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Datasets is a lightweight library providing two main features: - one-line dataloaders for many public datasets: one-liners to download and pre-process any of the number of datasets major public datasets (text datasets in 467 languages and dialects, image datasets, audio datasets, etc.) provided on the HuggingFace Datasets Hub. With a simple command like squad_dataset = load_dataset("squad"), get any of these datasets ready to use in a dataloader for training/evaluating a ML model (Numpy/Pandas/PyTorch/TensorFlow/JAX), - efficient data pre-processing: simple, fast and reproducible data pre-processing for the above public datasets as well as your own local datasets in CSV/JSON/text/PNG/JPEG/etc. With simple commands like `processed_dataset = dataset.map(process_example)`, efficiently prepare the dataset for inspection and ML model evaluation and training.

Uploaded Mon Mar 31 21:27:32 2025
md5 checksum 67fb607b3dbd6f3c353faa98eb97b486
arch x86_64
build py311h06a4308_0
depends aiohttp, dill >=0.3.0,<0.3.7, fsspec >=2021.11.1, huggingface_hub >=0.11.0,<1.0.0, multiprocess, numpy >=1.17,<2.0a0, packaging, pandas, pyarrow >=8.0.0, python >=3.11,<3.12.0a0, python-xxhash, pyyaml >=5.1, requests >=2.19.0, responses <0.19, tqdm >=4.62.1
license Apache-2.0
license_family Apache
md5 67fb607b3dbd6f3c353faa98eb97b486
name datasets
platform linux
sha1 e96a08c4b1e7520e7289d043f92543352eed52e2
sha256 e54cec96b0179e8bb617a91140980b644ed3cfbdc6328114b3559e278aad355b
size 880849
subdir linux-64
timestamp 1684482967044
version 2.12.0