Knowledge2Model/Hugging2KG/metric_mapping.json

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{
"Accuracy": [
"acc",
"accuracy",
"acc/f1",
"Accuracy test",
"accuracy_stem",
"Accuracy test server",
"normalized_accuracy",
"Accuracy std test server",
"Accuracy testdev balanced",
"accuracy test server std",
"accuracy-top1",
"accuracy-top5",
"accuracy-norm",
"accuracy_norm",
"accuracy_malignant_breast_cancer",
"accuracy_bicycle",
"accuracy_road-cracks",
"qa_accuracy",
"eval_accuracy_bicycle",
"eval_accuracy_terrain",
"accuracy_plant_skip",
"accuracy_sleeve",
"accuracy_fruit",
"accuracy_biotic",
"accuracy_road-cracks",
"accuracy_flower",
"accuracy_mm_nli",
"eval_accuracy_person",
"accuracy_door",
"accuracy_waterway",
"accuracy_traffic_sign",
"accuracy_plant_skip",
"accuracy_person",
"eval_accuracy_sky",
"accuracy_building",
"accuracy_outside",
"accuracy_graf",
"accuracy_flat-sidewalk",
"accuracy_crack",
"accuracy_branch",
"accuracy_wall",
"accuracy_leaf",
"accuracy_vegetation",
"accuracy_terrain",
"accuracy_sky",
"accuracy_room",
"accuracy_right",
"accuracy_traversable",
"accuracy_ignore",
"accuracy_exact",
"accuracy_top2",
"accuracy_abnormality",
"accuracy test server",
"accuracy_fence",
"accuracy_top5",
"accuracy_earthquake-roads",
"accuracy_benign_breast_cancer",
"accuracy_scale_bar",
"accuracy_construction-building",
"accuracy_floor",
"accuracy_traffic_light",
"accuracy_manhattan",
"accuracy_nutrient_deficiency",
"accuracy_no_text",
"accuracy_left",
"accuracy_euclidean",
"accuracy_not_graf",
"accuracy_sidewalk",
"accuracy_cosinus",
"accuracy_unlabeled",
"accuracy_other",
"accuracy_weed_cluster",
"true_accuracy",
"relaxed_accuracy",
"balanced_accuracy",
"dev_accuracy",
"train_acc_off_by_one",
"accuracy_off_by_1",
"accuracy_ruler",
"sparse_categorical_accuracy",
"paired accuracy",
"inst_level_strict_acc_and_prompt_level_strict_acc",
"inst_level_strict_acc and prompt_level_strict_acc",
"zero-shot top-1 accuracy",
"zero-shot_top-1_accuracy",
"top-1_zero-shot_accuracy",
"inst_level_strict_acc",
"prompt_level_strict_acc",
"top-1_accuracy",
"top-1-accuracy",
"top1 accuracy",
"top1_accuracy",
"top_1_accuracy",
"top-5_accuracy",
"top5 accuracy",
"top_5_accuracy",
"top2_accuracy",
"top3_accuracy",
"top-3",
"top-2_acc",
"top-10",
"top_10",
"top-20*",
"top-25",
"top5*",
"acc_macro",
"macro_avg/acc",
"macro_avg_acc",
"acc_char",
"average/acc_char",
"macro_avg/acc_char",
"acc_micro",
"micro average accuracy",
"mean accuracy test/test2",
"Mean Accuracy test non numeric",
"mean accuracy bn/de/en/id/ko/pt/ru/zh",
"mean accuracy test_human/test_aug",
"mean accuracy",
"group_acc",
"classification_average_12_datasets",
"multilabel_classification_2_datasets",
"average_accuracy",
"Avg. Perf.",
"Avg.",
"Avg",
"avg",
"AVERAGE",
"Average (exclude HybriDial)",
"Average (all)",
"Average",
"average",
"mean_accuracy",
"Mean_Accuracy",
"avg_performance",
"average_performance",
"avg_perf",
"avg_f1",
"average_g",
"avg_ndcg@10",
"avg_perf",
"OpenCompass-avg",
"opencompass_avg",
"OpenCompass_avg",
"average_score",
"Average Score on 11 Academic Benchmarks",
"average_similarity",
"average_precision",
"average_max_reward",
"average_reward",
"average_30_datasets",
"#Average",
"#Overall Average",
"Overall_Accuracy",
"Overall",
"Overall_Accuracy",
"overall_score",
"single_turn_overall",
"multi_turn_overall",
"single_turn_inference",
"multi_turn_inference",
"classification_average_12_datasets",
"pairclassification_average_4_datasets",
"multilabel_classification_2_datasets"
],
"F1 Score": [
"f1",
"f-score",
"F1",
"f1-score",
"F1 Score",
"F1_Score",
"f1score",
"F-measure",
"f1/em",
"f1/em",
"F1-score",
"F1 Score (Macro)",
"F1 of positive class",
"f1_positive_class",
"F1 of positive class",
"f1-score_non-sensational",
"f1-score_weighted",
"f1_score_weighted",
"f1_score_macro",
"f1-score_macro",
"f1_weighted",
"F1 Score (Macro)",
"F1 Score",
"f1score",
"F1_Score",
"f1-micro",
"f1_micro",
"f1-micro/auc",
"f1-micro_auc",
"f1-macro",
"f1_macro",
"f1-macro",
"macro F1",
"Macro F1",
"macro F1",
"F1_micro",
"F1_EM_VilaQuAD",
"F1_EM_ViquiQuAD",
"f1_entity_span",
"f1_entity/f1-char",
"f1_ner",
"f1_punct",
"f1_top1",
"f1_case",
"f1_no_type",
"f1_ner",
"NER_F1",
"NER F Score",
"NERC_F1",
"NER Score",
"NER Precision",
"NER_Precision",
"NER Recall",
"NER_Recall",
"f1_ORGANIZATION",
"f1_LOCATION",
"organization_f1",
"location_f1",
"macro F1",
"F1 Score (Macro)",
"f1_score_slightly_biased",
"f1_score_neutral",
"f1_score_macro",
"f1_score_weighted",
"f1_score_macro",
"f1_score_weighted",
"macro F1",
"F1 Score (Macro)",
"f1score",
"F1_Score",
"f1-micro",
"f1_micro",
"f1-micro/auc",
"f1-micro_auc",
"f1-macro",
"f1_macro",
"f1-macro",
"macro F1",
"Macro F1",
"macro F1",
"F1_micro",
"F1_EM_VilaQuAD",
"F1_EM_ViquiQuAD",
"f1_entity_span",
"f1_entity/f1-char",
"f1_ner",
"f1_punct",
"f1_top1",
"f1_case",
"f1_no_type",
"f1_ner",
"NER_F1",
"NER F Score",
"NERC_F1",
"NER Score",
"NER Precision",
"NER_Precision",
"NER Recall",
"NER_Recall",
"f1_ORGANIZATION",
"f1_LOCATION",
"organization_f1",
"location_f1",
"macro F1",
"F1 Score (Macro)",
"f1_score_slightly_biased",
"f1_score_neutral",
"f1_score_macro",
"f1_score_weighted",
"f1_score_macro",
"f1_score_weighted",
"re+ macro f1",
"F1@M",
"f1@m",
"F1@5",
"f1@5",
"f1-score",
"F1-Score",
"f1score",
"F1_Score",
"F1",
"f1",
"F-score",
"f-score",
"F-measure",
"f-measure",
"F-measure",
"f_score",
"F_slot_F1",
"Sentences_F-Score_SENTS",
"Sentences F-Score",
"F1-Score_128",
"Test F1",
"Test_F1",
"subj_f1",
"start_f1_score",
"end_f1_score",
"true-case-f1",
"f1_punct",
"weighted-f1",
"weighted_recall",
"weighted-recall",
"weighted_precision",
"macro-f1",
"macro_recall",
"macro-precision",
"prec_macro",
"precision_macro",
"macro_recall",
"macro-precision",
"prec_macro",
"precision_macro",
"re_micro_f1",
"re_micro_F1",
"re_micro_f1",
"f1_micro",
"f1-micro",
"micro-f1",
"micro_f1",
"micro_f1_score",
"prec_micro",
"precision_micro",
"micro-precision",
"micro_precision",
"f1-score_non-sensational",
"f1-score_weighted",
"f1_score_weighted",
"f1_score_macro",
"f1-score_macro",
"f1_weighted",
"f1_score_slightly_biased",
"f1_score_neutral",
"f1_score_macro",
"f1_score_weighted",
"f1_score_macro",
"f1_score_weighted",
"overall_f1",
"Average_F1",
"mean f1",
"Mean_F1",
"f1_TVSHOW",
"Test F1",
"F1_Score",
"F1 Score",
"f1score",
"f1-score",
"F1",
"f1",
"f-score",
"f-score",
"F-measure",
"f-measure",
"macro F1",
"Macro F1",
"macro F1",
"F1_micro",
"f1_micro",
"f1-micro",
"micro-f1",
"micro_f1",
"f1-macro",
"f1_macro",
"macro-f1",
"macro_f1",
"f1_entity_span",
"f1_entity/f1-char",
"f1_ner",
"f1_punct",
"f1_top1",
"f1_case",
"f1_no_type",
"f1_ner",
"f1_ORGANIZATION",
"f1_LOCATION"
],
"Recall": [
"recall",
"recall-score",
"recall_PERSON",
"recall_LOCATION",
"recall_biased",
"text_recall",
"cosine_recall@1",
"cosine_recall@2",
"cosine_recall@3",
"cosine_recall@5",
"cosine_recall@10",
"dot_recall",
"dot_recall@3",
"dot_recall@5",
"dot_recall@10",
"Retrieval@5",
"retrieval@5",
"Retrieval",
"Retrieval_JMTEB",
"text-retrieval-R@5",
"image_retrieval_R@5",
"flickr-imageretr-R@5",
"mscoco-imageretr-R@5",
"text-retrieval_R@10",
"image_retrieval_R@10",
"text_retrieval_R@1",
"image_retrieval_R@1",
"flickr-imageretr-R@1",
"mscoco-imageretr-R@1",
"text-retrieval-R@1",
"end_recall",
"start_recall",
"seg_recall",
"rl_recall",
"weighted_recall",
"macro-recall",
"micro_recall",
"recall_micro",
"macro_recall",
"precision-recall-f1",
"recall_PRODUCT",
"recall_sensational",
"recall_weighted",
"recall_positive_class",
"recall of positive class",
"recall_entity_span",
"recall_core_phi_span",
"answer_recall_rate",
"Recall@1",
"Recall@3",
"Recall@5",
"Recall@500",
"Recall@100",
"Recall@1K",
"R@1",
"R@5",
"R@10",
"R@50",
"R@100",
"R@1k",
"R@1000",
"flickr30k.test_R@1",
"flickr-textretr-R@1",
"mscoco-textretr-R@1",
"Flickr30k-test-R@1",
"flickr-textretr-R@5",
"mscoco-textretr-R@5",
"rouge1-recall",
"rouge2_recall",
"rouge1-r",
"rouge2-r",
"r1_recall",
"r2_recall",
"r1_precision",
"punct_post_recall",
"punct_pre_recall",
"recall_top1",
"AvgRecall"
],
"Precision": [
"precision",
"precision-score",
"qa_aligned_precision_bertscore_question_answer_generation_gold_answer",
"qa_aligned_precision_moverscore_question_answer_generation_gold_answer",
"qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer_gold_answer",
"precision_at_1",
"precision_at_3",
"precision_at_5",
"precision_at_10",
"precision_at_1000",
"dot_precision",
"dot_precision@1",
"dot_precision@3",
"dot_precision@5",
"dot_precision@10",
"dot_precision@100",
"precision_biased",
"precision_non_biased",
"precision_weighted",
"macro-precision",
"micro-precision",
"precision_micro",
"prec_micro",
"macro_precision",
"precision_macro",
"prec_macro",
"precision_macro",
"macro-precision",
"precision_macro",
"prec_macro",
"precision_macro",
"precision of positive class",
"precision_positive_class",
"F1 of positive class",
"precision_TVSHOW",
"seg_precision",
"rl_precision",
"weighted_precision",
"weighted-precision",
"precision_PRODUCT",
"precision_ORGANIZATION",
"precision_LOCATION",
"precision_entity_span",
"precision_PERSON",
"precision_score",
"Average_precision",
"average_precision",
"precision_at_128",
"punct_pre_precision",
"r1_precision",
"correct-precision"
],
"mAP": [
"map",
"mAP",
"MAP",
"map_50",
"map_75",
"map_coverall",
"map_Coverall",
"map_mask",
"map_Mask",
"map_line",
"map_large",
"map_small",
"map_medium",
"map_person",
"map_gloves",
"map_Gloves",
"map_Goggles",
"map_goggles",
"map_Face_Shield",
"map_face_shield",
"map_at_1",
"map_at_3",
"map_at_5",
"map_at_10",
"map_at_100",
"map_at_1000",
"mAP_small",
"mAP_medium",
"mAP_large",
"mAP_rare_classes",
"mAP_car-plates-and-these-types",
"mAP_p_p",
"mAP_n_p",
"mAP50",
"mAP50-95",
"mAP@0.5",
"mAP@0.75",
"mAP@0.5(box)",
"mAP@0.5(mask)",
"MAP@10",
"MAP@100",
"MAP@0.5",
"AP",
"AP50",
"AP75",
"APL",
"APS",
"AP-l",
"AP-m",
"AP-s",
"AP-m",
"AP-s",
"ap",
"ap50",
"aps",
"apl",
"apm",
"ap_iou_05_095_all_maxDets_100",
"ap_iou_0.50_to_0.95_all_maxDets_100",
"ap_iou_0.50_to_0.95_all",
"ar_iou_0.50_to_0.95_all_maxDets_100",
"ar_iou_05_095_all_maxDets_100",
"ap_iou_0.50_all",
"ar_iou_05_095_small_maxDets_100",
"ar_iou_0.50_to_0.95_small_maxDets_100",
"ap_iou_05_095_small_maxDets_100",
"ar_0.50_to_0.95_small_100",
"ap_iou_05_095_large_maxDets_100",
"ap_iou_075_all_maxDets_100",
"ap_iou_0.75_all",
"ar_iou_0.50_to_0.95_all_maxDets_1",
"ar_0.50_to_0.95_all_1",
"ar_0.50_to_0.95_all_100",
"ar_0.50_to_0.95_medium_100",
"ar_0.50_to_0.95_small_100",
"box-ap",
"seg_ap",
"mAR_10",
"mAR_100",
"mAR_100",
"mAR_100",
"mAR_100_line",
"mAR_100_face_shield",
"mAR_100_fracture",
"mAR_100_p_p",
"mAR_100_n_p",
"mAR_100_goggles",
"mAR_100_gloves",
"mAR_100_Mask",
"mAR_100_falciparum_trophozoite",
"mAR_100_angle",
"mAR_100_messed_up_angle"
],
"NDCG": [
"ndcg",
"NDCG",
"ndcg_at_1",
"ndcg_at_3",
"ndcg_at_5",
"ndcg_at_10",
"ndcg_at_20",
"ndcg_at_100",
"ndcg_top1",
"cosine_ndcg@10",
"dot_ndcg@10",
"AVG NDCG@10",
"avg_ndcg@10"
],
"mIOU": [
"miou",
"mIoU",
"Mean_IoU",
"Mean_Iou",
"mean_iou",
"meanBIoU",
"maxBIoU",
"eval_iou_sky",
"eval_iou_road",
"eval_iou_building",
"eval_iou_traffic_light",
"eval_iou_person",
"eval_iou_bicycle",
"eval_iou_terrain",
"eval_giou",
"iou_nature-terrain",
"iou_road-cracks",
"iou_nature-vegetation",
"iou_vehicle-car",
"iou_fruit",
"iou_room",
"iou_traffic_sign",
"iou_benign_breast_cancer",
"iou_malignant_breast_cancer",
"iou_scale_bar",
"iou_door",
"iou_bicycle",
"iou_nutrient_deficiency",
"iou_stem",
"iou_building",
"iou_waterway",
"iou_vegetation",
"iou_terrain",
"iou_sky",
"iou_room",
"iou_right",
"iou_left",
"iou_hood",
"iou_object",
"iou_sidewalk",
"iou_biotic",
"iou_ignore",
"iou_other",
"iou_water",
"iou_traversable",
"iou_crown",
"iou_torso",
"iou_weed_cluster",
"iou_wall",
"iou_leaf",
"iou_terrain",
"iou_sky",
"iou_room",
"iou_right",
"iou_left",
"iou_hood",
"iou_object",
"iou_sidewalk",
"iou_biotic",
"iou_ignore",
"iou_other",
"iou_water",
"iou_traversable",
"iou_crown",
"iou_torso",
"iou_weed_cluster",
"iou_wall",
"iou_leaf",
"iou_flat-road",
"iou_flat-sidewalk",
"iou_crack",
"iou_branch",
"iou_construction-building",
"iou_floor",
"iou_traffic_light",
"iou_manhattan",
"iou_nutrient_deficiency",
"iou_no_text",
"iou_left",
"iou_euclidean",
"iou_not_graf",
"iou_sidewalk",
"iou_cosinus",
"iou_unlabeled",
"iou_other",
"iou_wrinkle",
"iou_plant_skip",
"iou_door",
"iou_vehicle-cartrailer",
"iou_fallo_cohesivo",
"iou_fallo_adhesivo",
"iou_fallo_malla",
"iou_scale_bar",
"iou_graf",
"iou_non-traversable",
"CharadesSTA_mIoU",
"CharadesSTA/mIoU",
"CharadesSTA-mIoU",
"RefCOCO_RES_val_mIoU",
"Refcoco_RES_val_mIoU",
"Refcoco_RES.val_mIoU",
"Refcoco_RES-val-mIoU",
"Refcoco_RES_val_mIoU",
"mious validation refcoco/refcoco+/refcocog"
],
"CIDEr": [
"CIDEr",
"Cider",
"cider",
"cider_d",
"cider test",
"CIDEr test",
"cider dev en/avg-34/avg",
"CIDEr dev avg-34/avg",
"NoCaps val CIDEr",
"NoCaps-val-CIDEr",
"TextCaps-val-CIDEr",
"TextCaps.val_CIDEr",
"textcaps.val_cider",
"Coco",
"coco_cap.test_cider",
"COCO_Cap_test_CIDEr",
"COCO-Cap-test-CIDEr",
"COCO_Caption_Karpathy_test_CIDEr",
"flickr_cider",
"NoCaps_val_CIDEr",
"TextCaps_val_CIDEr",
"cider dev en/avg-34/avg",
"CIDEr dev avg-34/avg"
],
"Rouge": [
"ROUGE",
"rouge",
"rougue",
"rougueL",
"rougue-L",
"rougueL-f",
"rougueLsum",
"rougelsum",
"rouge1",
"rouge-1",
"rouge1-f",
"rouge1-f1",
"rouge1-p",
"rouge1-recall",
"rouge2",
"rouge-2",
"rouge2-f1",
"rouge2-p",
"rouge2-precision",
"rouge2-recall",
"rougeL",
"rouge-L",
"rougeL-f",
"rougeL-mid-fmeasure",
"rougeL-p",
"rougeL-precision",
"rougeL-recall",
"rougeLsum",
"rouge-l",
"rouge_score",
"micro_avg/rougeL",
"rougelsum",
"rouge-L-SUM",
"ROUGE-1",
"ROUGE-2"
],
"BLEU": [
"BLEU",
"bleu",
"bleu4",
"bleu",
"BLEU-4",
"BLEU@4",
"sacrebleu",
"sacreBLEU",
"sacrebleu-1",
"sacrebleu-2",
"sacrebleu-3",
"sacrebleu-4"
],
"WER/CER": [
"WER",
"wer",
"WER_with_LM",
"wer_with_lm",
"wer+lm",
"wer (+LM)",
"wer P&C",
"wer_normalized",
"wer_without_norm",
"clean_wer",
"clean_cer",
"cer",
"CER",
"cer (+LM)",
"CER_with_LM",
"CER",
"clean_cer",
"clean_wer"
],
"AUPRC/AUC-ROC/AUC": [
"AUPRC",
"AUC-ROC",
"AUC",
"AUC",
"auc",
"auroc",
"AUC-ROC",
"AUC",
"auc_macro",
"auc_micro",
"auc-roc",
"Cats Macro AUC"
],
"Hallucination Metrics": [
"hallucination",
"Hallusion",
"HallusionBench",
"HallusionBenchAvg",
"HallBench",
"HallBenchavg",
"HallBench-avg",
"HallBench_avg",
"hallbench_avg",
"HallBench_avg",
"hallbenchavg",
"hallbench-avg",
"hallbench_avg_score",
"HallusionBenchAvg",
"HallusionBench"
],
"Spearman Correlation": [
"spearman",
"Spearman",
"spearman_manhattan",
"spearman_cosine",
"spearman_rank_correlation",
"spearman_correlation_coefficient",
"spearman_euclidean",
"spearman_dot",
"spearman_pearson",
"eucledian_spearman",
"pearson_spearman",
"Cosine Spearman",
"Dot Spearman",
"Manhattan Spearman",
"Euclidean Spearman",
"Dot_Spearman",
"Manhattan_Spearman",
"Euclidean_Spearman",
"Spearman_correlation_coefficient",
"pearsonr/f1",
"pearsonr",
"pearsons_r",
"Pearsons'r",
"Pearson/Spearman",
"Pearson Correlation",
"Pearson Correlation",
"Pearson_Correlation",
"Pearson_correlation_coefficient",
"pearson_correlation",
"pearson_correlation_coefficient",
"pearson_manhattan",
"pearson_euclidean",
"pearson_dot",
"Cosine Pearson",
"Dot Pearson",
"Euclidean Pearson",
"Manhattan Pearson",
"Euclidean_Pearson",
"Manhattan_Pearson"
],
"Cosine Similarity": [
"cosine_accuracy",
"cosine_accuracy@1",
"cosine_accuracy@2",
"cosine_accuracy@3",
"cosine_accuracy@5",
"cosine_accuracy@10",
"cosine_precision",
"cosine_precision@3",
"cosine_precision@10",
"cosine_recall",
"cosine_recall@1",
"cosine_recall@2",
"cosine_recall@3",
"cosine_recall@5",
"cosine_recall@10",
"cos_sim_accuracy",
"cos_sim_f1",
"cos_sim_precision",
"cos_sim_recall",
"cos_sim-MRR@10",
"cos_sim_ap",
"cosine_ndcg@10",
"cosine_map@100",
"Cosine Pearson",
"Cosine Spearman",
"Cosine_Pearson",
"Cosine_Spearman",
"cosine-similarity",
"chroma_cosine_similarity"
],
"Exact Match": [
"em",
"EM",
"exact-match",
"exact_accuracy",
"exact_str_match",
"exact_set-match",
"exact_accuracy",
"exact-set-match",
"Extact Match",
"exact_match",
"fncall-em",
"fncall_em",
"no_ans_exact",
"noanswer_f1",
"no_ans_f1",
"noanswer_f1"
],
"MRR": [
"MRR",
"mrr",
"MRR@1",
"MRR@3",
"MRR@5",
"MRR@10",
"MRR@100",
"mrr_at_1",
"mrr_at_3",
"mrr_at_5",
"mrr_at_10",
"mrr_at_100",
"dot_mrr@10",
"dot_score-MRR@10",
"cos_sim-MRR@10"
],
"FAD/FID": [
"FID",
"FAD",
"fID",
"fid",
"FID_score",
"FID_CLIP",
"Frechet Audio Distance",
"frechet_audio_distance"
],
"PSNR/SSIM": [
"PSNR",
"PSNR",
"SSIM",
"SSIM"
],
"STOI/PESQ/SI-SNR": [
"STOI",
"stoi",
"STOI",
"stoi",
"pesq",
"PESQ",
"test pesq",
"test_pesq",
"SI-SNR",
"si-snr",
"si_snr",
"sisnr",
"si-snri",
"si_sdr_imp",
"sir_imp",
"sdr",
"SDR",
"sdr'",
"sdr-i",
"sdr_imp",
"vocals_sdr",
"accompaniment_sdr",
"SDRi",
"SI-SNRi",
"test si-snri",
"test si-sdri",
"test si-snr",
"test_si-snr",
"test_si-sdri",
"test_si-snri"
]
}