Datasets:
Tasks:
Question Answering
Formats:
parquet
Sub-tasks:
multiple-choice-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
add dataset_info in dataset metadata
Browse files
README.md
CHANGED
@@ -19,6 +19,193 @@ task_ids:
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- multiple-choice-qa
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paperswithcode_id: codah
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pretty_name: COmmonsense Dataset Adversarially-authored by Humans
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---
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# Dataset Card for COmmonsense Dataset Adversarially-authored by Humans
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@@ -144,4 +331,4 @@ pretty_name: COmmonsense Dataset Adversarially-authored by Humans
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144 |
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### Contributions
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-
Thanks to [@patil-suraj](https://github.com/patil-suraj) for adding this dataset.
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19 |
- multiple-choice-qa
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20 |
paperswithcode_id: codah
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pretty_name: COmmonsense Dataset Adversarially-authored by Humans
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+
dataset_info:
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+
- config_name: codah
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+
features:
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+
- name: id
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+
dtype: int32
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+
- name: question_category
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+
dtype:
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+
class_label:
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names:
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+
0: Idioms
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+
1: Reference
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+
2: Polysemy
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+
3: Negation
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+
4: Quantitative
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+
5: Others
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+
- name: question_propmt
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+
dtype: string
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+
- name: candidate_answers
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+
sequence: string
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+
- name: correct_answer_idx
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+
dtype: int32
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+
splits:
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+
- name: train
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+
num_bytes: 571208
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+
num_examples: 2776
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+
download_size: 485130
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+
dataset_size: 571208
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+
- config_name: fold_0
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+
features:
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+
- name: id
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+
dtype: int32
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+
- name: question_category
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+
dtype:
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+
class_label:
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+
names:
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+
0: Idioms
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+
1: Reference
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+
2: Polysemy
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+
3: Negation
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+
4: Quantitative
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+
5: Others
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+
- name: question_propmt
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+
dtype: string
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+
- name: candidate_answers
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+
sequence: string
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+
- name: correct_answer_idx
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+
dtype: int32
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+
splits:
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+
- name: test
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+
num_bytes: 112109
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+
num_examples: 555
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+
- name: train
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+
num_bytes: 344912
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75 |
+
num_examples: 1665
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+
- name: validation
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+
num_bytes: 114211
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78 |
+
num_examples: 556
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79 |
+
download_size: 485130
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80 |
+
dataset_size: 571232
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+
- config_name: fold_1
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+
features:
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+
- name: id
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+
dtype: int32
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+
- name: question_category
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+
dtype:
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+
class_label:
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+
names:
|
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+
0: Idioms
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+
1: Reference
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+
2: Polysemy
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92 |
+
3: Negation
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+
4: Quantitative
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+
5: Others
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+
- name: question_propmt
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+
dtype: string
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+
- name: candidate_answers
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+
sequence: string
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99 |
+
- name: correct_answer_idx
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100 |
+
dtype: int32
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101 |
+
splits:
|
102 |
+
- name: test
|
103 |
+
num_bytes: 116031
|
104 |
+
num_examples: 555
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105 |
+
- name: train
|
106 |
+
num_bytes: 340990
|
107 |
+
num_examples: 1665
|
108 |
+
- name: validation
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109 |
+
num_bytes: 114211
|
110 |
+
num_examples: 556
|
111 |
+
download_size: 485130
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112 |
+
dataset_size: 571232
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+
- config_name: fold_2
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+
features:
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+
- name: id
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+
dtype: int32
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+
- name: question_category
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118 |
+
dtype:
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+
class_label:
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+
names:
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121 |
+
0: Idioms
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122 |
+
1: Reference
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123 |
+
2: Polysemy
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124 |
+
3: Negation
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125 |
+
4: Quantitative
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126 |
+
5: Others
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127 |
+
- name: question_propmt
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128 |
+
dtype: string
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129 |
+
- name: candidate_answers
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130 |
+
sequence: string
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131 |
+
- name: correct_answer_idx
|
132 |
+
dtype: int32
|
133 |
+
splits:
|
134 |
+
- name: test
|
135 |
+
num_bytes: 114728
|
136 |
+
num_examples: 555
|
137 |
+
- name: train
|
138 |
+
num_bytes: 342293
|
139 |
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num_examples: 1665
|
140 |
+
- name: validation
|
141 |
+
num_bytes: 114211
|
142 |
+
num_examples: 556
|
143 |
+
download_size: 485130
|
144 |
+
dataset_size: 571232
|
145 |
+
- config_name: fold_3
|
146 |
+
features:
|
147 |
+
- name: id
|
148 |
+
dtype: int32
|
149 |
+
- name: question_category
|
150 |
+
dtype:
|
151 |
+
class_label:
|
152 |
+
names:
|
153 |
+
0: Idioms
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154 |
+
1: Reference
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155 |
+
2: Polysemy
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156 |
+
3: Negation
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157 |
+
4: Quantitative
|
158 |
+
5: Others
|
159 |
+
- name: question_propmt
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160 |
+
dtype: string
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161 |
+
- name: candidate_answers
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162 |
+
sequence: string
|
163 |
+
- name: correct_answer_idx
|
164 |
+
dtype: int32
|
165 |
+
splits:
|
166 |
+
- name: test
|
167 |
+
num_bytes: 114177
|
168 |
+
num_examples: 555
|
169 |
+
- name: train
|
170 |
+
num_bytes: 342844
|
171 |
+
num_examples: 1665
|
172 |
+
- name: validation
|
173 |
+
num_bytes: 114211
|
174 |
+
num_examples: 556
|
175 |
+
download_size: 485130
|
176 |
+
dataset_size: 571232
|
177 |
+
- config_name: fold_4
|
178 |
+
features:
|
179 |
+
- name: id
|
180 |
+
dtype: int32
|
181 |
+
- name: question_category
|
182 |
+
dtype:
|
183 |
+
class_label:
|
184 |
+
names:
|
185 |
+
0: Idioms
|
186 |
+
1: Reference
|
187 |
+
2: Polysemy
|
188 |
+
3: Negation
|
189 |
+
4: Quantitative
|
190 |
+
5: Others
|
191 |
+
- name: question_propmt
|
192 |
+
dtype: string
|
193 |
+
- name: candidate_answers
|
194 |
+
sequence: string
|
195 |
+
- name: correct_answer_idx
|
196 |
+
dtype: int32
|
197 |
+
splits:
|
198 |
+
- name: test
|
199 |
+
num_bytes: 114211
|
200 |
+
num_examples: 556
|
201 |
+
- name: train
|
202 |
+
num_bytes: 342844
|
203 |
+
num_examples: 1665
|
204 |
+
- name: validation
|
205 |
+
num_bytes: 114177
|
206 |
+
num_examples: 555
|
207 |
+
download_size: 485130
|
208 |
+
dataset_size: 571232
|
209 |
---
|
210 |
|
211 |
# Dataset Card for COmmonsense Dataset Adversarially-authored by Humans
|
|
|
331 |
|
332 |
### Contributions
|
333 |
|
334 |
+
Thanks to [@patil-suraj](https://github.com/patil-suraj) for adding this dataset.
|