{
 "id": "bloomberg/entsum",
 "owner": "bloomberg",
 "name": "entsum",
 "downloads": 88,
 "likes": 14,
 "last_modified": "2022-05-23T21:03:41.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": "cc-by-4.0",
 "licence_files": [
  "LICENSE.md"
 ],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{maddela-etal-2022-entsum,\n    title = \"{E}nt{SUM}: A Data Set for Entity-Centric Extractive Summarization\",\n    author = \"Maddela, Mounica  and\n      Kulkarni, Mayank  and\n      Preotiuc-Pietro, Daniel\",\n    booktitle = \"Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)\",\n    month = may,\n    year = \"2022\",\n    address = \"Dublin, Ireland\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2022.acl-long.237\",\n    pages = \"3355--3366\",\n    abstract = \"Controllable summarization aims to provide summaries that take into account user-specified aspects and preferences to better assist them with their information need, as opposed to the standard summarization setup which build a single generic summary of a document.We introduce a human-annotated data set EntSUM for controllable summarization with a focus on named entities as the aspects to control.We conduct an extensive quantitative analysis to motivate the task of entity-centric summarization and show that existing methods for controllable summarization fail to generate entity-centric summaries. We propose extensions to state-of-the-art summarization approaches that achieve substantially better results on our data set. Our analysis and results show the challenging nature of this task and of the proposed data set.\",\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "6a1046e7064c195bdd67487017c684cb1684a2a0",
 "stated_evidence": "https://huggingface.co/datasets/bloomberg/entsum/blob/6a1046e7064c195bdd67487017c684cb1684a2a0/README.md",
 "file_evidence": "https://huggingface.co/datasets/bloomberg/entsum/blob/6a1046e7064c195bdd67487017c684cb1684a2a0/LICENSE.md",
 "card_nc": false
}