Datasets:
Tasks:
Summarization
Modalities:
Text
Formats:
parquet
Sub-tasks:
news-articles-summarization
Languages:
English
Size:
10K - 100K
License:
Commit
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Parent(s):
d66211a
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{"allenai--wcep_sparse_max": {"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": 192494942, "num_examples": 8158, "dataset_name": "wcep_sparse_max"}, "validation": {"name": "validation", "num_bytes": 25092691, "num_examples": 1020, "dataset_name": "wcep_sparse_max"}, "test": {"name": "test", "num_bytes": 28616034, "num_examples": 1022, "dataset_name": "wcep_sparse_max"}}, "download_checksums": null, "download_size":
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{"allenai--wcep_sparse_max": {"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": 192494942, "num_examples": 8158, "dataset_name": "wcep_sparse_max"}, "validation": {"name": "validation", "num_bytes": 25092691, "num_examples": 1020, "dataset_name": "wcep_sparse_max"}, "test": {"name": "test", "num_bytes": 28616034, "num_examples": 1022, "dataset_name": "wcep_sparse_max"}}, "download_checksums": null, "download_size": 0, "post_processing_size": null, "dataset_size": 246203667, "size_in_bytes": 246203667}}
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