Upload dataset_infos.json
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dataset_infos.json
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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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"features": {
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"table_id_paper": {
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"dtype": "string",
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"_type": "Value"
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},
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"caption": {
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"dtype": "string",
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"_type": "Value"
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},
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"row_header_level": {
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"dtype": "int32",
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"_type": "Value"
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},
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"row_headers": {
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"dtype": "large_string",
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"_type": "Value"
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},
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"column_header_level": {
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"dtype": "int32",
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"_type": "Value"
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},
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"column_headers": {
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"dtype": "large_string",
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"_type": "Value"
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},
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"contents": {
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"dtype": "large_string",
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"_type": "Value"
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},
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"metrics_loc": {
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"dtype": "string",
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"_type": "Value"
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},
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"metrics_type": {
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"dtype": "large_string",
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"_type": "Value"
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},
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"target_entity": {
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"dtype": "large_string",
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"_type": "Value"
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},
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"table_html_clean": {
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"dtype": "large_string",
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"_type": "Value"
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},
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"table_name": {
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"dtype": "string",
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"_type": "Value"
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},
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"table_id": {
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"dtype": "string",
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"_type": "Value"
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"paper_id": {
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"dtype": "string",
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"_type": "Value"
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},
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"page_no": {
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"dtype": "int32",
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"_type": "Value"
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},
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"dir": {
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"dtype": "string",
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"_type": "Value"
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},
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"description": {
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"_type": "Value"
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},
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"class_sentence": {
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"dtype": "string",
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"_type": "Value"
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},
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"sentences": {
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"dtype": "large_string",
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"_type": "Value"
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},
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"header_mention": {
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"dtype": "string",
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"_type": "Value"
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},
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"valid": {
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"dtype": "int32",
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"_type": "Value"
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}
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},
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"builder_name": "numericnlg",
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"config_name": "default",
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"version": {
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"version_str": "1.0.0",
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"major": 1,
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"minor": 0,
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"patch": 0
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},
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 4646019,
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"num_examples": 1084,
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"dataset_name": null
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},
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"validation": {
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"name": "validation",
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"num_bytes": 613045,
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"num_examples": 136,
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"dataset_name": null
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"test": {
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"name": "test",
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"num_bytes": 551645,
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"num_examples": 135,
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"dataset_name": null
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}
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},
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"download_size": 0,
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"dataset_size": 5810709,
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"size_in_bytes": 5810709
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}}
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{"kasnerz--numericnlg": {"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", "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": "CC BY-SA 4.0", "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": "1.0.0", "description": null, "major": 1, "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": 1085408, "post_processing_size": null, "dataset_size": 3236888, "size_in_bytes": 4322296}}
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