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-{"allenai--multinews_dense_oracle": {"description": "\n WCEP10 dataset for summarization.\n From paper: \"A Large-Scale Multi-Document Summarization Dataset from the Wikipedia\n                Current Events Portal\" by D. Gholipour et al.\"\n From paper: \"PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document\n                Summarization\" by W. Xiao et al.\"\n\n", "citation": "    @article{DBLP:journals/corr/abs-2005-10070,\n    author    = {Demian Gholipour Ghalandari and\n                Chris Hokamp and\n                Nghia The Pham and\n                John Glover and\n                Georgiana Ifrim},\n    title     = {A Large-Scale Multi-Document Summarization Dataset from the Wikipedia\n                Current Events Portal},\n    journal   = {CoRR},\n    volume    = {abs/2005.10070},\n    year      = {2020},\n    url       = {https://arxiv.org/abs/2005.10070},\n    eprinttype = {arXiv},\n    eprint    = {2005.10070},\n    timestamp = {Fri, 22 May 2020 16:21:28 +0200},\n    biburl    = {https://dblp.org/rec/journals/corr/abs-2005-10070.bib},\n    bibsource = {dblp computer science bibliography, https://dblp.org}\n    }\n\n\n    @article{DBLP:journals/corr/abs-2110-08499,\n    author    = {Wen Xiao and\n                Iz Beltagy and\n                Giuseppe Carenini and\n                Arman Cohan},\n    title     = {{PRIMER:} Pyramid-based Masked Sentence Pre-training for Multi-document\n                Summarization},\n    journal   = {CoRR},\n    volume    = {abs/2110.08499},\n    year      = {2021},\n    url       = {https://arxiv.org/abs/2110.08499},\n    eprinttype = {arXiv},\n    eprint    = {2110.08499},\n    timestamp = {Fri, 22 Oct 2021 13:33:09 +0200},\n    biburl    = {https://dblp.org/rec/journals/corr/abs-2110-08499.bib},\n    bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n", "homepage": "https://github.com/allenai/PRIMER", "license": "", "features": {"document": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "wcep-10", "config_name": "roberta", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 178097788, "num_examples": 8158, "dataset_name": "multinews_dense_oracle"}, "validation": {"name": "validation", "num_bytes": 23040910, "num_examples": 1020, "dataset_name": "multinews_dense_oracle"}, "test": {"name": "test", "num_bytes": 22821600, "num_examples": 1022, "dataset_name": "multinews_dense_oracle"}}, "download_checksums": null, "download_size": 108957446, "post_processing_size": null, "dataset_size": 223960298, "size_in_bytes": 332917744}}
+{"allenai--multinews_dense_oracle": {"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": 601587315, "num_examples": 44972, "dataset_name": "multinews_dense_oracle"}, "validation": {"name": "validation", "num_bytes": 74146100, "num_examples": 5622, "dataset_name": "multinews_dense_oracle"}, "test": {"name": "test", "num_bytes": 74171161, "num_examples": 5622, "dataset_name": "multinews_dense_oracle"}}, "download_checksums": null, "download_size": 439121470, "post_processing_size": null, "dataset_size": 749904576, "size_in_bytes": 1189026046}}