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Update files from the datasets library (from 1.0.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.0.0

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  1. .gitattributes +27 -0
  2. dataset_infos.json +1 -0
  3. dummy/0.1.0/dummy_data.zip +3 -0
  4. x_stance.py +111 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bin.* filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.ot filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.zstandard filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
dataset_infos.json ADDED
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+ {"default": {"description": "The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions.\n\nIt can be used to train and evaluate stance detection systems.\n\n", "citation": "@inproceedings{vamvas2020xstance,\n author = \"Vamvas, Jannis and Sennrich, Rico\",\n title = \"{X-Stance}: A Multilingual Multi-Target Dataset for Stance Detection\",\n booktitle = \"Proceedings of the 5th Swiss Text Analytics Conference (SwissText) \\& 16th Conference on Natural Language Processing (KONVENS)\",\n address = \"Zurich, Switzerland\",\n year = \"2020\",\n month = \"jun\",\n url = \"http://ceur-ws.org/Vol-2624/paper9.pdf\"\n}\n", "homepage": "https://github.com/ZurichNLP/xstance", "license": "", "features": {"question": {"dtype": "string", "id": null, "_type": "Value"}, "id": {"dtype": "int32", "id": null, "_type": "Value"}, "question_id": {"dtype": "int32", "id": null, "_type": "Value"}, "language": {"dtype": "string", "id": null, "_type": "Value"}, "comment": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"dtype": "string", "id": null, "_type": "Value"}, "numerical_label": {"dtype": "int32", "id": null, "_type": "Value"}, "author": {"dtype": "string", "id": null, "_type": "Value"}, "topic": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "x_stance", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 17619123, "num_examples": 45640, "dataset_name": "x_stance"}, "test": {"name": "test", "num_bytes": 6607134, "num_examples": 17705, "dataset_name": "x_stance"}, "validation": {"name": "validation", "num_bytes": 1505979, "num_examples": 3926, "dataset_name": "x_stance"}}, "download_checksums": {"https://github.com/ZurichNLP/xstance/raw/v1.0.0/data/xstance-data-v1.0.zip": {"num_bytes": 6410801, "checksum": "b8d0168f1897880ccbcb27946e0b2e45de9ac17bc048daad84949fcfe4351768"}}, "download_size": 6410801, "dataset_size": 25732236, "size_in_bytes": 32143037}}
dummy/0.1.0/dummy_data.zip ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:8637809d7a081908d7e394f4acdee2382cb20744370502a3be3b9aaa026243f8
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+ size 2317
x_stance.py ADDED
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+ """TODO(x_stance): Add a description here."""
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+
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+ from __future__ import absolute_import, division, print_function
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+
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+ import json
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+ import os
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+
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+ import datasets
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+
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+
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+ # TODO(x_stance): BibTeX citation
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+ _CITATION = """\
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+ @inproceedings{vamvas2020xstance,
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+ author = "Vamvas, Jannis and Sennrich, Rico",
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+ title = "{X-Stance}: A Multilingual Multi-Target Dataset for Stance Detection",
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+ booktitle = "Proceedings of the 5th Swiss Text Analytics Conference (SwissText) \\& 16th Conference on Natural Language Processing (KONVENS)",
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+ address = "Zurich, Switzerland",
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+ year = "2020",
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+ month = "jun",
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+ url = "http://ceur-ws.org/Vol-2624/paper9.pdf"
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+ }
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+ """
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+
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+ # TODO(x_stance):
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+ _DESCRIPTION = """\
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+ The x-stance dataset contains more than 150 political questions, and 67k comments written by candidates on those questions.
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+
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+ It can be used to train and evaluate stance detection systems.
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+
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+ """
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+
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+ _URL = "https://github.com/ZurichNLP/xstance/raw/v1.0.0/data/xstance-data-v1.0.zip"
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+
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+
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+ class XStance(datasets.GeneratorBasedBuilder):
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+ """TODO(x_stance): Short description of my dataset."""
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+
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+ # TODO(x_stance): Set up version.
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+ VERSION = datasets.Version("0.1.0")
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+
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+ def _info(self):
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+ # TODO(x_stance): Specifies the datasets.DatasetInfo object
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+ return datasets.DatasetInfo(
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+ # This is the description that will appear on the datasets page.
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+ description=_DESCRIPTION,
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+ # datasets.features.FeatureConnectors
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+ features=datasets.Features(
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+ {
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+ "question": datasets.Value("string"),
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+ "id": datasets.Value("int32"),
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+ "question_id": datasets.Value("int32"),
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+ "language": datasets.Value("string"),
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+ "comment": datasets.Value("string"),
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+ "label": datasets.Value("string"),
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+ "numerical_label": datasets.Value("int32"),
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+ "author": datasets.Value("string"),
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+ "topic": datasets.Value("string")
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+ # These are the features of your dataset like images, labels ...
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+ }
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+ ),
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+ # If there's a common (input, target) tuple from the features,
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+ # specify them here. They'll be used if as_supervised=True in
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+ # builder.as_dataset.
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+ supervised_keys=None,
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+ # Homepage of the dataset for documentation
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+ homepage="https://github.com/ZurichNLP/xstance",
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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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+ # TODO(x_stance): Downloads the data and defines the splits
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+ # dl_manager is a datasets.download.DownloadManager that can be used to
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+ # download and extract URLs
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+ dl_dir = dl_manager.download_and_extract(_URL)
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN,
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+ # These kwargs will be passed to _generate_examples
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+ gen_kwargs={"filepath": os.path.join(dl_dir, "train.jsonl")},
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+ ),
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TEST,
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+ # These kwargs will be passed to _generate_examples
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+ gen_kwargs={"filepath": os.path.join(dl_dir, "test.jsonl")},
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+ ),
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+ datasets.SplitGenerator(
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+ name=datasets.Split.VALIDATION,
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+ # These kwargs will be passed to _generate_examples
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+ gen_kwargs={"filepath": os.path.join(dl_dir, "valid.jsonl")},
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+ ),
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+ ]
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+
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+ def _generate_examples(self, filepath):
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+ """Yields examples."""
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+ # TODO(x_stance): Yields (key, example) tuples from the dataset
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+ with open(filepath, encoding="utf-8") as f:
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+ for id_, row in enumerate(f):
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+ data = json.loads(row)
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+
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+ yield id_, {
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+ "id": data["id"],
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+ "question_id": data["question_id"],
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+ "question": data["question"],
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+ "comment": data["comment"],
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+ "label": data["label"],
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+ "author": data["author"],
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+ "numerical_label": data["numerical_label"],
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+ "topic": data["topic"],
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+ "language": data["language"],
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+ }