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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowIndexError
Message:      array slice would exceed array length
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 579, in write_table
                  pa_table = pa_table.combine_chunks()
                File "pyarrow/table.pxi", line 3638, in pyarrow.lib.Table.combine_chunks
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowIndexError: array slice would exceed array length
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1392, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1041, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1740, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1896, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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messages
list
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
[ { "role": "user", "content": "<s>[INST] You are good at mention detection. Identify and extract mentions of entities from the text. Please output the original text with annotations. Here, the annotation for each mention should be formatted as `<MENTION>{mention in text}</MENTION>` when displayed. \n\nTEST T...
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