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LuciaTormo commited on
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adf0267
1 Parent(s): 339a46b

Delete xnli-ca.py

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  1. xnli-ca.py +0 -90
xnli-ca.py DELETED
@@ -1,90 +0,0 @@
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- # Loading script for the XNLI-ca dataset.
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- import json
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- import datasets
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-
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- logger = datasets.logging.get_logger(__name__)
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-
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- # _CITATION = ""
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-
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- _DESCRIPTION = """
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- XNLI-ca is the Catalan professional translation of the development and test partitions of the XNLI dataset, which contain 2490 and 5010 pairs of premises and hypotheses, respectively. This dataset was translated as part of the AINA project.
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- """
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-
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- _HOMEPAGE = """https://zenodo.org/record/7973976"""
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-
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-
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- _URL = "https://huggingface.co/datasets/projecte-aina/xnli-ca/resolve/main/"
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- _DEV_FILE = "xnli.dev.ca.json"
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- _TEST_FILE = "xnli.test.ca.json"
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-
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-
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- class xnliConfig(datasets.BuilderConfig):
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- """ Builder config for the XNLI-ca dataset """
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-
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- def __init__(self, **kwargs):
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- """BuilderConfig for XNLI-ca.
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- Args:
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- **kwargs: keyword arguments forwarded to super.
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- """
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- super(xnliConfig, self).__init__(**kwargs)
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-
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-
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- class xnli(datasets.GeneratorBasedBuilder):
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- """ XNLI-ca Dataset """
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-
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- BUILDER_CONFIGS = [
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- xnliConfig(
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- name="xnli-ca",
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- version=datasets.Version("1.0.1"),
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- description="XNLI-ca dataset",
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- ),
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- ]
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-
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- def _info(self):
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- return datasets.DatasetInfo(
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- description=_DESCRIPTION,
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- features=datasets.Features(
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- {
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- "premise": datasets.Value("string"),
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- "hypothesis": datasets.Value("string"),
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- "label": datasets.features.ClassLabel
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- (names=
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- [
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- "entailment",
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- "neutral",
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- "contradiction"
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- ]
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- ),
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- }
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- ),
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- homepage=_HOMEPAGE,
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- # citation=_CITATION,
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- )
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-
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- def _split_generators(self, dl_manager):
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- """Returns SplitGenerators."""
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- urls_to_download = {
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- "dev": f"{_URL}{_DEV_FILE}",
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- "test": f"{_URL}{_TEST_FILE}",
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- }
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- downloaded_files = dl_manager.download_and_extract(urls_to_download)
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-
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- return [
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- datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
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- datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
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- ]
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-
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- def _generate_examples(self, filepath):
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- """This function returns the examples in the raw (text) form."""
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- logger.info("generating examples from = %s", filepath)
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- with open(filepath, encoding="utf-8") as f:
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- data_dict = json.load(f)
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- for id_, article in enumerate(data_dict):
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- premise = article["premise"]
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- hypothesis = article["hypothesis"]
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- label = article["label"]
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- yield id_, {
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- "premise": premise,
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- "hypothesis": hypothesis,
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- "label": label,
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- }