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README.md

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----
-annotations_creators:
-- found
-language_creators:
-- found
-language:
-- en
-license:
-- unknown
-multilinguality:
-- monolingual
-pretty_name: Extreme Summarization (XSum)
-paperswithcode_id: xsum
-size_categories:
-- 100K<n<1M
-source_datasets:
-- original
-task_categories:
-- summarization
-task_ids:
-- news-articles-summarization
-train-eval-index:
-- config: default
-  task: summarization
-  task_id: summarization
-  splits:
-    train_split: train
-    eval_split: test
-  col_mapping:
-    document: text
-    summary: target
-  metrics:
-  - type: rouge
-    name: Rouge
-dataset_info:
-  features:
-  - name: document
-    dtype: string
-  - name: summary
-    dtype: string
-  - name: id
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 479206608
-    num_examples: 204045
-  - name: validation
-    num_bytes: 26292901
-    num_examples: 11332
-  - name: test
-    num_bytes: 26756165
-    num_examples: 11334
-  download_size: 257302866
-  dataset_size: 532255674
----
-
-# Dataset Card for "xsum"
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:**
-- **Repository:** https://github.com/EdinburghNLP/XSum
-- **Paper:** [Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization](https://arxiv.org/abs/1808.08745)
-- **Point of Contact:** [Shashi Narayan](mailto:shashi.narayan@ed.ac.uk)
-- **Size of downloaded dataset files:** 245.38 MB
-- **Size of the generated dataset:** 507.60 MB
-- **Total amount of disk used:** 752.98 MB
-
-### Dataset Summary
-
-Extreme Summarization (XSum) Dataset.
-
-There are three features:
-  - document: Input news article.
-  - summary: One sentence summary of the article.
-  - id: BBC ID of the article.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Languages
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Dataset Structure
-
-### Data Instances
-
-#### default
-
-- **Size of downloaded dataset files:** 245.38 MB
-- **Size of the generated dataset:** 507.60 MB
-- **Total amount of disk used:** 752.98 MB
-
-An example of 'validation' looks as follows.
-```
-{
-    "document": "some-body",
-    "id": "29750031",
-    "summary": "some-sentence"
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-#### default
-- `document`: a `string` feature.
-- `summary`: a `string` feature.
-- `id`: a `string` feature.
-
-### Data Splits
-
-| name  |train |validation|test |
-|-------|-----:|---------:|----:|
-|default|204045|     11332|11334|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Licensing Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Citation Information
-
-```
-@article{Narayan2018DontGM,
-  title={Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization},
-  author={Shashi Narayan and Shay B. Cohen and Mirella Lapata},
-  journal={ArXiv},
-  year={2018},
-  volume={abs/1808.08745}
-}
-```
-
-
-### Contributions
-
-Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@jbragg](https://github.com/jbragg), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.

data/XSUM-EMNLP18-Summary-Data-Original.tar.gz → default/xsum-test.parquet

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default/xsum-train.parquet

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xsum.py

@@ -1,170 +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
-"""XSum dataset."""
-
-
-import json
-import os
-
-import datasets
-
-
-_CITATION = """
-@article{Narayan2018DontGM,
-  title={Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization},
-  author={Shashi Narayan and Shay B. Cohen and Mirella Lapata},
-  journal={ArXiv},
-  year={2018},
-  volume={abs/1808.08745}
-}
-"""
-
-_DESCRIPTION = """
-Extreme Summarization (XSum) Dataset.
-
-There are three features:
-  - document: Input news article.
-  - summary: One sentence summary of the article.
-  - id: BBC ID of the article.
-
-"""
-
-# From https://github.com/EdinburghNLP/XSum/issues/12
-_URL_DATA = "data/XSUM-EMNLP18-Summary-Data-Original.tar.gz"
-_URL_SPLITS = (
-    "https://raw.githubusercontent.com/EdinburghNLP/XSum/master/XSum-Dataset/XSum-TRAINING-DEV-TEST-SPLIT-90-5-5.json"
-)
-
-_DOCUMENT = "document"
-_SUMMARY = "summary"
-_ID = "id"
-
-_REMOVE_LINES = set(
-    [
-        "Share this with\n",
-        "Email\n",
-        "Facebook\n",
-        "Messenger\n",
-        "Twitter\n",
-        "Pinterest\n",
-        "WhatsApp\n",
-        "Linkedin\n",
-        "LinkedIn\n",
-        "Copy this link\n",
-        "These are external links and will open in a new window\n",
-    ]
-)
-
-
-class Xsum(datasets.GeneratorBasedBuilder):
-    """Extreme Summarization (XSum) Dataset."""
-
-    # Version 1.2.0 expands coverage, includes ids, and removes web contents.
-    VERSION = datasets.Version("1.2.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    _DOCUMENT: datasets.Value("string"),
-                    _SUMMARY: datasets.Value("string"),
-                    _ID: datasets.Value("string"),
-                }
-            ),
-            supervised_keys=(_DOCUMENT, _SUMMARY),
-            homepage="https://github.com/EdinburghNLP/XSum/tree/master/XSum-Dataset",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        files_to_download = {"data": _URL_DATA, "splits": _URL_SPLITS}
-        downloaded_files = dl_manager.download(files_to_download)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "split_path": downloaded_files["splits"],
-                    "split_name": "train",
-                    "data_dir": "bbc-summary-data",
-                    "files": dl_manager.iter_archive(downloaded_files["data"]),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "split_path": downloaded_files["splits"],
-                    "split_name": "validation",
-                    "data_dir": "bbc-summary-data",
-                    "files": dl_manager.iter_archive(downloaded_files["data"]),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "split_path": downloaded_files["splits"],
-                    "split_name": "test",
-                    "data_dir": "bbc-summary-data",
-                    "files": dl_manager.iter_archive(downloaded_files["data"]),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, split_path, split_name, data_dir, files):
-        """Yields examples."""
-
-        with open(split_path, "r", encoding="utf-8") as f:
-            split_ids = json.load(f)
-        split_ids = {k: set(v) for k, v in split_ids.items()}
-
-        for path, f in files:
-            if not split_ids[split_name]:
-                break
-            elif path.startswith(data_dir) and path.endswith(".summary"):
-                i = os.path.basename(path).split(".")[0]
-                if i in split_ids[split_name]:
-                    split_ids[split_name].remove(i)
-                    text = "".join(
-                        [
-                            line.decode("utf-8")
-                            for line in f.readlines()
-                            if line.decode("utf-8") not in _REMOVE_LINES and line.strip()
-                        ]
-                    )
-                    # Each file follows below format:
-                    # [SN]URL[SN]
-                    # http://somelink
-                    #
-                    # [SN]TITLE[SN]
-                    # some intro
-                    #
-                    # [SN]FIRST-SENTENCE[SN]
-                    # some intro
-                    #
-                    # [SN]RESTBODY[SN]
-                    # text line.
-                    # another text line.
-                    # "another text line."
-
-                    # According to the following issue, FIRST-SENTENCE
-                    # is the reference summary and TITLE is unused:
-                    # https://github.com/EdinburghNLP/XSum/issues/22
-                    segs = text.split("[SN]")
-                    yield i, {_DOCUMENT: segs[8].strip(), _SUMMARY: segs[6].strip(), _ID: i}