Update files from the datasets library (from 1.0.0)

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

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

dataset_infos.json

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+{"default": {"description": "A dataset reducing relation extraction to simple reading comprehension questions\n", "citation": "@inproceedings{levy-etal-2017-zero,\n    title = \"Zero-Shot Relation Extraction via Reading Comprehension\",\n    author = \"Levy, Omer  and\n      Seo, Minjoon  and\n      Choi, Eunsol  and\n      Zettlemoyer, Luke\",\n    booktitle = \"Proceedings of the 21st Conference on Computational Natural Language Learning ({C}o{NLL} 2017)\",\n    month = aug,\n    year = \"2017\",\n    address = \"Vancouver, Canada\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/K17-1034\",\n    doi = \"10.18653/v1/K17-1034\",\n    pages = \"333--342\",\n}\n", "homepage": "http://nlp.cs.washington.edu/zeroshot", "license": "", "features": {"relation": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "subject": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "supervised_keys": null, "builder_name": "qa_zre", "config_name": "default", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 29410194, "num_examples": 120000, "dataset_name": "qa_zre"}, "validation": {"name": "validation", "num_bytes": 1481430, "num_examples": 6000, "dataset_name": "qa_zre"}, "train": {"name": "train", "num_bytes": 2054954011, "num_examples": 8400000, "dataset_name": "qa_zre"}}, "download_checksums": {"http://nlp.cs.washington.edu/zeroshot/relation_splits.tar.bz2": {"num_bytes": 516061636, "checksum": "e33d0e367b6e837370da17a2d09d217e0a92f8d180f7abb3fd543a2d1726b2b4"}}, "download_size": 516061636, "dataset_size": 2085845635, "size_in_bytes": 2601907271}}

dummy/0.1.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4bcada04416b17bd18bb40d960aa6133a93e5e03de793b8c218672e7eb607e81
+size 10404

qa_zre.py

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+"""A dataset reducing relation extraction to simple reading comprehension questions"""
+from __future__ import absolute_import, division, print_function
+
+import csv
+import os
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{levy-etal-2017-zero,
+    title = "Zero-Shot Relation Extraction via Reading Comprehension",
+    author = "Levy, Omer  and
+      Seo, Minjoon  and
+      Choi, Eunsol  and
+      Zettlemoyer, Luke",
+    booktitle = "Proceedings of the 21st Conference on Computational Natural Language Learning ({C}o{NLL} 2017)",
+    month = aug,
+    year = "2017",
+    address = "Vancouver, Canada",
+    publisher = "Association for Computational Linguistics",
+    url = "https://www.aclweb.org/anthology/K17-1034",
+    doi = "10.18653/v1/K17-1034",
+    pages = "333--342",
+}
+"""
+
+_DESCRIPTION = """\
+A dataset reducing relation extraction to simple reading comprehension questions
+"""
+
+_DATA_URL = "http://nlp.cs.washington.edu/zeroshot/relation_splits.tar.bz2"
+
+
+class QaZre(datasets.GeneratorBasedBuilder):
+    """QA-ZRE: Reducing relation extraction to simple reading comprehension questions"""
+
+    VERSION = datasets.Version("0.1.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "relation": datasets.Value("string"),
+                    "question": datasets.Value("string"),
+                    "subject": datasets.Value("string"),
+                    "context": datasets.Value("string"),
+                    "answers": datasets.features.Sequence(datasets.Value("string")),
+                }
+            ),
+            # If there's a common (input, target) tuple from the features,
+            # specify them here. They'll be used if as_supervised=True in
+            # builder.as_dataset.
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage="http://nlp.cs.washington.edu/zeroshot",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        dl_dir = dl_manager.download_and_extract(_DATA_URL)
+        dl_dir = os.path.join(dl_dir, "relation_splits")
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepaths": [os.path.join(dl_dir, "test." + str(i)) for i in range(10)],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepaths": [os.path.join(dl_dir, "dev." + str(i)) for i in range(10)],
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepaths": [os.path.join(dl_dir, "train." + str(i)) for i in range(10)],
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepaths):
+        """Yields examples."""
+
+        for filepath in filepaths:
+            with open(filepath, encoding="utf-8") as f:
+                data = csv.reader(f, delimiter="\t")
+                for idx, row in enumerate(data):
+                    yield idx, {
+                        "relation": row[0],
+                        "question": row[1],
+                        "subject": row[2],
+                        "context": row[3],
+                        "answers": row[4:],
+                    }