class DATASET_API OmniglotDataset : public Dataset {
  public:
   /// \brief Constructor of OmniglotDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -4385,7 +4375,7 @@ class MS_API OmniglotDataset : public Dataset {
 ///      /* Note: In Omniglot dataset, each dictionary has keys "image" and "label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<OmniglotDataset> MS_API
+inline std::shared_ptr<OmniglotDataset> DATASET_API
 Omniglot(const std::string &dataset_dir, bool background = true, bool decode = false,
          const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
          const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -4400,9 +4390,9 @@ Omniglot(const std::string &dataset_dir, bool background = true, bool decode = f
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current OmniglotDataset.
-inline std::shared_ptr<OmniglotDataset> MS_API Omniglot(const std::string &dataset_dir, bool background, bool decode,
-                                                        const Sampler *sampler,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<OmniglotDataset> DATASET_API Omniglot(const std::string &dataset_dir, bool background,
+                                                             bool decode, const Sampler *sampler,
+                                                             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<OmniglotDataset>(StringToChar(dataset_dir), background, decode, sampler, cache);
 }
 
@@ -4414,15 +4404,16 @@ inline std::shared_ptr<OmniglotDataset> MS_API Omniglot(const std::string &datas
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current OmniglotDataset.
-inline std::shared_ptr<OmniglotDataset> MS_API Omniglot(const std::string &dataset_dir, bool background, bool decode,
-                                                        const std::reference_wrapper<Sampler> &sampler,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<OmniglotDataset> DATASET_API Omniglot(const std::string &dataset_dir, bool background,
+                                                             bool decode,
+                                                             const std::reference_wrapper<Sampler> &sampler,
+                                                             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<OmniglotDataset>(StringToChar(dataset_dir), background, decode, sampler, cache);
 }
 
 /// \class PennTreebankDataset
 /// \brief A source dataset for reading and parsing PennTreebank dataset.
-class MS_API PennTreebankDataset : public Dataset {
+class DATASET_API PennTreebankDataset : public Dataset {
  public:
   /// \brief Constructor of PennTreebank Dataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -4462,19 +4453,17 @@ class MS_API PennTreebankDataset : public Dataset {
 ///     specified only when num_shards is also specified (Default = 0).
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the TextFileDataset.
-inline std::shared_ptr<PennTreebankDataset> MS_API PennTreebank(const std::string &dataset_dir,
-                                                                const std::string &usage = "all",
-                                                                int64_t num_samples = 0,
-                                                                ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                                int32_t num_shards = 1, int32_t shard_id = 0,
-                                                                const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<PennTreebankDataset> DATASET_API
+PennTreebank(const std::string &dataset_dir, const std::string &usage = "all", int64_t num_samples = 0,
+             ShuffleMode shuffle = ShuffleMode::kGlobal, int32_t num_shards = 1, int32_t shard_id = 0,
+             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<PennTreebankDataset>(StringToChar(dataset_dir), StringToChar(usage), num_samples, shuffle,
                                                num_shards, shard_id, cache);
 }
 
 /// \class PhotoTourDataset
 /// \brief A source dataset for reading and parsing PhotoTour dataset.
-class MS_API PhotoTourDataset : public Dataset {
+class DATASET_API PhotoTourDataset : public Dataset {
  public:
   /// \brief Constructor of PhotoTourDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -4523,7 +4512,7 @@ class MS_API PhotoTourDataset : public Dataset {
 ///     be used to randomly iterate the entire dataset (default = RandomSampler()).
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current PhotoTourDataset.
-inline std::shared_ptr<PhotoTourDataset> MS_API
+inline std::shared_ptr<PhotoTourDataset> DATASET_API
 PhotoTour(const std::string &dataset_dir, const std::string &name, const std::string &usage = "train",
           const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
           const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -4541,9 +4530,9 @@ PhotoTour(const std::string &dataset_dir, const std::string &name, const std::st
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current PhotoTourDataset.
-inline std::shared_ptr<PhotoTourDataset> MS_API PhotoTour(const std::string &dataset_dir, const std::string &name,
-                                                          const std::string &usage, const Sampler *sampler,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<PhotoTourDataset> DATASET_API PhotoTour(const std::string &dataset_dir, const std::string &name,
+                                                               const std::string &usage, const Sampler *sampler,
+                                                               const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<PhotoTourDataset>(StringToChar(dataset_dir), StringToChar(name), StringToChar(usage), sampler,
                                             cache);
 }
@@ -4558,17 +4547,17 @@ inline std::shared_ptr<PhotoTourDataset> MS_API PhotoTour(const std::string &dat
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current PhotoTourDataset.
-inline std::shared_ptr<PhotoTourDataset> MS_API PhotoTour(const std::string &dataset_dir, const std::string &name,
-                                                          const std::string &usage,
-                                                          const std::reference_wrapper<Sampler> &sampler,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<PhotoTourDataset> DATASET_API PhotoTour(const std::string &dataset_dir, const std::string &name,
+                                                               const std::string &usage,
+                                                               const std::reference_wrapper<Sampler> &sampler,
+                                                               const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<PhotoTourDataset>(StringToChar(dataset_dir), StringToChar(name), StringToChar(usage), sampler,
                                             cache);
 }
 
 /// \class Places365Dataset
 /// \brief A source dataset that reads and parses Places365 dataset.
-class MS_API Places365Dataset : public Dataset {
+class DATASET_API Places365Dataset : public Dataset {
  public:
   /// \brief Constructor of Places365Dataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -4617,7 +4606,7 @@ class MS_API Places365Dataset : public Dataset {
 ///     be used to randomly iterate the entire dataset (default = RandomSampler()).
 /// \param[in] cache Tensor cache to use. (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current Places365Dataset.
-inline std::shared_ptr<Places365Dataset> MS_API
+inline std::shared_ptr<Places365Dataset> DATASET_API
 Places365(const std::string &dataset_dir, const std::string &usage = "train-standard", const bool small = false,
           const bool decode = true, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
           const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -4634,9 +4623,10 @@ Places365(const std::string &dataset_dir, const std::string &usage = "train-stan
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current Places365Dataset.
-inline std::shared_ptr<Places365Dataset> MS_API Places365(const std::string &dataset_dir, const std::string &usage,
-                                                          const bool small, const bool decode, const Sampler *sampler,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<Places365Dataset> DATASET_API Places365(const std::string &dataset_dir, const std::string &usage,
+                                                               const bool small, const bool decode,
+                                                               const Sampler *sampler,
+                                                               const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<Places365Dataset>(StringToChar(dataset_dir), StringToChar(usage), small, decode, sampler,
                                             cache);
 }
@@ -4650,17 +4640,17 @@ inline std::shared_ptr<Places365Dataset> MS_API Places365(const std::string &dat
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current Places365Dataset.
-inline std::shared_ptr<Places365Dataset> MS_API Places365(const std::string &dataset_dir, const std::string &usage,
-                                                          const bool small, const bool decode,
-                                                          const std::reference_wrapper<Sampler> &sampler,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<Places365Dataset> DATASET_API Places365(const std::string &dataset_dir, const std::string &usage,
+                                                               const bool small, const bool decode,
+                                                               const std::reference_wrapper<Sampler> &sampler,
+                                                               const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<Places365Dataset>(StringToChar(dataset_dir), StringToChar(usage), small, decode, sampler,
                                             cache);
 }
 
 /// \class QMnistDataset
 /// \brief A source dataset that reads and parses QMNIST dataset.
-class MS_API QMnistDataset : public Dataset {
+class DATASET_API QMnistDataset : public Dataset {
  public:
   /// \brief Constructor of QMnistDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -4721,7 +4711,7 @@ class MS_API QMnistDataset : public Dataset {
 ///      /* Note: In QMNIST dataset, each dictionary has keys "image" and "label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<QMnistDataset> MS_API
+inline std::shared_ptr<QMnistDataset> DATASET_API
 QMnist(const std::string &dataset_dir, const std::string &usage = "all", bool compat = true,
        const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
        const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -4736,9 +4726,9 @@ QMnist(const std::string &dataset_dir, const std::string &usage = "all", bool co
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the QMnistDataset.
-inline std::shared_ptr<QMnistDataset> MS_API QMnist(const std::string &dataset_dir, const std::string &usage,
-                                                    bool compat, const Sampler *sampler,
-                                                    const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<QMnistDataset> DATASET_API QMnist(const std::string &dataset_dir, const std::string &usage,
+                                                         bool compat, const Sampler *sampler,
+                                                         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<QMnistDataset>(StringToChar(dataset_dir), StringToChar(usage), compat, sampler, cache);
 }
 
@@ -4750,9 +4740,9 @@ inline std::shared_ptr<QMnistDataset> MS_API QMnist(const std::string &dataset_d
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the QMnistDataset.
-inline std::shared_ptr<QMnistDataset> MS_API QMnist(const std::string &dataset_dir, const std::string &usage,
-                                                    bool compat, const std::reference_wrapper<Sampler> &sampler,
-                                                    const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<QMnistDataset> DATASET_API QMnist(const std::string &dataset_dir, const std::string &usage,
+                                                         bool compat, const std::reference_wrapper<Sampler> &sampler,
+                                                         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<QMnistDataset>(StringToChar(dataset_dir), StringToChar(usage), compat, sampler, cache);
 }
 
@@ -4761,14 +4751,14 @@ inline std::shared_ptr<QMnistDataset> MS_API QMnist(const std::string &dataset_d
 /// \param[in] datasets1 Shared pointer to the first dataset to be concatenated.
 /// \param[in] datasets2 Shared pointer to the second dataset to be concatenated.
 /// \return Shared pointer to the current Dataset.
-inline std::shared_ptr<ConcatDataset> MS_API operator+(const std::shared_ptr<Dataset> &datasets1,
-                                                       const std::shared_ptr<Dataset> &datasets2) {
+inline std::shared_ptr<ConcatDataset> DATASET_API operator+(const std::shared_ptr<Dataset> &datasets1,
+                                                            const std::shared_ptr<Dataset> &datasets2) {
   return std::make_shared<ConcatDataset>(std::vector({datasets1, datasets2}));
 }
 
 /// \class RandomDataDataset
 /// \brief A source dataset that generates random data.
-class MS_API RandomDataDataset : public Dataset {
+class DATASET_API RandomDataDataset : public Dataset {
  public:
   /// \brief Constructor of RandomDataDataset.
   /// \param[in] total_rows Number of rows for the dataset to generate (default=0, number of rows is random).
@@ -4813,9 +4803,9 @@ class MS_API RandomDataDataset : public Dataset {
 ///      auto column1 = row["column1"];
 /// \endcode
 template <typename T = std::shared_ptr<SchemaObj>>
-std::shared_ptr<RandomDataDataset> MS_API RandomData(const int32_t &total_rows = 0, const T &schema = nullptr,
-                                                     const std::vector<std::string> &columns_list = {},
-                                                     const std::shared_ptr<DatasetCache> &cache = nullptr) {
+std::shared_ptr<RandomDataDataset> DATASET_API RandomData(const int32_t &total_rows = 0, const T &schema = nullptr,
+                                                          const std::vector<std::string> &columns_list = {},
+                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
   std::shared_ptr<RandomDataDataset> ds;
   if constexpr (std::is_same<T, std::nullptr_t>::value || std::is_same<T, std::shared_ptr<SchemaObj>>::value) {
     std::shared_ptr<SchemaObj> schema_obj = schema;
@@ -4829,7 +4819,7 @@ std::shared_ptr<RandomDataDataset> MS_API RandomData(const int32_t &total_rows =
 
 /// \class SBUDataset
 /// \brief A source dataset that reads and parses SBU dataset.
-class MS_API SBUDataset : public Dataset {
+class DATASET_API SBUDataset : public Dataset {
  public:
   /// \brief Constructor of SBUDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -4882,7 +4872,7 @@ class MS_API SBUDataset : public Dataset {
 ///      /* Note: In SBU dataset, each dictionary has keys "image" and "caption" */
 ///      auto caption = row["caption"];
 /// \endcode
-inline std::shared_ptr<SBUDataset> MS_API
+inline std::shared_ptr<SBUDataset> DATASET_API
 SBU(const std::string &dataset_dir, bool decode = false,
     const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
     const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -4896,8 +4886,8 @@ SBU(const std::string &dataset_dir, bool decode = false,
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current SBUDataset.
-inline std::shared_ptr<SBUDataset> MS_API SBU(const std::string &dataset_dir, bool decode, const Sampler *sampler,
-                                              const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<SBUDataset> DATASET_API SBU(const std::string &dataset_dir, bool decode, const Sampler *sampler,
+                                                   const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<SBUDataset>(StringToChar(dataset_dir), decode, sampler, cache);
 }
 
@@ -4908,15 +4898,15 @@ inline std::shared_ptr<SBUDataset> MS_API SBU(const std::string &dataset_dir, bo
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \return Shared pointer to the current SBUDataset.
-inline std::shared_ptr<SBUDataset> MS_API SBU(const std::string &dataset_dir, bool decode,
-                                              const std::reference_wrapper<Sampler> &sampler,
-                                              const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<SBUDataset> DATASET_API SBU(const std::string &dataset_dir, bool decode,
+                                                   const std::reference_wrapper<Sampler> &sampler,
+                                                   const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<SBUDataset>(StringToChar(dataset_dir), decode, sampler, cache);
 }
 
 /// \class SemeionDataset
 /// \brief A source dataset for reading and parsing Semeion dataset.
-class MS_API SemeionDataset : public Dataset {
+class DATASET_API SemeionDataset : public Dataset {
  public:
   /// \brief Constructor of SemeionDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -4964,7 +4954,7 @@ class MS_API SemeionDataset : public Dataset {
 ///      /* Note: In SEMEION dataset, each dictionary has keys "image" and "label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<SemeionDataset> MS_API
+inline std::shared_ptr<SemeionDataset> DATASET_API
 Semeion(const std::string &dataset_dir, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
         const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<SemeionDataset>(StringToChar(dataset_dir), sampler, cache);
@@ -4976,9 +4966,9 @@ Semeion(const std::string &dataset_dir, const std::shared_ptr<Sampler> &sampler
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the SemeionDataset.
-inline std::shared_ptr<SemeionDataset> MS_API Semeion(const std::string &dataset_dir,
-                                                      const std::reference_wrapper<Sampler> &sampler,
-                                                      const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<SemeionDataset> DATASET_API Semeion(const std::string &dataset_dir,
+                                                           const std::reference_wrapper<Sampler> &sampler,
+                                                           const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<SemeionDataset>(StringToChar(dataset_dir), sampler, cache);
 }
 
@@ -4988,14 +4978,14 @@ inline std::shared_ptr<SemeionDataset> MS_API Semeion(const std::string &dataset
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the SemeionDataset.
-inline std::shared_ptr<SemeionDataset> MS_API Semeion(const std::string &dataset_dir, Sampler *sampler,
-                                                      const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<SemeionDataset> DATASET_API Semeion(const std::string &dataset_dir, Sampler *sampler,
+                                                           const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<SemeionDataset>(StringToChar(dataset_dir), sampler, cache);
 }
 
 /// \class SogouNewsDataset
 /// \brief A source dataset for reading and parsing Sogou News dataset.
-class MS_API SogouNewsDataset : public Dataset {
+class DATASET_API SogouNewsDataset : public Dataset {
  public:
   /// \brief Constructor of SogouNewsDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -5035,18 +5025,19 @@ class MS_API SogouNewsDataset : public Dataset {
 ///     specified only when num_shards is also specified (Default = 0).
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the SogouNewsDataset.
-inline std::shared_ptr<SogouNewsDataset> MS_API SogouNews(const std::string &dataset_dir,
-                                                          const std::string &usage = "all", int64_t num_samples = 0,
-                                                          ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                          int32_t num_shards = 1, int32_t shard_id = 0,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<SogouNewsDataset> DATASET_API SogouNews(const std::string &dataset_dir,
+                                                               const std::string &usage = "all",
+                                                               int64_t num_samples = 0,
+                                                               ShuffleMode shuffle = ShuffleMode::kGlobal,
+                                                               int32_t num_shards = 1, int32_t shard_id = 0,
+                                                               const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<SogouNewsDataset>(StringToChar(dataset_dir), StringToChar(usage), num_samples, shuffle,
                                             num_shards, shard_id, cache);
 }
 
 /// \class SpeechCommandsDataset.
 /// \brief A source dataset that reads and parses SpeechCommands dataset.
-class MS_API SpeechCommandsDataset : public Dataset {
+class DATASET_API SpeechCommandsDataset : public Dataset {
  public:
   /// \brief Constructor of SpeechCommandsDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -5084,7 +5075,7 @@ class MS_API SpeechCommandsDataset : public Dataset {
 ///     given, a `RandomSampler` will be used to randomly iterate the entire dataset (default = RandomSampler()).
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the SpeechCommandsDataset.
-inline std::shared_ptr<SpeechCommandsDataset> MS_API
+inline std::shared_ptr<SpeechCommandsDataset> DATASET_API
 SpeechCommands(const std::string &dataset_dir, const std::string &usage = "all",
                const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
                const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -5098,7 +5089,7 @@ SpeechCommands(const std::string &dataset_dir, const std::string &usage = "all",
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the SpeechCommandsDataset.
-inline std::shared_ptr<SpeechCommandsDataset> MS_API
+inline std::shared_ptr<SpeechCommandsDataset> DATASET_API
 SpeechCommands(const std::string &dataset_dir, const std::string &usage, const Sampler *sampler,
                const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<SpeechCommandsDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
@@ -5111,7 +5102,7 @@ SpeechCommands(const std::string &dataset_dir, const std::string &usage, const S
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the SpeechCommandsDataset.
-inline std::shared_ptr<SpeechCommandsDataset> MS_API
+inline std::shared_ptr<SpeechCommandsDataset> DATASET_API
 SpeechCommands(const std::string &dataset_dir, const std::string &usage, const std::reference_wrapper<Sampler> &sampler,
                const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<SpeechCommandsDataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
@@ -5119,7 +5110,7 @@ SpeechCommands(const std::string &dataset_dir, const std::string &usage, const s
 
 /// \class SQuADDataset
 /// \brief A source dataset that reads and parses SQuAD dataset.
-class MS_API SQuADDataset : public Dataset {
+class DATASET_API SQuADDataset : public Dataset {
  public:
   /// \brief Constructor of SQuADDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -5172,17 +5163,18 @@ class MS_API SQuADDataset : public Dataset {
 ///      /* Note: In SQuAD dataset, each dictionary has keys "context", "question", "text", "answer_start" */
 ///      auto context = row["context"];
 /// \endcode
-inline std::shared_ptr<SQuADDataset> MS_API SQuAD(const std::string &dataset_dir, const std::string &usage = "all",
-                                                  int64_t num_samples = 0, ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                  int32_t num_shards = 1, int32_t shard_id = 0,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<SQuADDataset> DATASET_API SQuAD(const std::string &dataset_dir, const std::string &usage = "all",
+                                                       int64_t num_samples = 0,
+                                                       ShuffleMode shuffle = ShuffleMode::kGlobal,
+                                                       int32_t num_shards = 1, int32_t shard_id = 0,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<SQuADDataset>(StringToChar(dataset_dir), StringToChar(usage), num_samples, shuffle,
                                         num_shards, shard_id, cache);
 }
 
 /// \class STL10Dataset
 /// \brief A source dataset that reads and parses STL10 dataset.
-class MS_API STL10Dataset : public Dataset {
+class DATASET_API STL10Dataset : public Dataset {
  public:
   /// \brief Constructor of STL10Dataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -5224,7 +5216,7 @@ class MS_API STL10Dataset : public Dataset {
 ///     given, a `RandomSampler` will be used to randomly iterate the entire dataset (default = RandomSampler()).
 /// \param[in] cache Tensor cache to use. (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current Dataset.
-inline std::shared_ptr<STL10Dataset> MS_API
+inline std::shared_ptr<STL10Dataset> DATASET_API
 STL10(const std::string &dataset_dir, const std::string &usage = "all",
       const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
       const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -5238,9 +5230,9 @@ STL10(const std::string &dataset_dir, const std::string &usage = "all",
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current Dataset.
-inline std::shared_ptr<STL10Dataset> MS_API STL10(const std::string &dataset_dir, const std::string &usage,
-                                                  const Sampler *sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<STL10Dataset> DATASET_API STL10(const std::string &dataset_dir, const std::string &usage,
+                                                       const Sampler *sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<STL10Dataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
@@ -5251,15 +5243,15 @@ inline std::shared_ptr<STL10Dataset> MS_API STL10(const std::string &dataset_dir
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use. (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current Dataset.
-inline std::shared_ptr<STL10Dataset> MS_API STL10(const std::string &dataset_dir, const std::string &usage,
-                                                  const std::reference_wrapper<Sampler> &sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<STL10Dataset> DATASET_API STL10(const std::string &dataset_dir, const std::string &usage,
+                                                       const std::reference_wrapper<Sampler> &sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<STL10Dataset>(StringToChar(dataset_dir), StringToChar(usage), sampler, cache);
 }
 
 /// \class TedliumDataset
 /// \brief A source dataset for reading and parsing tedlium dataset.
-class MS_API TedliumDataset : public Dataset {
+class DATASET_API TedliumDataset : public Dataset {
  public:
   /// \brief Constructor of TedliumDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -5314,7 +5306,7 @@ class MS_API TedliumDataset : public Dataset {
 ///     given, a `RandomSampler` will be used to randomly iterate the entire dataset (default = RandomSampler()).
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the TedliumDataset.
-inline std::shared_ptr<TedliumDataset> MS_API Tedlium(
+inline std::shared_ptr<TedliumDataset> DATASET_API Tedlium(
   const std::string &dataset_dir, const std::string &release, const std::string &usage = "all",
   const std::string &extensions = ".sph", const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
   const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -5333,10 +5325,10 @@ inline std::shared_ptr<TedliumDataset> MS_API Tedlium(
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the TedliumDataset.
-inline std::shared_ptr<TedliumDataset> MS_API Tedlium(const std::string &dataset_dir, const std::string &release,
-                                                      const std::string &usage, const std::string &extensions,
-                                                      const std::reference_wrapper<Sampler> &sampler,
-                                                      const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<TedliumDataset> DATASET_API Tedlium(const std::string &dataset_dir, const std::string &release,
+                                                           const std::string &usage, const std::string &extensions,
+                                                           const std::reference_wrapper<Sampler> &sampler,
+                                                           const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<TedliumDataset>(StringToChar(dataset_dir), StringToChar(release), StringToChar(usage),
                                           StringToChar(extensions), sampler, cache);
 }
@@ -5352,17 +5344,17 @@ inline std::shared_ptr<TedliumDataset> MS_API Tedlium(const std::string &dataset
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the TedliumDataset.
-inline std::shared_ptr<TedliumDataset> MS_API Tedlium(const std::string &dataset_dir, const std::string &release,
-                                                      const std::string &usage, const std::string &extensions,
-                                                      Sampler *sampler,
-                                                      const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<TedliumDataset> DATASET_API Tedlium(const std::string &dataset_dir, const std::string &release,
+                                                           const std::string &usage, const std::string &extensions,
+                                                           Sampler *sampler,
+                                                           const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<TedliumDataset>(StringToChar(dataset_dir), StringToChar(release), StringToChar(usage),
                                           StringToChar(extensions), sampler, cache);
 }
 
 /// \class TextFileDataset
 /// \brief A source dataset that reads and parses datasets stored on disk in text format.
-class MS_API TextFileDataset : public Dataset {
+class DATASET_API TextFileDataset : public Dataset {
  public:
   /// \brief Constructor of TextFileDataset.
   /// \param[in] dataset_files List of files to be read to search for a pattern of files. The list
@@ -5415,18 +5407,18 @@ class MS_API TextFileDataset : public Dataset {
 ///      /* Note: In TextFile dataset, each dictionary has key "text" */
 ///      auto text = row["text"];
 /// \endcode
-inline std::shared_ptr<TextFileDataset> MS_API TextFile(const std::vector<std::string> &dataset_files,
-                                                        int64_t num_samples = 0,
-                                                        ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                        int32_t num_shards = 1, int32_t shard_id = 0,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<TextFileDataset> DATASET_API TextFile(const std::vector<std::string> &dataset_files,
+                                                             int64_t num_samples = 0,
+                                                             ShuffleMode shuffle = ShuffleMode::kGlobal,
+                                                             int32_t num_shards = 1, int32_t shard_id = 0,
+                                                             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<TextFileDataset>(VectorStringToChar(dataset_files), num_samples, shuffle, num_shards,
                                            shard_id, cache);
 }
 
 /// \class TFRecordDataset
 /// \brief A source dataset for reading and parsing datasets stored on disk in TFData format.
-class MS_API TFRecordDataset : public Dataset {
+class DATASET_API TFRecordDataset : public Dataset {
  public:
   /// \brief Constructor of TFRecordDataset.
   /// \param[in] dataset_files List of files to be read to search for a pattern of files. The list
@@ -5524,13 +5516,11 @@ class MS_API TFRecordDataset : public Dataset {
 ///      auto image = row["image"];
 /// \endcode
 template <typename T = std::shared_ptr<SchemaObj>>
-std::shared_ptr<TFRecordDataset> MS_API TFRecord(const std::vector<std::string> &dataset_files,
-                                                 const T &schema = nullptr,
-                                                 const std::vector<std::string> &columns_list = {},
-                                                 int64_t num_samples = 0, ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                 int32_t num_shards = 1, int32_t shard_id = 0,
-                                                 bool shard_equal_rows = false,
-                                                 const std::shared_ptr<DatasetCache> &cache = nullptr) {
+std::shared_ptr<TFRecordDataset> DATASET_API
+TFRecord(const std::vector<std::string> &dataset_files, const T &schema = nullptr,
+         const std::vector<std::string> &columns_list = {}, int64_t num_samples = 0,
+         ShuffleMode shuffle = ShuffleMode::kGlobal, int32_t num_shards = 1, int32_t shard_id = 0,
+         bool shard_equal_rows = false, const std::shared_ptr<DatasetCache> &cache = nullptr) {
   std::shared_ptr<TFRecordDataset> ds;
   if constexpr (std::is_same<T, std::nullptr_t>::value || std::is_same<T, std::shared_ptr<SchemaObj>>::value) {
     std::shared_ptr<SchemaObj> schema_obj = schema;
@@ -5555,7 +5545,7 @@ std::shared_ptr<TFRecordDataset> MS_API TFRecord(const std::vector<std::string>
 
 /// \class UDPOSDataset
 /// \brief A source dataset for reading and parsing UDPOS dataset.
-class MS_API UDPOSDataset : public Dataset {
+class DATASET_API UDPOSDataset : public Dataset {
  public:
   /// \brief Constructor of UDPOS Dataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -5607,17 +5597,18 @@ class MS_API UDPOSDataset : public Dataset {
 ///      /* Note: In UDPOS dataset, each dictionary has keys "word", "universal", "stanford" */
 ///      auto word = row["word"];
 /// \endcode
-inline std::shared_ptr<UDPOSDataset> MS_API UDPOS(const std::string &dataset_dir, const std::string &usage = "all",
-                                                  int64_t num_samples = 0, ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                  int32_t num_shards = 1, int32_t shard_id = 0,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<UDPOSDataset> DATASET_API UDPOS(const std::string &dataset_dir, const std::string &usage = "all",
+                                                       int64_t num_samples = 0,
+                                                       ShuffleMode shuffle = ShuffleMode::kGlobal,
+                                                       int32_t num_shards = 1, int32_t shard_id = 0,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<UDPOSDataset>(StringToChar(dataset_dir), StringToChar(usage), num_samples, shuffle,
                                         num_shards, shard_id, cache);
 }
 
 /// \class USPSDataset
 /// \brief A source dataset that reads and parses USPS datasets.
-class MS_API USPSDataset : public Dataset {
+class DATASET_API USPSDataset : public Dataset {
  public:
   /// \brief Constructor of USPSDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -5669,17 +5660,18 @@ class MS_API USPSDataset : public Dataset {
 ///      /* Note: In USPS dataset, each dictionary has keys "image" and "label" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<USPSDataset> MS_API USPS(const std::string &dataset_dir, const std::string &usage = "all",
-                                                int64_t num_samples = 0, ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                int32_t num_shards = 1, int32_t shard_id = 0,
-                                                const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<USPSDataset> DATASET_API USPS(const std::string &dataset_dir, const std::string &usage = "all",
+                                                     int64_t num_samples = 0,
+                                                     ShuffleMode shuffle = ShuffleMode::kGlobal, int32_t num_shards = 1,
+                                                     int32_t shard_id = 0,
+                                                     const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<USPSDataset>(StringToChar(dataset_dir), StringToChar(usage), num_samples, shuffle, num_shards,
                                        shard_id, cache);
 }
 
 /// \class VOCDataset
 /// \brief A source dataset for reading and parsing VOC dataset.
-class MS_API VOCDataset : public Dataset {
+class DATASET_API VOCDataset : public Dataset {
  public:
   /// \brief Constructor of VOCDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -5757,7 +5749,7 @@ class MS_API VOCDataset : public Dataset {
 ///      /* Note: In VOC dataset, if task='Detection', each dictionary has keys "image" and "annotation" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<VOCDataset> MS_API
+inline std::shared_ptr<VOCDataset> DATASET_API
 VOC(const std::string &dataset_dir, const std::string &task = "Segmentation", const std::string &usage = "train",
     const std::map<std::string, int32_t> &class_indexing = {}, bool decode = false,
     const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
@@ -5780,12 +5772,12 @@ VOC(const std::string &dataset_dir, const std::string &task = "Segmentation", co
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \param[in] extra_metadata Flag to add extra meta-data to row (default=false).
 /// \return Shared pointer to the VOCDataset.
-inline std::shared_ptr<VOCDataset> MS_API VOC(const std::string &dataset_dir, const std::string &task,
-                                              const std::string &usage,
-                                              const std::map<std::string, int32_t> &class_indexing, bool decode,
-                                              const Sampler *sampler,
-                                              const std::shared_ptr<DatasetCache> &cache = nullptr,
-                                              bool extra_metadata = false) {
+inline std::shared_ptr<VOCDataset> DATASET_API VOC(const std::string &dataset_dir, const std::string &task,
+                                                   const std::string &usage,
+                                                   const std::map<std::string, int32_t> &class_indexing, bool decode,
+                                                   const Sampler *sampler,
+                                                   const std::shared_ptr<DatasetCache> &cache = nullptr,
+                                                   bool extra_metadata = false) {
   return std::make_shared<VOCDataset>(StringToChar(dataset_dir), StringToChar(task), StringToChar(usage),
                                       MapStringToChar(class_indexing), decode, sampler, cache, extra_metadata);
 }
@@ -5804,19 +5796,19 @@ inline std::shared_ptr<VOCDataset> MS_API VOC(const std::string &dataset_dir, co
 /// \param[in] cache Tensor cache to use (default=nullptr which means no cache is used).
 /// \param[in] extra_metadata Flag to add extra meta-data to row (default=false).
 /// \return Shared pointer to the VOCDataset.
-inline std::shared_ptr<VOCDataset> MS_API VOC(const std::string &dataset_dir, const std::string &task,
-                                              const std::string &usage,
-                                              const std::map<std::string, int32_t> &class_indexing, bool decode,
-                                              const std::reference_wrapper<Sampler> &sampler,
-                                              const std::shared_ptr<DatasetCache> &cache = nullptr,
-                                              bool extra_metadata = false) {
+inline std::shared_ptr<VOCDataset> DATASET_API VOC(const std::string &dataset_dir, const std::string &task,
+                                                   const std::string &usage,
+                                                   const std::map<std::string, int32_t> &class_indexing, bool decode,
+                                                   const std::reference_wrapper<Sampler> &sampler,
+                                                   const std::shared_ptr<DatasetCache> &cache = nullptr,
+                                                   bool extra_metadata = false) {
   return std::make_shared<VOCDataset>(StringToChar(dataset_dir), StringToChar(task), StringToChar(usage),
                                       MapStringToChar(class_indexing), decode, sampler, cache, extra_metadata);
 }
 
 /// \class WIDERFaceDataset
 /// \brief A source dataset for reading and parsing WIDERFace dataset.
-class MS_API WIDERFaceDataset : public Dataset {
+class DATASET_API WIDERFaceDataset : public Dataset {
  public:
   /// \brief Constructor of WIDERFaceDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -5880,7 +5872,7 @@ class MS_API WIDERFaceDataset : public Dataset {
 ///      "blur", "expression", "illumination", "occlusion", "pose", "invalid" */
 ///      auto image = row["image"];
 /// \endcode
-inline std::shared_ptr<WIDERFaceDataset> MS_API
+inline std::shared_ptr<WIDERFaceDataset> DATASET_API
 WIDERFace(const std::string &dataset_dir, const std::string &usage = "all", bool decode = false,
           const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
           const std::shared_ptr<DatasetCache> &cache = nullptr) {
@@ -5898,9 +5890,9 @@ WIDERFace(const std::string &dataset_dir, const std::string &usage = "all", bool
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the WIDERFaceDataset.
-inline std::shared_ptr<WIDERFaceDataset> MS_API WIDERFace(const std::string &dataset_dir, const std::string &usage,
-                                                          bool decode, const Sampler *sampler,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<WIDERFaceDataset> DATASET_API WIDERFace(const std::string &dataset_dir, const std::string &usage,
+                                                               bool decode, const Sampler *sampler,
+                                                               const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<WIDERFaceDataset>(StringToChar(dataset_dir), StringToChar(usage), decode, sampler, cache);
 }
 
@@ -5915,15 +5907,16 @@ inline std::shared_ptr<WIDERFaceDataset> MS_API WIDERFace(const std::string &dat
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the WIDERFaceDataset.
-inline std::shared_ptr<WIDERFaceDataset> MS_API WIDERFace(const std::string &dataset_dir, const std::string &usage,
-                                                          bool decode, const std::reference_wrapper<Sampler> &sampler,
-                                                          const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<WIDERFaceDataset> DATASET_API WIDERFace(const std::string &dataset_dir, const std::string &usage,
+                                                               bool decode,
+                                                               const std::reference_wrapper<Sampler> &sampler,
+                                                               const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<WIDERFaceDataset>(StringToChar(dataset_dir), StringToChar(usage), decode, sampler, cache);
 }
 
 /// \class WikiTextDataset
 /// \brief A source dataset for reading and parsing WikiTextDataset dataset.
-class MS_API WikiTextDataset : public Dataset {
+class DATASET_API WikiTextDataset : public Dataset {
  public:
   /// \brief Constructor of WikiTextDataset Dataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -5976,18 +5969,18 @@ class MS_API WikiTextDataset : public Dataset {
 ///      /* Note: In WikiText dataset, each dictionary has key "text" */
 ///      auto text = row["text"];
 /// \endcode
-inline std::shared_ptr<WikiTextDataset> MS_API WikiText(const std::string &dataset_dir,
-                                                        const std::string &usage = "all", int64_t num_samples = 0,
-                                                        ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                        int32_t num_shards = 1, int32_t shard_id = 0,
-                                                        const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<WikiTextDataset> DATASET_API WikiText(const std::string &dataset_dir,
+                                                             const std::string &usage = "all", int64_t num_samples = 0,
+                                                             ShuffleMode shuffle = ShuffleMode::kGlobal,
+                                                             int32_t num_shards = 1, int32_t shard_id = 0,
+                                                             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<WikiTextDataset>(StringToChar(dataset_dir), StringToChar(usage), num_samples, shuffle,
                                            num_shards, shard_id, cache);
 }
 
 /// \class YahooAnswersDataset
 /// \brief A source dataset for reading and parsing YahooAnswers dataset.
-class MS_API YahooAnswersDataset : public Dataset {
+class DATASET_API YahooAnswersDataset : public Dataset {
  public:
   /// \brief Constructor of YahooAnswersDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -6039,19 +6032,17 @@ class MS_API YahooAnswersDataset : public Dataset {
 ///      /* Note: As we defined before, each data dictionary owns keys "class", "title", "content", "answer" */
 ///      auto title = row["title"];
 /// \endcode
-inline std::shared_ptr<YahooAnswersDataset> MS_API YahooAnswers(const std::string &dataset_dir,
-                                                                const std::string &usage = "all",
-                                                                int64_t num_samples = 0,
-                                                                ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                                int32_t num_shards = 1, int32_t shard_id = 0,
-                                                                const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<YahooAnswersDataset> DATASET_API
+YahooAnswers(const std::string &dataset_dir, const std::string &usage = "all", int64_t num_samples = 0,
+             ShuffleMode shuffle = ShuffleMode::kGlobal, int32_t num_shards = 1, int32_t shard_id = 0,
+             const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<YahooAnswersDataset>(StringToChar(dataset_dir), StringToChar(usage), num_samples, shuffle,
                                                num_shards, shard_id, cache);
 }
 
 /// \class YelpReviewDataset
 /// \brief A source dataset for reading and parsing Yelp Review dataset.
-class MS_API YelpReviewDataset : public Dataset {
+class DATASET_API YelpReviewDataset : public Dataset {
  public:
   /// \brief Constructor of YelpReviewDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -6091,18 +6082,19 @@ class MS_API YelpReviewDataset : public Dataset {
 ///     specified only when num_shards is also specified (Default = 0).
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the YelpReviewDataset.
-inline std::shared_ptr<YelpReviewDataset> MS_API YelpReview(const std::string &dataset_dir,
-                                                            const std::string &usage = "all", int64_t num_samples = 0,
-                                                            ShuffleMode shuffle = ShuffleMode::kGlobal,
-                                                            int32_t num_shards = 1, int32_t shard_id = 0,
-                                                            const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<YelpReviewDataset> DATASET_API YelpReview(const std::string &dataset_dir,
+                                                                 const std::string &usage = "all",
+                                                                 int64_t num_samples = 0,
+                                                                 ShuffleMode shuffle = ShuffleMode::kGlobal,
+                                                                 int32_t num_shards = 1, int32_t shard_id = 0,
+                                                                 const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<YelpReviewDataset>(StringToChar(dataset_dir), StringToChar(usage), num_samples, shuffle,
                                              num_shards, shard_id, cache);
 }
 
 /// \class YesNoDataset.
 /// \brief A source dataset for reading and parsing YesNo dataset.
-class MS_API YesNoDataset : public Dataset {
+class DATASET_API YesNoDataset : public Dataset {
  public:
   /// \brief Constructor of YesNoDataset.
   /// \param[in] dataset_dir Path to the root directory that contains the dataset.
@@ -6137,7 +6129,7 @@ class MS_API YesNoDataset : public Dataset {
 ///    given, a `RandomSampler` will be used to randomly iterate the entire dataset (default = RandomSampler()).
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current Dataset.
-inline std::shared_ptr<YesNoDataset> MS_API
+inline std::shared_ptr<YesNoDataset> DATASET_API
 YesNo(const std::string &dataset_dir, const std::shared_ptr<Sampler> &sampler = std::make_shared<RandomSampler>(),
       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<YesNoDataset>(StringToChar(dataset_dir), sampler, cache);
@@ -6149,8 +6141,8 @@ YesNo(const std::string &dataset_dir, const std::shared_ptr<Sampler> &sampler =
 /// \param[in] sampler Raw pointer to a sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current Dataset.
-inline std::shared_ptr<YesNoDataset> MS_API YesNo(const std::string &dataset_dir, Sampler *sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<YesNoDataset> DATASET_API YesNo(const std::string &dataset_dir, Sampler *sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<YesNoDataset>(StringToChar(dataset_dir), sampler, cache);
 }
 
@@ -6160,9 +6152,9 @@ inline std::shared_ptr<YesNoDataset> MS_API YesNo(const std::string &dataset_dir
 /// \param[in] sampler Sampler object used to choose samples from the dataset.
 /// \param[in] cache Tensor cache to use (default=nullptr, which means no cache is used).
 /// \return Shared pointer to the current Dataset.
-inline std::shared_ptr<YesNoDataset> MS_API YesNo(const std::string &dataset_dir,
-                                                  const std::reference_wrapper<Sampler> &sampler,
-                                                  const std::shared_ptr<DatasetCache> &cache = nullptr) {
+inline std::shared_ptr<YesNoDataset> DATASET_API YesNo(const std::string &dataset_dir,
+                                                       const std::reference_wrapper<Sampler> &sampler,
+                                                       const std::shared_ptr<DatasetCache> &cache = nullptr) {
   return std::make_shared<YesNoDataset>(StringToChar(dataset_dir), sampler, cache);
 }
 
@@ -6179,7 +6171,7 @@ inline std::shared_ptr<YesNoDataset> MS_API YesNo(const std::string &dataset_dir
 /// \param[in] num_connections optional number of connections (default=std::nullopt, means to use 12).
 /// \param[in] prefetch_sz optional prefetch size (default=std::nullopt, means to use 20).
 /// \return Shared pointer to DatasetCache. If error, nullptr is returned.
-std::shared_ptr<DatasetCache> MS_API CreateDatasetCacheCharIF(
+std::shared_ptr<DatasetCache> DATASET_API CreateDatasetCacheCharIF(
   session_id_type id, uint64_t mem_sz, bool spill, const std::optional<std::vector<char>> &hostname = std::nullopt,
   const std::optional<int32_t> &port = std::nullopt, const std::optional<int32_t> &num_connections = std::nullopt,
   const std::optional<int32_t> &prefetch_sz = std::nullopt);
@@ -6206,7 +6198,7 @@ std::shared_ptr<DatasetCache> MS_API CreateDatasetCacheCharIF(
 ///      /* Create iterator to read dataset */
 ///      std::shared_ptr<Iterator> iter = ds->CreateIterator();
 /// \endcode
-inline std::shared_ptr<DatasetCache> MS_API CreateDatasetCache(
+inline std::shared_ptr<DatasetCache> DATASET_API CreateDatasetCache(
   session_id_type id, uint64_t mem_sz, bool spill, const std::optional<std::string> &hostname = std::nullopt,
   const std::optional<int32_t> &port = std::nullopt, const std::optional<int32_t> &num_connections = std::nullopt,
   const std::optional<int32_t> &prefetch_sz = std::nullopt) {
@@ -6221,7 +6213,7 @@ inline std::shared_ptr<DatasetCache> MS_API CreateDatasetCache(
 /// \note Applies zip to the dataset.
 /// \param[in] datasets List of shared pointers to the datasets that we want to zip.
 /// \return Shared pointer to the ZipDataset.
-inline std::shared_ptr<ZipDataset> MS_API Zip(const std::vector<std::shared_ptr<Dataset>> &datasets) {
+inline std::shared_ptr<ZipDataset> DATASET_API Zip(const std::vector<std::shared_ptr<Dataset>> &datasets) {
   return std::make_shared<ZipDataset>(datasets);
 }
 }  // namespace dataset
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/execute.h b/mindspore/ccsrc/minddata/dataset/include/dataset/execute.h
index d15150299a2..fb3008ba6e7 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/execute.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/execute.h
@@ -33,7 +33,7 @@ class TensorOp;
 class Tensor;
 
 // class to run tensor operations in eager mode
-class MS_API Execute {
+class DATASET_API Execute {
  public:
   /// \brief Constructor.
   /// \param[in] op TensorOperation to be applied in Eager mode, it accepts operation in type of shared pointer.
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/iterator.h b/mindspore/ccsrc/minddata/dataset/include/dataset/iterator.h
index 85f7bca96e8..8cb84931f81 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/iterator.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/iterator.h
@@ -45,7 +45,7 @@ using MSTensorMapChar = std::map<std::vector<char>, mindspore::MSTensor>;
 using MSTensorVec = std::vector<mindspore::MSTensor>;
 
 // Abstract class for iterating over the dataset.
-class MS_API Iterator {
+class DATASET_API Iterator {
  public:
   /// \brief Constructor.
   Iterator();
@@ -146,7 +146,7 @@ class MS_API Iterator {
   IteratorConsumer *consumer_;
 };
 
-class MS_API PullIterator : public Iterator {
+class DATASET_API PullIterator : public Iterator {
  public:
   /// \brief Constructor.
   PullIterator();
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/samplers.h b/mindspore/ccsrc/minddata/dataset/include/dataset/samplers.h
index 8d988c4c261..61cb9baece3 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/samplers.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/samplers.h
@@ -31,7 +31,7 @@ class SamplerObj;
 // Abstract class to represent a sampler in the data pipeline.
 /// \class Sampler samplers.h
 /// \brief An abstract base class to represent a sampler in the data pipeline.
-class MS_API Sampler : std::enable_shared_from_this<Sampler> {
+class DATASET_API Sampler : std::enable_shared_from_this<Sampler> {
   friend class AlbumDataset;
   friend class Caltech256Dataset;
   friend class CelebADataset;
@@ -104,7 +104,7 @@ class MS_API Sampler : std::enable_shared_from_this<Sampler> {
 
 /// \brief A class to represent a Distributed Sampler in the data pipeline.
 /// \note A Sampler that accesses a shard of the dataset.
-class MS_API DistributedSampler final : public Sampler {
+class DATASET_API DistributedSampler final : public Sampler {
   friend std::shared_ptr<SamplerObj> SelectSampler(int64_t num_samples, bool shuffle, int32_t num_shards,
                                                    int32_t shard_id);
 
@@ -147,7 +147,7 @@ class MS_API DistributedSampler final : public Sampler {
 /// \brief A class to represent a PK Sampler in the data pipeline.
 /// \note Samples K elements for each P class in the dataset.
 ///        This will sample all classes.
-class MS_API PKSampler final : public Sampler {
+class DATASET_API PKSampler final : public Sampler {
   friend std::shared_ptr<SamplerObj> SelectSampler(int64_t num_samples, bool shuffle, int32_t num_shards,
                                                    int32_t shard_id);
 
@@ -180,7 +180,7 @@ class MS_API PKSampler final : public Sampler {
 
 /// \brief A class to represent a Random Sampler in the data pipeline.
 /// \note Samples the elements randomly.
-class MS_API RandomSampler final : public Sampler {
+class DATASET_API RandomSampler final : public Sampler {
   friend std::shared_ptr<SamplerObj> SelectSampler(int64_t num_samples, bool shuffle, int32_t num_shards,
                                                    int32_t shard_id);
 
@@ -211,7 +211,7 @@ class MS_API RandomSampler final : public Sampler {
 
 /// \brief A class to represent a Sequential Sampler in the data pipeline.
 /// \note Samples the dataset elements sequentially, same as not having a sampler.
-class MS_API SequentialSampler final : public Sampler {
+class DATASET_API SequentialSampler final : public Sampler {
   friend std::shared_ptr<SamplerObj> SelectSampler(int64_t num_samples, bool shuffle, int32_t num_shards,
                                                    int32_t shard_id);
 
@@ -242,7 +242,7 @@ class MS_API SequentialSampler final : public Sampler {
 
 /// \brief A class to represent a Subset Sampler in the data pipeline.
 /// \note Samples the elements from a sequence of indices.
-class MS_API SubsetSampler : public Sampler {
+class DATASET_API SubsetSampler : public Sampler {
   friend std::shared_ptr<SamplerObj> SelectSampler(int64_t num_samples, bool shuffle, int32_t num_shards,
                                                    int32_t shard_id);
 
@@ -272,7 +272,7 @@ class MS_API SubsetSampler : public Sampler {
 
 /// \brief A class to represent a Subset Random Sampler in the data pipeline.
 /// \note Samples the elements randomly from a sequence of indices.
-class MS_API SubsetRandomSampler final : public SubsetSampler {
+class DATASET_API SubsetRandomSampler final : public SubsetSampler {
   friend std::shared_ptr<SamplerObj> SelectSampler(int64_t num_samples, bool shuffle, int32_t num_shards,
                                                    int32_t shard_id);
 
@@ -300,7 +300,7 @@ class MS_API SubsetRandomSampler final : public SubsetSampler {
 /// \brief A class to represent a Weighted Random Sampler in the data pipeline.
 /// \note Samples the elements from [0, len(weights) - 1] randomly with the given
 ///        weights (probabilities).
-class MS_API WeightedRandomSampler final : public Sampler {
+class DATASET_API WeightedRandomSampler final : public Sampler {
   friend std::shared_ptr<SamplerObj> SelectSampler(int64_t num_samples, bool shuffle, int32_t num_shards,
                                                    int32_t shard_id);
 
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/text.h b/mindspore/ccsrc/minddata/dataset/include/dataset/text.h
index 5e7da1d8f5f..f900b12eeef 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/text.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/text.h
@@ -237,7 +237,7 @@ namespace text {
 #ifndef _WIN32
 /// \brief Tokenize a scalar tensor of UTF-8 string by specific rules.
 /// \note BasicTokenizer is not supported on the Windows platform yet.
-class MS_API BasicTokenizer final : public TensorTransform {
+class DATASET_API BasicTokenizer final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] lower_case If true, apply CaseFold, NormalizeUTF8 (NFD mode) and RegexReplace operations to
@@ -277,7 +277,7 @@ class MS_API BasicTokenizer final : public TensorTransform {
 
 /// \brief A tokenizer used for Bert text process.
 /// \note BertTokenizer is not supported on the Windows platform yet.
-class MS_API BertTokenizer final : public TensorTransform {
+class DATASET_API BertTokenizer final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] vocab A Vocab object.
@@ -348,7 +348,7 @@ class MS_API BertTokenizer final : public TensorTransform {
 };
 
 /// \brief Apply case fold operation on UTF-8 string tensors.
-class MS_API CaseFold final : public TensorTransform {
+class DATASET_API CaseFold final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
@@ -389,7 +389,7 @@ class FilterWikipediaXML final : public TensorTransform {
 
 /// \brief Tokenize a Chinese string into words based on the dictionary.
 /// \note The integrity of the HMMSegment algorithm and MPSegment algorithm files must be confirmed.
-class MS_API JiebaTokenizer final : public TensorTransform {
+class DATASET_API JiebaTokenizer final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] hmm_path Dictionary file is used by the HMMSegment algorithm. The dictionary can be obtained on the
@@ -501,7 +501,7 @@ class MS_API JiebaTokenizer final : public TensorTransform {
 };
 
 /// \brief Look up a word into an id according to the input vocabulary table.
-class MS_API Lookup final : public TensorTransform {
+class DATASET_API Lookup final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] vocab a Vocab object.
@@ -555,7 +555,7 @@ class MS_API Lookup final : public TensorTransform {
 };
 
 /// \brief Generate n-gram from a 1-D string Tensor.
-class MS_API Ngram final : public TensorTransform {
+class DATASET_API Ngram final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] ngrams ngrams is a vector of positive integers. For example, if ngrams={4, 3}, then the result
@@ -606,7 +606,7 @@ class MS_API Ngram final : public TensorTransform {
 
 #ifndef _WIN32
 /// \brief Apply normalize operation to UTF-8 string tensors.
-class MS_API NormalizeUTF8 final : public TensorTransform {
+class DATASET_API NormalizeUTF8 final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] normalize_form Valid values can be any of [NormalizeForm::kNone,NormalizeForm::kNfc,
@@ -642,7 +642,7 @@ class MS_API NormalizeUTF8 final : public TensorTransform {
 };
 
 /// \brief Replace a UTF-8 string tensor with 'replace' according to regular expression 'pattern'.
-class MS_API RegexReplace final : public TensorTransform {
+class DATASET_API RegexReplace final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] pattern The regex expression patterns.
@@ -682,7 +682,7 @@ class MS_API RegexReplace final : public TensorTransform {
 };
 
 /// \brief Tokenize a scalar tensor of UTF-8 string by the regex expression pattern.
-class MS_API RegexTokenizer final : public TensorTransform {
+class DATASET_API RegexTokenizer final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] delim_pattern The pattern of regex delimiters.
@@ -721,7 +721,7 @@ class MS_API RegexTokenizer final : public TensorTransform {
 #endif
 
 /// \brief Tokenize a scalar token or a 1-D token to tokens by sentencepiece.
-class MS_API SentencePieceTokenizer final : public TensorTransform {
+class DATASET_API SentencePieceTokenizer final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] vocab a SentencePieceVocab object.
@@ -777,7 +777,7 @@ class MS_API SentencePieceTokenizer final : public TensorTransform {
 
 /// \brief Construct a tensor from data (only 1-D for now), where each element in the dimension
 ///   axis is a slice of data starting at the corresponding position, with a specified width.
-class MS_API SlidingWindow final : public TensorTransform {
+class DATASET_API SlidingWindow final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] width The width of the window. It must be an integer and greater than zero.
@@ -812,7 +812,7 @@ class MS_API SlidingWindow final : public TensorTransform {
 ///   https://en.cppreference.com/w/cpp/string/basic_string/stof,
 ///   https://en.cppreference.com/w/cpp/string/basic_string/stoul,
 ///   except that any strings which represent negative numbers cannot be cast to an unsigned integer type.
-class MS_API ToNumber final : public TensorTransform {
+class DATASET_API ToNumber final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] data_type mindspore::DataType of the tensor to be cast to. Must be a numeric type, excluding bool.
@@ -841,7 +841,7 @@ class MS_API ToNumber final : public TensorTransform {
 };
 
 /// \brief Look up a token into an vector according to the input Vectors table.
-class MS_API ToVectors final : public TensorTransform {
+class DATASET_API ToVectors final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] vectors A Vectors object.
@@ -865,7 +865,7 @@ class MS_API ToVectors final : public TensorTransform {
 };
 
 /// \brief Truncate a pair of rank-1 tensors such that the total length is less than max_length.
-class MS_API TruncateSequencePair final : public TensorTransform {
+class DATASET_API TruncateSequencePair final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] max_length Maximum length required.
@@ -894,7 +894,7 @@ class MS_API TruncateSequencePair final : public TensorTransform {
 };
 
 /// \brief Tokenize a scalar tensor of UTF-8 string to Unicode characters.
-class MS_API UnicodeCharTokenizer final : public TensorTransform {
+class DATASET_API UnicodeCharTokenizer final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] with_offsets whether to output offsets of tokens (default=false).
@@ -923,7 +923,7 @@ class MS_API UnicodeCharTokenizer final : public TensorTransform {
 };
 
 /// \brief Tokenize scalar token or 1-D tokens to 1-D sub-word tokens.
-class MS_API WordpieceTokenizer final : public TensorTransform {
+class DATASET_API WordpieceTokenizer final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] vocab A Vocab object.
@@ -969,7 +969,7 @@ class MS_API WordpieceTokenizer final : public TensorTransform {
 
 #ifndef _WIN32
 /// \brief Tokenize a scalar tensor of UTF-8 string on Unicode script boundaries.
-class MS_API UnicodeScriptTokenizer final : public TensorTransform {
+class DATASET_API UnicodeScriptTokenizer final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] keep_whitespace whether to emit whitespace tokens (default=false).
@@ -999,7 +999,7 @@ class MS_API UnicodeScriptTokenizer final : public TensorTransform {
 };
 
 /// \brief Tokenize a scalar tensor of UTF-8 string on ICU4C defined whitespaces.
-class MS_API WhitespaceTokenizer final : public TensorTransform {
+class DATASET_API WhitespaceTokenizer final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] with_offsets whether to output offsets of tokens (default=false).
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/transforms.h b/mindspore/ccsrc/minddata/dataset/include/dataset/transforms.h
index e59bb28c645..a56538ba72b 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/transforms.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/transforms.h
@@ -47,7 +47,7 @@ class UniformAugment;
 // Abstract class to represent a tensor transform operation in the data pipeline.
 /// \class TensorTransform transforms.h
 /// \brief A base class to represent a tensor transform operation in the data pipeline.
-class MS_API TensorTransform : public std::enable_shared_from_this<TensorTransform> {
+class DATASET_API TensorTransform : public std::enable_shared_from_this<TensorTransform> {
   friend class Dataset;
   friend class Execute;
   friend class transforms::Compose;
@@ -76,7 +76,7 @@ class MS_API TensorTransform : public std::enable_shared_from_this<TensorTransfo
 };
 
 /// \brief Slice object used in SliceOption.
-class MS_API Slice {
+class DATASET_API Slice {
  public:
   /// \brief Constructor, with start, stop and step default to 0.
   Slice() : start_(0), stop_(0), step_(0) {}
@@ -122,7 +122,7 @@ class MS_API Slice {
 };
 
 /// \brief SliceOption used in Slice TensorTransform.
-class MS_API SliceOption {
+class DATASET_API SliceOption {
  public:
   /// \param[in] all Slice the whole dimension
   /// \par Example
@@ -166,7 +166,7 @@ class MS_API SliceOption {
 namespace transforms {
 
 /// \brief Compose a list of transforms into a single transform.
-class MS_API Compose final : public TensorTransform {
+class DATASET_API Compose final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] transforms A vector of raw pointers to TensorTransform objects to be applied.
@@ -229,7 +229,7 @@ class MS_API Compose final : public TensorTransform {
 };
 
 /// \brief Concatenate all tensors into a single tensor.
-class MS_API Concatenate final : public TensorTransform {
+class DATASET_API Concatenate final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] axis Concatenate the tensors along given axis, only support 0 or -1 so far (default=0).
@@ -263,7 +263,7 @@ class MS_API Concatenate final : public TensorTransform {
 
 /// \brief Duplicate the input tensor to a new output tensor.
 ///     The input tensor is carried over to the output list.
-class MS_API Duplicate final : public TensorTransform {
+class DATASET_API Duplicate final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
@@ -289,7 +289,7 @@ class MS_API Duplicate final : public TensorTransform {
 
 /// \brief Fill all elements in the tensor with the specified value.
 ///    The output tensor will have the same shape and type as the input tensor.
-class MS_API Fill final : public TensorTransform {
+class DATASET_API Fill final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] fill_value Scalar value to fill the tensor with.
@@ -322,7 +322,7 @@ class MS_API Fill final : public TensorTransform {
 
 /// \brief Mask content of the input tensor with the given predicate.
 ///     Any element of the tensor that matches the predicate will be evaluated to True, otherwise False.
-class MS_API Mask final : public TensorTransform {
+class DATASET_API Mask final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] op One of the relational operators: EQ, NE LT, GT, LE or GE.
@@ -357,7 +357,7 @@ class MS_API Mask final : public TensorTransform {
 };
 
 /// \brief Convert the labels into OneHot format.
-class MS_API OneHot final : public TensorTransform {
+class DATASET_API OneHot final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] num_classes number of classes.
@@ -388,7 +388,7 @@ class MS_API OneHot final : public TensorTransform {
 };
 
 /// \brief Pad input tensor according to pad_shape
-class MS_API PadEnd final : public TensorTransform {
+class DATASET_API PadEnd final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] pad_shape List of integers representing the shape needed, need to have same rank with input tensor.
@@ -421,7 +421,7 @@ class MS_API PadEnd final : public TensorTransform {
 };
 
 /// \brief Randomly perform a series of transforms with a given probability.
-class MS_API RandomApply final : public TensorTransform {
+class DATASET_API RandomApply final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] transforms A vector of raw pointers to TensorTransform objects to be applied.
@@ -487,7 +487,7 @@ class MS_API RandomApply final : public TensorTransform {
 };
 
 /// \brief Randomly select one transform from a list of transforms to perform on the input tensor.
-class MS_API RandomChoice final : public TensorTransform {
+class DATASET_API RandomChoice final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] transforms A vector of raw pointers to TensorTransform objects to be applied.
@@ -552,7 +552,7 @@ class MS_API RandomChoice final : public TensorTransform {
 /// \brief Extract a tensor out using the given n slices.
 ///     The functionality of Slice is similar to the feature of indexing of NumPy.
 ///     (Currently only rank-1 tensors are supported).
-class MS_API Slice final : public TensorTransform {
+class DATASET_API Slice final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] slice_input Vector of SliceOption.
@@ -582,7 +582,7 @@ class MS_API Slice final : public TensorTransform {
 };
 
 /// \brief Cast the MindSpore data type of a tensor to another.
-class MS_API TypeCast final : public TensorTransform {
+class DATASET_API TypeCast final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] data_type mindspore::DataType to be cast to.
@@ -612,7 +612,7 @@ class MS_API TypeCast final : public TensorTransform {
 
 /// \brief Return an output tensor that contains all the unique elements of the input tensor in
 ///     the same order as they appear in the input tensor.
-class MS_API Unique final : public TensorTransform {
+class DATASET_API Unique final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/vision.h b/mindspore/ccsrc/minddata/dataset/include/dataset/vision.h
index 87e7cae5547..b263c6ef93b 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/vision.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/vision.h
@@ -36,7 +36,7 @@ class TensorOperation;
 // Transform operations for performing computer vision.
 namespace vision {
 /// \brief Apply brightness adjustment on input image.
-class MS_API AdjustBrightness final : public TensorTransform {
+class DATASET_API AdjustBrightness final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] brightness_factor Adjusts image brightness, non negative real number.
@@ -66,7 +66,7 @@ class MS_API AdjustBrightness final : public TensorTransform {
 };
 
 /// \brief Apply contrast adjustment on input image.
-class MS_API AdjustContrast final : public TensorTransform {
+class DATASET_API AdjustContrast final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] contrast_factor Adjusts image contrast, non negative real number.
@@ -97,7 +97,7 @@ class MS_API AdjustContrast final : public TensorTransform {
 
 /// \brief AdjustGamma TensorTransform.
 /// \note Apply gamma correction on input image.
-class MS_API AdjustGamma final : public TensorTransform {
+class DATASET_API AdjustGamma final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] gamma Non negative real number, which makes the output image pixel value
@@ -129,7 +129,7 @@ class MS_API AdjustGamma final : public TensorTransform {
 };
 
 /// \note Apply hue adjustment on input image.
-class MS_API AdjustHue final : public TensorTransform {
+class DATASET_API AdjustHue final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] hue_factor How much to shift the hue channel, must be in the interval [-0.5, 0.5].
@@ -159,7 +159,7 @@ class MS_API AdjustHue final : public TensorTransform {
 };
 
 /// \brief Adjust the color saturation of the input image.
-class MS_API AdjustSaturation final : public TensorTransform {
+class DATASET_API AdjustSaturation final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] saturation_factor Adjust image saturation, non negative real number.
@@ -189,7 +189,7 @@ class MS_API AdjustSaturation final : public TensorTransform {
 };
 
 /// \brief Apply adjust sharpness on input image. Input image is expected to be in [H, W, C] or [H, W] format.
-class MS_API AdjustSharpness final : public TensorTransform {
+class DATASET_API AdjustSharpness final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] sharpness_factor How much to adjust the sharpness. Can be any Non negative real number.
@@ -220,7 +220,7 @@ class MS_API AdjustSharpness final : public TensorTransform {
 };
 
 /// \brief Apply AutoAugment data augmentation method.
-class MS_API AutoAugment final : public TensorTransform {
+class DATASET_API AutoAugment final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] policy An enum for the data auto augmentation policy (default=AutoAugmentPolicy::kImageNet).
@@ -261,7 +261,7 @@ class MS_API AutoAugment final : public TensorTransform {
 };
 
 /// \brief Apply automatic contrast on the input image.
-class MS_API AutoContrast final : public TensorTransform {
+class DATASET_API AutoContrast final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] cutoff Percent of pixels to cut off from the histogram, the valid range of cutoff value is 0 to 50.
@@ -293,7 +293,7 @@ class MS_API AutoContrast final : public TensorTransform {
 
 /// \brief BoundingBoxAugment TensorTransform.
 /// \note  Apply a given image transform on a random selection of bounding box regions of a given image.
-class MS_API BoundingBoxAugment final : public TensorTransform {
+class DATASET_API BoundingBoxAugment final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] transform Raw pointer to the TensorTransform operation.
@@ -354,7 +354,7 @@ class MS_API BoundingBoxAugment final : public TensorTransform {
 };
 
 /// \brief Change the color space of the image.
-class MS_API ConvertColor final : public TensorTransform {
+class DATASET_API ConvertColor final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] convert_mode The mode of image channel conversion.
@@ -382,7 +382,7 @@ class MS_API ConvertColor final : public TensorTransform {
 
 /// \brief Mask a random section of each image with the corresponding part of another randomly
 ///     selected image in that batch.
-class MS_API CutMixBatch final : public TensorTransform {
+class DATASET_API CutMixBatch final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] image_batch_format The format of the batch.
@@ -411,7 +411,7 @@ class MS_API CutMixBatch final : public TensorTransform {
 };
 
 /// \brief Randomly cut (mask) out a given number of square patches from the input image.
-class MS_API CutOut final : public TensorTransform {
+class DATASET_API CutOut final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] length Integer representing the side length of each square patch.
@@ -441,7 +441,7 @@ class MS_API CutOut final : public TensorTransform {
 };
 
 /// \brief Apply histogram equalization on the input image.
-class MS_API Equalize final : public TensorTransform {
+class DATASET_API Equalize final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
@@ -463,7 +463,7 @@ class MS_API Equalize final : public TensorTransform {
 };
 
 /// \brief Erase the input image with given value.
-class MS_API Erase final : public TensorTransform {
+class DATASET_API Erase final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] top Vertical ordinate of the upper left corner of erased region.
@@ -501,16 +501,16 @@ class MS_API Erase final : public TensorTransform {
 /// \param[in] image Tensor of the image.
 /// \param[out] channels Channels of the image.
 /// \return The status code.
-Status MS_API GetImageNumChannels(const mindspore::MSTensor &image, dsize_t *channels);
+Status DATASET_API GetImageNumChannels(const mindspore::MSTensor &image, dsize_t *channels);
 
 /// \brief Get the size of input image.
 /// \param[in] image Tensor of the image.
 /// \param[out] size Size of the image as [height, width].
 /// \return The status code.
-Status MS_API GetImageSize(const mindspore::MSTensor &image, std::vector<dsize_t> *size);
+Status DATASET_API GetImageSize(const mindspore::MSTensor &image, std::vector<dsize_t> *size);
 
 /// \brief Flip the input image horizontally.
-class MS_API HorizontalFlip final : public TensorTransform {
+class DATASET_API HorizontalFlip final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
@@ -532,7 +532,7 @@ class MS_API HorizontalFlip final : public TensorTransform {
 };
 
 /// \brief Apply invert on the input image in RGB mode.
-class MS_API Invert final : public TensorTransform {
+class DATASET_API Invert final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
@@ -555,7 +555,7 @@ class MS_API Invert final : public TensorTransform {
 
 /// \brief Apply MixUp transformation on an input batch of images and labels. The labels must be in
 ///     one-hot format and Batch must be called before calling this function.
-class MS_API MixUpBatch final : public TensorTransform {
+class DATASET_API MixUpBatch final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] alpha hyperparameter of beta distribution (default = 1.0).
@@ -583,7 +583,7 @@ class MS_API MixUpBatch final : public TensorTransform {
 
 /// \brief Normalize the input image with respect to mean and standard deviation and pads an extra
 ///     channel with value zero.
-class MS_API NormalizePad final : public TensorTransform {
+class DATASET_API NormalizePad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] mean A vector of mean values for each channel, with respect to channel order.
@@ -625,7 +625,7 @@ class MS_API NormalizePad final : public TensorTransform {
 };
 
 /// \brief Pad the image according to padding parameters.
-class MS_API Pad final : public TensorTransform {
+class DATASET_API Pad final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] padding A vector representing the number of pixels to pad the image.
@@ -675,7 +675,7 @@ class MS_API Pad final : public TensorTransform {
 };
 
 /// \brief Pad the image to a fixed size.
-class MS_API PadToSize final : public TensorTransform {
+class DATASET_API PadToSize final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] size A two element vector representing the target size to pad, in order of [height, width].
@@ -717,7 +717,7 @@ class MS_API PadToSize final : public TensorTransform {
 };
 
 /// \brief Posterize an image by reducing the number of bits for each color channel.
-class MS_API Posterize final : public TensorTransform {
+class DATASET_API Posterize final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] bits The number of bits to keep for each channel,
@@ -748,7 +748,7 @@ class MS_API Posterize final : public TensorTransform {
 };
 
 /// \brief Automatically adjust the contrast of the image with a given probability.
-class MS_API RandomAutoContrast final : public TensorTransform {
+class DATASET_API RandomAutoContrast final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] cutoff Percent of the lightest and darkest pixels to be cut off from
@@ -783,7 +783,7 @@ class MS_API RandomAutoContrast final : public TensorTransform {
 };
 
 /// \brief Randomly adjust the sharpness of the input image with a given probability.
-class MS_API RandomAdjustSharpness final : public TensorTransform {
+class DATASET_API RandomAdjustSharpness final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] degree A float representing sharpness adjustment degree, which must be non negative.
@@ -817,7 +817,7 @@ class MS_API RandomAdjustSharpness final : public TensorTransform {
 /// \brief Blend an image with its grayscale version with random weights
 ///        t and 1 - t generated from a given range. If the range is trivial
 ///        then the weights are determinate and t equals to the bound of the interval.
-class MS_API RandomColor final : public TensorTransform {
+class DATASET_API RandomColor final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] t_lb Lower bound random weights.
@@ -848,7 +848,7 @@ class MS_API RandomColor final : public TensorTransform {
 };
 
 /// \brief Randomly adjust the brightness, contrast, saturation, and hue of the input image.
-class MS_API RandomColorAdjust final : public TensorTransform {
+class DATASET_API RandomColorAdjust final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] brightness Brightness adjustment factor. Must be a vector of one or two values
@@ -889,7 +889,7 @@ class MS_API RandomColorAdjust final : public TensorTransform {
 };
 
 /// \brief Crop the input image at a random location.
-class MS_API RandomCrop final : public TensorTransform {
+class DATASET_API RandomCrop final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] size A vector representing the output size of the cropped image.
@@ -945,7 +945,7 @@ class MS_API RandomCrop final : public TensorTransform {
 };
 
 /// \brief Equivalent to RandomResizedCrop TensorTransform, but crop the image before decoding.
-class MS_API RandomCropDecodeResize final : public TensorTransform {
+class DATASET_API RandomCropDecodeResize final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] size A vector representing the output size of the cropped image.
@@ -992,7 +992,7 @@ class MS_API RandomCropDecodeResize final : public TensorTransform {
 
 /// \brief Crop the input image at a random location and adjust bounding boxes accordingly.
 ///        If the cropped area is out of bbox, the returned bbox will be empty.
-class MS_API RandomCropWithBBox final : public TensorTransform {
+class DATASET_API RandomCropWithBBox final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] size A vector representing the output size of the cropped image.
@@ -1046,7 +1046,7 @@ class MS_API RandomCropWithBBox final : public TensorTransform {
 };
 
 /// \brief Randomly apply histogram equalization on the input image with a given probability.
-class MS_API RandomEqualize final : public TensorTransform {
+class DATASET_API RandomEqualize final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] prob A float representing the probability of equalization, which
@@ -1077,7 +1077,7 @@ class MS_API RandomEqualize final : public TensorTransform {
 };
 
 /// \brief Randomly flip the input image horizontally with a given probability.
-class MS_API RandomHorizontalFlip final : public TensorTransform {
+class DATASET_API RandomHorizontalFlip final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] prob A float representing the probability of flip.
@@ -1107,7 +1107,7 @@ class MS_API RandomHorizontalFlip final : public TensorTransform {
 };
 
 /// \brief Randomly flip the input image horizontally with a given probability and adjust bounding boxes accordingly.
-class MS_API RandomHorizontalFlipWithBBox final : public TensorTransform {
+class DATASET_API RandomHorizontalFlipWithBBox final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] prob A float representing the probability of flip.
@@ -1136,7 +1136,7 @@ class MS_API RandomHorizontalFlipWithBBox final : public TensorTransform {
 };
 
 /// \brief Randomly invert the input image with a given probability.
-class MS_API RandomInvert final : public TensorTransform {
+class DATASET_API RandomInvert final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] prob A float representing the probability of the image being inverted, which
@@ -1167,7 +1167,7 @@ class MS_API RandomInvert final : public TensorTransform {
 };
 
 /// \brief Add AlexNet-style PCA-based noise to an image.
-class MS_API RandomLighting final : public TensorTransform {
+class DATASET_API RandomLighting final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] alpha A float representing the intensity of the image (default=0.05).
@@ -1197,7 +1197,7 @@ class MS_API RandomLighting final : public TensorTransform {
 };
 
 /// \brief Reduce the number of bits for each color channel randomly.
-class MS_API RandomPosterize final : public TensorTransform {
+class DATASET_API RandomPosterize final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] bit_range Range of random posterize to compress image.
@@ -1228,7 +1228,7 @@ class MS_API RandomPosterize final : public TensorTransform {
 };
 
 /// \brief Resize the input image using a randomly selected interpolation mode.
-class MS_API RandomResize final : public TensorTransform {
+class DATASET_API RandomResize final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] size A vector representing the output size of the resized image.
@@ -1261,7 +1261,7 @@ class MS_API RandomResize final : public TensorTransform {
 
 /// \brief Resize the input image using a randomly selected interpolation mode and adjust
 ///     bounding boxes accordingly.
-class MS_API RandomResizeWithBBox final : public TensorTransform {
+class DATASET_API RandomResizeWithBBox final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] size A vector representing the output size of the resized image.
@@ -1292,7 +1292,7 @@ class MS_API RandomResizeWithBBox final : public TensorTransform {
 };
 
 /// \brief Crop the input image to a random size and aspect ratio.
-class MS_API RandomResizedCrop final : public TensorTransform {
+class DATASET_API RandomResizedCrop final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] size A vector representing the output size of the cropped image.
@@ -1340,7 +1340,7 @@ class MS_API RandomResizedCrop final : public TensorTransform {
 
 /// \brief Crop the input image to a random size and aspect ratio.
 ///        If cropped area is out of bbox, the return bbox will be empty.
-class MS_API RandomResizedCropWithBBox final : public TensorTransform {
+class DATASET_API RandomResizedCropWithBBox final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] size A vector representing the output size of the cropped image.
@@ -1387,7 +1387,7 @@ class MS_API RandomResizedCropWithBBox final : public TensorTransform {
 };
 
 /// \brief Rotate the image according to parameters.
-class MS_API RandomRotation final : public TensorTransform {
+class DATASET_API RandomRotation final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] degrees A float vector of size 2, representing the starting and ending degrees.
@@ -1434,7 +1434,7 @@ class MS_API RandomRotation final : public TensorTransform {
 ///     (operation, prob), where operation is a TensorTransform operation and prob is the probability that this
 ///     operation will be applied. Once a sub-policy is selected, each operation within the sub-policy with be
 ///     applied in sequence according to its probability.
-class MS_API RandomSelectSubpolicy final : public TensorTransform {
+class DATASET_API RandomSelectSubpolicy final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] policy Vector of sub-policies to choose from, in which the TensorTransform objects are raw pointers.
@@ -1509,7 +1509,7 @@ class MS_API RandomSelectSubpolicy final : public TensorTransform {
 };
 
 /// \brief Adjust the sharpness of the input image by a fixed or random degree.
-class MS_API RandomSharpness final : public TensorTransform {
+class DATASET_API RandomSharpness final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] degrees A float vector of size 2, representing the range of random sharpness
@@ -1541,7 +1541,7 @@ class MS_API RandomSharpness final : public TensorTransform {
 };
 
 /// \brief Invert pixels randomly within a specified range.
-class MS_API RandomSolarize final : public TensorTransform {
+class DATASET_API RandomSolarize final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] threshold A vector with two elements specifying the pixel range to invert.
@@ -1573,7 +1573,7 @@ class MS_API RandomSolarize final : public TensorTransform {
 };
 
 /// \brief Randomly flip the input image vertically with a given probability.
-class MS_API RandomVerticalFlip final : public TensorTransform {
+class DATASET_API RandomVerticalFlip final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] prob A float representing the probability of flip.
@@ -1603,7 +1603,7 @@ class MS_API RandomVerticalFlip final : public TensorTransform {
 };
 
 /// \brief Randomly flip the input image vertically with a given probability and adjust bounding boxes accordingly.
-class MS_API RandomVerticalFlipWithBBox final : public TensorTransform {
+class DATASET_API RandomVerticalFlipWithBBox final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] prob A float representing the probability of flip.
@@ -1632,7 +1632,7 @@ class MS_API RandomVerticalFlipWithBBox final : public TensorTransform {
 };
 
 /// \brief Rescale the pixel value of input image.
-class MS_API Rescale final : public TensorTransform {
+class DATASET_API Rescale final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] rescale Rescale factor.
@@ -1663,7 +1663,7 @@ class MS_API Rescale final : public TensorTransform {
 };
 
 /// \brief Crop the given image and zoom to the specified size.
-class MS_API ResizedCrop final : public TensorTransform {
+class DATASET_API ResizedCrop final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] top Horizontal ordinate of the upper left corner of the crop image.
@@ -1707,7 +1707,7 @@ class MS_API ResizedCrop final : public TensorTransform {
 };
 
 /// \brief Resize the input image to the given size and adjust bounding boxes accordingly.
-class MS_API ResizeWithBBox final : public TensorTransform {
+class DATASET_API ResizeWithBBox final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] size The output size of the resized image.
@@ -1745,7 +1745,7 @@ class MS_API ResizeWithBBox final : public TensorTransform {
 };
 
 /// \brief Change the format of input tensor from 4-channel RGBA to 3-channel BGR.
-class MS_API RGBA2BGR final : public TensorTransform {
+class DATASET_API RGBA2BGR final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
@@ -1770,7 +1770,7 @@ class MS_API RGBA2BGR final : public TensorTransform {
 };
 
 /// \brief Change the input 4 channel RGBA tensor to 3 channel RGB.
-class MS_API RGBA2RGB final : public TensorTransform {
+class DATASET_API RGBA2RGB final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
@@ -1795,7 +1795,7 @@ class MS_API RGBA2RGB final : public TensorTransform {
 };
 
 /// \note Slice the tensor to multiple patches in horizontal and vertical directions.
-class MS_API SlicePatches final : public TensorTransform {
+class DATASET_API SlicePatches final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] num_height The number of patches in vertical direction (default=1).
@@ -1832,7 +1832,7 @@ class MS_API SlicePatches final : public TensorTransform {
 };
 
 /// \brief Invert pixels within a specified range.
-class MS_API Solarize final : public TensorTransform {
+class DATASET_API Solarize final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] threshold A vector with two elements specifying the pixel range to invert.
@@ -1864,7 +1864,7 @@ class MS_API Solarize final : public TensorTransform {
 };
 
 /// \brief Swap the red and blue channels of the input image.
-class MS_API SwapRedBlue final : public TensorTransform {
+class DATASET_API SwapRedBlue final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
@@ -1889,7 +1889,7 @@ class MS_API SwapRedBlue final : public TensorTransform {
 };
 
 /// \brief Divide the pixel values by 255 and convert from HWC format to CHW format with required datatype.
-class MS_API ToTensor final : public TensorTransform {
+class DATASET_API ToTensor final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] output_type The type of the output tensor of type mindspore::DataType or String
@@ -1921,7 +1921,7 @@ class MS_API ToTensor final : public TensorTransform {
 };
 
 /// \brief Dataset-independent data-augmentation with TrivialAugment Wide.
-class MS_API TrivialAugmentWide final : public TensorTransform {
+class DATASET_API TrivialAugmentWide final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] num_magnitude_bins The number of different magnitude values. Default: 31.
@@ -1958,7 +1958,7 @@ class MS_API TrivialAugmentWide final : public TensorTransform {
 };
 
 /// \brief Randomly perform transformations, as selected from input transform list, on the input tensor.
-class MS_API UniformAugment final : public TensorTransform {
+class DATASET_API UniformAugment final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] transforms Raw pointer to vector of TensorTransform operations.
@@ -2025,7 +2025,7 @@ class MS_API UniformAugment final : public TensorTransform {
 };
 
 /// \brief Flip the input image vertically.
-class MS_API VerticalFlip final : public TensorTransform {
+class DATASET_API VerticalFlip final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/vision_ascend.h b/mindspore/ccsrc/minddata/dataset/include/dataset/vision_ascend.h
index 793d9afb9ca..e21f02a5aac 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/vision_ascend.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/vision_ascend.h
@@ -35,7 +35,7 @@ namespace vision {
 
 /// \brief Decode and resize JPEG image using the hardware algorithm of
 ///     Ascend series chip DVPP module.
-class MS_API DvppDecodeResizeJpeg final : public TensorTransform {
+class DATASET_API DvppDecodeResizeJpeg final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] resize Parameter vector of two integers for each dimension, with respect to H,W order.
@@ -67,7 +67,7 @@ class MS_API DvppDecodeResizeJpeg final : public TensorTransform {
 
 /// \brief Decode, resize and crop JPEG image using the hardware algorithm of
 ///     Ascend series chip DVPP module.
-class MS_API DvppDecodeResizeCropJpeg final : public TensorTransform {
+class DATASET_API DvppDecodeResizeCropJpeg final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] crop Parameter vector of two integers for each dimension after final crop, with respect to H,W order.
@@ -100,7 +100,7 @@ class MS_API DvppDecodeResizeCropJpeg final : public TensorTransform {
 
 /// \brief Decode H264/H265 video using the hardware algorithm of
 ///     DVPP module on Ascend series chip.
-class MS_API DvppDecodeVideo final : public TensorTransform {
+class DATASET_API DvppDecodeVideo final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] size Parameter vector of two integers for each dimension of input video frames, with respect to H,W
@@ -176,7 +176,7 @@ class MS_API DvppDecodeVideo final : public TensorTransform {
 
 /// \brief Decode PNG image using the hardware algorithm of
 ///     Ascend series chip DVPP module.
-class MS_API DvppDecodePng final : public TensorTransform {
+class DATASET_API DvppDecodePng final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
diff --git a/mindspore/ccsrc/minddata/dataset/include/dataset/vision_lite.h b/mindspore/ccsrc/minddata/dataset/include/dataset/vision_lite.h
index fbefa0e2af9..5c2c3fba2d9 100644
--- a/mindspore/ccsrc/minddata/dataset/include/dataset/vision_lite.h
+++ b/mindspore/ccsrc/minddata/dataset/include/dataset/vision_lite.h
@@ -35,7 +35,7 @@ namespace vision {
 class RotateOperation;
 
 /// \brief Apply affine transform on the input image.
-class MS_API Affine final : public TensorTransform {
+class DATASET_API Affine final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] degrees The degrees to rotate the image.
@@ -79,7 +79,7 @@ class MS_API Affine final : public TensorTransform {
 };
 
 /// \brief Crop the input image at the center to the given size.
-class MS_API CenterCrop final : public TensorTransform {
+class DATASET_API CenterCrop final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] size A vector representing the output size of the cropped image.
@@ -113,7 +113,7 @@ class MS_API CenterCrop final : public TensorTransform {
 };
 
 /// \brief Crop an image based on location and crop size.
-class MS_API Crop final : public TensorTransform {
+class DATASET_API Crop final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] coordinates Starting location of crop. Must be a vector of two values, in the form of {x_coor, y_coor}.
@@ -146,7 +146,7 @@ class MS_API Crop final : public TensorTransform {
 };
 
 /// \brief Decode the input image in RGB mode.
-class MS_API Decode final : public TensorTransform {
+class DATASET_API Decode final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] rgb A boolean indicating whether to decode the image in RGB mode or not.
@@ -177,7 +177,7 @@ class MS_API Decode final : public TensorTransform {
 };
 
 /// \brief Blur the input image with the specified Gaussian kernel.
-class MS_API GaussianBlur final : public TensorTransform {
+class DATASET_API GaussianBlur final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] kernel_size A vector of Gaussian kernel size for width and height. The value must be positive and odd.
@@ -209,7 +209,7 @@ class MS_API GaussianBlur final : public TensorTransform {
 };
 
 /// \brief Transpose the input image; shape (H, W, C) to shape (C, H, W).
-class MS_API HWC2CHW final : public TensorTransform {
+class DATASET_API HWC2CHW final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
@@ -231,7 +231,7 @@ class MS_API HWC2CHW final : public TensorTransform {
 };
 
 /// \brief Normalize the input image with respect to mean and standard deviation.
-class MS_API Normalize final : public TensorTransform {
+class DATASET_API Normalize final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] mean A vector of mean values for each channel, with respect to channel order.
@@ -269,7 +269,7 @@ class MS_API Normalize final : public TensorTransform {
 };
 
 /// \brief Apply a Random Affine transformation on the input image in RGB or Greyscale mode.
-class MS_API RandomAffine final : public TensorTransform {
+class DATASET_API RandomAffine final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] degrees A float vector of size 2, representing the starting and ending degree.
@@ -320,7 +320,7 @@ class MS_API RandomAffine final : public TensorTransform {
 };
 
 /// \brief Resize the input image to the given size.
-class MS_API Resize final : public TensorTransform {
+class DATASET_API Resize final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] size A vector representing the output size of the resized image.
@@ -360,7 +360,7 @@ class MS_API Resize final : public TensorTransform {
 };
 
 /// \brief Keep the original picture ratio and fills the rest.
-class MS_API ResizePreserveAR final : public TensorTransform {
+class DATASET_API ResizePreserveAR final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \param[in] height The height of image output value after resizing.
@@ -401,7 +401,7 @@ class MS_API ResizePreserveAR final : public TensorTransform {
 
 /// \brief RGB2BGR TensorTransform.
 /// \note Convert the format of input image from RGB to BGR.
-class MS_API RGB2BGR final : public TensorTransform {
+class DATASET_API RGB2BGR final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
@@ -428,7 +428,7 @@ class MS_API RGB2BGR final : public TensorTransform {
 /// \brief RGB2GRAY TensorTransform.
 /// \note Convert RGB image or color image to grayscale image.
 /// \brief Convert a RGB image or color image to a grayscale one.
-class MS_API RGB2GRAY final : public TensorTransform {
+class DATASET_API RGB2GRAY final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \par Example
@@ -453,7 +453,7 @@ class MS_API RGB2GRAY final : public TensorTransform {
 };
 
 /// \brief Rotate the input image according to parameters.
-class MS_API Rotate final : public TensorTransform {
+class DATASET_API Rotate final : public TensorTransform {
  public:
   /// \brief Constructor.
   /// \note This api is only used in Lite, the interpolation mode is bilinear.