albertvillanova HF staff commited on
Commit
8326a8f
1 Parent(s): af7c754

Fix missing tags in dataset cards (#4908)

Browse files

Commit from https://github.com/huggingface/datasets/commit/c79e737b5247a908f6f63e4bcf9c62abd38ef6ee

Files changed (1) hide show
  1. README.md +34 -11
README.md CHANGED
@@ -1,8 +1,24 @@
1
  ---
 
 
2
  language:
3
  - en
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4
  paperswithcode_id: asnq
5
- pretty_name: Answer Sentence Natural Questions
6
  ---
7
 
8
  # Dataset Card for "asnq"
@@ -35,7 +51,7 @@ pretty_name: Answer Sentence Natural Questions
35
 
36
  - **Homepage:** [https://github.com/alexa/wqa_tanda#answer-sentence-natural-questions-asnq](https://github.com/alexa/wqa_tanda#answer-sentence-natural-questions-asnq)
37
  - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
38
- - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
39
  - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
40
  - **Size of downloaded dataset files:** 3398.76 MB
41
  - **Size of the generated dataset:** 3647.70 MB
@@ -52,7 +68,7 @@ sentence_in_long_answer and short_answer_in_sentence indicating whether ot not t
52
  candidate sentence is contained in the long_answer and if the short_answer is in the candidate sentence.
53
 
54
  For more details please see
55
- https://arxiv.org/pdf/1911.04118.pdf
56
 
57
  and
58
 
@@ -156,21 +172,28 @@ The data fields are the same among all splits.
156
 
157
  ### Licensing Information
158
 
159
- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
160
 
161
  ### Citation Information
162
 
163
  ```
164
- @article{garg2019tanda,
165
- title={TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection},
166
- author={Siddhant Garg and Thuy Vu and Alessandro Moschitti},
167
- year={2019},
168
- eprint={1911.04118},
 
 
 
 
 
 
 
 
169
  }
170
-
171
  ```
172
 
173
-
174
  ### Contributions
175
 
176
  Thanks to [@mkserge](https://github.com/mkserge) for adding this dataset.
1
  ---
2
+ annotations_creators:
3
+ - crowdsourced
4
  language:
5
  - en
6
+ language_creators:
7
+ - found
8
+ license:
9
+ - cc-by-nc-sa-3.0
10
+ multilinguality:
11
+ - monolingual
12
+ pretty_name: Answer Sentence Natural Questions (ASNQ)
13
+ size_categories:
14
+ - 10M<n<100M
15
+ source_datasets:
16
+ - extended|natural_questions
17
+ task_categories:
18
+ - multiple-choice
19
+ task_ids:
20
+ - multiple-choice-qa
21
  paperswithcode_id: asnq
 
22
  ---
23
 
24
  # Dataset Card for "asnq"
51
 
52
  - **Homepage:** [https://github.com/alexa/wqa_tanda#answer-sentence-natural-questions-asnq](https://github.com/alexa/wqa_tanda#answer-sentence-natural-questions-asnq)
53
  - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
54
+ - **Paper:** [TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection](https://arxiv.org/abs/1911.04118)
55
  - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
56
  - **Size of downloaded dataset files:** 3398.76 MB
57
  - **Size of the generated dataset:** 3647.70 MB
68
  candidate sentence is contained in the long_answer and if the short_answer is in the candidate sentence.
69
 
70
  For more details please see
71
+ https://arxiv.org/abs/1911.04118
72
 
73
  and
74
 
172
 
173
  ### Licensing Information
174
 
175
+ The data is made available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License:
176
+ https://github.com/alexa/wqa_tanda/blob/master/LICENSE
177
 
178
  ### Citation Information
179
 
180
  ```
181
+ @article{Garg_2020,
182
+ title={TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection},
183
+ volume={34},
184
+ ISSN={2159-5399},
185
+ url={http://dx.doi.org/10.1609/AAAI.V34I05.6282},
186
+ DOI={10.1609/aaai.v34i05.6282},
187
+ number={05},
188
+ journal={Proceedings of the AAAI Conference on Artificial Intelligence},
189
+ publisher={Association for the Advancement of Artificial Intelligence (AAAI)},
190
+ author={Garg, Siddhant and Vu, Thuy and Moschitti, Alessandro},
191
+ year={2020},
192
+ month={Apr},
193
+ pages={7780–7788}
194
  }
 
195
  ```
196
 
 
197
  ### Contributions
198
 
199
  Thanks to [@mkserge](https://github.com/mkserge) for adding this dataset.