Convert dataset to Parquet

README.md

@@ -18,19 +18,6 @@ task_categories:
 task_ids: []
 paperswithcode_id: billsum
 pretty_name: BillSum
-train-eval-index:
-- config: default
-  task: summarization
-  task_id: summarization
-  splits:
-    train_split: train
-    eval_split: test
-  col_mapping:
-    text: text
-    summary: target
-  metrics:
-  - type: rouge
-    name: Rouge
 tags:
 - bills-summarization
 dataset_info:
@@ -51,8 +38,30 @@ dataset_info:
   - name: ca_test
     num_bytes: 14945291
     num_examples: 1237
-  download_size: 67260676
+  download_size: 113729382
   dataset_size: 272407638
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+  - split: ca_test
+    path: data/ca_test-*
+train-eval-index:
+- config: default
+  task: summarization
+  task_id: summarization
+  splits:
+    train_split: train
+    eval_split: test
+  col_mapping:
+    text: text
+    summary: target
+  metrics:
+  - type: rouge
+    name: Rouge
 ---
 
 # Dataset Card for "billsum"

billsum.py

@@ -1,108 +0,0 @@
-# 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."""
-
-
-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"
-
-_LICENSE = "CC0"
-
-_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,
-            license=_LICENSE,
-            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"]}

data/ca_test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+size 6121191

data/test-00000-of-00001.parquet

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+size 15797079

data/train-00000-of-00001.parquet

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+oid sha256:7ca4e515ad7502ef579a055c2d64e6dfa0d64200017c15bca00f323a34cd2ae3
+size 91811112

dataset_infos.json

@@ -1 +0,0 @@
-{"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": "CC0", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "text", "output": "summary"}, "task_templates": null, "builder_name": "billsum", "config_name": "default", "version": {"version_str": "3.0.0", "description": null, "major": 3, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 219596090, "num_examples": 18949, "dataset_name": "billsum"}, "test": {"name": "test", "num_bytes": 37866257, "num_examples": 3269, "dataset_name": "billsum"}, "ca_test": {"name": "ca_test", "num_bytes": 14945291, "num_examples": 1237, "dataset_name": "billsum"}}, "download_checksums": {"https://drive.google.com/uc?export=download&id=1g89WgFHMRbr4QrvA0ngh26PY081Nv3lx": {"num_bytes": 67260676, "checksum": "5a55dfb231618d63b25cec4773280a2986d38f53d6d4d39b8256b278edf1110c"}}, "download_size": 67260676, "post_processing_size": null, "dataset_size": 272407638, "size_in_bytes": 339668314}}