Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
extractive-qa
Size:
100K - 1M
License:
add json files
Browse files- .gitattributes +4 -0
- README.md +244 -0
- tidyqa_answerable/.DS_Store +0 -0
- tidyqa_answerable/dataset_dict.json +1 -0
- tidyqa_answerable/train/dataset.arrow +3 -0
- tidyqa_answerable/train/dataset_info.json +67 -0
- tidyqa_answerable/train/state.json +21 -0
- tidyqa_answerable/validation/dataset.arrow +3 -0
- tidyqa_answerable/validation/dataset_info.json +67 -0
- tidyqa_answerable/validation/state.json +21 -0
.gitattributes
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/Users/knf792/PycharmProjects/NLP_course/nlp_course_tydiqa/tidyqa_answerable/validation/state.json filter=lfs diff=lfs merge=lfs -text
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1 |
+
---
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2 |
+
pretty_name: TyDi QA
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3 |
+
annotations_creators:
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4 |
+
- crowdsourced
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+
language_creators:
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+
- crowdsourced
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+
language:
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8 |
+
- ar
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9 |
+
- bn
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10 |
+
- en
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11 |
+
- fi
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12 |
+
- id
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13 |
+
- ja
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14 |
+
- ko
|
15 |
+
- ru
|
16 |
+
- sw
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17 |
+
- te
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18 |
+
- th
|
19 |
+
license:
|
20 |
+
- apache-2.0
|
21 |
+
multilinguality:
|
22 |
+
- multilingual
|
23 |
+
size_categories:
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24 |
+
- unknown
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25 |
+
source_datasets:
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26 |
+
- extended|wikipedia
|
27 |
+
task_categories:
|
28 |
+
- question-answering
|
29 |
+
task_ids:
|
30 |
+
- extractive-qa
|
31 |
+
paperswithcode_id: tydi-qa
|
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+
---
|
33 |
+
|
34 |
+
# Dataset Card for "tydiqa"
|
35 |
+
|
36 |
+
## Table of Contents
|
37 |
+
- [Dataset Description](#dataset-description)
|
38 |
+
- [Dataset Summary](#dataset-summary)
|
39 |
+
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
|
40 |
+
- [Languages](#languages)
|
41 |
+
- [Dataset Structure](#dataset-structure)
|
42 |
+
- [Data Instances](#data-instances)
|
43 |
+
- [Data Fields](#data-fields)
|
44 |
+
- [Data Splits](#data-splits)
|
45 |
+
- [Dataset Creation](#dataset-creation)
|
46 |
+
- [Curation Rationale](#curation-rationale)
|
47 |
+
- [Source Data](#source-data)
|
48 |
+
- [Annotations](#annotations)
|
49 |
+
- [Personal and Sensitive Information](#personal-and-sensitive-information)
|
50 |
+
- [Considerations for Using the Data](#considerations-for-using-the-data)
|
51 |
+
- [Social Impact of Dataset](#social-impact-of-dataset)
|
52 |
+
- [Discussion of Biases](#discussion-of-biases)
|
53 |
+
- [Other Known Limitations](#other-known-limitations)
|
54 |
+
- [Additional Information](#additional-information)
|
55 |
+
- [Dataset Curators](#dataset-curators)
|
56 |
+
- [Licensing Information](#licensing-information)
|
57 |
+
- [Citation Information](#citation-information)
|
58 |
+
- [Contributions](#contributions)
|
59 |
+
|
60 |
+
## Dataset Description
|
61 |
+
|
62 |
+
- **Homepage:** [https://github.com/google-research-datasets/tydiqa](https://github.com/google-research-datasets/tydiqa)
|
63 |
+
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
64 |
+
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
65 |
+
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
66 |
+
- **Size of downloaded dataset files:** 3726.74 MB
|
67 |
+
- **Size of the generated dataset:** 5812.92 MB
|
68 |
+
- **Total amount of disk used:** 9539.67 MB
|
69 |
+
|
70 |
+
### Dataset Summary
|
71 |
+
|
72 |
+
TyDi QA is a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs.
|
73 |
+
The languages of TyDi QA are diverse with regard to their typology -- the set of linguistic features that each language
|
74 |
+
expresses -- such that we expect models performing well on this set to generalize across a large number of the languages
|
75 |
+
in the world. It contains language phenomena that would not be found in English-only corpora. To provide a realistic
|
76 |
+
information-seeking task and avoid priming effects, questions are written by people who want to know the answer, but
|
77 |
+
don’t know the answer yet, (unlike SQuAD and its descendents) and the data is collected directly in each language without
|
78 |
+
the use of translation (unlike MLQA and XQuAD).
|
79 |
+
|
80 |
+
### Supported Tasks and Leaderboards
|
81 |
+
|
82 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
83 |
+
|
84 |
+
### Languages
|
85 |
+
|
86 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
87 |
+
|
88 |
+
## Dataset Structure
|
89 |
+
|
90 |
+
### Data Instances
|
91 |
+
|
92 |
+
#### primary_task
|
93 |
+
|
94 |
+
- **Size of downloaded dataset files:** 1863.37 MB
|
95 |
+
- **Size of the generated dataset:** 5757.59 MB
|
96 |
+
- **Total amount of disk used:** 7620.96 MB
|
97 |
+
|
98 |
+
An example of 'validation' looks as follows.
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99 |
+
```
|
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+
This example was too long and was cropped:
|
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+
|
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+
{
|
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+
"annotations": {
|
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+
"minimal_answers_end_byte": [-1, -1, -1],
|
105 |
+
"minimal_answers_start_byte": [-1, -1, -1],
|
106 |
+
"passage_answer_candidate_index": [-1, -1, -1],
|
107 |
+
"yes_no_answer": ["NONE", "NONE", "NONE"]
|
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+
},
|
109 |
+
"document_plaintext": "\"\\nรองศาสตราจารย์[1] หม่อมราชวงศ์สุขุมพันธุ์ บริพัตร (22 กันยายน 2495 -) ผู้ว่าราชการกรุงเทพมหานครคนที่ 15 อดีตรองหัวหน้าพรรคปร...",
|
110 |
+
"document_title": "หม่อมราชวงศ์สุขุมพันธุ์ บริพัตร",
|
111 |
+
"document_url": "\"https://th.wikipedia.org/wiki/%E0%B8%AB%E0%B8%A1%E0%B9%88%E0%B8%AD%E0%B8%A1%E0%B8%A3%E0%B8%B2%E0%B8%8A%E0%B8%A7%E0%B8%87%E0%B8%...",
|
112 |
+
"language": "thai",
|
113 |
+
"passage_answer_candidates": "{\"plaintext_end_byte\": [494, 1779, 2931, 3904, 4506, 5588, 6383, 7122, 8224, 9375, 10473, 12563, 15134, 17765, 19863, 21902, 229...",
|
114 |
+
"question_text": "\"หม่อมราชวงศ์สุขุมพันธุ์ บริพัตร เรียนจบจากที่ไหน ?\"..."
|
115 |
+
}
|
116 |
+
```
|
117 |
+
|
118 |
+
#### secondary_task
|
119 |
+
|
120 |
+
- **Size of downloaded dataset files:** 1863.37 MB
|
121 |
+
- **Size of the generated dataset:** 55.34 MB
|
122 |
+
- **Total amount of disk used:** 1918.71 MB
|
123 |
+
|
124 |
+
An example of 'validation' looks as follows.
|
125 |
+
```
|
126 |
+
This example was too long and was cropped:
|
127 |
+
|
128 |
+
{
|
129 |
+
"answers": {
|
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+
"answer_start": [394],
|
131 |
+
"text": ["بطولتين"]
|
132 |
+
},
|
133 |
+
"context": "\"أقيمت البطولة 21 مرة، شارك في النهائيات 78 دولة، وعدد الفرق التي فازت بالبطولة حتى الآن 8 فرق، ويعد المنتخب البرازيلي الأكثر تت...",
|
134 |
+
"id": "arabic-2387335860751143628-1",
|
135 |
+
"question": "\"كم عدد مرات فوز الأوروغواي ببطولة كاس العالم لكرو القدم؟\"...",
|
136 |
+
"title": "قائمة نهائيات كأس العالم"
|
137 |
+
}
|
138 |
+
```
|
139 |
+
|
140 |
+
### Data Fields
|
141 |
+
|
142 |
+
The data fields are the same among all splits.
|
143 |
+
|
144 |
+
#### primary_task
|
145 |
+
- `passage_answer_candidates`: a dictionary feature containing:
|
146 |
+
- `plaintext_start_byte`: a `int32` feature.
|
147 |
+
- `plaintext_end_byte`: a `int32` feature.
|
148 |
+
- `question_text`: a `string` feature.
|
149 |
+
- `document_title`: a `string` feature.
|
150 |
+
- `language`: a `string` feature.
|
151 |
+
- `annotations`: a dictionary feature containing:
|
152 |
+
- `passage_answer_candidate_index`: a `int32` feature.
|
153 |
+
- `minimal_answers_start_byte`: a `int32` feature.
|
154 |
+
- `minimal_answers_end_byte`: a `int32` feature.
|
155 |
+
- `yes_no_answer`: a `string` feature.
|
156 |
+
- `document_plaintext`: a `string` feature.
|
157 |
+
- `document_url`: a `string` feature.
|
158 |
+
|
159 |
+
#### secondary_task
|
160 |
+
- `id`: a `string` feature.
|
161 |
+
- `title`: a `string` feature.
|
162 |
+
- `context`: a `string` feature.
|
163 |
+
- `question`: a `string` feature.
|
164 |
+
- `answers`: a dictionary feature containing:
|
165 |
+
- `text`: a `string` feature.
|
166 |
+
- `answer_start`: a `int32` feature.
|
167 |
+
|
168 |
+
### Data Splits
|
169 |
+
|
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+
| name | train | validation |
|
171 |
+
| -------------- | -----: | ---------: |
|
172 |
+
| primary_task | 166916 | 18670 |
|
173 |
+
| secondary_task | 49881 | 5077 |
|
174 |
+
|
175 |
+
## Dataset Creation
|
176 |
+
|
177 |
+
### Curation Rationale
|
178 |
+
|
179 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
180 |
+
|
181 |
+
### Source Data
|
182 |
+
|
183 |
+
#### Initial Data Collection and Normalization
|
184 |
+
|
185 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
186 |
+
|
187 |
+
#### Who are the source language producers?
|
188 |
+
|
189 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
190 |
+
|
191 |
+
### Annotations
|
192 |
+
|
193 |
+
#### Annotation process
|
194 |
+
|
195 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
196 |
+
|
197 |
+
#### Who are the annotators?
|
198 |
+
|
199 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
200 |
+
|
201 |
+
### Personal and Sensitive Information
|
202 |
+
|
203 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
204 |
+
|
205 |
+
## Considerations for Using the Data
|
206 |
+
|
207 |
+
### Social Impact of Dataset
|
208 |
+
|
209 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
210 |
+
|
211 |
+
### Discussion of Biases
|
212 |
+
|
213 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
214 |
+
|
215 |
+
### Other Known Limitations
|
216 |
+
|
217 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
218 |
+
|
219 |
+
## Additional Information
|
220 |
+
|
221 |
+
### Dataset Curators
|
222 |
+
|
223 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
224 |
+
|
225 |
+
### Licensing Information
|
226 |
+
|
227 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
228 |
+
|
229 |
+
### Citation Information
|
230 |
+
|
231 |
+
```
|
232 |
+
@article{tydiqa,
|
233 |
+
title = {TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages},
|
234 |
+
author = {Jonathan H. Clark and Eunsol Choi and Michael Collins and Dan Garrette and Tom Kwiatkowski and Vitaly Nikolaev and Jennimaria Palomaki}
|
235 |
+
year = {2020},
|
236 |
+
journal = {Transactions of the Association for Computational Linguistics}
|
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+
}
|
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+
|
239 |
+
```
|
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+
|
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+
|
242 |
+
### Contributions
|
243 |
+
|
244 |
+
Thanks to [@thomwolf](https://github.com/thomwolf), [@albertvillanova](https://github.com/albertvillanova), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.
|
tidyqa_answerable/.DS_Store
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Binary file (6.15 kB). View file
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tidyqa_answerable/dataset_dict.json
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{"splits": ["train", "validation"]}
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tidyqa_answerable/train/dataset.arrow
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version https://git-lfs.github.com/spec/v1
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oid sha256:f11d6ec19d1be525da433ffc8050d7b03cd8b5e8c0903463c0fb5af12136b307
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+
size 124768536
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tidyqa_answerable/train/dataset_info.json
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