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build(deps): bump datasets from 1.18.4 to 3.0.1

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Bumps [datasets](https://github.com/huggingface/datasets) from 1.18.4 to 3.0.1.
- [Release notes](https://github.com/huggingface/datasets/releases)
- [Commits](https://github.com/huggingface/datasets/compare/1.18.4...3.0.1)

---
updated-dependencies:
- dependency-name: datasets
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
This commit is contained in:
dependabot[bot]
2024-10-12 12:31:37 +00:00
committed by GitHub
parent ad683e99ae
commit cc4c0191fb
2 changed files with 27 additions and 43 deletions
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poetry.lock
Generated
+26 -42
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@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiohappyeyeballs"
@@ -486,43 +486,45 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
[[package]]
name = "datasets"
version = "1.18.4"
version = "3.0.1"
description = "HuggingFace community-driven open-source library of datasets"
optional = false
python-versions = "*"
python-versions = ">=3.8.0"
files = [
{file = "datasets-1.18.4-py3-none-any.whl", hash = "sha256:e13695ad7aeda2af4430ac1a0b62def9c4b60bb4cc14dbaa240e6683cac50c49"},
{file = "datasets-1.18.4.tar.gz", hash = "sha256:8f28a7afc2f894c68cb017335a32812f443fe41bc59c089cbd15d7412d3f7f96"},
{file = "datasets-3.0.1-py3-none-any.whl", hash = "sha256:db080aab41c8cc68645117a0f172e5c6789cbc672f066de0aa5a08fc3eebc686"},
{file = "datasets-3.0.1.tar.gz", hash = "sha256:40d63b09e76a3066c32e746d6fdc36fd3f29ed2acd49bf5b1a2100da32936511"},
]
[package.dependencies]
aiohttp = "*"
dill = "*"
fsspec = {version = ">=2021.05.0", extras = ["http"]}
huggingface-hub = ">=0.1.0,<1.0.0"
dill = ">=0.3.0,<0.3.9"
filelock = "*"
fsspec = {version = ">=2023.1.0,<=2024.6.1", extras = ["http"]}
huggingface-hub = ">=0.22.0"
multiprocess = "*"
numpy = ">=1.17"
packaging = "*"
pandas = "*"
pyarrow = ">=3.0.0,<4.0.0 || >4.0.0"
requests = ">=2.19.0"
responses = "<0.19"
tqdm = ">=4.62.1"
pyarrow = ">=15.0.0"
pyyaml = ">=5.1"
requests = ">=2.32.2"
tqdm = ">=4.66.3"
xxhash = "*"
[package.extras]
apache-beam = ["apache-beam (>=2.26.0)"]
audio = ["librosa"]
benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"]
dev = ["Pillow (>=6.2.1)", "Werkzeug (>=1.0.1)", "absl-py", "aiobotocore", "apache-beam (>=2.26.0)", "bert-score (>=0.3.6)", "black (>=22.0,<23.0)", "boto3", "botocore", "bs4", "conllu", "elasticsearch (<8.0.0)", "fairseq", "faiss-cpu (>=1.6.4)", "fastBPE (==0.1.0)", "flake8 (>=3.8.3)", "fsspec[s3]", "h5py", "importlib-resources", "isort (>=5.0.0)", "jiwer", "langdetect", "librosa", "lxml", "mauve-text", "moto[s3,server] (==2.0.4)", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "pytest", "pytest-datadir", "pytest-xdist", "pytorch-lightning", "pytorch-nlp (==0.5.0)", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "requests-file (>=1.5.1)", "rouge-score", "s3fs (==2021.08.1)", "sacrebleu", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "soundfile", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "torchaudio", "torchmetrics (==0.6.0)", "transformers", "wget (>=3.2)", "zstandard"]
docs = ["Markdown (!=3.3.5)", "docutils (==0.16.0)", "fsspec (<2021.9.0)", "myst-parser", "recommonmark", "s3fs", "sphinx (==3.1.2)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-markdown-tables", "sphinx-panels", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)"]
quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"]
s3 = ["boto3", "botocore", "fsspec", "s3fs"]
tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"]
tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
tests = ["Pillow (>=6.2.1)", "Werkzeug (>=1.0.1)", "absl-py", "aiobotocore", "apache-beam (>=2.26.0)", "bert-score (>=0.3.6)", "boto3", "botocore", "bs4", "conllu", "elasticsearch (<8.0.0)", "fairseq", "faiss-cpu (>=1.6.4)", "fastBPE (==0.1.0)", "fsspec[s3]", "h5py", "importlib-resources", "jiwer", "langdetect", "librosa", "lxml", "mauve-text", "moto[s3,server] (==2.0.4)", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "pytest", "pytest-datadir", "pytest-xdist", "pytorch-lightning", "pytorch-nlp (==0.5.0)", "rarfile (>=4.0)", "requests-file (>=1.5.1)", "rouge-score", "s3fs (==2021.08.1)", "sacrebleu", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "soundfile", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "torchaudio", "torchmetrics (==0.6.0)", "transformers", "wget (>=3.2)", "zstandard"]
audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"]
benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"]
docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"]
jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
quality = ["ruff (>=0.3.0)"]
s3 = ["s3fs"]
tensorflow = ["tensorflow (>=2.6.0)"]
tensorflow-gpu = ["tensorflow (>=2.6.0)"]
tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"]
tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"]
torch = ["torch"]
vision = ["Pillow (>=6.2.1)"]
vision = ["Pillow (>=9.4.0)"]
[[package]]
name = "dill"
@@ -2224,24 +2226,6 @@ urllib3 = ">=1.21.1,<3"
socks = ["PySocks (>=1.5.6,!=1.5.7)"]
use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "responses"
version = "0.18.0"
description = "A utility library for mocking out the `requests` Python library."
optional = false
python-versions = ">=3.7"
files = [
{file = "responses-0.18.0-py3-none-any.whl", hash = "sha256:15c63ad16de13ee8e7182d99c9334f64fd81f1ee79f90748d527c28f7ca9dd51"},
{file = "responses-0.18.0.tar.gz", hash = "sha256:380cad4c1c1dc942e5e8a8eaae0b4d4edf708f4f010db8b7bcfafad1fcd254ff"},
]
[package.dependencies]
requests = ">=2.0,<3.0"
urllib3 = ">=1.25.10"
[package.extras]
tests = ["coverage (>=6.0.0)", "flake8", "mypy", "pytest (>=4.6)", "pytest-cov", "pytest-localserver", "types-mock", "types-requests"]
[[package]]
name = "rich"
version = "13.7.1"
@@ -2840,4 +2824,4 @@ multidict = ">=4.0"
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
content-hash = "c0adb2b3f9860ed344c56d3796b251cd6170b47737557958c619386268cc24a3"
content-hash = "5ae1530cacebde112112d2f3fc4e69b2abdc8da49a55095422c94d11c6684e1f"
pyproject.toml
+1 -1
View File
@@ -33,7 +33,7 @@ loguru = "^0.7.2"
httpx = ">=0.25.1,<0.28.0"
cache-to-disk = "^2.0.0"
pandas = ">=1.4,<3.0"
datasets = "^1.14.0"
datasets = ">=1.14,<4.0"
tabulate = ">=0.8.9,<0.10.0"
colorama = "^0.4.4"
matplotlib = "^3.9.2"