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": "\nGAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of \n(ambiguous pronoun, antecedent name), sampled from Wikipedia and released by \nGoogle AI Language for the evaluation of coreference resolution in practical \napplications.\n", "citation": "\n@article{DBLP:journals/corr/abs-1810-05201,\n  author    = {Kellie Webster and\n               Marta Recasens and\n               Vera Axelrod and\n               Jason Baldridge},\n  title     = {Mind the {GAP:} {A} Balanced Corpus of Gendered Ambiguous Pronouns},\n  journal   = {CoRR},\n  volume    = {abs/1810.05201},\n  year      = {2018},\n  url       = {http://arxiv.org/abs/1810.05201},\n  archivePrefix = {arXiv},\n  eprint    = {1810.05201},\n  timestamp = {Tue, 30 Oct 2018 20:39:56 +0100},\n  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1810-05201},\n  bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n", "homepage": "https://github.com/google-research-datasets/gap-coreference", "license": "", "features": {"ID": {"dtype": "string", "id": null, "_type": "Value"}, "Text": {"dtype": "string", "id": null, "_type": "Value"}, "Pronoun": {"dtype": "string", "id": null, "_type": "Value"}, "Pronoun-offset": {"dtype": "int32", "id": null, "_type": "Value"}, "A": {"dtype": "string", "id": null, "_type": "Value"}, "A-offset": {"dtype": "int32", "id": null, "_type": "Value"}, "A-coref": {"dtype": "bool", "id": null, "_type": "Value"}, "B": {"dtype": "string", "id": null, "_type": "Value"}, "B-offset": {"dtype": "int32", "id": null, "_type": "Value"}, "B-coref": {"dtype": "bool", "id": null, "_type": "Value"}, "URL": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "gap", "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": 1093462, "num_examples": 2000, "dataset_name": "gap"}, "train": {"name": "train", "num_bytes": 1098623, "num_examples": 2000, "dataset_name": "gap"}, "validation": {"name": "validation", "num_bytes": 249013, "num_examples": 454, "dataset_name": "gap"}}, "download_checksums": {"https://raw.githubusercontent.com/google-research-datasets/gap-coreference/master/gap-development.tsv": {"num_bytes": 1080993, "checksum": "b9a01434fcf58d8c2f9bc762480c27e58ce466cf1ffe8b09cfecbc7a20d2d634"}, "https://raw.githubusercontent.com/google-research-datasets/gap-coreference/master/gap-validation.tsv": {"num_bytes": 245089, "checksum": "2d784f66b390404f554704b9aef6dcde8845e79dda9886b8391cf7e9a24fdb98"}, "https://raw.githubusercontent.com/google-research-datasets/gap-coreference/master/gap-test.tsv": {"num_bytes": 1075889, "checksum": "1c35e36d5b14f6313ec3f6cd67b275de282595dd59e59390e00cfff9897a6819"}}, "download_size": 2401971, "dataset_size": 2441098, "size_in_bytes": 4843069}}

dummy/0.1.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:df74b24abe62f550c68c404b3ce7064ad0c4b6aa2d2bd9df3cef0e6089d58fef
+size 1415

gap.py

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+# coding=utf-8
+# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Lint as: python3
+"""GAP is a gender-balanced text data set."""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+
+import datasets
+
+
+_CITATION = """
+@article{DBLP:journals/corr/abs-1810-05201,
+  author    = {Kellie Webster and
+               Marta Recasens and
+               Vera Axelrod and
+               Jason Baldridge},
+  title     = {Mind the {GAP:} {A} Balanced Corpus of Gendered Ambiguous Pronouns},
+  journal   = {CoRR},
+  volume    = {abs/1810.05201},
+  year      = {2018},
+  url       = {http://arxiv.org/abs/1810.05201},
+  archivePrefix = {arXiv},
+  eprint    = {1810.05201},
+  timestamp = {Tue, 30 Oct 2018 20:39:56 +0100},
+  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1810-05201},
+  bibsource = {dblp computer science bibliography, https://dblp.org}
+}
+"""
+
+_DESCRIPTION = """
+GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of
+(ambiguous pronoun, antecedent name), sampled from Wikipedia and released by
+Google AI Language for the evaluation of coreference resolution in practical
+applications.
+"""
+
+_TRAINURL = "https://raw.githubusercontent.com/google-research-datasets/gap-coreference/master/gap-development.tsv"
+_VALIDATIONURL = "https://raw.githubusercontent.com/google-research-datasets/gap-coreference/master/gap-validation.tsv"
+_TESTURL = "https://raw.githubusercontent.com/google-research-datasets/gap-coreference/master/gap-test.tsv"
+
+
+class Gap(datasets.GeneratorBasedBuilder):
+    """GAP is a gender-balanced dataset.
+
+    It contains 8,908 coreference-labeled pairs
+    of (ambiguous pronoun, antecedent name), sampled from Wikipedia.
+    """
+
+    VERSION = datasets.Version("0.1.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "ID": datasets.Value("string"),
+                    "Text": datasets.Value("string"),
+                    "Pronoun": datasets.Value("string"),
+                    "Pronoun-offset": datasets.Value("int32"),
+                    "A": datasets.Value("string"),
+                    "A-offset": datasets.Value("int32"),
+                    "A-coref": datasets.Value("bool"),
+                    "B": datasets.Value("string"),
+                    "B-offset": datasets.Value("int32"),
+                    "B-coref": datasets.Value("bool"),
+                    "URL": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/google-research-datasets/gap-coreference",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        directory = dl_manager.download_and_extract(
+            {"train": _TRAINURL, "validation": _VALIDATIONURL, "test": _TESTURL}
+        )
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": directory["train"]},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": directory["validation"]},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": directory["test"]},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, encoding="utf-8") as tsvfile:
+            reader = csv.DictReader(tsvfile, dialect="excel-tab")
+            for i, row in enumerate(reader):
+                row["A-coref"] = bool(row["A-coref"])
+                row["B-coref"] = bool(row["B-coref"])
+                row["A-offset"] = int(row["A-offset"])
+                row["B-offset"] = int(row["B-offset"])
+                row["Pronoun-offset"] = int(row["Pronoun-offset"])
+                yield i, row