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": "The Quora dataset is composed of question pairs, and the task is to determine if the questions are paraphrases of each other (have the same meaning).", "citation": "", "homepage": "https://www.kaggle.com/c/quora-question-pairs", "license": "", "features": {"questions": {"feature": {"id": {"dtype": "int32", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "is_duplicate": {"dtype": "bool", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "quora", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 58155622, "num_examples": 404290, "dataset_name": "quora"}}, "download_checksums": {"http://qim.fs.quoracdn.net/quora_duplicate_questions.tsv": {"num_bytes": 58176133, "checksum": "b3350dbb1d98db1f5abca85d736ba514bf4da253fae53939303d79fe921ec7c8"}}, "download_size": 58176133, "dataset_size": 58155622, "size_in_bytes": 116331755}}

dummy/0.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5d1bb66a5b3f14e31d1c04a3f37cbb0c69aac32aa9b906053d71e55b56aa8779
+size 326

quora.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
+"""Quora question pairs data"""
+
+from __future__ import absolute_import, division, print_function
+
+import csv
+
+import datasets
+
+
+_DESCRIPTION = "The Quora dataset is composed of question pairs, and the task is to determine if the questions are paraphrases of each other (have the same meaning)."
+
+_URL = "http://qim.fs.quoracdn.net/quora_duplicate_questions.tsv"
+
+
+class Quora(datasets.GeneratorBasedBuilder):
+    """Quora Question Pairs dataset"""
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "questions": datasets.features.Sequence(
+                        {
+                            "id": datasets.Value("int32"),
+                            "text": datasets.Value("string"),
+                        }
+                    ),
+                    "is_duplicate": datasets.Value("bool"),
+                }
+            ),
+            homepage="https://www.quora.com/q/quoradata/First-Quora-Dataset-Release-Question-Pairs",
+        )
+
+    def _split_generators(self, dl_manager):
+        data_file = dl_manager.download_and_extract({"data_file": _URL})
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs=data_file)]
+
+    def _generate_examples(self, data_file):
+        with open(data_file, encoding="utf-8") as f:
+            data = csv.DictReader(f, delimiter="\t")
+            for idx, row in enumerate(data):
+                yield idx, {
+                    "questions": [
+                        {"id": row["qid1"], "text": row["question1"]},
+                        {"id": row["qid2"], "text": row["question2"]},
+                    ],
+                    "is_duplicate": row["is_duplicate"] == "1",
+                }