Datasets:
Quote class label ids in YAML
Browse filesWe fixed a bug recently where `datasets` wouldn't use quote for class label ids. Now it does, in order to let the Hugging face Hub parse the YAML correctly.
README.md
CHANGED
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@@ -54,11 +54,11 @@ dataset_info:
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| 54 |
dtype:
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class_label:
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names:
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| 57 |
-
0: sadness
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| 58 |
-
1: anger
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| 59 |
-
2: love
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| 60 |
-
3: fear
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| 61 |
-
4: happy
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splits:
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- name: train
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num_bytes: 686418
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@@ -79,9 +79,9 @@ dataset_info:
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dtype:
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class_label:
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names:
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| 82 |
-
0: positive
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| 83 |
-
1: neutral
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| 84 |
-
2: negative
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splits:
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- name: train
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num_bytes: 2209874
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@@ -102,44 +102,44 @@ dataset_info:
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dtype:
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class_label:
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names:
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| 105 |
-
0: negative
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| 106 |
-
1: neutral
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| 107 |
-
2: positive
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- name: machine
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| 109 |
dtype:
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class_label:
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| 111 |
names:
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| 112 |
-
0: negative
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| 113 |
-
1: neutral
|
| 114 |
-
2: positive
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| 115 |
- name: others
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| 116 |
dtype:
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| 117 |
class_label:
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| 118 |
names:
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| 119 |
-
0: negative
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| 120 |
-
1: neutral
|
| 121 |
-
2: positive
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| 122 |
- name: part
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| 123 |
dtype:
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| 124 |
class_label:
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| 125 |
names:
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| 126 |
-
0: negative
|
| 127 |
-
1: neutral
|
| 128 |
-
2: positive
|
| 129 |
- name: price
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| 130 |
dtype:
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| 131 |
class_label:
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| 132 |
names:
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| 133 |
-
0: negative
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| 134 |
-
1: neutral
|
| 135 |
-
2: positive
|
| 136 |
- name: service
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| 137 |
dtype:
|
| 138 |
class_label:
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| 139 |
names:
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| 140 |
-
0: negative
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| 141 |
-
1: neutral
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| 142 |
-
2: positive
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splits:
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| 144 |
- name: train
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num_bytes: 110415
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@@ -160,82 +160,82 @@ dataset_info:
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dtype:
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class_label:
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names:
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| 163 |
-
0: neg
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| 164 |
-
1: neut
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| 165 |
-
2: pos
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| 166 |
-
3: neg_pos
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| 167 |
- name: air_panas
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| 168 |
dtype:
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| 169 |
class_label:
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| 170 |
names:
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| 171 |
-
0: neg
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| 172 |
-
1: neut
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| 173 |
-
2: pos
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| 174 |
-
3: neg_pos
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| 175 |
- name: bau
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| 176 |
dtype:
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| 177 |
class_label:
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| 178 |
names:
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| 179 |
-
0: neg
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| 180 |
-
1: neut
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| 181 |
-
2: pos
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| 182 |
-
3: neg_pos
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| 183 |
- name: general
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| 184 |
dtype:
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| 185 |
class_label:
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| 186 |
names:
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| 187 |
-
0: neg
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| 188 |
-
1: neut
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| 189 |
-
2: pos
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| 190 |
-
3: neg_pos
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| 191 |
- name: kebersihan
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| 192 |
dtype:
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| 193 |
class_label:
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| 194 |
names:
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| 195 |
-
0: neg
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| 196 |
-
1: neut
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| 197 |
-
2: pos
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| 198 |
-
3: neg_pos
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| 199 |
- name: linen
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| 200 |
dtype:
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| 201 |
class_label:
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| 202 |
names:
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| 203 |
-
0: neg
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| 204 |
-
1: neut
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| 205 |
-
2: pos
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| 206 |
-
3: neg_pos
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| 207 |
- name: service
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| 208 |
dtype:
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| 209 |
class_label:
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| 210 |
names:
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| 211 |
-
0: neg
|
| 212 |
-
1: neut
|
| 213 |
-
2: pos
|
| 214 |
-
3: neg_pos
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| 215 |
- name: sunrise_meal
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| 216 |
dtype:
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| 217 |
class_label:
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| 218 |
names:
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| 219 |
-
0: neg
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| 220 |
-
1: neut
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| 221 |
-
2: pos
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| 222 |
-
3: neg_pos
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| 223 |
- name: tv
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| 224 |
dtype:
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| 225 |
class_label:
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| 226 |
names:
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| 227 |
-
0: neg
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| 228 |
-
1: neut
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| 229 |
-
2: pos
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| 230 |
-
3: neg_pos
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| 231 |
- name: wifi
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| 232 |
dtype:
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class_label:
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| 234 |
names:
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| 235 |
-
0: neg
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| 236 |
-
1: neut
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| 237 |
-
2: pos
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-
3: neg_pos
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splits:
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- name: train
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num_bytes: 458177
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@@ -260,8 +260,8 @@ dataset_info:
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dtype:
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class_label:
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names:
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| 263 |
-
0: NotEntail
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-
1: Entail_or_Paraphrase
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splits:
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- name: train
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num_bytes: 99999
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@@ -282,32 +282,32 @@ dataset_info:
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sequence:
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class_label:
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names:
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| 285 |
-
0: B-PPO
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| 286 |
-
1: B-KUA
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| 287 |
-
2: B-ADV
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| 288 |
-
3: B-PRN
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| 289 |
-
4: B-VBI
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| 290 |
-
5: B-PAR
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| 291 |
-
6: B-VBP
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| 292 |
-
7: B-NNP
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| 293 |
-
8: B-UNS
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| 294 |
-
9: B-VBT
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| 295 |
-
10: B-VBL
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| 296 |
-
11: B-NNO
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| 297 |
-
12: B-ADJ
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| 298 |
-
13: B-PRR
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| 299 |
-
14: B-PRK
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| 300 |
-
15: B-CCN
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| 301 |
-
16: B-$$$
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| 302 |
-
17: B-ADK
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| 303 |
-
18: B-ART
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| 304 |
-
19: B-CSN
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| 305 |
-
20: B-NUM
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| 306 |
-
21: B-SYM
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| 307 |
-
22: B-INT
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| 308 |
-
23: B-NEG
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| 309 |
-
24: B-PRI
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-
25: B-VBE
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splits:
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- name: train
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num_bytes: 2751348
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@@ -328,47 +328,47 @@ dataset_info:
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sequence:
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class_label:
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names:
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-
0: B-PR
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-
1: B-CD
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| 333 |
-
2: I-PR
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| 334 |
-
3: B-SYM
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| 335 |
-
4: B-JJ
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| 336 |
-
5: B-DT
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| 337 |
-
6: I-UH
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| 338 |
-
7: I-NND
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| 339 |
-
8: B-SC
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| 340 |
-
9: I-WH
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| 341 |
-
10: I-IN
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| 342 |
-
11: I-NNP
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| 343 |
-
12: I-VB
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| 344 |
-
13: B-IN
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| 345 |
-
14: B-NND
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-
15: I-CD
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| 347 |
-
16: I-JJ
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| 348 |
-
17: I-X
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-
18: B-OD
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| 350 |
-
19: B-RP
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| 351 |
-
20: B-RB
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| 352 |
-
21: B-NNP
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| 353 |
-
22: I-RB
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-
23: I-Z
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| 355 |
-
24: B-CC
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| 356 |
-
25: B-NEG
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| 357 |
-
26: B-VB
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| 358 |
-
27: B-NN
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-
28: B-MD
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-
29: B-UH
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| 361 |
-
30: I-NN
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| 362 |
-
31: B-PRP
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| 363 |
-
32: I-SC
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| 364 |
-
33: B-Z
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-
34: I-PRP
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| 366 |
-
35: I-OD
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| 367 |
-
36: I-SYM
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| 368 |
-
37: B-WH
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-
38: B-FW
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-
39: I-CC
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-
40: B-X
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splits:
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- name: train
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num_bytes: 3772459
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@@ -389,11 +389,11 @@ dataset_info:
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sequence:
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class_label:
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names:
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| 392 |
-
0: I-SENTIMENT
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-
1: O
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| 394 |
-
2: I-ASPECT
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| 395 |
-
3: B-SENTIMENT
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-
4: B-ASPECT
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splits:
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- name: train
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num_bytes: 817983
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@@ -414,9 +414,9 @@ dataset_info:
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sequence:
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class_label:
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names:
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-
0: O
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| 418 |
-
1: B
|
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-
2: I
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splits:
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- name: train
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num_bytes: 173961
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@@ -437,13 +437,13 @@ dataset_info:
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sequence:
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class_label:
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names:
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| 440 |
-
0: I-PERSON
|
| 441 |
-
1: B-ORGANISATION
|
| 442 |
-
2: I-ORGANISATION
|
| 443 |
-
3: B-PLACE
|
| 444 |
-
4: I-PLACE
|
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-
5: O
|
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-
6: B-PERSON
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splits:
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- name: train
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num_bytes: 960710
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@@ -464,17 +464,17 @@ dataset_info:
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sequence:
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class_label:
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names:
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| 467 |
-
0: I-PPL
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| 468 |
-
1: B-EVT
|
| 469 |
-
2: B-PLC
|
| 470 |
-
3: I-IND
|
| 471 |
-
4: B-IND
|
| 472 |
-
5: B-FNB
|
| 473 |
-
6: I-EVT
|
| 474 |
-
7: B-PPL
|
| 475 |
-
8: I-PLC
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| 476 |
-
9: O
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-
10: I-FNB
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splits:
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- name: train
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num_bytes: 2751348
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@@ -497,9 +497,9 @@ dataset_info:
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sequence:
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class_label:
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names:
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-
0: O
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-
1: B
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-
2: I
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splits:
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- name: train
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num_bytes: 2454368
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|
|
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dtype:
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class_label:
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names:
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| 57 |
+
'0': sadness
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| 58 |
+
'1': anger
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| 59 |
+
'2': love
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| 60 |
+
'3': fear
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| 61 |
+
'4': happy
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splits:
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- name: train
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num_bytes: 686418
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|
|
|
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dtype:
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class_label:
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names:
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+
'0': positive
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+
'1': neutral
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+
'2': negative
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splits:
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- name: train
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num_bytes: 2209874
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|
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dtype:
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class_label:
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| 104 |
names:
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| 105 |
+
'0': negative
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+
'1': neutral
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+
'2': positive
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| 108 |
- name: machine
|
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dtype:
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class_label:
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names:
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| 112 |
+
'0': negative
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| 113 |
+
'1': neutral
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+
'2': positive
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| 115 |
- name: others
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dtype:
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class_label:
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| 118 |
names:
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| 119 |
+
'0': negative
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| 120 |
+
'1': neutral
|
| 121 |
+
'2': positive
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| 122 |
- name: part
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| 123 |
dtype:
|
| 124 |
class_label:
|
| 125 |
names:
|
| 126 |
+
'0': negative
|
| 127 |
+
'1': neutral
|
| 128 |
+
'2': positive
|
| 129 |
- name: price
|
| 130 |
dtype:
|
| 131 |
class_label:
|
| 132 |
names:
|
| 133 |
+
'0': negative
|
| 134 |
+
'1': neutral
|
| 135 |
+
'2': positive
|
| 136 |
- name: service
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| 137 |
dtype:
|
| 138 |
class_label:
|
| 139 |
names:
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| 140 |
+
'0': negative
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+
'1': neutral
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+
'2': positive
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splits:
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| 144 |
- name: train
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num_bytes: 110415
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|
|
| 160 |
dtype:
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class_label:
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| 162 |
names:
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| 163 |
+
'0': neg
|
| 164 |
+
'1': neut
|
| 165 |
+
'2': pos
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| 166 |
+
'3': neg_pos
|
| 167 |
- name: air_panas
|
| 168 |
dtype:
|
| 169 |
class_label:
|
| 170 |
names:
|
| 171 |
+
'0': neg
|
| 172 |
+
'1': neut
|
| 173 |
+
'2': pos
|
| 174 |
+
'3': neg_pos
|
| 175 |
- name: bau
|
| 176 |
dtype:
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class_label:
|
| 178 |
names:
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| 179 |
+
'0': neg
|
| 180 |
+
'1': neut
|
| 181 |
+
'2': pos
|
| 182 |
+
'3': neg_pos
|
| 183 |
- name: general
|
| 184 |
dtype:
|
| 185 |
class_label:
|
| 186 |
names:
|
| 187 |
+
'0': neg
|
| 188 |
+
'1': neut
|
| 189 |
+
'2': pos
|
| 190 |
+
'3': neg_pos
|
| 191 |
- name: kebersihan
|
| 192 |
dtype:
|
| 193 |
class_label:
|
| 194 |
names:
|
| 195 |
+
'0': neg
|
| 196 |
+
'1': neut
|
| 197 |
+
'2': pos
|
| 198 |
+
'3': neg_pos
|
| 199 |
- name: linen
|
| 200 |
dtype:
|
| 201 |
class_label:
|
| 202 |
names:
|
| 203 |
+
'0': neg
|
| 204 |
+
'1': neut
|
| 205 |
+
'2': pos
|
| 206 |
+
'3': neg_pos
|
| 207 |
- name: service
|
| 208 |
dtype:
|
| 209 |
class_label:
|
| 210 |
names:
|
| 211 |
+
'0': neg
|
| 212 |
+
'1': neut
|
| 213 |
+
'2': pos
|
| 214 |
+
'3': neg_pos
|
| 215 |
- name: sunrise_meal
|
| 216 |
dtype:
|
| 217 |
class_label:
|
| 218 |
names:
|
| 219 |
+
'0': neg
|
| 220 |
+
'1': neut
|
| 221 |
+
'2': pos
|
| 222 |
+
'3': neg_pos
|
| 223 |
- name: tv
|
| 224 |
dtype:
|
| 225 |
class_label:
|
| 226 |
names:
|
| 227 |
+
'0': neg
|
| 228 |
+
'1': neut
|
| 229 |
+
'2': pos
|
| 230 |
+
'3': neg_pos
|
| 231 |
- name: wifi
|
| 232 |
dtype:
|
| 233 |
class_label:
|
| 234 |
names:
|
| 235 |
+
'0': neg
|
| 236 |
+
'1': neut
|
| 237 |
+
'2': pos
|
| 238 |
+
'3': neg_pos
|
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splits:
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- name: train
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num_bytes: 458177
|
|
|
|
| 260 |
dtype:
|
| 261 |
class_label:
|
| 262 |
names:
|
| 263 |
+
'0': NotEntail
|
| 264 |
+
'1': Entail_or_Paraphrase
|
| 265 |
splits:
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| 266 |
- name: train
|
| 267 |
num_bytes: 99999
|
|
|
|
| 282 |
sequence:
|
| 283 |
class_label:
|
| 284 |
names:
|
| 285 |
+
'0': B-PPO
|
| 286 |
+
'1': B-KUA
|
| 287 |
+
'2': B-ADV
|
| 288 |
+
'3': B-PRN
|
| 289 |
+
'4': B-VBI
|
| 290 |
+
'5': B-PAR
|
| 291 |
+
'6': B-VBP
|
| 292 |
+
'7': B-NNP
|
| 293 |
+
'8': B-UNS
|
| 294 |
+
'9': B-VBT
|
| 295 |
+
'10': B-VBL
|
| 296 |
+
'11': B-NNO
|
| 297 |
+
'12': B-ADJ
|
| 298 |
+
'13': B-PRR
|
| 299 |
+
'14': B-PRK
|
| 300 |
+
'15': B-CCN
|
| 301 |
+
'16': B-$$$
|
| 302 |
+
'17': B-ADK
|
| 303 |
+
'18': B-ART
|
| 304 |
+
'19': B-CSN
|
| 305 |
+
'20': B-NUM
|
| 306 |
+
'21': B-SYM
|
| 307 |
+
'22': B-INT
|
| 308 |
+
'23': B-NEG
|
| 309 |
+
'24': B-PRI
|
| 310 |
+
'25': B-VBE
|
| 311 |
splits:
|
| 312 |
- name: train
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| 313 |
num_bytes: 2751348
|
|
|
|
| 328 |
sequence:
|
| 329 |
class_label:
|
| 330 |
names:
|
| 331 |
+
'0': B-PR
|
| 332 |
+
'1': B-CD
|
| 333 |
+
'2': I-PR
|
| 334 |
+
'3': B-SYM
|
| 335 |
+
'4': B-JJ
|
| 336 |
+
'5': B-DT
|
| 337 |
+
'6': I-UH
|
| 338 |
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