Datasets:

ajders
/

machine_translated_cnn_dailymail_da_small

	{"ajders--machine_translated_cnn_dailymail_da_small": {
	"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": {
	"article": {
	"dtype": "string",
	"id": null,
	"_type": "Value"
	},
	"highlights": {
	"dtype": "string",
	"id": null,
	"_type": "Value"
	},
	"id": {
	"dtype": "string",
	"id": null,
	"_type": "Value"
	}
	},
	"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": {
	"train": {
	"name": "train",
	"num_bytes": 12063150.0,
	"num_examples": 2872,
	"dataset_name": "machine_translated_cnn_dailymail_da_small"
	}
	},
	"download_checksums": null,
	"download_size": 7264023,
	"post_processing_size": null,
	"dataset_size": 12063150.0,
	"size_in_bytes": 19327173.0
	}}