Closed nachollorca closed 1 year ago
Closes bug #888, which was causing some documents to be parsed incorrectly for CARDIO:DE.
INFO:__main__:args: Namespace(bypass_keys=[], bypass_split_key_pairs=[], bypass_splits=[], config_name=None, data_dir='/dhc/home/ignacio.rodriguez/cardio_de_corpus', dataset_name='cardiode', test_local=True) INFO:__main__:Running (Local) Unit Test INFO:__main__:all_config_names: ['cardiode_source', 'cardiode_bigbio_kb'] INFO:__main__:self.DATASET_NAME: bigbio/hub/hub_repos/cardiode/cardiode.py INFO:__main__:self.CONFIG_NAME: cardiode_source INFO:__main__:self.DATA_DIR: /dhc/home/ignacio.rodriguez/cardio_de_corpus INFO:__main__:importing module .... INFO:__main__:imported module <module 'datasets_modules.datasets.cardiode.4e2e3faad676e674c33287b8e6ccdf407e15c38c8c54bfef90e358667d61bf69.cardiode' from '/dhc/home/ignacio.rodriguez/.cache/huggingface/modules/datasets_modules/datasets/cardiode/4e2e3faad676e674c33287b8e6ccdf407e15c38c8c54bfef90e358667d61bf69/cardiode.py'> INFO:__main__:Checking for _SUPPORTED_TASKS ... INFO:__main__:Found _SUPPORTED_TASKS=['NAMED_ENTITY_RECOGNITION'] INFO:__main__:_SUPPORTED_TASKS implies _MAPPED_SCHEMAS={'KB'} INFO:__main__:Checking load_dataset with config name cardiode_source WARNING:datasets.builder:Using custom data configuration cardiode_source-c8bb5852e63a7387 Dataset = cardiode DatasetModule(module_path='datasets_modules.datasets.cardiode.4e2e3faad676e674c33287b8e6ccdf407e15c38c8c54bfef90e358667d61bf69.cardiode', hash='4e2e3faad676e674c33287b8e6ccdf407e15c38c8c54bfef90e358667d61bf69', builder_kwargs={'hash': '4e2e3faad676e674c33287b8e6ccdf407e15c38c8c54bfef90e358667d61bf69', 'base_path': 'bigbio/hub/hub_repos/cardiode'}) Downloading and preparing dataset cardiode/cardiode_source to /dhc/home/ignacio.rodriguez/.cache/huggingface/datasets/cardiode/cardiode_source-c8bb5852e63a7387/5.0.0/4e2e3faad676e674c33287b8e6ccdf407e15c38c8c54bfef90e358667d61bf69... 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examples/s] Generating train split: 387 examples [03:23, 2.88 examples/s] Generating train split: 388 examples [03:23, 2.51 examples/s] Generating train split: 389 examples [03:24, 2.00 examples/s] Generating train split: 390 examples [03:24, 2.38 examples/s] Generating train split: 391 examples [03:25, 2.84 examples/s] Generating train split: 392 examples [03:25, 2.45 examples/s] Generating train split: 393 examples [03:25, 2.62 examples/s] Generating train split: 394 examples [03:26, 2.35 examples/s] Generating train split: 395 examples [03:27, 2.07 examples/s] Generating train split: 396 examples [03:27, 2.54 examples/s] Generating train split: 397 examples [03:27, 2.19 examples/s] Generating train split: 398 examples [03:28, 1.99 examples/s] Generating train split: 399 examples [03:29, 1.73 examples/s] Generating train split: 400 examples [03:29, 2.12 examples/s] Dataset cardiode downloaded and prepared to /dhc/home/ignacio.rodriguez/.cache/huggingface/datasets/cardiode/cardiode_source-c8bb5852e63a7387/5.0.0/4e2e3faad676e674c33287b8e6ccdf407e15c38c8c54bfef90e358667d61bf69. Subsequent calls will reuse this data. 0%| | 0/1 [00:00<?, ?it/s] 100%|██████████| 1/1 [00:00<00:00, 108.29it/s] INFO:__main__:schema = source . ---------------------------------------------------------------------- Ran 1 test in 212.404s OK INFO:__main__:self.DATASET_NAME: bigbio/hub/hub_repos/cardiode/cardiode.py INFO:__main__:self.CONFIG_NAME: cardiode_bigbio_kb INFO:__main__:self.DATA_DIR: /dhc/home/ignacio.rodriguez/cardio_de_corpus INFO:__main__:importing module .... INFO:__main__:imported module <module 'datasets_modules.datasets.cardiode.4e2e3faad676e674c33287b8e6ccdf407e15c38c8c54bfef90e358667d61bf69.cardiode' from '/dhc/home/ignacio.rodriguez/.cache/huggingface/modules/datasets_modules/datasets/cardiode/4e2e3faad676e674c33287b8e6ccdf407e15c38c8c54bfef90e358667d61bf69/cardiode.py'> INFO:__main__:Checking for _SUPPORTED_TASKS ... INFO:__main__:Found _SUPPORTED_TASKS=['NAMED_ENTITY_RECOGNITION'] INFO:__main__:_SUPPORTED_TASKS implies _MAPPED_SCHEMAS={'KB'} INFO:__main__:Checking load_dataset with config name cardiode_bigbio_kb WARNING:datasets.builder:Using custom data configuration cardiode_bigbio_kb-c8bb5852e63a7387 Downloading and preparing dataset cardiode/cardiode_bigbio_kb to /dhc/home/ignacio.rodriguez/.cache/huggingface/datasets/cardiode/cardiode_bigbio_kb-c8bb5852e63a7387/1.0.0/4e2e3faad676e674c33287b8e6ccdf407e15c38c8c54bfef90e358667d61bf69... 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examples] Generating train split: 339 examples [04:06, 1.11s/ examples] Generating train split: 340 examples [04:06, 1.12 examples/s] Generating train split: 341 examples [04:08, 1.04 examples/s] Generating train split: 342 examples [04:08, 1.23 examples/s] Generating train split: 343 examples [04:08, 1.44 examples/s] Generating train split: 344 examples [04:09, 1.33 examples/s] Generating train split: 345 examples [04:11, 1.14 examples/s] Generating train split: 346 examples [04:12, 1.05s/ examples] Generating train split: 347 examples [04:13, 1.11 examples/s] Generating train split: 348 examples [04:14, 1.01s/ examples] Generating train split: 349 examples [04:15, 1.01s/ examples] Generating train split: 350 examples [04:16, 1.10 examples/s] Generating train split: 351 examples [04:16, 1.17 examples/s] Generating train split: 352 examples [04:17, 1.27 examples/s] Generating train split: 353 examples [04:17, 1.56 examples/s] Generating train split: 354 examples [04:18, 1.77 examples/s] Generating train split: 355 examples [04:18, 1.94 examples/s] Generating train split: 356 examples [04:18, 2.14 examples/s] Generating train split: 357 examples [04:19, 2.37 examples/s] Generating train split: 358 examples [04:19, 2.27 examples/s] Generating train split: 359 examples [04:20, 1.80 examples/s] Generating train split: 360 examples [04:20, 1.95 examples/s] Generating train split: 361 examples [04:21, 2.11 examples/s] Generating train split: 362 examples [04:21, 2.03 examples/s] Generating train split: 363 examples [04:22, 1.99 examples/s] Generating train split: 364 examples [04:22, 2.19 examples/s] Generating train split: 365 examples [04:23, 2.32 examples/s] Generating train split: 366 examples [04:23, 2.73 examples/s] Generating train split: 367 examples [04:23, 2.64 examples/s] Generating train split: 368 examples [04:23, 2.94 examples/s] Generating train split: 369 examples [04:24, 2.65 examples/s] Generating train split: 370 examples [04:24, 2.83 examples/s] Generating train split: 371 examples [04:24, 2.92 examples/s] Generating train split: 372 examples [04:25, 2.97 examples/s] Generating train split: 373 examples [04:25, 2.90 examples/s] Generating train split: 374 examples [04:26, 2.84 examples/s] Generating train split: 375 examples [04:26, 2.23 examples/s] Generating train split: 376 examples [04:27, 1.95 examples/s] Generating train split: 377 examples [04:27, 2.30 examples/s] Generating train split: 378 examples [04:27, 2.58 examples/s] Generating train split: 379 examples [04:28, 2.78 examples/s] Generating train split: 380 examples [04:28, 2.60 examples/s] Generating train split: 381 examples [04:29, 1.70 examples/s] Generating train split: 382 examples [04:30, 1.37 examples/s] Generating train split: 383 examples [04:30, 1.72 examples/s] Generating train split: 384 examples [04:31, 1.60 examples/s] Generating train split: 385 examples [04:32, 1.43 examples/s] Generating train split: 386 examples [04:32, 1.75 examples/s] Generating train split: 387 examples [04:33, 2.18 examples/s] Generating train split: 388 examples [04:33, 1.89 examples/s] Generating train split: 389 examples [04:34, 1.49 examples/s] Generating train split: 390 examples [04:35, 1.73 examples/s] Generating train split: 391 examples [04:35, 2.06 examples/s] Generating train split: 392 examples [04:36, 1.77 examples/s] Generating train split: 393 examples [04:36, 1.88 examples/s] Generating train split: 394 examples [04:37, 1.70 examples/s] Generating train split: 395 examples [04:38, 1.50 examples/s] Generating train split: 396 examples [04:38, 1.84 examples/s] Generating train split: 397 examples [04:39, 1.59 examples/s] Generating train split: 398 examples [04:40, 1.41 examples/s] Generating train split: 399 examples [04:41, 1.28 examples/s] Generating train split: 400 examples [04:41, 1.57 examples/s] Dataset cardiode downloaded and prepared to /dhc/home/ignacio.rodriguez/.cache/huggingface/datasets/cardiode/cardiode_bigbio_kb-c8bb5852e63a7387/1.0.0/4e2e3faad676e674c33287b8e6ccdf407e15c38c8c54bfef90e358667d61bf69. Subsequent calls will reuse this data. 0%| | 0/1 [00:00<?, ?it/s] 100%|██████████| 1/1 [00:00<00:00, 140.65it/s] INFO:__main__:schema = KB INFO:__main__:Checking global ID uniqueness INFO:__main__:Found 117870 unique IDs INFO:__main__:Gathering dataset statistics INFO:__main__:Testing schema for: train INFO:__main__:Checking if referenced IDs are properly mapped INFO:__main__:KB ONLY: Checking passage offsets INFO:__main__:KB ONLY: Checking entity offsets INFO:__main__:KB ONLY: multi-label `db_id` INFO:__main__:KB ONLY: Checking event offsets INFO:__main__:KB ONLY: Checking coref offsets INFO:__main__:KB ONLY: multi-label `type` fields . ---------------------------------------------------------------------- Ran 1 test in 309.474s OK train ========== id: 400 document_id: 400 passages: 96203 entities: 21267 normalized: 0 events: 0 coreferences: 0 relations: 0
Closes bug #888, which was causing some documents to be parsed incorrectly for CARDIO:DE.