| {"timalsina--multilingual-concatenated-indic-xlsum": {"description": "We present XLSum, a comprehensive and diverse dataset comprising 1.35 million professionally \nannotated article-summary pairs from BBC, extracted using a set of carefully designed heuristics.\nThe dataset covers 45 languages ranging from low to high-resource, for many of which no\npublic dataset is currently available. XL-Sum is highly abstractive, concise, \nand of high quality, as indicated by human and intrinsic evaluation.", "citation": "@inproceedings{hasan-etal-2021-xl,\n title = \"{XL}-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages\",\n author = \"Hasan, Tahmid and\n Bhattacharjee, Abhik and\n Islam, Md. Saiful and\n Mubasshir, Kazi and\n Li, Yuan-Fang and\n Kang, Yong-Bin and\n Rahman, M. Sohel and\n Shahriyar, Rifat\",\n booktitle = \"Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.findings-acl.413\",\n pages = \"4693--4703\",\n}", "homepage": "https://github.com/csebuetnlp/xl-sum", "license": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "url": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": null, "config_name": null, "version": null, "splits": {"train": {"name": "train", "num_bytes": 2625556928, "num_examples": 517004, "dataset_name": "multilingual-concatenated-indic-xlsum"}, "validation": {"name": "validation", "num_bytes": 211764706, "num_examples": 37933, "dataset_name": "multilingual-concatenated-indic-xlsum"}, "test": {"name": "test", "num_bytes": 211764706, "num_examples": 37933, "dataset_name": "multilingual-concatenated-indic-xlsum"}}, "download_checksums": null, "download_size": 1411373825, "post_processing_size": null, "dataset_size": 3049086340, "size_in_bytes": 4460460165}} |