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José Manuel befe6c1601
Added parameter trust_remote_code to hf dataset call. (#2013) 
* Added parameter trust_remote_code to hf dataset call.

* Removed test modul as it may break causing false negatives.
Set default trust_remote_code to false.
Added an example that highlights the usecase.
 		2024-07-17 16:40:23 -05:00
..
examples Added parameter trust_remote_code to hf dataset call. (#2013) 2024-07-17 16:40:23 -05:00
src Added parameter trust_remote_code to hf dataset call. (#2013) 2024-07-17 16:40:23 -05:00
tests/data [refactor] Move burn crates to their own crates directory (#1336) 2024-02-20 13:57:55 -05:00
Cargo.toml Fix `DataSerialize` conversion for elements of the same type (#1832) 2024-05-28 18:12:44 -04:00
LICENSE-APACHE Update licenses symlinks (#1613) 2024-04-12 14:43:58 -04:00
LICENSE-MIT Update licenses symlinks (#1613) 2024-04-12 14:43:58 -04:00
README.md [refactor] Move burn crates to their own crates directory (#1336) 2024-02-20 13:57:55 -05:00

README.md

Burn Dataset

Burn dataset library

Current Crates.io Version license

The Burn Dataset library is designed to streamline your machine learning (ML) data pipeline creation process. It offers a variety of dataset implementations, transformation functions, and data sources.

Feature Flags

  • audio - enables audio dataset (SpeechCommandsDataset). Run the following example to try it out:

    cargo run --example speech_commands --features audio