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- {"kasnerz--numericnlg": {"description": "NumericNLG is a dataset for table-totext generation focusing on numerical reasoning. The dataset consists of textual descriptions of numerical tables from scientific papers.\n", "citation": "@inproceedings{suadaa-etal-2021-towards,\n title = \"Towards Table-to-Text Generation with Numerical Reasoning\",\n author = \"Suadaa, Lya Hulliyyatus and\n Kamigaito, Hidetaka and\n Funakoshi, Kotaro and\n Okumura, Manabu and\n Takamura, Hiroya\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.115\",\n doi = \"10.18653/v1/2021.acl-long.115\",\n pages = \"1451--1465\"\n}\n", "homepage": "https://github.com/titech-nlp/numeric-nlg", "license": "", "features": {"table_id_paper": {"dtype": "string", "id": null, "_type": "Value"}, "caption": {"dtype": "string", "id": null, "_type": "Value"}, "row_header_level": {"dtype": "int32", "id": null, "_type": "Value"}, "row_headers": {"dtype": "large_string", "id": null, "_type": "Value"}, "column_header_level": {"dtype": "int32", "id": null, "_type": "Value"}, "column_headers": {"dtype": "large_string", "id": null, "_type": "Value"}, "contents": {"dtype": "large_string", "id": null, "_type": "Value"}, "metrics_loc": {"dtype": "string", "id": null, "_type": "Value"}, "metrics_type": {"dtype": "large_string", "id": null, "_type": "Value"}, "target_entity": {"dtype": "large_string", "id": null, "_type": "Value"}, "table_html_clean": {"dtype": "large_string", "id": null, "_type": "Value"}, "table_name": {"dtype": "string", "id": null, "_type": "Value"}, "table_id": {"dtype": "string", "id": null, "_type": "Value"}, "paper_id": {"dtype": "string", "id": null, "_type": "Value"}, "page_no": {"dtype": "int32", "id": null, "_type": "Value"}, "dir": {"dtype": "string", "id": null, "_type": "Value"}, "valid": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "numericnlg", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2589321, "num_examples": 1084, "dataset_name": "numericnlg"}, "validation": {"name": "validation", "num_bytes": 349258, "num_examples": 136, "dataset_name": "numericnlg"}, "test": {"name": "test", "num_bytes": 298309, "num_examples": 135, "dataset_name": "numericnlg"}}, "download_checksums": null, "download_size": 0, "post_processing_size": null, "dataset_size": 3236888, "size_in_bytes": 3236888}}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {"default": {
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+ "description": "NumericNLG is a dataset for table-totext generation focusing on numerical reasoning. \nThe dataset consists of textual descriptions of numerical tables from scientific papers.\n",
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+ "citation": "@inproceedings{suadaa-etal-2021-towards,\n title = \"Towards Table-to-Text Generation with Numerical Reasoning\",\n author = \"Suadaa, Lya Hulliyyatus and\n Kamigaito, Hidetaka and\n Funakoshi, Kotaro and\n Okumura, Manabu and\n Takamura, Hiroya\",\n booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n month = aug,\n year = \"2021\",\n address = \"Online\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/2021.acl-long.115\",\n doi = \"10.18653/v1/2021.acl-long.115\",\n pages = \"1451--1465\"\n}\n",
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+ "homepage": "https://github.com/titech-nlp/numeric-nlg",
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+ "license": "CC BY-SA 4.0",
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+ }
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+ "builder_name": "numericnlg",
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