Felix commited on
Commit
496fde2
1 Parent(s): 4ab2261

alphabetize task names

Browse files
Files changed (1) hide show
  1. superlim-2.py +99 -120
superlim-2.py CHANGED
@@ -117,16 +117,16 @@ _TASKS = {
117
  "absabank-imm": "absabank-imm",
118
  "argumentation_sent":"argumentation-sentences",
119
  "dalaj-ged": "dalaj-ged-superlim",
120
- "swesim_relatedness": "supersim-superlim-relatedness",
121
- "swesim_similarity": "supersim-superlim-similarity",
122
  "sweana": "sweanalogy",
 
 
123
  "swefaq": "swefaq",
 
124
  "swepar": "sweparaphrase",
125
  "swesat": "swesat-synonyms",
126
- "swemnli": "swemnli",
127
- "swewic": "swewic",
128
- "swedn": "swedn",
129
- "swediagnostics": "swediagnostics"
130
  }
131
 
132
  class SuperLimConfig(datasets.BuilderConfig):
@@ -166,36 +166,44 @@ class SuperLim(datasets.GeneratorBasedBuilder):
166
 
167
  BUILDER_CONFIGS = [
168
  datasets.BuilderConfig(name="absabank-imm", version=VERSION, description=_DaLAJ_DESCRIPTION),
 
169
  datasets.BuilderConfig(name="dalaj-ged", version=VERSION, description=_DaLAJ_DESCRIPTION),
170
- datasets.BuilderConfig(name="swesim_relatedness", version=VERSION, description=_SweSim_DESCRIPTION),
171
- datasets.BuilderConfig(name="swesim_similarity", version=VERSION, description=_SweSim_DESCRIPTION),
172
  datasets.BuilderConfig(name="sweana", version=VERSION, description=_SweAna_DESCRIPTION),
 
 
173
  datasets.BuilderConfig(name="swefaq", version=VERSION, description=_SweFaq_DESCRIPTION),
 
174
  datasets.BuilderConfig(name="swepar", version=VERSION, description=_SwePar_DESCRIPTION),
175
  datasets.BuilderConfig(name="swesat", version=VERSION, description=_SweSat_DESCRIPTION),
176
- datasets.BuilderConfig(name="swedn", version=VERSION, description=_SweDN_DESCRIPTION),
177
- datasets.BuilderConfig(name="swewic", version=VERSION, description=_SweWic_DESCRIPTION),
178
- datasets.BuilderConfig(name="argumentation_sent", version=VERSION, description=_argumentation_sentences_DESCRIPTION),
179
- datasets.BuilderConfig(name="swemnli", version=VERSION, description=_SweMNLI_DESCRIPTION),
180
- datasets.BuilderConfig(name="swediagnostics", version=VERSION, description=_SweDiag_DESCRIPTION)
181
  ]
182
 
183
  def _info(self):
184
  # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
185
- if self.config.name == "dalaj-ged": # This is the name of the configuration selected in BUILDER_CONFIGS above
186
  features = datasets.Features(
187
  {
188
- "sentence": datasets.Value("string"),
 
 
 
 
 
 
 
 
189
  "label": datasets.Value("string"),
190
- "meta": datasets.Value("string")
191
  }
192
  )
193
- elif self.config.name == 'absabank-imm':
194
  features = datasets.Features(
195
  {
196
- "id": datasets.Value("string"),
197
- "text": datasets.Value("string"),
198
- "label": datasets.Value(dtype='float32')
199
  }
200
  )
201
  elif self.config.name == "sweana":
@@ -208,6 +216,29 @@ class SuperLim(datasets.GeneratorBasedBuilder):
208
  "category": datasets.Value("string"),
209
  }
210
  )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
211
  elif self.config.name == "swefaq":
212
  features = datasets.Features(
213
  {
@@ -218,6 +249,15 @@ class SuperLim(datasets.GeneratorBasedBuilder):
218
  "meta": datasets.Value("string"),
219
  }
220
  )
 
 
 
 
 
 
 
 
 
221
  elif self.config.name == "swepar":
222
  features = datasets.Features(
223
  {
@@ -263,46 +303,6 @@ class SuperLim(datasets.GeneratorBasedBuilder):
263
  "label": datasets.Value("string"),
264
  "meta": datasets.Value("string"),
265
  }
266
- )
267
- elif self.config.name == 'argumentation_sent':
268
- features = datasets.Features(
269
- {
270
- "topic": datasets.Value("string"),
271
- "label": datasets.Value("string"),
272
- "sentence": datasets.Value("string")
273
- }
274
- )
275
- elif self.config.name == 'swemnli':
276
- features = datasets.Features(
277
- {
278
- "id": datasets.Value("string"),
279
- "premise": datasets.Value("string"),
280
- "hypothesis": datasets.Value("string"),
281
- "label": datasets.Value("string")
282
- }
283
- )
284
- elif self.config.name == 'swediagnostics':
285
- features = datasets.Features(
286
- {
287
- 'lexical_semantics': datasets.Value("string"),
288
- 'predicate_argument_structure': datasets.Value("string"),
289
- 'logic': datasets.Value("string"),
290
- 'knowledge': datasets.Value("string"),
291
- 'domain': datasets.Value("string"),
292
- 'premise': datasets.Value("string"),
293
- 'hypothesis': datasets.Value("string"),
294
- 'label':datasets.Value("string")
295
- }
296
- )
297
- elif self.config.name == 'swedn':
298
- features = datasets.Features(
299
- {
300
- "id": datasets.Value("string"),
301
- "headline": datasets.Value("string"),
302
- "summary": datasets.Value("string"),
303
- "article": datasets.Value("string"),
304
- "article_category": datasets.Value("string")
305
- }
306
  )
307
  else:
308
  raise ValueError(f"Subset {self.config.name} does not exist.")
@@ -362,18 +362,24 @@ class SuperLim(datasets.GeneratorBasedBuilder):
362
  # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
363
  df = pd.read_json(filepath, lines=True)
364
  for key, row in df.iterrows():
365
- if self.config.name == "dalaj-ged":
366
- # Yields examples as (key, example) tuples
367
  yield key, {
368
- "sentence": row["sentence"],
 
369
  "label": row["label"],
370
- "meta": row["meta"],
371
  }
372
- elif self.config.name == "absabank-imm":
373
  yield key, {
374
- "id": row['id'],
375
- "text": row["text"],
 
 
 
 
 
 
376
  "label": row["label"],
 
377
  }
378
  elif self.config.name == "sweana":
379
  yield key, {
@@ -383,6 +389,25 @@ class SuperLim(datasets.GeneratorBasedBuilder):
383
  "pair2_element2": row["pair2_element2"],
384
  "category": row["category"],
385
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
386
  elif self.config.name == "swefaq":
387
  yield key, {
388
  "category_id": row['category_id'],
@@ -391,6 +416,13 @@ class SuperLim(datasets.GeneratorBasedBuilder):
391
  "label": row["label"],
392
  "meta": row['meta'],
393
  }
 
 
 
 
 
 
 
394
  elif self.config.name == "swepar":
395
  yield key, {
396
  "genre": row["genre"],
@@ -419,12 +451,6 @@ class SuperLim(datasets.GeneratorBasedBuilder):
419
  "word_2": row["word_2"],
420
  "label": row["label"],
421
  }
422
- elif self.config.name == "swewgr":
423
- yield key, {
424
- "text": row["text"],
425
- "challenge": row["challenge"],
426
- "responses": row["responses"],
427
- }
428
  elif self.config.name == "swewic":
429
  yield key, {
430
  "idx": row["idx"],
@@ -433,52 +459,5 @@ class SuperLim(datasets.GeneratorBasedBuilder):
433
  "label": row["label"],
434
  "meta": row["meta"],
435
  }
436
- elif self.config.name == "swewsc":
437
- yield key, {
438
- "passage": row["passage"],
439
- "challenge_text": row["challenge_text"],
440
- "response_text": row["response_text"],
441
- "challenge_begin":row["challenge_begin"],
442
- "challenge_end":row["challenge_end"],
443
- "response_begin":row["response_begin"],
444
- "response_end":row["response_end"],
445
- "label":row["label"],
446
- }
447
-
448
- elif self.config.name == "argumentation_sent":
449
- yield key, {
450
- "topic": row["topic"],
451
- "label": row["label"],
452
- "sentence" : row["sentence"],
453
- }
454
-
455
- elif self.config.name == "swediagnostics":
456
- yield key, {
457
- 'lexical_semantics': row['lexical_semantics'],
458
- 'predicate_argument_structure': row['predicate_argument_structure'],
459
- 'logic': row['logic'],
460
- 'knowledge': row['knowledge'],
461
- 'domain': row['domain'],
462
- 'premise': row['premise'],
463
- 'hypothesis': row['hypothesis'],
464
- 'label': row['label']
465
- }
466
-
467
- elif self.config.name == "swemnli":
468
- yield key, {
469
- 'id': row['id'],
470
- 'premise': row['premise'],
471
- 'hypothesis': row['hypothesis'],
472
- 'label': row['label']
473
- }
474
-
475
- elif self.config.name == "swedn":
476
- yield key, {
477
- 'id': row['id'],
478
- 'headline': row['headline'],
479
- 'summary': row['summary'],
480
- 'article': row['article'],
481
- 'article_category': row['article_category']
482
- }
483
  else:
484
  raise ValueError(f"Subset {self.config.name} does not exist")
 
117
  "absabank-imm": "absabank-imm",
118
  "argumentation_sent":"argumentation-sentences",
119
  "dalaj-ged": "dalaj-ged-superlim",
 
 
120
  "sweana": "sweanalogy",
121
+ "swediagnostics": "swediagnostics",
122
+ "swedn": "swedn",
123
  "swefaq": "swefaq",
124
+ "swemnli": "swemnli",
125
  "swepar": "sweparaphrase",
126
  "swesat": "swesat-synonyms",
127
+ "swesim_relatedness": "supersim-superlim-relatedness",
128
+ "swesim_similarity": "supersim-superlim-similarity",
129
+ "swewic": "swewic"
 
130
  }
131
 
132
  class SuperLimConfig(datasets.BuilderConfig):
 
166
 
167
  BUILDER_CONFIGS = [
168
  datasets.BuilderConfig(name="absabank-imm", version=VERSION, description=_DaLAJ_DESCRIPTION),
169
+ datasets.BuilderConfig(name="argumentation_sent", version=VERSION, description=_argumentation_sentences_DESCRIPTION),
170
  datasets.BuilderConfig(name="dalaj-ged", version=VERSION, description=_DaLAJ_DESCRIPTION),
 
 
171
  datasets.BuilderConfig(name="sweana", version=VERSION, description=_SweAna_DESCRIPTION),
172
+ datasets.BuilderConfig(name="swediagnostics", version=VERSION, description=_SweDiag_DESCRIPTION),
173
+ datasets.BuilderConfig(name="swedn", version=VERSION, description=_SweDN_DESCRIPTION),
174
  datasets.BuilderConfig(name="swefaq", version=VERSION, description=_SweFaq_DESCRIPTION),
175
+ datasets.BuilderConfig(name="swemnli", version=VERSION, description=_SweMNLI_DESCRIPTION),
176
  datasets.BuilderConfig(name="swepar", version=VERSION, description=_SwePar_DESCRIPTION),
177
  datasets.BuilderConfig(name="swesat", version=VERSION, description=_SweSat_DESCRIPTION),
178
+ datasets.BuilderConfig(name="swesim_relatedness", version=VERSION, description=_SweSim_DESCRIPTION),
179
+ datasets.BuilderConfig(name="swesim_similarity", version=VERSION, description=_SweSim_DESCRIPTION),
180
+ datasets.BuilderConfig(name="swewic", version=VERSION, description=_SweWic_DESCRIPTION)
 
 
181
  ]
182
 
183
  def _info(self):
184
  # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
185
+ if self.config.name == 'absabank-imm': # This is the name of the configuration selected in BUILDER_CONFIGS above
186
  features = datasets.Features(
187
  {
188
+ "id": datasets.Value("string"),
189
+ "text": datasets.Value("string"),
190
+ "label": datasets.Value(dtype='float32')
191
+ }
192
+ )
193
+ elif self.config.name == 'argumentation_sent':
194
+ features = datasets.Features(
195
+ {
196
+ "topic": datasets.Value("string"),
197
  "label": datasets.Value("string"),
198
+ "sentence": datasets.Value("string")
199
  }
200
  )
201
+ elif self.config.name == "dalaj-ged":
202
  features = datasets.Features(
203
  {
204
+ "sentence": datasets.Value("string"),
205
+ "label": datasets.Value("string"),
206
+ "meta": datasets.Value("string")
207
  }
208
  )
209
  elif self.config.name == "sweana":
 
216
  "category": datasets.Value("string"),
217
  }
218
  )
219
+ elif self.config.name == 'swediagnostics':
220
+ features = datasets.Features(
221
+ {
222
+ 'lexical_semantics': datasets.Value("string"),
223
+ 'predicate_argument_structure': datasets.Value("string"),
224
+ 'logic': datasets.Value("string"),
225
+ 'knowledge': datasets.Value("string"),
226
+ 'domain': datasets.Value("string"),
227
+ 'premise': datasets.Value("string"),
228
+ 'hypothesis': datasets.Value("string"),
229
+ 'label':datasets.Value("string")
230
+ }
231
+ )
232
+ elif self.config.name == 'swedn':
233
+ features = datasets.Features(
234
+ {
235
+ "id": datasets.Value("string"),
236
+ "headline": datasets.Value("string"),
237
+ "summary": datasets.Value("string"),
238
+ "article": datasets.Value("string"),
239
+ "article_category": datasets.Value("string")
240
+ }
241
+ )
242
  elif self.config.name == "swefaq":
243
  features = datasets.Features(
244
  {
 
249
  "meta": datasets.Value("string"),
250
  }
251
  )
252
+ elif self.config.name == 'swemnli':
253
+ features = datasets.Features(
254
+ {
255
+ "id": datasets.Value("string"),
256
+ "premise": datasets.Value("string"),
257
+ "hypothesis": datasets.Value("string"),
258
+ "label": datasets.Value("string")
259
+ }
260
+ )
261
  elif self.config.name == "swepar":
262
  features = datasets.Features(
263
  {
 
303
  "label": datasets.Value("string"),
304
  "meta": datasets.Value("string"),
305
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
306
  )
307
  else:
308
  raise ValueError(f"Subset {self.config.name} does not exist.")
 
362
  # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
363
  df = pd.read_json(filepath, lines=True)
364
  for key, row in df.iterrows():
365
+ if self.config.name == "absabank-imm":
 
366
  yield key, {
367
+ "id": row['id'],
368
+ "text": row["text"],
369
  "label": row["label"],
 
370
  }
371
+ elif self.config.name == "argumentation_sent":
372
  yield key, {
373
+ "topic": row["topic"],
374
+ "label": row["label"],
375
+ "sentence" : row["sentence"],
376
+ }
377
+ elif self.config.name == "dalaj-ged":
378
+ # Yields examples as (key, example) tuples
379
+ yield key, {
380
+ "sentence": row["sentence"],
381
  "label": row["label"],
382
+ "meta": row["meta"],
383
  }
384
  elif self.config.name == "sweana":
385
  yield key, {
 
389
  "pair2_element2": row["pair2_element2"],
390
  "category": row["category"],
391
  }
392
+ elif self.config.name == "swediagnostics":
393
+ yield key, {
394
+ 'lexical_semantics': row['lexical_semantics'],
395
+ 'predicate_argument_structure': row['predicate_argument_structure'],
396
+ 'logic': row['logic'],
397
+ 'knowledge': row['knowledge'],
398
+ 'domain': row['domain'],
399
+ 'premise': row['premise'],
400
+ 'hypothesis': row['hypothesis'],
401
+ 'label': row['label']
402
+ }
403
+ elif self.config.name == "swedn":
404
+ yield key, {
405
+ 'id': row['id'],
406
+ 'headline': row['headline'],
407
+ 'summary': row['summary'],
408
+ 'article': row['article'],
409
+ 'article_category': row['article_category']
410
+ }
411
  elif self.config.name == "swefaq":
412
  yield key, {
413
  "category_id": row['category_id'],
 
416
  "label": row["label"],
417
  "meta": row['meta'],
418
  }
419
+ elif self.config.name == "swemnli":
420
+ yield key, {
421
+ 'id': row['id'],
422
+ 'premise': row['premise'],
423
+ 'hypothesis': row['hypothesis'],
424
+ 'label': row['label']
425
+ }
426
  elif self.config.name == "swepar":
427
  yield key, {
428
  "genre": row["genre"],
 
451
  "word_2": row["word_2"],
452
  "label": row["label"],
453
  }
 
 
 
 
 
 
454
  elif self.config.name == "swewic":
455
  yield key, {
456
  "idx": row["idx"],
 
459
  "label": row["label"],
460
  "meta": row["meta"],
461
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
462
  else:
463
  raise ValueError(f"Subset {self.config.name} does not exist")