imdatta0 commited on
Commit
c7f2fb3
·
1 Parent(s): a60a3e4

Upload dataset_infos.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. dataset_infos.json +37 -0
dataset_infos.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"imdatta0--qna_datasets": {
2
+ "description": "CommonsenseQA is a new multiple-choice question answering dataset that requires different types of commonsense knowledge\nto predict the correct answers . It contains 12,102 questions with one correct answer and four distractor answers.\nThe dataset is provided in two major training/validation/testing set splits: \"Random split\" which is the main evaluation\nsplit, and \"Question token split\", see paper for details.\n\n\n\nOur dataset is gathered by using a new representation language to annotate over the AQuA-RAT dataset. AQuA-RAT has provided the questions, options, rationale, and the correct options.",
3
+ "citation": "@inproceedings{talmor-etal-2019-commonsenseqa,\n title = \"{C}ommonsense{QA}: A Question Answering Challenge Targeting Commonsense Knowledge\",\n author = \"Talmor, Alon and\n Herzig, Jonathan and\n Lourie, Nicholas and\n Berant, Jonathan\",\n booktitle = \"Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)\",\n month = jun,\n year = \"2019\",\n address = \"Minneapolis, Minnesota\",\n publisher = \"Association for Computational Linguistics\",\n url = \"https://aclanthology.org/N19-1421\",\n doi = \"10.18653/v1/N19-1421\",\n pages = \"4149--4158\",\n archivePrefix = \"arXiv\",\n eprint = \"1811.00937\",\n primaryClass = \"cs\",\n}",
4
+ "homepage": "https://www.tau-nlp.org/commonsenseqa\n\nhttps://math-qa.github.io/math-QA/",
5
+ "license": "",
6
+ "features": {
7
+ "text": {
8
+ "dtype": "string",
9
+ "id": null,
10
+ "_type": "Value"
11
+ },
12
+ "__index_level_0__": {
13
+ "dtype": "int64",
14
+ "id": null,
15
+ "_type": "Value"
16
+ }
17
+ },
18
+ "post_processed": null,
19
+ "supervised_keys": null,
20
+ "task_templates": null,
21
+ "builder_name": null,
22
+ "config_name": null,
23
+ "version": null,
24
+ "splits": {
25
+ "train": {
26
+ "name": "train",
27
+ "num_bytes": 20332983,
28
+ "num_examples": 61910,
29
+ "dataset_name": "qna_datasets"
30
+ }
31
+ },
32
+ "download_checksums": null,
33
+ "download_size": 10952906,
34
+ "post_processing_size": null,
35
+ "dataset_size": 20332983,
36
+ "size_in_bytes": 31285889
37
+ }}