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 21:27:28 2025 |
md5 checksum | 2cb9f217ea11c9049860a5f749bbcdb3 |
arch | x86_64 |
build | py311h06a4308_0 |
constrains | pillow >=9.4.0, jaxlib >=0.3.14, jax >=0.3.14, soundfile >=0.12.1, tensorflow-base >=2.6.0, soxr >=5.1, apache-beam >=2.26.0 |
depends | aiohttp, dill >=0.3.0,<0.3.9, filelock, fsspec >=2023.1.0,<=2024.12.0, huggingface_hub >=0.24.0, multiprocess <0.70.17, numpy >=1.17, packaging, pandas, pyarrow >=15.0.0, python >=3.11,<3.12.0a0, python-xxhash, pyyaml >=5.1, requests >=2.32.2, tqdm >=4.66.3 |
license | Apache-2.0 |
license_family | Apache |
md5 | 2cb9f217ea11c9049860a5f749bbcdb3 |
name | datasets |
platform | linux |
sha1 | c15675e88353a4048bff988e89ad6e678f0f7b02 |
sha256 | 79f44567c4536dcf78a95612a30fc98d9e8af3c42133aa3fc8f69e50dfa2d98b |
size | 896342 |
subdir | linux-64 |
timestamp | 1741368015661 |
version | 3.3.2 |