{"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
}}