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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type struct<pxd: string, term: string, category: string, modification: string, column: string, query: string> to string
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2224, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2052, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2002, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2052, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2002, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2002, in cast_array_to_feature
                  _c(array.field(name) if name in array_fields else null_array, subfeature)
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2086, in cast_array_to_feature
                  return array_cast(
                         ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1797, in wrapper
                  return func(array, *args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1950, in array_cast
                  raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
              TypeError: Couldn't cast array of type struct<pxd: string, term: string, category: string, modification: string, column: string, query: string> to string
              
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1919, 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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[ { "role": "system", "content": "You are an expert proteomics SDRF metadata extraction agent. Your task is to extract structured metadata from proteomics papers and format it according to SDRF (Sample and Data Relationship Format) standards.\n\nYour workflow:\n1. First call pride_lookup to get authoritative ...
[ { "type": "function", "function": { "name": "pride_lookup", "description": "Fetch authoritative metadata from the PRIDE proteomics repository for a given PXD accession. Returns instruments, organisms, modifications, and quantification methods.", "parameters": { "type": "object", ...
[ { "role": "system", "content": "You are an expert proteomics SDRF metadata extraction agent. Your task is to extract structured metadata from proteomics papers and format it according to SDRF (Sample and Data Relationship Format) standards.\n\nYour workflow:\n1. First call pride_lookup to get authoritative ...
[ { "type": "function", "function": { "name": "pride_lookup", "description": "Fetch authoritative metadata from the PRIDE proteomics repository for a given PXD accession. Returns instruments, organisms, modifications, and quantification methods.", "parameters": { "type": "object", ...
[ { "role": "system", "content": "You are an expert proteomics SDRF metadata extraction agent. Your task is to extract structured metadata from proteomics papers and format it according to SDRF (Sample and Data Relationship Format) standards.\n\nYour workflow:\n1. First call pride_lookup to get authoritative ...
[ { "type": "function", "function": { "name": "pride_lookup", "description": "Fetch authoritative metadata from the PRIDE proteomics repository for a given PXD accession. Returns instruments, organisms, modifications, and quantification methods.", "parameters": { "type": "object", ...
[ { "role": "system", "content": "You are an expert proteomics SDRF metadata extraction agent. Your task is to extract structured metadata from proteomics papers and format it according to SDRF (Sample and Data Relationship Format) standards.\n\nYour workflow:\n1. First call pride_lookup to get authoritative ...
[ { "type": "function", "function": { "name": "pride_lookup", "description": "Fetch authoritative metadata from the PRIDE proteomics repository for a given PXD accession. Returns instruments, organisms, modifications, and quantification methods.", "parameters": { "type": "object", ...
[ { "role": "system", "content": "You are an expert proteomics SDRF metadata extraction agent. Your task is to extract structured metadata from proteomics papers and format it according to SDRF (Sample and Data Relationship Format) standards.\n\nYour workflow:\n1. First call pride_lookup to get authoritative ...
[ { "type": "function", "function": { "name": "pride_lookup", "description": "Fetch authoritative metadata from the PRIDE proteomics repository for a given PXD accession. Returns instruments, organisms, modifications, and quantification methods.", "parameters": { "type": "object", ...
[{"role":"system","content":"You are an expert proteomics SDRF metadata extraction agent. Your task (...TRUNCATED)
[{"type":"function","function":{"name":"pride_lookup","description":"Fetch authoritative metadata fr(...TRUNCATED)
[{"role":"system","content":"You are an expert proteomics SDRF metadata extraction agent. Your task (...TRUNCATED)
[{"type":"function","function":{"name":"pride_lookup","description":"Fetch authoritative metadata fr(...TRUNCATED)
[{"role":"system","content":"You are an expert proteomics SDRF metadata extraction agent. Your task (...TRUNCATED)
[{"type":"function","function":{"name":"pride_lookup","description":"Fetch authoritative metadata fr(...TRUNCATED)
[{"role":"system","content":"You are an expert proteomics SDRF metadata extraction agent. Your task (...TRUNCATED)
[{"type":"function","function":{"name":"pride_lookup","description":"Fetch authoritative metadata fr(...TRUNCATED)
[{"role":"system","content":"You are an expert proteomics SDRF metadata extraction agent. Your task (...TRUNCATED)
[{"type":"function","function":{"name":"pride_lookup","description":"Fetch authoritative metadata fr(...TRUNCATED)
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