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

billsum.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
+"""BillSum Dataset."""
+
+from __future__ import absolute_import, division, print_function
+
+import json
+import os
+
+import datasets
+
+
+_CITATION = """
+@misc{kornilova2019billsum,
+    title={BillSum: A Corpus for Automatic Summarization of US Legislation},
+    author={Anastassia Kornilova and Vlad Eidelman},
+    year={2019},
+    eprint={1910.00523},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+"""
+
+_DESCRIPTION = """
+BillSum, summarization of US Congressional and California state bills.
+
+There are several features:
+  - text: bill text.
+  - summary: summary of the bills.
+  - title: title of the bills.
+features for us bills. ca bills does not have.
+  - text_len: number of chars in text.
+  - sum_len: number of chars in summary.
+"""
+
+_URL = "https://drive.google.com/uc?export=download&id=1g89WgFHMRbr4QrvA0ngh26PY081Nv3lx"
+
+_DOCUMENT = "text"
+_SUMMARY = "summary"
+
+
+class Billsum(datasets.GeneratorBasedBuilder):
+    """BillSum Dataset."""
+
+    # 2.0.0 data source updated to filter near duplicates.
+    # 3.0.0  none of the test examples are 'near duplicates' of an example in the
+    #   train set AND they dont have the same title, regardless of similarity.
+    VERSION = datasets.Version("3.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    _DOCUMENT: datasets.Value("string"),
+                    _SUMMARY: datasets.Value("string"),
+                    "title": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=(_DOCUMENT, _SUMMARY),
+            homepage="https://github.com/FiscalNote/BillSum",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        dl_path = dl_manager.download_and_extract(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"path": os.path.join(dl_path, "us_train_data_final_OFFICIAL.jsonl"), "key": "bill_id"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"path": os.path.join(dl_path, "us_test_data_final_OFFICIAL.jsonl"), "key": "bill_id"},
+            ),
+            datasets.SplitGenerator(
+                name="ca_test",
+                gen_kwargs={"path": os.path.join(dl_path, "ca_test_data_final_OFFICIAL.jsonl"), "key": "external_id"},
+            ),
+        ]
+
+    def _generate_examples(self, path=None, key=None):
+        """Yields examples."""
+        with open(path, encoding="utf-8") as f:
+            for line in f:
+                # in us bills, json has fields:
+                #   text, summary, title, bill_id, text_len, sum_len
+                # in ca bills, json has fields:
+                #   text, summary, title, external_id
+                d = json.loads(line)
+                yield d[key], {k: d[k] for k in [_DOCUMENT, _SUMMARY, "title"]}

dataset_infos.json

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+{"default": {"description": "\nBillSum, summarization of US Congressional and California state bills.\n\nThere are several features:\n  - text: bill text.\n  - summary: summary of the bills.\n  - title: title of the bills.\nfeatures for us bills. ca bills does not have.\n  - text_len: number of chars in text.\n  - sum_len: number of chars in summary.\n", "citation": "\n@misc{kornilova2019billsum,\n    title={BillSum: A Corpus for Automatic Summarization of US Legislation},\n    author={Anastassia Kornilova and Vlad Eidelman},\n    year={2019},\n    eprint={1910.00523},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/FiscalNote/BillSum", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}}, "supervised_keys": {"input": "text", "output": "summary"}, "builder_name": "billsum", "config_name": "default", "version": {"version_str": "3.0.0", "description": null, "datasets_version_to_prepare": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"ca_test": {"name": "ca_test", "num_bytes": 14945923, "num_examples": 1237, "dataset_name": "billsum"}, "test": {"name": "test", "num_bytes": 37867905, "num_examples": 3269, "dataset_name": "billsum"}, "train": {"name": "train", "num_bytes": 219605578, "num_examples": 18949, "dataset_name": "billsum"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1g89WgFHMRbr4QrvA0ngh26PY081Nv3lx": {"num_bytes": 67260676, "checksum": "5a55dfb231618d63b25cec4773280a2986d38f53d6d4d39b8256b278edf1110c"}}, "download_size": 67260676, "dataset_size": 272419406, "size_in_bytes": 339680082}}

dummy/3.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a3762d779e1816b59cbacc0d291d9ea7d4456d9db527fe13d1bc1685fda4c904
+size 1113