Datasets:

---

swan07

/

final-models

like 0

Error code:   StreamingRowsError
Exception:    ValueError
Message:      Not able to read records in the JSON file at hf://datasets/swan07/final-models@cede139e1f1b13ca3c1ec5b7c8261f8d8842f435/bertmodel/tokenizer.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['version', 'truncation', 'padding', 'added_tokens', 'normalizer', 'pre_tokenizer', 'post_processor', 'decoder', 'model']. 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/swan07/final-models@cede139e1f1b13ca3c1ec5b7c8261f8d8842f435/bertmodel/tokenizer.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['version', 'truncation', 'padding', 'added_tokens', 'normalizer', 'pre_tokenizer', 'post_processor', 'decoder', 'model']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.