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albertvillanova HF staff commited on
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  1. billsum.py +0 -108
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- # coding=utf-8
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- # Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
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- #
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- # Licensed under the Apache License, Version 2.0 (the "License");
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- # you may not use this file except in compliance with the License.
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- # You may obtain a copy of the License at
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- #
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- # http://www.apache.org/licenses/LICENSE-2.0
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- #
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- # Unless required by applicable law or agreed to in writing, software
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- # distributed under the License is distributed on an "AS IS" BASIS,
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- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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- # See the License for the specific language governing permissions and
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- # limitations under the License.
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-
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- # Lint as: python3
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- """BillSum Dataset."""
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-
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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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- _CITATION = """
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- @misc{kornilova2019billsum,
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- title={BillSum: A Corpus for Automatic Summarization of US Legislation},
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- author={Anastassia Kornilova and Vlad Eidelman},
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- year={2019},
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- eprint={1910.00523},
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- archivePrefix={arXiv},
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- primaryClass={cs.CL}
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- }
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- """
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-
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- _DESCRIPTION = """
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- BillSum, summarization of US Congressional and California state bills.
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-
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- There are several features:
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- - text: bill text.
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- - summary: summary of the bills.
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- - title: title of the bills.
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- features for us bills. ca bills does not have.
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- - text_len: number of chars in text.
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- - sum_len: number of chars in summary.
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- """
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-
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- _URL = "https://drive.google.com/uc?export=download&id=1g89WgFHMRbr4QrvA0ngh26PY081Nv3lx"
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-
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- _LICENSE = "CC0"
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-
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- _DOCUMENT = "text"
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- _SUMMARY = "summary"
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-
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-
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- class Billsum(datasets.GeneratorBasedBuilder):
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- """BillSum Dataset."""
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-
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- # 2.0.0 data source updated to filter near duplicates.
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- # 3.0.0 none of the test examples are 'near duplicates' of an example in the
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- # train set AND they dont have the same title, regardless of similarity.
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- VERSION = datasets.Version("3.0.0")
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-
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- def _info(self):
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- return datasets.DatasetInfo(
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- description=_DESCRIPTION,
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- license=_LICENSE,
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- features=datasets.Features(
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- {
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- _DOCUMENT: datasets.Value("string"),
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- _SUMMARY: datasets.Value("string"),
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- "title": datasets.Value("string"),
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- }
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- ),
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- supervised_keys=(_DOCUMENT, _SUMMARY),
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- homepage="https://github.com/FiscalNote/BillSum",
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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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- dl_path = 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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- gen_kwargs={"path": os.path.join(dl_path, "us_train_data_final_OFFICIAL.jsonl"), "key": "bill_id"},
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- ),
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- datasets.SplitGenerator(
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- name=datasets.Split.TEST,
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- gen_kwargs={"path": os.path.join(dl_path, "us_test_data_final_OFFICIAL.jsonl"), "key": "bill_id"},
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- ),
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- datasets.SplitGenerator(
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- name="ca_test",
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- gen_kwargs={"path": os.path.join(dl_path, "ca_test_data_final_OFFICIAL.jsonl"), "key": "external_id"},
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- ),
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- ]
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-
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- def _generate_examples(self, path=None, key=None):
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- """Yields examples."""
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- with open(path, encoding="utf-8") as f:
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- for line in f:
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- # in us bills, json has fields:
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- # text, summary, title, bill_id, text_len, sum_len
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- # in ca bills, json has fields:
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- # text, summary, title, external_id
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- d = json.loads(line)
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- yield d[key], {k: d[k] for k in [_DOCUMENT, _SUMMARY, "title"]}