urchade/gliner_multi_pii-v1
Token Classification
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Error code: FeaturesError Exception: ValueError Message: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/urchade/synthetic-pii-ner-mistral-v1@392d6853aaec28075253565350e0d17b9e0ffc0d/data.json. Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2643, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1659, in _head return _examples_to_batch(list(self.take(n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1816, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1347, in __iter__ for key_example in islice(self.ex_iterable, self.n - ex_iterable_num_taken): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 318, in __iter__ for key, pa_table in self.generate_tables_fn(**gen_kwags): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 165, in _generate_tables raise ValueError( ValueError: Failed to convert pandas DataFrame to Arrow Table from file hf://datasets/urchade/synthetic-pii-ner-mistral-v1@392d6853aaec28075253565350e0d17b9e0ffc0d/data.json.
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This the synthetic dataset used for training https://huggingface.co/urchade/gliner_multi_pii-v1
. You can get it by browsing the files and dowloading the data.json
file.