The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError Exception: ValueError Message: Not able to read records in the JSON file at hf://datasets/mevol/protein_structure_NER_independent_val_set@9c98b22f5aaa4005d0b27f06939fe4c267f1eb68/annotation_JSON/annotations.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['PMC5173035', 'PMC4993997', 'PMC5014086', 'PMC5063996', 'PMC4980666', 'PMC4817029', 'PMC5012862', 'PMC4981400', 'PMC4806292', 'PMC5603727']. Select the correct one and provide it as `field='XXX'` to the dataset loading method. Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 96, in get_rows_or_raise return get_rows( File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 73, in get_rows rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__ for key, pa_table in self.generate_tables_fn(**self.kwargs): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 170, in _generate_tables raise ValueError( ValueError: Not able to read records in the JSON file at hf://datasets/mevol/protein_structure_NER_independent_val_set@9c98b22f5aaa4005d0b27f06939fe4c267f1eb68/annotation_JSON/annotations.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['PMC5173035', 'PMC4993997', 'PMC5014086', 'PMC5063996', 'PMC4980666', 'PMC4817029', 'PMC5012862', 'PMC4981400', 'PMC4806292', 'PMC5603727']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.