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{"cestwc--cnn_dailymail-coref": {"description": "CNN/DailyMail non-anonymized summarization dataset.\n\nThere are two features:\n - article: text of news article, used as the document to be summarized\n - highlights: joined text of highlights with <s> and </s> around each\n highlight, which is the target summary\n", "citation": "@article{DBLP:journals/corr/SeeLM17,\n author = {Abigail See and\n Peter J. Liu and\n Christopher D. Manning},\n title = {Get To The Point: Summarization with Pointer-Generator Networks},\n journal = {CoRR},\n volume = {abs/1704.04368},\n year = {2017},\n url = {http://arxiv.org/abs/1704.04368},\n archivePrefix = {arXiv},\n eprint = {1704.04368},\n timestamp = {Mon, 13 Aug 2018 16:46:08 +0200},\n biburl = {https://dblp.org/rec/bib/journals/corr/SeeLM17},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n@inproceedings{hermann2015teaching,\n title={Teaching machines to read and comprehend},\n author={Hermann, Karl Moritz and Kocisky, Tomas and Grefenstette, Edward and Espeholt, Lasse and Kay, Will and Suleyman, Mustafa and Blunsom, Phil},\n booktitle={Advances in neural information processing systems},\n pages={1693--1701},\n year={2015}\n}\n", "homepage": "https://github.com/abisee/cnn-dailymail", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "article_sents": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "highlights_sents": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "cnn_dailymail", "config_name": "3.0.0", "version": {"version_str": "3.0.0", "description": "Using cased version.", "major": 3, "minor": 0, "patch": 0}, "splits": {"
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{"cestwc--cnn_dailymail-coref": {"description": "CNN/DailyMail non-anonymized summarization dataset.\n\nThere are two features:\n - article: text of news article, used as the document to be summarized\n - highlights: joined text of highlights with <s> and </s> around each\n highlight, which is the target summary\n", "citation": "@article{DBLP:journals/corr/SeeLM17,\n author = {Abigail See and\n Peter J. Liu and\n Christopher D. Manning},\n title = {Get To The Point: Summarization with Pointer-Generator Networks},\n journal = {CoRR},\n volume = {abs/1704.04368},\n year = {2017},\n url = {http://arxiv.org/abs/1704.04368},\n archivePrefix = {arXiv},\n eprint = {1704.04368},\n timestamp = {Mon, 13 Aug 2018 16:46:08 +0200},\n biburl = {https://dblp.org/rec/bib/journals/corr/SeeLM17},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n@inproceedings{hermann2015teaching,\n title={Teaching machines to read and comprehend},\n author={Hermann, Karl Moritz and Kocisky, Tomas and Grefenstette, Edward and Espeholt, Lasse and Kay, Will and Suleyman, Mustafa and Blunsom, Phil},\n booktitle={Advances in neural information processing systems},\n pages={1693--1701},\n year={2015}\n}\n", "homepage": "https://github.com/abisee/cnn-dailymail", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "article_sents": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "highlights_sents": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "cnn_dailymail", "config_name": "3.0.0", "version": {"version_str": "3.0.0", "description": "Using cased version.", "major": 3, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 65016175, "num_examples": 13368, "dataset_name": "cnn_dailymail-coref"}, "train": {"name": "train", "num_bytes": 1417009415, "num_examples": 287113, "dataset_name": "cnn_dailymail-coref"}, "test": {"name": "test", "num_bytes": 56338340, "num_examples": 11490, "dataset_name": "cnn_dailymail-coref"}}, "download_checksums": null, "download_size": 882973302, "post_processing_size": null, "dataset_size": 1538363930, "size_in_bytes": 2421337232}}
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