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 |