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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 21:27:34 2025
md5 checksum cc41ea5ff835398969d15f9dac1662dc
arch x86_64
build py310h06a4308_0
depends aiohttp, dill <0.3.7, fsspec >=2021.11.1, huggingface_hub >=0.2.0,<1.0.0, multiprocess, numpy >=1.17,<2.0a0, packaging, pandas, pyarrow >=6.0.0, python >=3.10,<3.11.0a0, python-xxhash, pyyaml >=5.1, requests >=2.19.0, responses <0.19, tqdm >=4.62.1
license Apache-2.0
license_family Apache
md5 cc41ea5ff835398969d15f9dac1662dc
name datasets
platform linux
sha1 e3789803e4a593429072ec146a2e6c67a8f26022
sha256 e2bb2e2a2247efde2d1ee034f9deed523d218168676e5fd5f2f418a1b415043e
size 607041
subdir linux-64
timestamp 1668181601248
version 2.6.1