Datasets:

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loom-benchmark-gpqa-diamond

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PR 1

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
correct_answer: string
correct_letter: string
gpqa_subset: string
record_id: string
benchmark_id: string
upstream_kind: string
published_at: string
splits: list<item: string>
  child 0, item: string
loom_adapter_version: null
license_spdx: string
tasks: list<item: struct<checksum: string, hf_path: string, instance_id: string, license_spdx: string, spli (... 406 chars omitted)
  child 0, item: struct<checksum: string, hf_path: string, instance_id: string, license_spdx: string, split: string,  (... 394 chars omitted)
      child 0, checksum: string
      child 1, hf_path: string
      child 2, instance_id: string
      child 3, license_spdx: string
      child 4, split: string
      child 5, tags: struct<domain: string, gpqa_subset: string, subdomain: string>
          child 0, domain: string
          child 1, gpqa_subset: string
          child 2, subdomain: string
      child 6, task_config: struct<agent: struct<name: string>, environment: struct<docker_image: string, os: string>, schema_ve (... 193 chars omitted)
          child 0, agent: struct<name: string>
              child 0, name: string
          child 1, environment: struct<docker_image: string, os: string>
              child 0, docker_image: string
              child 1, os: string
          child 2, schema_version: string
          child 3, steps: list<item: struct<artifacts: list<item: string>, name: string>>
              child 0, item: struct<artifacts: list<item: string>, name: string>
                  child 0, artifacts: list<item: string>
                      child 0, item: string
                  child 1, name: string
          child 4, task: struct<id: string, name: string>
              child 0, id: string
              child 1, name: string
          child 5, verifier: struct<args: struct<script_path: string>, name: string>
              child 0, args: struct<script_path: string>
                  child 0, script_path: string
              child 1, name: string
      child 7, task_id: string
series: string
upstream_revision: string
upstream_locator: string
task_count: int64
license_url: string
display_name: string
schema_version: int64
to
{'benchmark_id': Value('string'), 'display_name': Value('string'), 'license_spdx': Value('string'), 'license_url': Value('string'), 'loom_adapter_version': Value('null'), 'published_at': Value('string'), 'schema_version': Value('int64'), 'series': Value('string'), 'splits': List(Value('string')), 'task_count': Value('int64'), 'tasks': List({'checksum': Value('string'), 'hf_path': Value('string'), 'instance_id': Value('string'), 'license_spdx': Value('string'), 'split': Value('string'), 'tags': {'domain': Value('string'), 'gpqa_subset': Value('string'), 'subdomain': Value('string')}, 'task_config': {'agent': {'name': Value('string')}, 'environment': {'docker_image': Value('string'), 'os': Value('string')}, 'schema_version': Value('string'), 'steps': List({'artifacts': List(Value('string')), 'name': Value('string')}), 'task': {'id': Value('string'), 'name': Value('string')}, 'verifier': {'args': {'script_path': Value('string')}, 'name': Value('string')}}, 'task_id': Value('string')}), 'upstream_kind': Value('string'), 'upstream_locator': Value('string'), 'upstream_revision': 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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              correct_answer: string
              correct_letter: string
              gpqa_subset: string
              record_id: string
              benchmark_id: string
              upstream_kind: string
              published_at: string
              splits: list<item: string>
                child 0, item: string
              loom_adapter_version: null
              license_spdx: string
              tasks: list<item: struct<checksum: string, hf_path: string, instance_id: string, license_spdx: string, spli (... 406 chars omitted)
                child 0, item: struct<checksum: string, hf_path: string, instance_id: string, license_spdx: string, split: string,  (... 394 chars omitted)
                    child 0, checksum: string
                    child 1, hf_path: string
                    child 2, instance_id: string
                    child 3, license_spdx: string
                    child 4, split: string
                    child 5, tags: struct<domain: string, gpqa_subset: string, subdomain: string>
                        child 0, domain: string
                        child 1, gpqa_subset: string
                        child 2, subdomain: string
                    child 6, task_config: struct<agent: struct<name: string>, environment: struct<docker_image: string, os: string>, schema_ve (... 193 chars omitted)
                        child 0, agent: struct<name: string>
                            child 0, name: string
                        child 1, environment: struct<docker_image: string, os: string>
                            child 0, docker_image: string
                            child 1, os: string
                        child 2, schema_version: string
                        child 3, steps: list<item: struct<artifacts: list<item: string>, name: string>>
                            child 0, item: struct<artifacts: list<item: string>, name: string>
                                child 0, artifacts: list<item: string>
                                    child 0, item: string
                                child 1, name: string
                        child 4, task: struct<id: string, name: string>
                            child 0, id: string
                            child 1, name: string
                        child 5, verifier: struct<args: struct<script_path: string>, name: string>
                            child 0, args: struct<script_path: string>
                                child 0, script_path: string
                            child 1, name: string
                    child 7, task_id: string
              series: string
              upstream_revision: string
              upstream_locator: string
              task_count: int64
              license_url: string
              display_name: string
              schema_version: int64
              to
              {'benchmark_id': Value('string'), 'display_name': Value('string'), 'license_spdx': Value('string'), 'license_url': Value('string'), 'loom_adapter_version': Value('null'), 'published_at': Value('string'), 'schema_version': Value('int64'), 'series': Value('string'), 'splits': List(Value('string')), 'task_count': Value('int64'), 'tasks': List({'checksum': Value('string'), 'hf_path': Value('string'), 'instance_id': Value('string'), 'license_spdx': Value('string'), 'split': Value('string'), 'tags': {'domain': Value('string'), 'gpqa_subset': Value('string'), 'subdomain': Value('string')}, 'task_config': {'agent': {'name': Value('string')}, 'environment': {'docker_image': Value('string'), 'os': Value('string')}, 'schema_version': Value('string'), 'steps': List({'artifacts': List(Value('string')), 'name': Value('string')}), 'task': {'id': Value('string'), 'name': Value('string')}, 'verifier': {'args': {'script_path': Value('string')}, 'name': Value('string')}}, 'task_id': Value('string')}), 'upstream_kind': Value('string'), 'upstream_locator': Value('string'), 'upstream_revision': Value('string')}
              because column names don't match