Datasets:

---

pursuitYP

/

SIE_data

Like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
answer: string
subject: string
level: int64
unique_id: string
data_source: string
prompt: list<element: struct<content: string, role: string>>
  child 0, element: struct<content: string, role: string>
      child 0, content: string
      child 1, role: string
ability: string
reward_model: struct<ground_truth: struct<target: list<element: string>>, style: string>
  child 0, ground_truth: struct<target: list<element: string>>
      child 0, target: list<element: string>
          child 0, element: string
  child 1, style: string
extra_info: struct<index: int64, split: string>
  child 0, index: int64
  child 1, split: string
-- schema metadata --
huggingface: '{"info": {"features": {"answer": {"dtype": "string", "_type' + 680
to
{'data_source': Value('string'), 'prompt': List({'content': Value('string'), 'role': Value('string')}), 'ability': Value('string'), 'reward_model': {'ground_truth': {'target': List(Value('string'))}, 'style': Value('string')}, 'extra_info': {'answer': List(Value('string')), 'index': Value('int64'), 'question': Value('string'), 'question_id': Value('string'), 'split': Value('string')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1405, in compute_config_parquet_and_info_response
                  fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 578, in fill_builder_info
                  ) = retry_validate_get_features_num_examples_size_and_compression_ratio(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 497, in retry_validate_get_features_num_examples_size_and_compression_ratio
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 535, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 774258989 which exceeds the limit of 300000000
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 692, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              answer: string
              subject: string
              level: int64
              unique_id: string
              data_source: string
              prompt: list<element: struct<content: string, role: string>>
                child 0, element: struct<content: string, role: string>
                    child 0, content: string
                    child 1, role: string
              ability: string
              reward_model: struct<ground_truth: struct<target: list<element: string>>, style: string>
                child 0, ground_truth: struct<target: list<element: string>>
                    child 0, target: list<element: string>
                        child 0, element: string
                child 1, style: string
              extra_info: struct<index: int64, split: string>
                child 0, index: int64
                child 1, split: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"answer": {"dtype": "string", "_type' + 680
              to
              {'data_source': Value('string'), 'prompt': List({'content': Value('string'), 'role': Value('string')}), 'ability': Value('string'), 'reward_model': {'ground_truth': {'target': List(Value('string'))}, 'style': Value('string')}, 'extra_info': {'answer': List(Value('string')), 'index': Value('int64'), 'question': Value('string'), 'question_id': Value('string'), 'split': Value('string')}}
              because column names don't match
              
              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 1428, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, 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 1858, 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