# This file created by conda-build 3.24.0
# meta.yaml template originally from:
# /feedstock/recipe, last modified Fri May 19 07:55:23 2023
# ------------------------------------------------

package:
  name: datasets
  version: 2.12.0
source:
  sha256: faf164c18a41bea51df3f369e872f8be5b84c12ea5f6393c3896f56038af1ea3
  url: https://pypi.io/packages/source/d/datasets/datasets-2.12.0.tar.gz
build:
  entry_points:
    - datasets-cli=datasets.commands.datasets_cli:main
  number: '0'
  script: /croot/datasets_1684482929171/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehol/bin/python
    -m pip install . --no-deps --no-build-isolation --ignore-installed -vv
  string: py311h06a4308_0
requirements:
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - bzip2 1.0.8 h7b6447c_0
    - ca-certificates 2023.01.10 h06a4308_0
    - ld_impl_linux-64 2.38 h1181459_1
    - libffi 3.4.4 h6a678d5_0
    - libgcc-ng 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - libuuid 1.41.5 h5eee18b_0
    - ncurses 6.4 h6a678d5_0
    - openssl 1.1.1t h7f8727e_0
    - pip 23.0.1 py311h06a4308_0
    - python 3.11.3 h7a1cb2a_0
    - readline 8.2 h5eee18b_0
    - setuptools 66.0.0 py311h06a4308_0
    - sqlite 3.41.2 h5eee18b_0
    - tk 8.6.12 h1ccaba5_0
    - tzdata 2023c h04d1e81_0
    - wheel 0.38.4 py311h06a4308_0
    - xz 5.4.2 h5eee18b_0
    - zlib 1.2.13 h5eee18b_0
  run:
    - aiohttp
    - dill >=0.3.0,<0.3.7
    - fsspec >=2021.11.1
    - huggingface_hub >=0.11.0,<1.0.0
    - multiprocess
    - numpy >=1.17
    - 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
test:
  commands:
    - pip check
    - datasets-cli --help
  imports:
    - datasets
    - datasets.commands
    - datasets.utils
  requires:
    - pip
about:
  description: '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.

    '
  dev_url: https://github.com/huggingface/datasets
  doc_url: https://huggingface.co/docs/datasets/index
  home: https://github.com/huggingface/datasets
  license: Apache-2.0
  license_family: Apache
  license_file: LICENSE
  summary: HuggingFace community-driven open-source library of datasets
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: 588152f8-8806-4c75-be21-dc5f3debb8e6
  recipe-maintainers:
    - Tata17
    - mxr-conda
    - oblute
    - thewchan
    - wietsedv
  remote_url: git@github.com:AnacondaRecipes/datasets-feedstock.git
  sha: fc0c32b7c666985a9e958d9fc39c668ff343ec68
