Datasets:
add dataset_info in dataset metadata
Browse files
README.md
CHANGED
@@ -186,6 +186,1335 @@ configs:
|
|
186 |
- yi
|
187 |
- zh
|
188 |
- zhw
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
189 |
---
|
190 |
|
191 |
# Dataset Card for SentiWS
|
@@ -403,4 +1732,4 @@ doi = {10.3115/v1/P14-2063}
|
|
403 |
}
|
404 |
### Contributions
|
405 |
|
406 |
-
Thanks to [@KMFODA](https://github.com/KMFODA) for adding this dataset.
|
|
|
186 |
- yi
|
187 |
- zh
|
188 |
- zhw
|
189 |
+
dataset_info:
|
190 |
+
- config_name: af
|
191 |
+
features:
|
192 |
+
- name: word
|
193 |
+
dtype: string
|
194 |
+
- name: sentiment
|
195 |
+
dtype:
|
196 |
+
class_label:
|
197 |
+
names:
|
198 |
+
0: negative
|
199 |
+
1: positive
|
200 |
+
splits:
|
201 |
+
- name: train
|
202 |
+
num_bytes: 45954
|
203 |
+
num_examples: 2299
|
204 |
+
download_size: 0
|
205 |
+
dataset_size: 45954
|
206 |
+
- config_name: an
|
207 |
+
features:
|
208 |
+
- name: word
|
209 |
+
dtype: string
|
210 |
+
- name: sentiment
|
211 |
+
dtype:
|
212 |
+
class_label:
|
213 |
+
names:
|
214 |
+
0: negative
|
215 |
+
1: positive
|
216 |
+
splits:
|
217 |
+
- name: train
|
218 |
+
num_bytes: 1832
|
219 |
+
num_examples: 97
|
220 |
+
download_size: 0
|
221 |
+
dataset_size: 1832
|
222 |
+
- config_name: ar
|
223 |
+
features:
|
224 |
+
- name: word
|
225 |
+
dtype: string
|
226 |
+
- name: sentiment
|
227 |
+
dtype:
|
228 |
+
class_label:
|
229 |
+
names:
|
230 |
+
0: negative
|
231 |
+
1: positive
|
232 |
+
splits:
|
233 |
+
- name: train
|
234 |
+
num_bytes: 58707
|
235 |
+
num_examples: 2794
|
236 |
+
download_size: 0
|
237 |
+
dataset_size: 58707
|
238 |
+
- config_name: az
|
239 |
+
features:
|
240 |
+
- name: word
|
241 |
+
dtype: string
|
242 |
+
- name: sentiment
|
243 |
+
dtype:
|
244 |
+
class_label:
|
245 |
+
names:
|
246 |
+
0: negative
|
247 |
+
1: positive
|
248 |
+
splits:
|
249 |
+
- name: train
|
250 |
+
num_bytes: 40044
|
251 |
+
num_examples: 1979
|
252 |
+
download_size: 0
|
253 |
+
dataset_size: 40044
|
254 |
+
- config_name: be
|
255 |
+
features:
|
256 |
+
- name: word
|
257 |
+
dtype: string
|
258 |
+
- name: sentiment
|
259 |
+
dtype:
|
260 |
+
class_label:
|
261 |
+
names:
|
262 |
+
0: negative
|
263 |
+
1: positive
|
264 |
+
splits:
|
265 |
+
- name: train
|
266 |
+
num_bytes: 41915
|
267 |
+
num_examples: 1526
|
268 |
+
download_size: 0
|
269 |
+
dataset_size: 41915
|
270 |
+
- config_name: bg
|
271 |
+
features:
|
272 |
+
- name: word
|
273 |
+
dtype: string
|
274 |
+
- name: sentiment
|
275 |
+
dtype:
|
276 |
+
class_label:
|
277 |
+
names:
|
278 |
+
0: negative
|
279 |
+
1: positive
|
280 |
+
splits:
|
281 |
+
- name: train
|
282 |
+
num_bytes: 78779
|
283 |
+
num_examples: 2847
|
284 |
+
download_size: 0
|
285 |
+
dataset_size: 78779
|
286 |
+
- config_name: bn
|
287 |
+
features:
|
288 |
+
- name: word
|
289 |
+
dtype: string
|
290 |
+
- name: sentiment
|
291 |
+
dtype:
|
292 |
+
class_label:
|
293 |
+
names:
|
294 |
+
0: negative
|
295 |
+
1: positive
|
296 |
+
splits:
|
297 |
+
- name: train
|
298 |
+
num_bytes: 70928
|
299 |
+
num_examples: 2393
|
300 |
+
download_size: 0
|
301 |
+
dataset_size: 70928
|
302 |
+
- config_name: br
|
303 |
+
features:
|
304 |
+
- name: word
|
305 |
+
dtype: string
|
306 |
+
- name: sentiment
|
307 |
+
dtype:
|
308 |
+
class_label:
|
309 |
+
names:
|
310 |
+
0: negative
|
311 |
+
1: positive
|
312 |
+
splits:
|
313 |
+
- name: train
|
314 |
+
num_bytes: 3234
|
315 |
+
num_examples: 184
|
316 |
+
download_size: 0
|
317 |
+
dataset_size: 3234
|
318 |
+
- config_name: bs
|
319 |
+
features:
|
320 |
+
- name: word
|
321 |
+
dtype: string
|
322 |
+
- name: sentiment
|
323 |
+
dtype:
|
324 |
+
class_label:
|
325 |
+
names:
|
326 |
+
0: negative
|
327 |
+
1: positive
|
328 |
+
splits:
|
329 |
+
- name: train
|
330 |
+
num_bytes: 39890
|
331 |
+
num_examples: 2020
|
332 |
+
download_size: 0
|
333 |
+
dataset_size: 39890
|
334 |
+
- config_name: ca
|
335 |
+
features:
|
336 |
+
- name: word
|
337 |
+
dtype: string
|
338 |
+
- name: sentiment
|
339 |
+
dtype:
|
340 |
+
class_label:
|
341 |
+
names:
|
342 |
+
0: negative
|
343 |
+
1: positive
|
344 |
+
splits:
|
345 |
+
- name: train
|
346 |
+
num_bytes: 64512
|
347 |
+
num_examples: 3204
|
348 |
+
download_size: 0
|
349 |
+
dataset_size: 64512
|
350 |
+
- config_name: cs
|
351 |
+
features:
|
352 |
+
- name: word
|
353 |
+
dtype: string
|
354 |
+
- name: sentiment
|
355 |
+
dtype:
|
356 |
+
class_label:
|
357 |
+
names:
|
358 |
+
0: negative
|
359 |
+
1: positive
|
360 |
+
splits:
|
361 |
+
- name: train
|
362 |
+
num_bytes: 53194
|
363 |
+
num_examples: 2599
|
364 |
+
download_size: 0
|
365 |
+
dataset_size: 53194
|
366 |
+
- config_name: cy
|
367 |
+
features:
|
368 |
+
- name: word
|
369 |
+
dtype: string
|
370 |
+
- name: sentiment
|
371 |
+
dtype:
|
372 |
+
class_label:
|
373 |
+
names:
|
374 |
+
0: negative
|
375 |
+
1: positive
|
376 |
+
splits:
|
377 |
+
- name: train
|
378 |
+
num_bytes: 31546
|
379 |
+
num_examples: 1647
|
380 |
+
download_size: 0
|
381 |
+
dataset_size: 31546
|
382 |
+
- config_name: da
|
383 |
+
features:
|
384 |
+
- name: word
|
385 |
+
dtype: string
|
386 |
+
- name: sentiment
|
387 |
+
dtype:
|
388 |
+
class_label:
|
389 |
+
names:
|
390 |
+
0: negative
|
391 |
+
1: positive
|
392 |
+
splits:
|
393 |
+
- name: train
|
394 |
+
num_bytes: 66756
|
395 |
+
num_examples: 3340
|
396 |
+
download_size: 0
|
397 |
+
dataset_size: 66756
|
398 |
+
- config_name: de
|
399 |
+
features:
|
400 |
+
- name: word
|
401 |
+
dtype: string
|
402 |
+
- name: sentiment
|
403 |
+
dtype:
|
404 |
+
class_label:
|
405 |
+
names:
|
406 |
+
0: negative
|
407 |
+
1: positive
|
408 |
+
splits:
|
409 |
+
- name: train
|
410 |
+
num_bytes: 82223
|
411 |
+
num_examples: 3974
|
412 |
+
download_size: 0
|
413 |
+
dataset_size: 82223
|
414 |
+
- config_name: el
|
415 |
+
features:
|
416 |
+
- name: word
|
417 |
+
dtype: string
|
418 |
+
- name: sentiment
|
419 |
+
dtype:
|
420 |
+
class_label:
|
421 |
+
names:
|
422 |
+
0: negative
|
423 |
+
1: positive
|
424 |
+
splits:
|
425 |
+
- name: train
|
426 |
+
num_bytes: 76281
|
427 |
+
num_examples: 2703
|
428 |
+
download_size: 0
|
429 |
+
dataset_size: 76281
|
430 |
+
- config_name: eo
|
431 |
+
features:
|
432 |
+
- name: word
|
433 |
+
dtype: string
|
434 |
+
- name: sentiment
|
435 |
+
dtype:
|
436 |
+
class_label:
|
437 |
+
names:
|
438 |
+
0: negative
|
439 |
+
1: positive
|
440 |
+
splits:
|
441 |
+
- name: train
|
442 |
+
num_bytes: 50271
|
443 |
+
num_examples: 2604
|
444 |
+
download_size: 0
|
445 |
+
dataset_size: 50271
|
446 |
+
- config_name: es
|
447 |
+
features:
|
448 |
+
- name: word
|
449 |
+
dtype: string
|
450 |
+
- name: sentiment
|
451 |
+
dtype:
|
452 |
+
class_label:
|
453 |
+
names:
|
454 |
+
0: negative
|
455 |
+
1: positive
|
456 |
+
splits:
|
457 |
+
- name: train
|
458 |
+
num_bytes: 87157
|
459 |
+
num_examples: 4275
|
460 |
+
download_size: 0
|
461 |
+
dataset_size: 87157
|
462 |
+
- config_name: et
|
463 |
+
features:
|
464 |
+
- name: word
|
465 |
+
dtype: string
|
466 |
+
- name: sentiment
|
467 |
+
dtype:
|
468 |
+
class_label:
|
469 |
+
names:
|
470 |
+
0: negative
|
471 |
+
1: positive
|
472 |
+
splits:
|
473 |
+
- name: train
|
474 |
+
num_bytes: 41964
|
475 |
+
num_examples: 2105
|
476 |
+
download_size: 0
|
477 |
+
dataset_size: 41964
|
478 |
+
- config_name: eu
|
479 |
+
features:
|
480 |
+
- name: word
|
481 |
+
dtype: string
|
482 |
+
- name: sentiment
|
483 |
+
dtype:
|
484 |
+
class_label:
|
485 |
+
names:
|
486 |
+
0: negative
|
487 |
+
1: positive
|
488 |
+
splits:
|
489 |
+
- name: train
|
490 |
+
num_bytes: 39641
|
491 |
+
num_examples: 1979
|
492 |
+
download_size: 0
|
493 |
+
dataset_size: 39641
|
494 |
+
- config_name: fa
|
495 |
+
features:
|
496 |
+
- name: word
|
497 |
+
dtype: string
|
498 |
+
- name: sentiment
|
499 |
+
dtype:
|
500 |
+
class_label:
|
501 |
+
names:
|
502 |
+
0: negative
|
503 |
+
1: positive
|
504 |
+
splits:
|
505 |
+
- name: train
|
506 |
+
num_bytes: 53399
|
507 |
+
num_examples: 2477
|
508 |
+
download_size: 0
|
509 |
+
dataset_size: 53399
|
510 |
+
- config_name: fi
|
511 |
+
features:
|
512 |
+
- name: word
|
513 |
+
dtype: string
|
514 |
+
- name: sentiment
|
515 |
+
dtype:
|
516 |
+
class_label:
|
517 |
+
names:
|
518 |
+
0: negative
|
519 |
+
1: positive
|
520 |
+
splits:
|
521 |
+
- name: train
|
522 |
+
num_bytes: 68294
|
523 |
+
num_examples: 3295
|
524 |
+
download_size: 0
|
525 |
+
dataset_size: 68294
|
526 |
+
- config_name: fo
|
527 |
+
features:
|
528 |
+
- name: word
|
529 |
+
dtype: string
|
530 |
+
- name: sentiment
|
531 |
+
dtype:
|
532 |
+
class_label:
|
533 |
+
names:
|
534 |
+
0: negative
|
535 |
+
1: positive
|
536 |
+
splits:
|
537 |
+
- name: train
|
538 |
+
num_bytes: 2213
|
539 |
+
num_examples: 123
|
540 |
+
download_size: 0
|
541 |
+
dataset_size: 2213
|
542 |
+
- config_name: fr
|
543 |
+
features:
|
544 |
+
- name: word
|
545 |
+
dtype: string
|
546 |
+
- name: sentiment
|
547 |
+
dtype:
|
548 |
+
class_label:
|
549 |
+
names:
|
550 |
+
0: negative
|
551 |
+
1: positive
|
552 |
+
splits:
|
553 |
+
- name: train
|
554 |
+
num_bytes: 94832
|
555 |
+
num_examples: 4653
|
556 |
+
download_size: 0
|
557 |
+
dataset_size: 94832
|
558 |
+
- config_name: fy
|
559 |
+
features:
|
560 |
+
- name: word
|
561 |
+
dtype: string
|
562 |
+
- name: sentiment
|
563 |
+
dtype:
|
564 |
+
class_label:
|
565 |
+
names:
|
566 |
+
0: negative
|
567 |
+
1: positive
|
568 |
+
splits:
|
569 |
+
- name: train
|
570 |
+
num_bytes: 3916
|
571 |
+
num_examples: 224
|
572 |
+
download_size: 0
|
573 |
+
dataset_size: 3916
|
574 |
+
- config_name: ga
|
575 |
+
features:
|
576 |
+
- name: word
|
577 |
+
dtype: string
|
578 |
+
- name: sentiment
|
579 |
+
dtype:
|
580 |
+
class_label:
|
581 |
+
names:
|
582 |
+
0: negative
|
583 |
+
1: positive
|
584 |
+
splits:
|
585 |
+
- name: train
|
586 |
+
num_bytes: 21209
|
587 |
+
num_examples: 1073
|
588 |
+
download_size: 0
|
589 |
+
dataset_size: 21209
|
590 |
+
- config_name: gd
|
591 |
+
features:
|
592 |
+
- name: word
|
593 |
+
dtype: string
|
594 |
+
- name: sentiment
|
595 |
+
dtype:
|
596 |
+
class_label:
|
597 |
+
names:
|
598 |
+
0: negative
|
599 |
+
1: positive
|
600 |
+
splits:
|
601 |
+
- name: train
|
602 |
+
num_bytes: 6441
|
603 |
+
num_examples: 345
|
604 |
+
download_size: 0
|
605 |
+
dataset_size: 6441
|
606 |
+
- config_name: gl
|
607 |
+
features:
|
608 |
+
- name: word
|
609 |
+
dtype: string
|
610 |
+
- name: sentiment
|
611 |
+
dtype:
|
612 |
+
class_label:
|
613 |
+
names:
|
614 |
+
0: negative
|
615 |
+
1: positive
|
616 |
+
splits:
|
617 |
+
- name: train
|
618 |
+
num_bytes: 55279
|
619 |
+
num_examples: 2714
|
620 |
+
download_size: 0
|
621 |
+
dataset_size: 55279
|
622 |
+
- config_name: gu
|
623 |
+
features:
|
624 |
+
- name: word
|
625 |
+
dtype: string
|
626 |
+
- name: sentiment
|
627 |
+
dtype:
|
628 |
+
class_label:
|
629 |
+
names:
|
630 |
+
0: negative
|
631 |
+
1: positive
|
632 |
+
splits:
|
633 |
+
- name: train
|
634 |
+
num_bytes: 60025
|
635 |
+
num_examples: 2145
|
636 |
+
download_size: 0
|
637 |
+
dataset_size: 60025
|
638 |
+
- config_name: he
|
639 |
+
features:
|
640 |
+
- name: word
|
641 |
+
dtype: string
|
642 |
+
- name: sentiment
|
643 |
+
dtype:
|
644 |
+
class_label:
|
645 |
+
names:
|
646 |
+
0: negative
|
647 |
+
1: positive
|
648 |
+
splits:
|
649 |
+
- name: train
|
650 |
+
num_bytes: 54706
|
651 |
+
num_examples: 2533
|
652 |
+
download_size: 0
|
653 |
+
dataset_size: 54706
|
654 |
+
- config_name: hi
|
655 |
+
features:
|
656 |
+
- name: word
|
657 |
+
dtype: string
|
658 |
+
- name: sentiment
|
659 |
+
dtype:
|
660 |
+
class_label:
|
661 |
+
names:
|
662 |
+
0: negative
|
663 |
+
1: positive
|
664 |
+
splits:
|
665 |
+
- name: train
|
666 |
+
num_bytes: 103800
|
667 |
+
num_examples: 3640
|
668 |
+
download_size: 0
|
669 |
+
dataset_size: 103800
|
670 |
+
- config_name: hr
|
671 |
+
features:
|
672 |
+
- name: word
|
673 |
+
dtype: string
|
674 |
+
- name: sentiment
|
675 |
+
dtype:
|
676 |
+
class_label:
|
677 |
+
names:
|
678 |
+
0: negative
|
679 |
+
1: positive
|
680 |
+
splits:
|
681 |
+
- name: train
|
682 |
+
num_bytes: 43775
|
683 |
+
num_examples: 2208
|
684 |
+
download_size: 0
|
685 |
+
dataset_size: 43775
|
686 |
+
- config_name: ht
|
687 |
+
features:
|
688 |
+
- name: word
|
689 |
+
dtype: string
|
690 |
+
- name: sentiment
|
691 |
+
dtype:
|
692 |
+
class_label:
|
693 |
+
names:
|
694 |
+
0: negative
|
695 |
+
1: positive
|
696 |
+
splits:
|
697 |
+
- name: train
|
698 |
+
num_bytes: 8261
|
699 |
+
num_examples: 472
|
700 |
+
download_size: 0
|
701 |
+
dataset_size: 8261
|
702 |
+
- config_name: hu
|
703 |
+
features:
|
704 |
+
- name: word
|
705 |
+
dtype: string
|
706 |
+
- name: sentiment
|
707 |
+
dtype:
|
708 |
+
class_label:
|
709 |
+
names:
|
710 |
+
0: negative
|
711 |
+
1: positive
|
712 |
+
splits:
|
713 |
+
- name: train
|
714 |
+
num_bytes: 74203
|
715 |
+
num_examples: 3522
|
716 |
+
download_size: 0
|
717 |
+
dataset_size: 74203
|
718 |
+
- config_name: hy
|
719 |
+
features:
|
720 |
+
- name: word
|
721 |
+
dtype: string
|
722 |
+
- name: sentiment
|
723 |
+
dtype:
|
724 |
+
class_label:
|
725 |
+
names:
|
726 |
+
0: negative
|
727 |
+
1: positive
|
728 |
+
splits:
|
729 |
+
- name: train
|
730 |
+
num_bytes: 44593
|
731 |
+
num_examples: 1657
|
732 |
+
download_size: 0
|
733 |
+
dataset_size: 44593
|
734 |
+
- config_name: ia
|
735 |
+
features:
|
736 |
+
- name: word
|
737 |
+
dtype: string
|
738 |
+
- name: sentiment
|
739 |
+
dtype:
|
740 |
+
class_label:
|
741 |
+
names:
|
742 |
+
0: negative
|
743 |
+
1: positive
|
744 |
+
splits:
|
745 |
+
- name: train
|
746 |
+
num_bytes: 6401
|
747 |
+
num_examples: 326
|
748 |
+
download_size: 0
|
749 |
+
dataset_size: 6401
|
750 |
+
- config_name: id
|
751 |
+
features:
|
752 |
+
- name: word
|
753 |
+
dtype: string
|
754 |
+
- name: sentiment
|
755 |
+
dtype:
|
756 |
+
class_label:
|
757 |
+
names:
|
758 |
+
0: negative
|
759 |
+
1: positive
|
760 |
+
splits:
|
761 |
+
- name: train
|
762 |
+
num_bytes: 56879
|
763 |
+
num_examples: 2900
|
764 |
+
download_size: 0
|
765 |
+
dataset_size: 56879
|
766 |
+
- config_name: io
|
767 |
+
features:
|
768 |
+
- name: word
|
769 |
+
dtype: string
|
770 |
+
- name: sentiment
|
771 |
+
dtype:
|
772 |
+
class_label:
|
773 |
+
names:
|
774 |
+
0: negative
|
775 |
+
1: positive
|
776 |
+
splits:
|
777 |
+
- name: train
|
778 |
+
num_bytes: 3348
|
779 |
+
num_examples: 183
|
780 |
+
download_size: 0
|
781 |
+
dataset_size: 3348
|
782 |
+
- config_name: is
|
783 |
+
features:
|
784 |
+
- name: word
|
785 |
+
dtype: string
|
786 |
+
- name: sentiment
|
787 |
+
dtype:
|
788 |
+
class_label:
|
789 |
+
names:
|
790 |
+
0: negative
|
791 |
+
1: positive
|
792 |
+
splits:
|
793 |
+
- name: train
|
794 |
+
num_bytes: 34565
|
795 |
+
num_examples: 1770
|
796 |
+
download_size: 0
|
797 |
+
dataset_size: 34565
|
798 |
+
- config_name: it
|
799 |
+
features:
|
800 |
+
- name: word
|
801 |
+
dtype: string
|
802 |
+
- name: sentiment
|
803 |
+
dtype:
|
804 |
+
class_label:
|
805 |
+
names:
|
806 |
+
0: negative
|
807 |
+
1: positive
|
808 |
+
splits:
|
809 |
+
- name: train
|
810 |
+
num_bytes: 92165
|
811 |
+
num_examples: 4491
|
812 |
+
download_size: 0
|
813 |
+
dataset_size: 92165
|
814 |
+
- config_name: ja
|
815 |
+
features:
|
816 |
+
- name: word
|
817 |
+
dtype: string
|
818 |
+
- name: sentiment
|
819 |
+
dtype:
|
820 |
+
class_label:
|
821 |
+
names:
|
822 |
+
0: negative
|
823 |
+
1: positive
|
824 |
+
splits:
|
825 |
+
- name: train
|
826 |
+
num_bytes: 21770
|
827 |
+
num_examples: 1017
|
828 |
+
download_size: 0
|
829 |
+
dataset_size: 21770
|
830 |
+
- config_name: ka
|
831 |
+
features:
|
832 |
+
- name: word
|
833 |
+
dtype: string
|
834 |
+
- name: sentiment
|
835 |
+
dtype:
|
836 |
+
class_label:
|
837 |
+
names:
|
838 |
+
0: negative
|
839 |
+
1: positive
|
840 |
+
splits:
|
841 |
+
- name: train
|
842 |
+
num_bytes: 81286
|
843 |
+
num_examples: 2202
|
844 |
+
download_size: 0
|
845 |
+
dataset_size: 81286
|
846 |
+
- config_name: km
|
847 |
+
features:
|
848 |
+
- name: word
|
849 |
+
dtype: string
|
850 |
+
- name: sentiment
|
851 |
+
dtype:
|
852 |
+
class_label:
|
853 |
+
names:
|
854 |
+
0: negative
|
855 |
+
1: positive
|
856 |
+
splits:
|
857 |
+
- name: train
|
858 |
+
num_bytes: 23133
|
859 |
+
num_examples: 956
|
860 |
+
download_size: 0
|
861 |
+
dataset_size: 23133
|
862 |
+
- config_name: kn
|
863 |
+
features:
|
864 |
+
- name: word
|
865 |
+
dtype: string
|
866 |
+
- name: sentiment
|
867 |
+
dtype:
|
868 |
+
class_label:
|
869 |
+
names:
|
870 |
+
0: negative
|
871 |
+
1: positive
|
872 |
+
splits:
|
873 |
+
- name: train
|
874 |
+
num_bytes: 70449
|
875 |
+
num_examples: 2173
|
876 |
+
download_size: 0
|
877 |
+
dataset_size: 70449
|
878 |
+
- config_name: ko
|
879 |
+
features:
|
880 |
+
- name: word
|
881 |
+
dtype: string
|
882 |
+
- name: sentiment
|
883 |
+
dtype:
|
884 |
+
class_label:
|
885 |
+
names:
|
886 |
+
0: negative
|
887 |
+
1: positive
|
888 |
+
splits:
|
889 |
+
- name: train
|
890 |
+
num_bytes: 41716
|
891 |
+
num_examples: 2118
|
892 |
+
download_size: 0
|
893 |
+
dataset_size: 41716
|
894 |
+
- config_name: ku
|
895 |
+
features:
|
896 |
+
- name: word
|
897 |
+
dtype: string
|
898 |
+
- name: sentiment
|
899 |
+
dtype:
|
900 |
+
class_label:
|
901 |
+
names:
|
902 |
+
0: negative
|
903 |
+
1: positive
|
904 |
+
splits:
|
905 |
+
- name: train
|
906 |
+
num_bytes: 2510
|
907 |
+
num_examples: 145
|
908 |
+
download_size: 0
|
909 |
+
dataset_size: 2510
|
910 |
+
- config_name: ky
|
911 |
+
features:
|
912 |
+
- name: word
|
913 |
+
dtype: string
|
914 |
+
- name: sentiment
|
915 |
+
dtype:
|
916 |
+
class_label:
|
917 |
+
names:
|
918 |
+
0: negative
|
919 |
+
1: positive
|
920 |
+
splits:
|
921 |
+
- name: train
|
922 |
+
num_bytes: 5746
|
923 |
+
num_examples: 246
|
924 |
+
download_size: 0
|
925 |
+
dataset_size: 5746
|
926 |
+
- config_name: la
|
927 |
+
features:
|
928 |
+
- name: word
|
929 |
+
dtype: string
|
930 |
+
- name: sentiment
|
931 |
+
dtype:
|
932 |
+
class_label:
|
933 |
+
names:
|
934 |
+
0: negative
|
935 |
+
1: positive
|
936 |
+
splits:
|
937 |
+
- name: train
|
938 |
+
num_bytes: 39092
|
939 |
+
num_examples: 2033
|
940 |
+
download_size: 0
|
941 |
+
dataset_size: 39092
|
942 |
+
- config_name: lb
|
943 |
+
features:
|
944 |
+
- name: word
|
945 |
+
dtype: string
|
946 |
+
- name: sentiment
|
947 |
+
dtype:
|
948 |
+
class_label:
|
949 |
+
names:
|
950 |
+
0: negative
|
951 |
+
1: positive
|
952 |
+
splits:
|
953 |
+
- name: train
|
954 |
+
num_bytes: 4150
|
955 |
+
num_examples: 224
|
956 |
+
download_size: 0
|
957 |
+
dataset_size: 4150
|
958 |
+
- config_name: lt
|
959 |
+
features:
|
960 |
+
- name: word
|
961 |
+
dtype: string
|
962 |
+
- name: sentiment
|
963 |
+
dtype:
|
964 |
+
class_label:
|
965 |
+
names:
|
966 |
+
0: negative
|
967 |
+
1: positive
|
968 |
+
splits:
|
969 |
+
- name: train
|
970 |
+
num_bytes: 45274
|
971 |
+
num_examples: 2190
|
972 |
+
download_size: 0
|
973 |
+
dataset_size: 45274
|
974 |
+
- config_name: lv
|
975 |
+
features:
|
976 |
+
- name: word
|
977 |
+
dtype: string
|
978 |
+
- name: sentiment
|
979 |
+
dtype:
|
980 |
+
class_label:
|
981 |
+
names:
|
982 |
+
0: negative
|
983 |
+
1: positive
|
984 |
+
splits:
|
985 |
+
- name: train
|
986 |
+
num_bytes: 39879
|
987 |
+
num_examples: 1938
|
988 |
+
download_size: 0
|
989 |
+
dataset_size: 39879
|
990 |
+
- config_name: mk
|
991 |
+
features:
|
992 |
+
- name: word
|
993 |
+
dtype: string
|
994 |
+
- name: sentiment
|
995 |
+
dtype:
|
996 |
+
class_label:
|
997 |
+
names:
|
998 |
+
0: negative
|
999 |
+
1: positive
|
1000 |
+
splits:
|
1001 |
+
- name: train
|
1002 |
+
num_bytes: 81619
|
1003 |
+
num_examples: 2965
|
1004 |
+
download_size: 0
|
1005 |
+
dataset_size: 81619
|
1006 |
+
- config_name: mr
|
1007 |
+
features:
|
1008 |
+
- name: word
|
1009 |
+
dtype: string
|
1010 |
+
- name: sentiment
|
1011 |
+
dtype:
|
1012 |
+
class_label:
|
1013 |
+
names:
|
1014 |
+
0: negative
|
1015 |
+
1: positive
|
1016 |
+
splits:
|
1017 |
+
- name: train
|
1018 |
+
num_bytes: 48601
|
1019 |
+
num_examples: 1825
|
1020 |
+
download_size: 0
|
1021 |
+
dataset_size: 48601
|
1022 |
+
- config_name: ms
|
1023 |
+
features:
|
1024 |
+
- name: word
|
1025 |
+
dtype: string
|
1026 |
+
- name: sentiment
|
1027 |
+
dtype:
|
1028 |
+
class_label:
|
1029 |
+
names:
|
1030 |
+
0: negative
|
1031 |
+
1: positive
|
1032 |
+
splits:
|
1033 |
+
- name: train
|
1034 |
+
num_bytes: 57265
|
1035 |
+
num_examples: 2934
|
1036 |
+
download_size: 0
|
1037 |
+
dataset_size: 57265
|
1038 |
+
- config_name: mt
|
1039 |
+
features:
|
1040 |
+
- name: word
|
1041 |
+
dtype: string
|
1042 |
+
- name: sentiment
|
1043 |
+
dtype:
|
1044 |
+
class_label:
|
1045 |
+
names:
|
1046 |
+
0: negative
|
1047 |
+
1: positive
|
1048 |
+
splits:
|
1049 |
+
- name: train
|
1050 |
+
num_bytes: 16913
|
1051 |
+
num_examples: 863
|
1052 |
+
download_size: 0
|
1053 |
+
dataset_size: 16913
|
1054 |
+
- config_name: nl
|
1055 |
+
features:
|
1056 |
+
- name: word
|
1057 |
+
dtype: string
|
1058 |
+
- name: sentiment
|
1059 |
+
dtype:
|
1060 |
+
class_label:
|
1061 |
+
names:
|
1062 |
+
0: negative
|
1063 |
+
1: positive
|
1064 |
+
splits:
|
1065 |
+
- name: train
|
1066 |
+
num_bytes: 80335
|
1067 |
+
num_examples: 3976
|
1068 |
+
download_size: 0
|
1069 |
+
dataset_size: 80335
|
1070 |
+
- config_name: nn
|
1071 |
+
features:
|
1072 |
+
- name: word
|
1073 |
+
dtype: string
|
1074 |
+
- name: sentiment
|
1075 |
+
dtype:
|
1076 |
+
class_label:
|
1077 |
+
names:
|
1078 |
+
0: negative
|
1079 |
+
1: positive
|
1080 |
+
splits:
|
1081 |
+
- name: train
|
1082 |
+
num_bytes: 35835
|
1083 |
+
num_examples: 1894
|
1084 |
+
download_size: 0
|
1085 |
+
dataset_size: 35835
|
1086 |
+
- config_name: 'no'
|
1087 |
+
features:
|
1088 |
+
- name: word
|
1089 |
+
dtype: string
|
1090 |
+
- name: sentiment
|
1091 |
+
dtype:
|
1092 |
+
class_label:
|
1093 |
+
names:
|
1094 |
+
0: negative
|
1095 |
+
1: positive
|
1096 |
+
splits:
|
1097 |
+
- name: train
|
1098 |
+
num_bytes: 61160
|
1099 |
+
num_examples: 3089
|
1100 |
+
download_size: 0
|
1101 |
+
dataset_size: 61160
|
1102 |
+
- config_name: pl
|
1103 |
+
features:
|
1104 |
+
- name: word
|
1105 |
+
dtype: string
|
1106 |
+
- name: sentiment
|
1107 |
+
dtype:
|
1108 |
+
class_label:
|
1109 |
+
names:
|
1110 |
+
0: negative
|
1111 |
+
1: positive
|
1112 |
+
splits:
|
1113 |
+
- name: train
|
1114 |
+
num_bytes: 73213
|
1115 |
+
num_examples: 3533
|
1116 |
+
download_size: 0
|
1117 |
+
dataset_size: 73213
|
1118 |
+
- config_name: pt
|
1119 |
+
features:
|
1120 |
+
- name: word
|
1121 |
+
dtype: string
|
1122 |
+
- name: sentiment
|
1123 |
+
dtype:
|
1124 |
+
class_label:
|
1125 |
+
names:
|
1126 |
+
0: negative
|
1127 |
+
1: positive
|
1128 |
+
splits:
|
1129 |
+
- name: train
|
1130 |
+
num_bytes: 80618
|
1131 |
+
num_examples: 3953
|
1132 |
+
download_size: 0
|
1133 |
+
dataset_size: 80618
|
1134 |
+
- config_name: rm
|
1135 |
+
features:
|
1136 |
+
- name: word
|
1137 |
+
dtype: string
|
1138 |
+
- name: sentiment
|
1139 |
+
dtype:
|
1140 |
+
class_label:
|
1141 |
+
names:
|
1142 |
+
0: negative
|
1143 |
+
1: positive
|
1144 |
+
splits:
|
1145 |
+
- name: train
|
1146 |
+
num_bytes: 2060
|
1147 |
+
num_examples: 116
|
1148 |
+
download_size: 0
|
1149 |
+
dataset_size: 2060
|
1150 |
+
- config_name: ro
|
1151 |
+
features:
|
1152 |
+
- name: word
|
1153 |
+
dtype: string
|
1154 |
+
- name: sentiment
|
1155 |
+
dtype:
|
1156 |
+
class_label:
|
1157 |
+
names:
|
1158 |
+
0: negative
|
1159 |
+
1: positive
|
1160 |
+
splits:
|
1161 |
+
- name: train
|
1162 |
+
num_bytes: 66071
|
1163 |
+
num_examples: 3329
|
1164 |
+
download_size: 0
|
1165 |
+
dataset_size: 66071
|
1166 |
+
- config_name: ru
|
1167 |
+
features:
|
1168 |
+
- name: word
|
1169 |
+
dtype: string
|
1170 |
+
- name: sentiment
|
1171 |
+
dtype:
|
1172 |
+
class_label:
|
1173 |
+
names:
|
1174 |
+
0: negative
|
1175 |
+
1: positive
|
1176 |
+
splits:
|
1177 |
+
- name: train
|
1178 |
+
num_bytes: 82966
|
1179 |
+
num_examples: 2914
|
1180 |
+
download_size: 0
|
1181 |
+
dataset_size: 82966
|
1182 |
+
- config_name: sk
|
1183 |
+
features:
|
1184 |
+
- name: word
|
1185 |
+
dtype: string
|
1186 |
+
- name: sentiment
|
1187 |
+
dtype:
|
1188 |
+
class_label:
|
1189 |
+
names:
|
1190 |
+
0: negative
|
1191 |
+
1: positive
|
1192 |
+
splits:
|
1193 |
+
- name: train
|
1194 |
+
num_bytes: 49751
|
1195 |
+
num_examples: 2428
|
1196 |
+
download_size: 0
|
1197 |
+
dataset_size: 49751
|
1198 |
+
- config_name: sl
|
1199 |
+
features:
|
1200 |
+
- name: word
|
1201 |
+
dtype: string
|
1202 |
+
- name: sentiment
|
1203 |
+
dtype:
|
1204 |
+
class_label:
|
1205 |
+
names:
|
1206 |
+
0: negative
|
1207 |
+
1: positive
|
1208 |
+
splits:
|
1209 |
+
- name: train
|
1210 |
+
num_bytes: 44430
|
1211 |
+
num_examples: 2244
|
1212 |
+
download_size: 0
|
1213 |
+
dataset_size: 44430
|
1214 |
+
- config_name: sq
|
1215 |
+
features:
|
1216 |
+
- name: word
|
1217 |
+
dtype: string
|
1218 |
+
- name: sentiment
|
1219 |
+
dtype:
|
1220 |
+
class_label:
|
1221 |
+
names:
|
1222 |
+
0: negative
|
1223 |
+
1: positive
|
1224 |
+
splits:
|
1225 |
+
- name: train
|
1226 |
+
num_bytes: 40484
|
1227 |
+
num_examples: 2076
|
1228 |
+
download_size: 0
|
1229 |
+
dataset_size: 40484
|
1230 |
+
- config_name: sr
|
1231 |
+
features:
|
1232 |
+
- name: word
|
1233 |
+
dtype: string
|
1234 |
+
- name: sentiment
|
1235 |
+
dtype:
|
1236 |
+
class_label:
|
1237 |
+
names:
|
1238 |
+
0: negative
|
1239 |
+
1: positive
|
1240 |
+
splits:
|
1241 |
+
- name: train
|
1242 |
+
num_bytes: 53257
|
1243 |
+
num_examples: 2034
|
1244 |
+
download_size: 0
|
1245 |
+
dataset_size: 53257
|
1246 |
+
- config_name: sv
|
1247 |
+
features:
|
1248 |
+
- name: word
|
1249 |
+
dtype: string
|
1250 |
+
- name: sentiment
|
1251 |
+
dtype:
|
1252 |
+
class_label:
|
1253 |
+
names:
|
1254 |
+
0: negative
|
1255 |
+
1: positive
|
1256 |
+
splits:
|
1257 |
+
- name: train
|
1258 |
+
num_bytes: 73939
|
1259 |
+
num_examples: 3722
|
1260 |
+
download_size: 0
|
1261 |
+
dataset_size: 73939
|
1262 |
+
- config_name: sw
|
1263 |
+
features:
|
1264 |
+
- name: word
|
1265 |
+
dtype: string
|
1266 |
+
- name: sentiment
|
1267 |
+
dtype:
|
1268 |
+
class_label:
|
1269 |
+
names:
|
1270 |
+
0: negative
|
1271 |
+
1: positive
|
1272 |
+
splits:
|
1273 |
+
- name: train
|
1274 |
+
num_bytes: 24962
|
1275 |
+
num_examples: 1314
|
1276 |
+
download_size: 0
|
1277 |
+
dataset_size: 24962
|
1278 |
+
- config_name: ta
|
1279 |
+
features:
|
1280 |
+
- name: word
|
1281 |
+
dtype: string
|
1282 |
+
- name: sentiment
|
1283 |
+
dtype:
|
1284 |
+
class_label:
|
1285 |
+
names:
|
1286 |
+
0: negative
|
1287 |
+
1: positive
|
1288 |
+
splits:
|
1289 |
+
- name: train
|
1290 |
+
num_bytes: 71071
|
1291 |
+
num_examples: 2057
|
1292 |
+
download_size: 0
|
1293 |
+
dataset_size: 71071
|
1294 |
+
- config_name: te
|
1295 |
+
features:
|
1296 |
+
- name: word
|
1297 |
+
dtype: string
|
1298 |
+
- name: sentiment
|
1299 |
+
dtype:
|
1300 |
+
class_label:
|
1301 |
+
names:
|
1302 |
+
0: negative
|
1303 |
+
1: positive
|
1304 |
+
splits:
|
1305 |
+
- name: train
|
1306 |
+
num_bytes: 77306
|
1307 |
+
num_examples: 2523
|
1308 |
+
download_size: 0
|
1309 |
+
dataset_size: 77306
|
1310 |
+
- config_name: th
|
1311 |
+
features:
|
1312 |
+
- name: word
|
1313 |
+
dtype: string
|
1314 |
+
- name: sentiment
|
1315 |
+
dtype:
|
1316 |
+
class_label:
|
1317 |
+
names:
|
1318 |
+
0: negative
|
1319 |
+
1: positive
|
1320 |
+
splits:
|
1321 |
+
- name: train
|
1322 |
+
num_bytes: 34209
|
1323 |
+
num_examples: 1279
|
1324 |
+
download_size: 0
|
1325 |
+
dataset_size: 34209
|
1326 |
+
- config_name: tk
|
1327 |
+
features:
|
1328 |
+
- name: word
|
1329 |
+
dtype: string
|
1330 |
+
- name: sentiment
|
1331 |
+
dtype:
|
1332 |
+
class_label:
|
1333 |
+
names:
|
1334 |
+
0: negative
|
1335 |
+
1: positive
|
1336 |
+
splits:
|
1337 |
+
- name: train
|
1338 |
+
num_bytes: 1425
|
1339 |
+
num_examples: 78
|
1340 |
+
download_size: 0
|
1341 |
+
dataset_size: 1425
|
1342 |
+
- config_name: tl
|
1343 |
+
features:
|
1344 |
+
- name: word
|
1345 |
+
dtype: string
|
1346 |
+
- name: sentiment
|
1347 |
+
dtype:
|
1348 |
+
class_label:
|
1349 |
+
names:
|
1350 |
+
0: negative
|
1351 |
+
1: positive
|
1352 |
+
splits:
|
1353 |
+
- name: train
|
1354 |
+
num_bytes: 36190
|
1355 |
+
num_examples: 1858
|
1356 |
+
download_size: 0
|
1357 |
+
dataset_size: 36190
|
1358 |
+
- config_name: tr
|
1359 |
+
features:
|
1360 |
+
- name: word
|
1361 |
+
dtype: string
|
1362 |
+
- name: sentiment
|
1363 |
+
dtype:
|
1364 |
+
class_label:
|
1365 |
+
names:
|
1366 |
+
0: negative
|
1367 |
+
1: positive
|
1368 |
+
splits:
|
1369 |
+
- name: train
|
1370 |
+
num_bytes: 49295
|
1371 |
+
num_examples: 2500
|
1372 |
+
download_size: 0
|
1373 |
+
dataset_size: 49295
|
1374 |
+
- config_name: uk
|
1375 |
+
features:
|
1376 |
+
- name: word
|
1377 |
+
dtype: string
|
1378 |
+
- name: sentiment
|
1379 |
+
dtype:
|
1380 |
+
class_label:
|
1381 |
+
names:
|
1382 |
+
0: negative
|
1383 |
+
1: positive
|
1384 |
+
splits:
|
1385 |
+
- name: train
|
1386 |
+
num_bytes: 80226
|
1387 |
+
num_examples: 2827
|
1388 |
+
download_size: 0
|
1389 |
+
dataset_size: 80226
|
1390 |
+
- config_name: ur
|
1391 |
+
features:
|
1392 |
+
- name: word
|
1393 |
+
dtype: string
|
1394 |
+
- name: sentiment
|
1395 |
+
dtype:
|
1396 |
+
class_label:
|
1397 |
+
names:
|
1398 |
+
0: negative
|
1399 |
+
1: positive
|
1400 |
+
splits:
|
1401 |
+
- name: train
|
1402 |
+
num_bytes: 28469
|
1403 |
+
num_examples: 1347
|
1404 |
+
download_size: 0
|
1405 |
+
dataset_size: 28469
|
1406 |
+
- config_name: uz
|
1407 |
+
features:
|
1408 |
+
- name: word
|
1409 |
+
dtype: string
|
1410 |
+
- name: sentiment
|
1411 |
+
dtype:
|
1412 |
+
class_label:
|
1413 |
+
names:
|
1414 |
+
0: negative
|
1415 |
+
1: positive
|
1416 |
+
splits:
|
1417 |
+
- name: train
|
1418 |
+
num_bytes: 1944
|
1419 |
+
num_examples: 111
|
1420 |
+
download_size: 0
|
1421 |
+
dataset_size: 1944
|
1422 |
+
- config_name: vi
|
1423 |
+
features:
|
1424 |
+
- name: word
|
1425 |
+
dtype: string
|
1426 |
+
- name: sentiment
|
1427 |
+
dtype:
|
1428 |
+
class_label:
|
1429 |
+
names:
|
1430 |
+
0: negative
|
1431 |
+
1: positive
|
1432 |
+
splits:
|
1433 |
+
- name: train
|
1434 |
+
num_bytes: 18100
|
1435 |
+
num_examples: 1016
|
1436 |
+
download_size: 0
|
1437 |
+
dataset_size: 18100
|
1438 |
+
- config_name: vo
|
1439 |
+
features:
|
1440 |
+
- name: word
|
1441 |
+
dtype: string
|
1442 |
+
- name: sentiment
|
1443 |
+
dtype:
|
1444 |
+
class_label:
|
1445 |
+
names:
|
1446 |
+
0: negative
|
1447 |
+
1: positive
|
1448 |
+
splits:
|
1449 |
+
- name: train
|
1450 |
+
num_bytes: 775
|
1451 |
+
num_examples: 43
|
1452 |
+
download_size: 0
|
1453 |
+
dataset_size: 775
|
1454 |
+
- config_name: wa
|
1455 |
+
features:
|
1456 |
+
- name: word
|
1457 |
+
dtype: string
|
1458 |
+
- name: sentiment
|
1459 |
+
dtype:
|
1460 |
+
class_label:
|
1461 |
+
names:
|
1462 |
+
0: negative
|
1463 |
+
1: positive
|
1464 |
+
splits:
|
1465 |
+
- name: train
|
1466 |
+
num_bytes: 3450
|
1467 |
+
num_examples: 193
|
1468 |
+
download_size: 0
|
1469 |
+
dataset_size: 3450
|
1470 |
+
- config_name: yi
|
1471 |
+
features:
|
1472 |
+
- name: word
|
1473 |
+
dtype: string
|
1474 |
+
- name: sentiment
|
1475 |
+
dtype:
|
1476 |
+
class_label:
|
1477 |
+
names:
|
1478 |
+
0: negative
|
1479 |
+
1: positive
|
1480 |
+
splits:
|
1481 |
+
- name: train
|
1482 |
+
num_bytes: 9001
|
1483 |
+
num_examples: 395
|
1484 |
+
download_size: 0
|
1485 |
+
dataset_size: 9001
|
1486 |
+
- config_name: zh
|
1487 |
+
features:
|
1488 |
+
- name: word
|
1489 |
+
dtype: string
|
1490 |
+
- name: sentiment
|
1491 |
+
dtype:
|
1492 |
+
class_label:
|
1493 |
+
names:
|
1494 |
+
0: negative
|
1495 |
+
1: positive
|
1496 |
+
splits:
|
1497 |
+
- name: train
|
1498 |
+
num_bytes: 33025
|
1499 |
+
num_examples: 1879
|
1500 |
+
download_size: 0
|
1501 |
+
dataset_size: 33025
|
1502 |
+
- config_name: zhw
|
1503 |
+
features:
|
1504 |
+
- name: word
|
1505 |
+
dtype: string
|
1506 |
+
- name: sentiment
|
1507 |
+
dtype:
|
1508 |
+
class_label:
|
1509 |
+
names:
|
1510 |
+
0: negative
|
1511 |
+
1: positive
|
1512 |
+
splits:
|
1513 |
+
- name: train
|
1514 |
+
num_bytes: 67675
|
1515 |
+
num_examples: 3828
|
1516 |
+
download_size: 0
|
1517 |
+
dataset_size: 67675
|
1518 |
---
|
1519 |
|
1520 |
# Dataset Card for SentiWS
|
|
|
1732 |
}
|
1733 |
### Contributions
|
1734 |
|
1735 |
+
Thanks to [@KMFODA](https://github.com/KMFODA) for adding this dataset.
|