Datasets:
add dataset_info in dataset metadata
Browse files
README.md
CHANGED
@@ -45,6 +45,473 @@ tags:
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- keyphrase-extraction
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46 |
- span-extraction
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- aspect-based-sentiment-analysis
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48 |
---
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49 |
|
50 |
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45 |
- keyphrase-extraction
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46 |
- span-extraction
|
47 |
- aspect-based-sentiment-analysis
|
48 |
+
dataset_info:
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49 |
+
- config_name: emot
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+
features:
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51 |
+
- name: tweet
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+
dtype: string
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+
- name: label
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+
dtype:
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+
class_label:
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+
names:
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+
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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62 |
+
splits:
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+
- name: test
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64 |
+
num_bytes: 84856
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65 |
+
num_examples: 440
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66 |
+
- name: train
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67 |
+
num_bytes: 686418
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68 |
+
num_examples: 3521
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69 |
+
- name: validation
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70 |
+
num_bytes: 84082
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+
num_examples: 440
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+
download_size: 840917
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+
dataset_size: 855356
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+
- config_name: smsa
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+
features:
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+
- name: text
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dtype: string
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78 |
+
- name: label
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79 |
+
dtype:
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+
class_label:
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+
names:
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+
0: positive
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83 |
+
1: neutral
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84 |
+
2: negative
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85 |
+
splits:
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+
- name: test
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+
num_bytes: 77041
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+
num_examples: 500
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+
- name: train
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90 |
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num_bytes: 2209874
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num_examples: 11000
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+
- name: validation
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93 |
+
num_bytes: 249629
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+
num_examples: 1260
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+
download_size: 2509229
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+
dataset_size: 2536544
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+
- config_name: casa
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+
features:
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- name: sentence
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dtype: string
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+
- name: fuel
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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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106 |
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1: neutral
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107 |
+
2: positive
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108 |
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- name: machine
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109 |
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dtype:
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110 |
+
class_label:
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111 |
+
names:
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112 |
+
0: negative
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113 |
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1: neutral
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114 |
+
2: positive
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115 |
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- name: others
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116 |
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dtype:
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+
class_label:
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names:
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0: negative
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120 |
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1: neutral
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121 |
+
2: positive
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122 |
+
- name: part
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123 |
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dtype:
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class_label:
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names:
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0: negative
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127 |
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1: neutral
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128 |
+
2: positive
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129 |
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- name: price
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130 |
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dtype:
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+
class_label:
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names:
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0: negative
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134 |
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1: neutral
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135 |
+
2: positive
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136 |
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- name: service
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137 |
+
dtype:
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+
class_label:
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+
names:
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+
0: negative
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141 |
+
1: neutral
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142 |
+
2: positive
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143 |
+
splits:
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+
- name: test
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145 |
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num_bytes: 23553
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146 |
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num_examples: 180
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147 |
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- name: train
|
148 |
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num_bytes: 110415
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149 |
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num_examples: 810
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150 |
+
- name: validation
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151 |
+
num_bytes: 11993
|
152 |
+
num_examples: 90
|
153 |
+
download_size: 144903
|
154 |
+
dataset_size: 145961
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155 |
+
- config_name: hoasa
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156 |
+
features:
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+
- name: sentence
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158 |
+
dtype: string
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159 |
+
- name: ac
|
160 |
+
dtype:
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161 |
+
class_label:
|
162 |
+
names:
|
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+
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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+
class_label:
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+
names:
|
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+
0: neg
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172 |
+
1: neut
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173 |
+
2: pos
|
174 |
+
3: neg_pos
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175 |
+
- name: bau
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176 |
+
dtype:
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177 |
+
class_label:
|
178 |
+
names:
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179 |
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0: neg
|
180 |
+
1: neut
|
181 |
+
2: pos
|
182 |
+
3: neg_pos
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183 |
+
- name: general
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184 |
+
dtype:
|
185 |
+
class_label:
|
186 |
+
names:
|
187 |
+
0: neg
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188 |
+
1: neut
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189 |
+
2: pos
|
190 |
+
3: neg_pos
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191 |
+
- name: kebersihan
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192 |
+
dtype:
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193 |
+
class_label:
|
194 |
+
names:
|
195 |
+
0: neg
|
196 |
+
1: neut
|
197 |
+
2: pos
|
198 |
+
3: neg_pos
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199 |
+
- name: linen
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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 |
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1: neut
|
213 |
+
2: pos
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214 |
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3: neg_pos
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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
|
239 |
+
splits:
|
240 |
+
- name: test
|
241 |
+
num_bytes: 56399
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242 |
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num_examples: 286
|
243 |
+
- name: train
|
244 |
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num_bytes: 458177
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245 |
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num_examples: 2283
|
246 |
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- name: validation
|
247 |
+
num_bytes: 58248
|
248 |
+
num_examples: 285
|
249 |
+
download_size: 477314
|
250 |
+
dataset_size: 572824
|
251 |
+
- config_name: wrete
|
252 |
+
features:
|
253 |
+
- name: premise
|
254 |
+
dtype: string
|
255 |
+
- name: hypothesis
|
256 |
+
dtype: string
|
257 |
+
- name: category
|
258 |
+
dtype: string
|
259 |
+
- name: label
|
260 |
+
dtype:
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261 |
+
class_label:
|
262 |
+
names:
|
263 |
+
0: NotEntail
|
264 |
+
1: Entail_or_Paraphrase
|
265 |
+
splits:
|
266 |
+
- name: test
|
267 |
+
num_bytes: 32617
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268 |
+
num_examples: 100
|
269 |
+
- name: train
|
270 |
+
num_bytes: 99999
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271 |
+
num_examples: 300
|
272 |
+
- name: validation
|
273 |
+
num_bytes: 18049
|
274 |
+
num_examples: 50
|
275 |
+
download_size: 151018
|
276 |
+
dataset_size: 150665
|
277 |
+
- config_name: posp
|
278 |
+
features:
|
279 |
+
- name: tokens
|
280 |
+
sequence: string
|
281 |
+
- name: pos_tags
|
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: test
|
313 |
+
num_bytes: 350720
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314 |
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num_examples: 840
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315 |
+
- name: train
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316 |
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num_bytes: 2751348
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317 |
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num_examples: 6720
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318 |
+
- name: validation
|
319 |
+
num_bytes: 343924
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320 |
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num_examples: 840
|
321 |
+
download_size: 2407206
|
322 |
+
dataset_size: 3445992
|
323 |
+
- config_name: bapos
|
324 |
+
features:
|
325 |
+
- name: tokens
|
326 |
+
sequence: string
|
327 |
+
- name: pos_tags
|
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 |
+
7: I-NND
|
339 |
+
8: B-SC
|
340 |
+
9: I-WH
|
341 |
+
10: I-IN
|
342 |
+
11: I-NNP
|
343 |
+
12: I-VB
|
344 |
+
13: B-IN
|
345 |
+
14: B-NND
|
346 |
+
15: I-CD
|
347 |
+
16: I-JJ
|
348 |
+
17: I-X
|
349 |
+
18: B-OD
|
350 |
+
19: B-RP
|
351 |
+
20: B-RB
|
352 |
+
21: B-NNP
|
353 |
+
22: I-RB
|
354 |
+
23: I-Z
|
355 |
+
24: B-CC
|
356 |
+
25: B-NEG
|
357 |
+
26: B-VB
|
358 |
+
27: B-NN
|
359 |
+
28: B-MD
|
360 |
+
29: B-UH
|
361 |
+
30: I-NN
|
362 |
+
31: B-PRP
|
363 |
+
32: I-SC
|
364 |
+
33: B-Z
|
365 |
+
34: I-PRP
|
366 |
+
35: I-OD
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---
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