OfekGlick commited on
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1 Parent(s): e97d234

Upload DiscoEval.py

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  1. DiscoEval.py +98 -99
DiscoEval.py CHANGED
@@ -15,7 +15,6 @@
15
  import os
16
  import io
17
  import datasets
18
- import DiscoEvalConstants
19
  import pickle
20
  import logging
21
 
@@ -221,135 +220,135 @@ class DiscoEvalSentence(datasets.GeneratorBasedBuilder):
221
  VERSION = datasets.Version("1.1.0")
222
  BUILDER_CONFIGS = [
223
  datasets.BuilderConfig(
224
- name=DiscoEvalConstants.SPARXIV,
225
  version=VERSION,
226
  description="Sentence positioning dataset from arXiv",
227
  ),
228
  datasets.BuilderConfig(
229
- name=DiscoEvalConstants.SPROCSTORY,
230
  version=VERSION,
231
  description="Sentence positioning dataset from ROCStory",
232
  ),
233
  datasets.BuilderConfig(
234
- name=DiscoEvalConstants.SPWIKI,
235
  version=VERSION,
236
  description="Sentence positioning dataset from Wikipedia",
237
  ),
238
  datasets.BuilderConfig(
239
- name=DiscoEvalConstants.DCCHAT,
240
  version=VERSION,
241
  description="Discourse Coherence dataset from chat",
242
  ),
243
  datasets.BuilderConfig(
244
- name=DiscoEvalConstants.DCWIKI,
245
  version=VERSION,
246
  description="Discourse Coherence dataset from Wikipedia",
247
  ),
248
  datasets.BuilderConfig(
249
- name=DiscoEvalConstants.RST,
250
  version=VERSION,
251
  description="The RST Discourse Treebank dataset ",
252
  ),
253
  datasets.BuilderConfig(
254
- name=DiscoEvalConstants.PDTB_E,
255
  version=VERSION,
256
  description="The Penn Discourse Treebank - Explicit dataset.",
257
  ),
258
  datasets.BuilderConfig(
259
- name=DiscoEvalConstants.PDTB_I,
260
  version=VERSION,
261
  description="The Penn Discourse Treebank - Implicit dataset.",
262
  ),
263
  datasets.BuilderConfig(
264
- name=DiscoEvalConstants.SSPABS,
265
  version=VERSION,
266
  description="The SSP dataset.",
267
  ),
268
  datasets.BuilderConfig(
269
- name=DiscoEvalConstants.BSOARXIV,
270
  version=VERSION,
271
  description="The BSO Task with the arxiv dataset.",
272
  ),
273
  datasets.BuilderConfig(
274
- name=DiscoEvalConstants.BSOWIKI,
275
  version=VERSION,
276
  description="The BSO Task with the wiki dataset.",
277
  ),
278
  datasets.BuilderConfig(
279
- name=DiscoEvalConstants.BSOROCSTORY,
280
  version=VERSION,
281
  description="The BSO Task with the rocstory dataset.",
282
  ),
283
  ]
284
 
285
  def _info(self):
286
- if self.config.name in [DiscoEvalConstants.SPARXIV, DiscoEvalConstants.SPROCSTORY, DiscoEvalConstants.SPWIKI]:
287
  features_dict = {
288
- DiscoEvalConstants.TEXT_COLUMN_NAME[i]: datasets.Value('string')
289
- for i in range(DiscoEvalConstants.SP_TEXT_COLUMNS)
290
  }
291
- features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(
292
- names=list(DiscoEvalConstants.SP_LABELS.values()),
293
  )
294
  features = datasets.Features(features_dict)
295
 
296
- elif self.config.name in [DiscoEvalConstants.BSOARXIV, DiscoEvalConstants.BSOWIKI, DiscoEvalConstants.BSOROCSTORY]:
297
  features_dict = {
298
- DiscoEvalConstants.TEXT_COLUMN_NAME[i]: datasets.Value('string')
299
- for i in range(DiscoEvalConstants.BSO_TEXT_COLUMNS)
300
  }
301
- features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(
302
- names=list(DiscoEvalConstants.BSO_LABELS.values())
303
  )
304
  features = datasets.Features(features_dict)
305
 
306
- elif self.config.name in [DiscoEvalConstants.DCCHAT, DiscoEvalConstants.DCWIKI]:
307
  features_dict = {
308
- DiscoEvalConstants.TEXT_COLUMN_NAME[i]: datasets.Value('string')
309
- for i in range(DiscoEvalConstants.DC_TEXT_COLUMNS)
310
  }
311
- features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(
312
- names=list(DiscoEvalConstants.DC_LABELS.values())
313
  )
314
  features = datasets.Features(features_dict)
315
 
316
- elif self.config.name in [DiscoEvalConstants.RST]:
317
  features_dict = {
318
- DiscoEvalConstants.TEXT_COLUMN_NAME[i]: [datasets.Value('string')]
319
- for i in range(DiscoEvalConstants.RST_TEXT_COLUMNS)
320
  }
321
- features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(
322
- names=list(DiscoEvalConstants.RST_LABELS.values())
323
  )
324
  features = datasets.Features(features_dict)
325
 
326
- elif self.config.name in [DiscoEvalConstants.PDTB_E]:
327
  features_dict = {
328
- DiscoEvalConstants.TEXT_COLUMN_NAME[i]: datasets.Value('string')
329
- for i in range(DiscoEvalConstants.PDTB_E_TEXT_COLUMNS)
330
  }
331
- features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(
332
- names=DiscoEvalConstants.PDTB_E_LABELS
333
  )
334
  features = datasets.Features(features_dict)
335
 
336
- elif self.config.name in [DiscoEvalConstants.PDTB_I]:
337
  features_dict = {
338
- DiscoEvalConstants.TEXT_COLUMN_NAME[i]: datasets.Value('string')
339
- for i in range(DiscoEvalConstants.PDTB_I_TEXT_COLUMNS)
340
  }
341
- features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(
342
- names=DiscoEvalConstants.PDTB_I_LABELS
343
  )
344
  features = datasets.Features(features_dict)
345
 
346
- elif self.config.name in [DiscoEvalConstants.SSPABS]:
347
  features_dict = {
348
- DiscoEvalConstants.TEXT_COLUMN_NAME[i]: datasets.Value('string')
349
- for i in range(DiscoEvalConstants.SSPABS_TEXT_COLUMNS)
350
  }
351
- features_dict[DiscoEvalConstants.LABEL_NAME] = datasets.ClassLabel(
352
- names=list(DiscoEvalConstants.SSPABS_LABELS.values())
353
  )
354
  features = datasets.Features(features_dict)
355
 
@@ -361,41 +360,41 @@ class DiscoEvalSentence(datasets.GeneratorBasedBuilder):
361
  )
362
 
363
  def _split_generators(self, dl_manager):
364
- if self.config.name in [DiscoEvalConstants.SPARXIV, DiscoEvalConstants.SPROCSTORY, DiscoEvalConstants.SPWIKI]:
365
- data_dir = DiscoEvalConstants.SP_DATA_DIR + "/" + DiscoEvalConstants.SP_DIRS[self.config.name]
366
- train_name = DiscoEvalConstants.SP_TRAIN_NAME
367
- valid_name = DiscoEvalConstants.SP_VALID_NAME
368
- test_name = DiscoEvalConstants.SP_TEST_NAME
369
-
370
- elif self.config.name in [DiscoEvalConstants.BSOARXIV, DiscoEvalConstants.BSOWIKI, DiscoEvalConstants.BSOROCSTORY]:
371
- data_dir = DiscoEvalConstants.BSO_DATA_DIR + "/" + DiscoEvalConstants.BSO_DIRS[self.config.name]
372
- train_name = DiscoEvalConstants.BSO_TRAIN_NAME
373
- valid_name = DiscoEvalConstants.BSO_VALID_NAME
374
- test_name = DiscoEvalConstants.BSO_TEST_NAME
375
-
376
- elif self.config.name in [DiscoEvalConstants.DCCHAT, DiscoEvalConstants.DCWIKI]:
377
- data_dir = DiscoEvalConstants.DC_DATA_DIR + "/" + DiscoEvalConstants.DC_DIRS[self.config.name]
378
- train_name = DiscoEvalConstants.DC_TRAIN_NAME
379
- valid_name = DiscoEvalConstants.DC_VALID_NAME
380
- test_name = DiscoEvalConstants.DC_TEST_NAME
381
-
382
- elif self.config.name in [DiscoEvalConstants.RST]:
383
- data_dir = DiscoEvalConstants.RST_DATA_DIR
384
- train_name = DiscoEvalConstants.RST_TRAIN_NAME
385
- valid_name = DiscoEvalConstants.RST_VALID_NAME
386
- test_name = DiscoEvalConstants.RST_TEST_NAME
387
-
388
- elif self.config.name in [DiscoEvalConstants.PDTB_E, DiscoEvalConstants.PDTB_I]:
389
- data_dir = os.path.join(DiscoEvalConstants.PDTB_DATA_DIR, DiscoEvalConstants.PDTB_DIRS[self.config.name])
390
- train_name = DiscoEvalConstants.PDTB_TRAIN_NAME
391
- valid_name = DiscoEvalConstants.PDTB_VALID_NAME
392
- test_name = DiscoEvalConstants.PDTB_TEST_NAME
393
-
394
- elif self.config.name in [DiscoEvalConstants.SSPABS]:
395
- data_dir = DiscoEvalConstants.SSPABS_DATA_DIR
396
- train_name = DiscoEvalConstants.SSPABS_TRAIN_NAME
397
- valid_name = DiscoEvalConstants.SSPABS_VALID_NAME
398
- test_name = DiscoEvalConstants.SSPABS_TEST_NAME
399
 
400
  urls_to_download = {
401
  "train": data_dir + "/" + train_name,
@@ -436,28 +435,28 @@ class DiscoEvalSentence(datasets.GeneratorBasedBuilder):
436
  logger = logging.getLogger(__name__)
437
  logger.info(f"Current working dir: {os.getcwd()}")
438
  logger.info("generating examples from = %s", filepath)
439
- if self.config.name == DiscoEvalConstants.RST:
440
  data = pickle.load(open(filepath, "rb"))
441
  for key, line in enumerate(data):
442
- example = {DiscoEvalConstants.TEXT_COLUMN_NAME[i]: sent for i, sent in enumerate(line[1:])}
443
- example[DiscoEvalConstants.LABEL_NAME] = DiscoEvalConstants.RST_DATA_DIR[line[0]]
444
  yield key, example
445
 
446
  else:
447
  with io.open(filepath, mode='r', encoding='utf-8') as f:
448
  for key, line in enumerate(f):
449
  line = line.strip().split("\t")
450
- example = {DiscoEvalConstants.TEXT_COLUMN_NAME[i]: sent for i, sent in enumerate(line[1:])}
451
- if self.config.name == DiscoEvalConstants.PDTB_E:
452
- example[DiscoEvalConstants.LABEL_NAME] = DiscoEvalConstants.PDTB_E_LABELS[int(line[0])]
453
- if self.config.name == DiscoEvalConstants.PDTB_I:
454
- example[DiscoEvalConstants.LABEL_NAME] = DiscoEvalConstants.PDTB_I_LABELS[int(line[0])]
455
- elif self.config.name in (DiscoEvalConstants.DCCHAT, DiscoEvalConstants.DCWIKI):
456
- example[DiscoEvalConstants.LABEL_NAME] = DiscoEvalConstants.DC_LABELS[line[0]]
457
- elif self.config.name == DiscoEvalConstants.SSPABS:
458
- example[DiscoEvalConstants.LABEL_NAME] = DiscoEvalConstants.SSPABS_LABELS[line[0]]
459
- elif self.config.name in (DiscoEvalConstants.SPWIKI, DiscoEvalConstants.SPROCSTORY, DiscoEvalConstants.SPARXIV):
460
- example[DiscoEvalConstants.LABEL_NAME] = DiscoEvalConstants.SP_LABELS[line[0]]
461
- elif self.config.name in (DiscoEvalConstants.BSOARXIV, DiscoEvalConstants.BSOWIKI, DiscoEvalConstants.BSOROCSTORY):
462
- example[DiscoEvalConstants.LABEL_NAME] = DiscoEvalConstants.BSO_LABELS[line[0]]
463
  yield key, example
 
15
  import os
16
  import io
17
  import datasets
 
18
  import pickle
19
  import logging
20
 
 
220
  VERSION = datasets.Version("1.1.0")
221
  BUILDER_CONFIGS = [
222
  datasets.BuilderConfig(
223
+ name=SPARXIV,
224
  version=VERSION,
225
  description="Sentence positioning dataset from arXiv",
226
  ),
227
  datasets.BuilderConfig(
228
+ name=SPROCSTORY,
229
  version=VERSION,
230
  description="Sentence positioning dataset from ROCStory",
231
  ),
232
  datasets.BuilderConfig(
233
+ name=SPWIKI,
234
  version=VERSION,
235
  description="Sentence positioning dataset from Wikipedia",
236
  ),
237
  datasets.BuilderConfig(
238
+ name=DCCHAT,
239
  version=VERSION,
240
  description="Discourse Coherence dataset from chat",
241
  ),
242
  datasets.BuilderConfig(
243
+ name=DCWIKI,
244
  version=VERSION,
245
  description="Discourse Coherence dataset from Wikipedia",
246
  ),
247
  datasets.BuilderConfig(
248
+ name=RST,
249
  version=VERSION,
250
  description="The RST Discourse Treebank dataset ",
251
  ),
252
  datasets.BuilderConfig(
253
+ name=PDTB_E,
254
  version=VERSION,
255
  description="The Penn Discourse Treebank - Explicit dataset.",
256
  ),
257
  datasets.BuilderConfig(
258
+ name=PDTB_I,
259
  version=VERSION,
260
  description="The Penn Discourse Treebank - Implicit dataset.",
261
  ),
262
  datasets.BuilderConfig(
263
+ name=SSPABS,
264
  version=VERSION,
265
  description="The SSP dataset.",
266
  ),
267
  datasets.BuilderConfig(
268
+ name=BSOARXIV,
269
  version=VERSION,
270
  description="The BSO Task with the arxiv dataset.",
271
  ),
272
  datasets.BuilderConfig(
273
+ name=BSOWIKI,
274
  version=VERSION,
275
  description="The BSO Task with the wiki dataset.",
276
  ),
277
  datasets.BuilderConfig(
278
+ name=BSOROCSTORY,
279
  version=VERSION,
280
  description="The BSO Task with the rocstory dataset.",
281
  ),
282
  ]
283
 
284
  def _info(self):
285
+ if self.config.name in [SPARXIV, SPROCSTORY, SPWIKI]:
286
  features_dict = {
287
+ TEXT_COLUMN_NAME[i]: datasets.Value('string')
288
+ for i in range(SP_TEXT_COLUMNS)
289
  }
290
+ features_dict[LABEL_NAME] = datasets.ClassLabel(
291
+ names=list(SP_LABELS.values()),
292
  )
293
  features = datasets.Features(features_dict)
294
 
295
+ elif self.config.name in [BSOARXIV, BSOWIKI, BSOROCSTORY]:
296
  features_dict = {
297
+ TEXT_COLUMN_NAME[i]: datasets.Value('string')
298
+ for i in range(BSO_TEXT_COLUMNS)
299
  }
300
+ features_dict[LABEL_NAME] = datasets.ClassLabel(
301
+ names=list(BSO_LABELS.values())
302
  )
303
  features = datasets.Features(features_dict)
304
 
305
+ elif self.config.name in [DCCHAT, DCWIKI]:
306
  features_dict = {
307
+ TEXT_COLUMN_NAME[i]: datasets.Value('string')
308
+ for i in range(DC_TEXT_COLUMNS)
309
  }
310
+ features_dict[LABEL_NAME] = datasets.ClassLabel(
311
+ names=list(DC_LABELS.values())
312
  )
313
  features = datasets.Features(features_dict)
314
 
315
+ elif self.config.name in [RST]:
316
  features_dict = {
317
+ TEXT_COLUMN_NAME[i]: [datasets.Value('string')]
318
+ for i in range(RST_TEXT_COLUMNS)
319
  }
320
+ features_dict[LABEL_NAME] = datasets.ClassLabel(
321
+ names=RST_LABELS
322
  )
323
  features = datasets.Features(features_dict)
324
 
325
+ elif self.config.name in [PDTB_E]:
326
  features_dict = {
327
+ TEXT_COLUMN_NAME[i]: datasets.Value('string')
328
+ for i in range(PDTB_E_TEXT_COLUMNS)
329
  }
330
+ features_dict[LABEL_NAME] = datasets.ClassLabel(
331
+ names=PDTB_E_LABELS
332
  )
333
  features = datasets.Features(features_dict)
334
 
335
+ elif self.config.name in [PDTB_I]:
336
  features_dict = {
337
+ TEXT_COLUMN_NAME[i]: datasets.Value('string')
338
+ for i in range(PDTB_I_TEXT_COLUMNS)
339
  }
340
+ features_dict[LABEL_NAME] = datasets.ClassLabel(
341
+ names=PDTB_I_LABELS
342
  )
343
  features = datasets.Features(features_dict)
344
 
345
+ elif self.config.name in [SSPABS]:
346
  features_dict = {
347
+ TEXT_COLUMN_NAME[i]: datasets.Value('string')
348
+ for i in range(SSPABS_TEXT_COLUMNS)
349
  }
350
+ features_dict[LABEL_NAME] = datasets.ClassLabel(
351
+ names=list(SSPABS_LABELS.values())
352
  )
353
  features = datasets.Features(features_dict)
354
 
 
360
  )
361
 
362
  def _split_generators(self, dl_manager):
363
+ if self.config.name in [SPARXIV, SPROCSTORY, SPWIKI]:
364
+ data_dir = SP_DATA_DIR + "/" + SP_DIRS[self.config.name]
365
+ train_name = SP_TRAIN_NAME
366
+ valid_name = SP_VALID_NAME
367
+ test_name = SP_TEST_NAME
368
+
369
+ elif self.config.name in [BSOARXIV, BSOWIKI, BSOROCSTORY]:
370
+ data_dir = BSO_DATA_DIR + "/" + BSO_DIRS[self.config.name]
371
+ train_name = BSO_TRAIN_NAME
372
+ valid_name = BSO_VALID_NAME
373
+ test_name = BSO_TEST_NAME
374
+
375
+ elif self.config.name in [DCCHAT, DCWIKI]:
376
+ data_dir = DC_DATA_DIR + "/" + DC_DIRS[self.config.name]
377
+ train_name = DC_TRAIN_NAME
378
+ valid_name = DC_VALID_NAME
379
+ test_name = DC_TEST_NAME
380
+
381
+ elif self.config.name in [RST]:
382
+ data_dir = RST_DATA_DIR
383
+ train_name = RST_TRAIN_NAME
384
+ valid_name = RST_VALID_NAME
385
+ test_name = RST_TEST_NAME
386
+
387
+ elif self.config.name in [PDTB_E, PDTB_I]:
388
+ data_dir = os.path.join(PDTB_DATA_DIR, PDTB_DIRS[self.config.name])
389
+ train_name = PDTB_TRAIN_NAME
390
+ valid_name = PDTB_VALID_NAME
391
+ test_name = PDTB_TEST_NAME
392
+
393
+ elif self.config.name in [SSPABS]:
394
+ data_dir = SSPABS_DATA_DIR
395
+ train_name = SSPABS_TRAIN_NAME
396
+ valid_name = SSPABS_VALID_NAME
397
+ test_name = SSPABS_TEST_NAME
398
 
399
  urls_to_download = {
400
  "train": data_dir + "/" + train_name,
 
435
  logger = logging.getLogger(__name__)
436
  logger.info(f"Current working dir: {os.getcwd()}")
437
  logger.info("generating examples from = %s", filepath)
438
+ if self.config.name == RST:
439
  data = pickle.load(open(filepath, "rb"))
440
  for key, line in enumerate(data):
441
+ example = {TEXT_COLUMN_NAME[i]: sent for i, sent in enumerate(line[1:])}
442
+ example[LABEL_NAME] = RST_DATA_DIR[line[0]]
443
  yield key, example
444
 
445
  else:
446
  with io.open(filepath, mode='r', encoding='utf-8') as f:
447
  for key, line in enumerate(f):
448
  line = line.strip().split("\t")
449
+ example = {TEXT_COLUMN_NAME[i]: sent for i, sent in enumerate(line[1:])}
450
+ if self.config.name == PDTB_E:
451
+ example[LABEL_NAME] = PDTB_E_LABELS[int(line[0])]
452
+ if self.config.name == PDTB_I:
453
+ example[LABEL_NAME] = PDTB_I_LABELS[int(line[0])]
454
+ elif self.config.name in (DCCHAT, DCWIKI):
455
+ example[LABEL_NAME] = DC_LABELS[line[0]]
456
+ elif self.config.name == SSPABS:
457
+ example[LABEL_NAME] = SSPABS_LABELS[line[0]]
458
+ elif self.config.name in (SPWIKI, SPROCSTORY, SPARXIV):
459
+ example[LABEL_NAME] = SP_LABELS[line[0]]
460
+ elif self.config.name in (BSOARXIV, BSOWIKI, BSOROCSTORY):
461
+ example[LABEL_NAME] = BSO_LABELS[line[0]]
462
  yield key, example