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dataset_infos.json

@@ -1 +1,123 @@
-{"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"}, "description": {"dtype": "large_string", "id": null, "_type": "Value"}, "class_sentence": {"dtype": "string", "id": null, "_type": "Value"}, "sentences": {"dtype": "large_string", "id": null, "_type": "Value"}, "header_mention": {"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": 4646019, "num_examples": 1084, "dataset_name": "numericnlg"}, "validation": {"name": "validation", "num_bytes": 613045, "num_examples": 136, "dataset_name": "numericnlg"}, "test": {"name": "test", "num_bytes": 551645, "num_examples": 135, "dataset_name": "numericnlg"}}, "download_checksums": null, "download_size": 2443747, "post_processing_size": null, "dataset_size": 5810709, "size_in_bytes": 8254456}}
+{"default": {
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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",
+    "homepage": "https://github.com/titech-nlp/numeric-nlg",
+    "license": "CC BY-SA 4.0",
+    "features": {
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