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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<Banking_Exam_MCQ: struct<metric_name: double>, Azerbaijani_Lang_MC: struct<metric_name: double>, Azerbaijani_Lit_MC: struct<metric_name: double>, Biology_MC: struct<metric_name: double>, Geography_MC: struct<metric_name: double>, Logic_MC: struct<metric_name: double>, History_MC: struct<metric_name: double>, Informatics_MC: struct<metric_name: double>, Physics_MC: struct<metric_name: double>, Chemistry_MC: struct<metric_name: double>, Azerbaijani_Hist_MC: struct<metric_name: double>, Banking_Call_Classification_MC: struct<metric_name: double>, ARC: struct<metric_name: double>, GSM8K: struct<metric_name: double>, Banking_QA: struct<metric_name: double>, Wiki_CQA: struct<metric_name: double>>
to
{'Banking_QA': {'metric_name': Value(dtype='float64', id=None)}, 'Wiki_CQA': {'metric_name': Value(dtype='float64', id=None)}}
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 580, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema
                  arrays = [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp>
                  cast_array_to_feature(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2108, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<Banking_Exam_MCQ: struct<metric_name: double>, Azerbaijani_Lang_MC: struct<metric_name: double>, Azerbaijani_Lit_MC: struct<metric_name: double>, Biology_MC: struct<metric_name: double>, Geography_MC: struct<metric_name: double>, Logic_MC: struct<metric_name: double>, History_MC: struct<metric_name: double>, Informatics_MC: struct<metric_name: double>, Physics_MC: struct<metric_name: double>, Chemistry_MC: struct<metric_name: double>, Azerbaijani_Hist_MC: struct<metric_name: double>, Banking_Call_Classification_MC: struct<metric_name: double>, ARC: struct<metric_name: double>, GSM8K: struct<metric_name: double>, Banking_QA: struct<metric_name: double>, Wiki_CQA: struct<metric_name: double>>
              to
              {'Banking_QA': {'metric_name': Value(dtype='float64', id=None)}, 'Wiki_CQA': {'metric_name': Value(dtype='float64', id=None)}}
              
              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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config
dict
results
dict
{ "submitted_time": "2024-10-28T08:33:27", "model_name": "nvidia/None" }
{ "Banking_QA": { "metric_name": 0.13762928924943757 }, "Wiki_CQA": { "metric_name": 0.17938533958510447 } }
{ "submitted_time": "2024-10-28T08:37:25", "model_name": "nvidia/None" }
{ "Banking_QA": { "metric_name": 0.1846840942950269 }, "Wiki_CQA": { "metric_name": 0.2482703613152344 } }
{ "submitted_time": "2024-10-28T08:45:59", "model_name": "nvidia/None" }
{ "Banking_QA": { "metric_name": 0.3527511046043052 }, "Wiki_CQA": { "metric_name": 0.47288376337709037 } }
{ "submitted_time": "2024-10-28T08:54:27", "model_name": "nvidia/None" }
{ "Banking_QA": { "metric_name": 0.34927172316100624 }, "Wiki_CQA": { "metric_name": 0.475254897397709 } }
{ "submitted_time": "2024-10-27T10:38:10", "model_name": "nvidia/nvidia/Llama-3.1-Nemotron-70B-Instruct" }
{ "Banking_Exam_MCQ": { "metric_name": 1 }, "Azerbaijani_Lang_MC": { "metric_name": 0 }, "Azerbaijani_Lit_MC": { "metric_name": 0 }, "Biology_MC": { "metric_name": 1 }, "Geography_MC": { "metric_name": 1 }, "Logic_MC": { "metric_name": 0 }, "History_MC": { "metric_name": 0 }, "Informatics_MC": { "metric_name": 1 }, "Physics_MC": { "metric_name": 1 }, "Chemistry_MC": { "metric_name": 1 }, "Azerbaijani_Hist_MC": { "metric_name": 1 }, "Banking_Call_Classification_MC": { "metric_name": 1 }, "ARC": { "metric_name": 1 }, "GSM8K": { "metric_name": 0 }, "Banking_QA": { "metric_name": 0.13762928924943757 }, "Wiki_CQA": { "metric_name": 0.17938533958510447 } }