Datasets:

---

WJO

/

rag-contest-colab-runtime

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema: string
run_id: string
created_at: string
builder: struct<colab_hardware: string, gpu: string, compute_capability: list<item: int64>, python: string, p (... 83 chars omitted)
  child 0, colab_hardware: string
  child 1, gpu: string
  child 2, compute_capability: list<item: int64>
      child 0, item: int64
  child 3, python: string
  child 4, platform: string
  child 5, base_torch: string
  child 6, base_cuda: string
  child 7, baseline_pip_check: string
target: struct<gpu: string, compute_capability: list<item: int64>, python_major_minor: list<item: int64>, to (... 27 chars omitted)
  child 0, gpu: string
  child 1, compute_capability: list<item: int64>
      child 0, item: int64
  child 2, python_major_minor: list<item: int64>
      child 0, item: int64
  child 3, torch_cuda_arch_list: string
runtime: struct<torch: string, torch_cuda: string, vllm: string, vllm_file: string, xgrammar: string>
  child 0, torch: string
  child 1, torch_cuda: string
  child 2, vllm: string
  child 3, vllm_file: string
  child 4, xgrammar: string
install_command: list<item: string>
  child 0, item: string
archive: string
wall_seconds: double
archive_bytes: int64
builder_gpu: string
status: string
repo_type: string
repo_id: string
remote_prefix: string
archive_sha256: string
full_readback_sha256: string
upload_commit: string
builder_compute_capability: list<item: int64>
  child 0, item: int64
to
{'status': Value('string'), 'run_id': Value('string'), 'repo_id': Value('string'), 'repo_type': Value('string'), 'remote_prefix': Value('string'), 'upload_commit': Value('string'), 'archive': Value('string'), 'archive_bytes': Value('int64'), 'archive_sha256': Value('string'), 'full_readback_sha256': Value('string'), 'builder_gpu': Value('string'), 'builder_compute_capability': List(Value('int64')), 'runtime': {'torch': Value('string'), 'torch_cuda': Value('string'), 'vllm': Value('string'), 'vllm_file': Value('string'), 'xgrammar': Value('string')}, 'wall_seconds': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
              schema: string
              run_id: string
              created_at: string
              builder: struct<colab_hardware: string, gpu: string, compute_capability: list<item: int64>, python: string, p (... 83 chars omitted)
                child 0, colab_hardware: string
                child 1, gpu: string
                child 2, compute_capability: list<item: int64>
                    child 0, item: int64
                child 3, python: string
                child 4, platform: string
                child 5, base_torch: string
                child 6, base_cuda: string
                child 7, baseline_pip_check: string
              target: struct<gpu: string, compute_capability: list<item: int64>, python_major_minor: list<item: int64>, to (... 27 chars omitted)
                child 0, gpu: string
                child 1, compute_capability: list<item: int64>
                    child 0, item: int64
                child 2, python_major_minor: list<item: int64>
                    child 0, item: int64
                child 3, torch_cuda_arch_list: string
              runtime: struct<torch: string, torch_cuda: string, vllm: string, vllm_file: string, xgrammar: string>
                child 0, torch: string
                child 1, torch_cuda: string
                child 2, vllm: string
                child 3, vllm_file: string
                child 4, xgrammar: string
              install_command: list<item: string>
                child 0, item: string
              archive: string
              wall_seconds: double
              archive_bytes: int64
              builder_gpu: string
              status: string
              repo_type: string
              repo_id: string
              remote_prefix: string
              archive_sha256: string
              full_readback_sha256: string
              upload_commit: string
              builder_compute_capability: list<item: int64>
                child 0, item: int64
              to
              {'status': Value('string'), 'run_id': Value('string'), 'repo_id': Value('string'), 'repo_type': Value('string'), 'remote_prefix': Value('string'), 'upload_commit': Value('string'), 'archive': Value('string'), 'archive_bytes': Value('int64'), 'archive_sha256': Value('string'), 'full_readback_sha256': Value('string'), 'builder_gpu': Value('string'), 'builder_compute_capability': List(Value('int64')), 'runtime': {'torch': Value('string'), 'torch_cuda': Value('string'), 'vllm': Value('string'), 'vllm_file': Value('string'), 'xgrammar': Value('string')}, 'wall_seconds': Value('float64')}
              because column names don't match