Datasets:

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open-source-scientific-documents

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KASYS 7

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
config: struct<allow_missing_figure_clues: bool, allow_partial_components: bool, attn_implementation: string (... 5209 chars omitted)
  child 0, allow_missing_figure_clues: bool
  child 1, allow_partial_components: bool
  child 2, attn_implementation: string
  child 3, batch_size: int64
  child 4, clues_dir: string
  child 5, collection_id: string
  child 6, config_path: string
  child 7, dataset: string
  child 8, device_map: string
  child 9, dtype: string
  child 10, end_index: null
  child 11, extra_metadata: struct<managed_settings: struct<dataset: string, query_set: string, raw_settings: struct<dataset: st (... 3814 chars omitted)
      child 0, managed_settings: struct<dataset: string, query_set: string, raw_settings: struct<dataset: struct<clues_dir: string, n (... 3788 chars omitted)
          child 0, dataset: string
          child 1, query_set: string
          child 2, raw_settings: struct<dataset: struct<clues_dir: string, name: string, pdf_dir: string, preprocessed: string, proce (... 3708 chars omitted)
              child 0, dataset: struct<clues_dir: string, name: string, pdf_dir: string, preprocessed: string, processed_root: strin (... 120 chars omitted)
                  child 0, clues_dir: string
                  child 1, name: string
                  child 2, pdf_dir: string
                  child 3, preprocessed: string
                  child 4, processed_root: string
                  child 5, query_output: string
                  child 6, root: s
...
ing, dtype: string>
      child 0, attn_implementation: string
      child 1, device_map: string
      child 2, dtype: string
  child 24, judgement_temperature: double
  child 25, max_examples: null
  child 26, max_images: int64
  child 27, max_tokens: int64
  child 28, model: string
  child 29, model_provider: string
  child 30, modes: list<item: string>
      child 0, item: string
  child 31, output_dir: string
  child 32, prompt: string
  child 33, prompt_id: string
  child 34, prompt_version: string
  child 35, resume: bool
  child 36, runtime: struct<dtype: string, enable_prefix_caching: bool, gpu_memory_utilization: double, kv_cache_dtype: s (... 117 chars omitted)
      child 0, dtype: string
      child 1, enable_prefix_caching: bool
      child 2, gpu_memory_utilization: double
      child 3, kv_cache_dtype: string
      child 4, max_num_batched_tokens: int64
      child 5, max_num_seqs: int64
      child 6, mm_processor_cache_gb: int64
      child 7, tensor_parallel_size: int64
  child 37, seed: int64
  child 38, split_index: string
  child 39, split_name: string
  child 40, start_index: int64
  child 41, temperature: double
  child 42, textual_component_budget: int64
  child 43, textual_interpretations: null
  child 44, thinking: bool
  child 45, visual_component_budget: int64
  child 46, visual_interpretations: null
created_at_utc: string
example_count: int64
mode: string
prompt_sha256: string
collection_id: string
modes: list<item: string>
  child 0, item: string
to
{'collection_id': Value('string'), 'config': {'allow_missing_figure_clues': Value('bool'), 'allow_partial_components': Value('bool'), 'attn_implementation': Value('string'), 'batch_size': Value('int64'), 'clues_dir': Value('string'), 'collection_id': Value('string'), 'config_path': Value('string'), 'dataset': Value('string'), 'device_map': Value('string'), 'dtype': Value('string'), 'end_index': Value('null'), 'extra_metadata': {'managed_settings': {'dataset': Value('string'), 'query_set': Value('string'), 'raw_settings': {'dataset': {'clues_dir': Value('string'), 'name': Value('string'), 'pdf_dir': Value('string'), 'preprocessed': Value('string'), 'processed_root': Value('string'), 'query_output': Value('string'), 'root': Value('string'), 'split_index': Value('string'), 'textual_interpretations': Value('null'), 'visual_interpretations': Value('null')}, 'textual_descriptions': {'generation': {'attn_implementation': Value('string'), 'batch_size': Value('int64'), 'device_map': Value('string'), 'dtype': Value('string'), 'max_markdown_chars': Value('int64'), 'max_tokens': Value('int64'), 'temperature': Value('float64'), 'thinking': Value('bool')}, 'model': {'name': Value('string'), 'provider': Value('string')}, 'name': Value('string'), 'prompt': {'name': Value('string'), 'template': Value('string'), 'variables': List(Value('string')), 'version': Value('string')}, 'runtime': {'transformers': {'attn_implementation': Value('string'), 'device_map': Value('string'), 'dtype': Value('str
...
'judgement_max_tokens': Value('int64'), 'judgement_model': Value('string'), 'judgement_model_provider': Value('string'), 'judgement_prompt': Value('string'), 'judgement_prompt_id': Value('string'), 'judgement_prompt_version': Value('string'), 'judgement_runtime': {'attn_implementation': Value('string'), 'device_map': Value('string'), 'dtype': Value('string')}, 'judgement_temperature': Value('float64'), 'max_examples': Value('null'), 'max_images': Value('int64'), 'max_tokens': Value('int64'), 'model': Value('string'), 'model_provider': Value('string'), 'modes': List(Value('string')), 'output_dir': Value('string'), 'prompt': Value('string'), 'prompt_id': Value('string'), 'prompt_version': Value('string'), 'resume': Value('bool'), 'runtime': {'dtype': Value('string'), 'enable_prefix_caching': Value('bool'), 'gpu_memory_utilization': Value('float64'), 'kv_cache_dtype': Value('string'), 'max_num_batched_tokens': Value('int64'), 'max_num_seqs': Value('int64'), 'mm_processor_cache_gb': Value('int64'), 'tensor_parallel_size': Value('int64')}, 'seed': Value('int64'), 'split_index': Value('string'), 'split_name': Value('string'), 'start_index': Value('int64'), 'temperature': Value('float64'), 'textual_component_budget': Value('int64'), 'textual_interpretations': Value('null'), 'thinking': Value('bool'), 'visual_component_budget': Value('int64'), 'visual_interpretations': Value('null')}, 'created_at_utc': Value('string'), 'modes': List(Value('string')), 'prompt_sha256': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              config: struct<allow_missing_figure_clues: bool, allow_partial_components: bool, attn_implementation: string (... 5209 chars omitted)
                child 0, allow_missing_figure_clues: bool
                child 1, allow_partial_components: bool
                child 2, attn_implementation: string
                child 3, batch_size: int64
                child 4, clues_dir: string
                child 5, collection_id: string
                child 6, config_path: string
                child 7, dataset: string
                child 8, device_map: string
                child 9, dtype: string
                child 10, end_index: null
                child 11, extra_metadata: struct<managed_settings: struct<dataset: string, query_set: string, raw_settings: struct<dataset: st (... 3814 chars omitted)
                    child 0, managed_settings: struct<dataset: string, query_set: string, raw_settings: struct<dataset: struct<clues_dir: string, n (... 3788 chars omitted)
                        child 0, dataset: string
                        child 1, query_set: string
                        child 2, raw_settings: struct<dataset: struct<clues_dir: string, name: string, pdf_dir: string, preprocessed: string, proce (... 3708 chars omitted)
                            child 0, dataset: struct<clues_dir: string, name: string, pdf_dir: string, preprocessed: string, processed_root: strin (... 120 chars omitted)
                                child 0, clues_dir: string
                                child 1, name: string
                                child 2, pdf_dir: string
                                child 3, preprocessed: string
                                child 4, processed_root: string
                                child 5, query_output: string
                                child 6, root: s
              ...
              ing, dtype: string>
                    child 0, attn_implementation: string
                    child 1, device_map: string
                    child 2, dtype: string
                child 24, judgement_temperature: double
                child 25, max_examples: null
                child 26, max_images: int64
                child 27, max_tokens: int64
                child 28, model: string
                child 29, model_provider: string
                child 30, modes: list<item: string>
                    child 0, item: string
                child 31, output_dir: string
                child 32, prompt: string
                child 33, prompt_id: string
                child 34, prompt_version: string
                child 35, resume: bool
                child 36, runtime: struct<dtype: string, enable_prefix_caching: bool, gpu_memory_utilization: double, kv_cache_dtype: s (... 117 chars omitted)
                    child 0, dtype: string
                    child 1, enable_prefix_caching: bool
                    child 2, gpu_memory_utilization: double
                    child 3, kv_cache_dtype: string
                    child 4, max_num_batched_tokens: int64
                    child 5, max_num_seqs: int64
                    child 6, mm_processor_cache_gb: int64
                    child 7, tensor_parallel_size: int64
                child 37, seed: int64
                child 38, split_index: string
                child 39, split_name: string
                child 40, start_index: int64
                child 41, temperature: double
                child 42, textual_component_budget: int64
                child 43, textual_interpretations: null
                child 44, thinking: bool
                child 45, visual_component_budget: int64
                child 46, visual_interpretations: null
              created_at_utc: string
              example_count: int64
              mode: string
              prompt_sha256: string
              collection_id: string
              modes: list<item: string>
                child 0, item: string
              to
              {'collection_id': Value('string'), 'config': {'allow_missing_figure_clues': Value('bool'), 'allow_partial_components': Value('bool'), 'attn_implementation': Value('string'), 'batch_size': Value('int64'), 'clues_dir': Value('string'), 'collection_id': Value('string'), 'config_path': Value('string'), 'dataset': Value('string'), 'device_map': Value('string'), 'dtype': Value('string'), 'end_index': Value('null'), 'extra_metadata': {'managed_settings': {'dataset': Value('string'), 'query_set': Value('string'), 'raw_settings': {'dataset': {'clues_dir': Value('string'), 'name': Value('string'), 'pdf_dir': Value('string'), 'preprocessed': Value('string'), 'processed_root': Value('string'), 'query_output': Value('string'), 'root': Value('string'), 'split_index': Value('string'), 'textual_interpretations': Value('null'), 'visual_interpretations': Value('null')}, 'textual_descriptions': {'generation': {'attn_implementation': Value('string'), 'batch_size': Value('int64'), 'device_map': Value('string'), 'dtype': Value('string'), 'max_markdown_chars': Value('int64'), 'max_tokens': Value('int64'), 'temperature': Value('float64'), 'thinking': Value('bool')}, 'model': {'name': Value('string'), 'provider': Value('string')}, 'name': Value('string'), 'prompt': {'name': Value('string'), 'template': Value('string'), 'variables': List(Value('string')), 'version': Value('string')}, 'runtime': {'transformers': {'attn_implementation': Value('string'), 'device_map': Value('string'), 'dtype': Value('str
              ...
              'judgement_max_tokens': Value('int64'), 'judgement_model': Value('string'), 'judgement_model_provider': Value('string'), 'judgement_prompt': Value('string'), 'judgement_prompt_id': Value('string'), 'judgement_prompt_version': Value('string'), 'judgement_runtime': {'attn_implementation': Value('string'), 'device_map': Value('string'), 'dtype': Value('string')}, 'judgement_temperature': Value('float64'), 'max_examples': Value('null'), 'max_images': Value('int64'), 'max_tokens': Value('int64'), 'model': Value('string'), 'model_provider': Value('string'), 'modes': List(Value('string')), 'output_dir': Value('string'), 'prompt': Value('string'), 'prompt_id': Value('string'), 'prompt_version': Value('string'), 'resume': Value('bool'), 'runtime': {'dtype': Value('string'), 'enable_prefix_caching': Value('bool'), 'gpu_memory_utilization': Value('float64'), 'kv_cache_dtype': Value('string'), 'max_num_batched_tokens': Value('int64'), 'max_num_seqs': Value('int64'), 'mm_processor_cache_gb': Value('int64'), 'tensor_parallel_size': Value('int64')}, 'seed': Value('int64'), 'split_index': Value('string'), 'split_name': Value('string'), 'start_index': Value('int64'), 'temperature': Value('float64'), 'textual_component_budget': Value('int64'), 'textual_interpretations': Value('null'), 'thinking': Value('bool'), 'visual_component_budget': Value('int64'), 'visual_interpretations': Value('null')}, 'created_at_utc': Value('string'), 'modes': List(Value('string')), 'prompt_sha256': Value('string')}
              because column names don't match