Upload dataset_infos.json with huggingface_hub
Browse files- dataset_infos.json +1 -1
dataset_infos.json
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
"description": "HiTab is a dataset for question answering and data-to-text over hierarchical tables. It contains 10,672 samples and 3,597 tables from statistical reports (StatCan, NSF) and Wikipedia (ToTTo). 98.1% of the tables in HiTab are with hierarchies.\n",
|
| 3 |
"citation": "@article{cheng2021hitab,\n title={HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation},\n author={Cheng, Zhoujun and Dong, Haoyu and Wang, Zhiruo and Jia, Ran and Guo, Jiaqi and Gao, Yan and Han, Shi and Lou, Jian-Guang and Zhang, Dongmei},\n journal={arXiv preprint arXiv:2108.06712},\n year={2021}\n}\n",
|
| 4 |
"homepage": "https://www.microsoft.com/en-us/research/publication/hitab-a-hierarchical-table-dataset-for-question-answering-and-natural-language-generation/",
|
| 5 |
-
"license": "",
|
| 6 |
"features": {
|
| 7 |
"id": {
|
| 8 |
"dtype": "string",
|
| 2 |
"description": "HiTab is a dataset for question answering and data-to-text over hierarchical tables. It contains 10,672 samples and 3,597 tables from statistical reports (StatCan, NSF) and Wikipedia (ToTTo). 98.1% of the tables in HiTab are with hierarchies.\n",
|
| 3 |
"citation": "@article{cheng2021hitab,\n title={HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation},\n author={Cheng, Zhoujun and Dong, Haoyu and Wang, Zhiruo and Jia, Ran and Guo, Jiaqi and Gao, Yan and Han, Shi and Lou, Jian-Guang and Zhang, Dongmei},\n journal={arXiv preprint arXiv:2108.06712},\n year={2021}\n}\n",
|
| 4 |
"homepage": "https://www.microsoft.com/en-us/research/publication/hitab-a-hierarchical-table-dataset-for-question-answering-and-natural-language-generation/",
|
| 5 |
+
"license": "C-UDA 1.0",
|
| 6 |
"features": {
|
| 7 |
"id": {
|
| 8 |
"dtype": "string",
|