Datasets:
Tasks:
Summarization
Sub-tasks:
news-articles-summarization
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
Commit
•
713d981
1
Parent(s):
5b27e04
Host multi_news data on the Hub instead of Google Drive (#4585)
Browse files* Use data files hosted on the Hub
* Update metadata JSON
* Fix style
* Update dummy data
Commit from https://github.com/huggingface/datasets/commit/dad0ef80cdbcded21cc4b443f15f5cb291817bad
- dataset_infos.json +1 -1
- dummy/1.0.0/dummy_data.zip +2 -2
- multi_news.py +13 -7
dataset_infos.json
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{"default": {"description": "\nMulti-News, consists of news articles and human-written summaries\nof these articles from the site newser.com.\nEach summary is professionally written by editors and\nincludes links to the original articles cited.\n\nThere are two features:\n - document: text of news articles seperated by special token \"|||||\".\n - summary: news summary.\n", "citation": "\n@misc{alex2019multinews,\n title={Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model},\n author={Alexander R. Fabbri and Irene Li and Tianwei She and Suyi Li and Dragomir R. Radev},\n year={2019},\n eprint={1906.01749},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/Alex-Fabbri/Multi-News", "license": "", "features": {"document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "document", "output": "summary"}, "task_templates": null, "builder_name": "multi_news", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes":
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{"default": {"description": "\nMulti-News, consists of news articles and human-written summaries\nof these articles from the site newser.com.\nEach summary is professionally written by editors and\nincludes links to the original articles cited.\n\nThere are two features:\n - document: text of news articles seperated by special token \"|||||\".\n - summary: news summary.\n", "citation": "\n@misc{alex2019multinews,\n title={Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model},\n author={Alexander R. Fabbri and Irene Li and Tianwei She and Suyi Li and Dragomir R. Radev},\n year={2019},\n eprint={1906.01749},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/Alex-Fabbri/Multi-News", "license": "For non-commercial research and educational purposes only", "features": {"document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "document", "output": "summary"}, "task_templates": null, "builder_name": "multi_news", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 558392265, "num_examples": 44972, "dataset_name": "multi_news"}, "validation": {"name": "validation", "num_bytes": 68272432, "num_examples": 5622, "dataset_name": "multi_news"}, "test": {"name": "test", "num_bytes": 70032124, "num_examples": 5622, "dataset_name": "multi_news"}}, "download_checksums": {"https://huggingface.co/datasets/multi_news/resolve/main/data/train.src.cleaned": {"num_bytes": 547512283, "checksum": "627781c8ce55d528fcdacd495db45583a915e2d24b7983b0a5a6693ede933bb1"}, "https://huggingface.co/datasets/multi_news/resolve/main/data/train.tgt": {"num_bytes": 58793912, "checksum": "e9e82b8f413b0f1ed4eb7c883f93bb744f829c218c1608b6ba7615d687d07121"}, "https://huggingface.co/datasets/multi_news/resolve/main/data/val.src.cleaned": {"num_bytes": 66875522, "checksum": "f0a43902da366eea2b882e39ddd4c0975ad44aba6b61095a2ea90362e9e2bb65"}, "https://huggingface.co/datasets/multi_news/resolve/main/data/val.tgt": {"num_bytes": 7295302, "checksum": "bb08a078e0cb2b8ca9cc0fe3bfbe9d4098dee706bd00eb97449155e41b880157"}, "https://huggingface.co/datasets/multi_news/resolve/main/data/test.src.cleaned": {"num_bytes": 68999509, "checksum": "138d3ac2dc899cbcd2e3745aaa94d1c1db55fb7058d9df4ba3ef2dac05a3a186"}, "https://huggingface.co/datasets/multi_news/resolve/main/data/test.tgt": {"num_bytes": 7309099, "checksum": "fa97cf91a62ae82a0af6da88f2ddf8e06eb4e3b90f7971d8e0c516436518fae3"}}, "download_size": 756785627, "post_processing_size": null, "dataset_size": 696696821, "size_in_bytes": 1453482448}}
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dummy/1.0.0/dummy_data.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:775d54cec4e222ea84c1e1533cf1ccf6d628646970b107e67dc6df1e8a372486
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size 1388
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multi_news.py
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import datasets
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_CITATION = """
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@misc{alex2019multinews,
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title={Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model},
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- summary: news summary.
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"""
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_URLs = {
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"train": [
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"
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"
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],
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"val": [
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"
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"
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],
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"test": [
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"
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"
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],
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}
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@@ -70,7 +75,8 @@ class MultiNews(datasets.GeneratorBasedBuilder):
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description=_DESCRIPTION,
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features=datasets.Features({_DOCUMENT: datasets.Value("string"), _SUMMARY: datasets.Value("string")}),
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supervised_keys=(_DOCUMENT, _SUMMARY),
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homepage=
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citation=_CITATION,
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)
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import datasets
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_HOMEPAGE = "https://github.com/Alex-Fabbri/Multi-News"
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_LICENSE = "For non-commercial research and educational purposes only"
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_CITATION = """
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@misc{alex2019multinews,
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title={Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model},
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- summary: news summary.
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"""
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_REPO = "https://huggingface.co/datasets/multi_news/resolve/main/data"
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_URLs = {
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"train": [
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f"{_REPO}/train.src.cleaned",
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f"{_REPO}/train.tgt",
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],
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"val": [
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f"{_REPO}/val.src.cleaned",
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f"{_REPO}/val.tgt",
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],
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"test": [
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f"{_REPO}/test.src.cleaned",
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f"{_REPO}/test.tgt",
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],
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}
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description=_DESCRIPTION,
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features=datasets.Features({_DOCUMENT: datasets.Value("string"), _SUMMARY: datasets.Value("string")}),
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supervised_keys=(_DOCUMENT, _SUMMARY),
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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)
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