Datasets:
Tasks:
Multiple Choice
Modalities:
Text
Formats:
parquet
Sub-tasks:
multiple-choice-qa
Languages:
English
Size:
100K - 1M
ArXiv:
License:
Commit
·
cc4b3ec
1
Parent(s):
a880cfb
Fix missing tags in dataset cards (#4921)
Browse files* Fix missing tags in dataset cards
* Force CI re-run
Commit from https://github.com/huggingface/datasets/commit/a0b6402e8f32a806b1ef0ff4b99fd58e54232d49
README.md
CHANGED
@@ -1,7 +1,23 @@
|
|
1 |
---
|
2 |
-
|
|
|
3 |
language:
|
4 |
- en
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5 |
paperswithcode_id: race
|
6 |
---
|
7 |
|
@@ -34,16 +50,16 @@ paperswithcode_id: race
|
|
34 |
## Dataset Description
|
35 |
|
36 |
- **Homepage:** [http://www.cs.cmu.edu/~glai1/data/race/](http://www.cs.cmu.edu/~glai1/data/race/)
|
37 |
-
- **Repository:**
|
38 |
-
- **Paper:** [
|
39 |
-
- **Point of Contact:** [
|
40 |
- **Size of downloaded dataset files:** 72.79 MB
|
41 |
- **Size of the generated dataset:** 333.27 MB
|
42 |
- **Total amount of disk used:** 406.07 MB
|
43 |
|
44 |
### Dataset Summary
|
45 |
|
46 |
-
|
47 |
dataset is collected from English examinations in China, which are designed for middle school and high school students.
|
48 |
The dataset can be served as the training and test sets for machine comprehension.
|
49 |
|
@@ -201,18 +217,35 @@ The data fields are the same among all splits.
|
|
201 |
|
202 |
### Licensing Information
|
203 |
|
204 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
205 |
|
206 |
### Citation Information
|
207 |
|
208 |
```
|
209 |
-
@
|
210 |
-
title={RACE: Large-scale
|
211 |
-
author=
|
212 |
-
|
213 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
214 |
}
|
215 |
-
|
216 |
```
|
217 |
|
218 |
|
|
|
1 |
---
|
2 |
+
annotations_creators:
|
3 |
+
- expert-generated
|
4 |
language:
|
5 |
- en
|
6 |
+
language_creators:
|
7 |
+
- found
|
8 |
+
license:
|
9 |
+
- other
|
10 |
+
multilinguality:
|
11 |
+
- monolingual
|
12 |
+
pretty_name: RACE
|
13 |
+
size_categories:
|
14 |
+
- 10K<n<100K
|
15 |
+
source_datasets:
|
16 |
+
- original
|
17 |
+
task_categories:
|
18 |
+
- multiple-choice
|
19 |
+
task_ids:
|
20 |
+
- multiple-choice-qa
|
21 |
paperswithcode_id: race
|
22 |
---
|
23 |
|
|
|
50 |
## Dataset Description
|
51 |
|
52 |
- **Homepage:** [http://www.cs.cmu.edu/~glai1/data/race/](http://www.cs.cmu.edu/~glai1/data/race/)
|
53 |
+
- **Repository:** https://github.com/qizhex/RACE_AR_baselines
|
54 |
+
- **Paper:** [RACE: Large-scale ReAding Comprehension Dataset From Examinations](https://arxiv.org/abs/1704.04683)
|
55 |
+
- **Point of Contact:** [Guokun Lai](mailto:[email protected]), [Qizhe Xie](mailto:qzxie@cs.cmu.edu)
|
56 |
- **Size of downloaded dataset files:** 72.79 MB
|
57 |
- **Size of the generated dataset:** 333.27 MB
|
58 |
- **Total amount of disk used:** 406.07 MB
|
59 |
|
60 |
### Dataset Summary
|
61 |
|
62 |
+
RACE is a large-scale reading comprehension dataset with more than 28,000 passages and nearly 100,000 questions. The
|
63 |
dataset is collected from English examinations in China, which are designed for middle school and high school students.
|
64 |
The dataset can be served as the training and test sets for machine comprehension.
|
65 |
|
|
|
217 |
|
218 |
### Licensing Information
|
219 |
|
220 |
+
http://www.cs.cmu.edu/~glai1/data/race/
|
221 |
+
|
222 |
+
1. RACE dataset is available for non-commercial research purpose only.
|
223 |
+
|
224 |
+
2. All passages are obtained from the Internet which is not property of Carnegie Mellon University. We are not responsible for the content nor the meaning of these passages.
|
225 |
+
|
226 |
+
3. You agree not to reproduce, duplicate, copy, sell, trade, resell or exploit for any commercial purpose, any portion of the contexts and any portion of derived data.
|
227 |
+
|
228 |
+
4. We reserve the right to terminate your access to the RACE dataset at any time.
|
229 |
|
230 |
### Citation Information
|
231 |
|
232 |
```
|
233 |
+
@inproceedings{lai-etal-2017-race,
|
234 |
+
title = "{RACE}: Large-scale {R}e{A}ding Comprehension Dataset From Examinations",
|
235 |
+
author = "Lai, Guokun and
|
236 |
+
Xie, Qizhe and
|
237 |
+
Liu, Hanxiao and
|
238 |
+
Yang, Yiming and
|
239 |
+
Hovy, Eduard",
|
240 |
+
booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing",
|
241 |
+
month = sep,
|
242 |
+
year = "2017",
|
243 |
+
address = "Copenhagen, Denmark",
|
244 |
+
publisher = "Association for Computational Linguistics",
|
245 |
+
url = "https://aclanthology.org/D17-1082",
|
246 |
+
doi = "10.18653/v1/D17-1082",
|
247 |
+
pages = "785--794",
|
248 |
}
|
|
|
249 |
```
|
250 |
|
251 |
|