Datasets:

---

trytryw

/

topc-frontier-v1

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
files: list<item: struct<bytes: int64, path: string, sha256: string>>
  child 0, item: struct<bytes: int64, path: string, sha256: string>
      child 0, bytes: int64
      child 1, path: string
      child 2, sha256: string
format: int64
initial_model_sha256: string
records: list<item: struct<config_sha256: string, gradient_norm: double, id: string, initial_model_sha256: st (... 1252 chars omitted)
  child 0, item: struct<config_sha256: string, gradient_norm: double, id: string, initial_model_sha256: string, peak_ (... 1240 chars omitted)
      child 0, config_sha256: string
      child 1, gradient_norm: double
      child 2, id: string
      child 3, initial_model_sha256: string
      child 4, peak_memory_bytes: int64
      child 5, provenance: struct<attention: struct<alpha: double, name: string, package: struct<commit: string, name: string,  (... 1086 chars omitted)
          child 0, attention: struct<alpha: double, name: string, package: struct<commit: string, name: string, version: string>,  (... 85 chars omitted)
              child 0, alpha: double
              child 1, name: string
              child 2, package: struct<commit: string, name: string, version: string>
                  child 0, commit: string
                  child 1, name: string
                  child 2, version: string
              child 3, score_multiplier: double
              child 4, score_scaling: string
              child 5, top_c: int64
              child 6, normalization: string
      
...
st<item: int64>
                          child 0, item: int64
                      child 1, device: string
                      child 2, global_rank: int64
                      child 3, local_rank: int64
                      child 4, name: string
                      child 5, total_memory_bytes: int64
                      child 6, uuid: string
          child 3, repository: struct<commit: string, dirty: bool, training_source_sha256: string>
              child 0, commit: string
              child 1, dirty: bool
              child 2, training_source_sha256: string
          child 4, runtime: struct<distributed_type: string, mixed_precision: string, num_processes: int64, parameter_dtype: str (... 37 chars omitted)
              child 0, distributed_type: string
              child 1, mixed_precision: string
              child 2, num_processes: int64
              child 3, parameter_dtype: string
              child 4, timing_warmup_iterations: int64
          child 5, software: struct<accelerate: string, cuda_driver: string, cuda_runtime: string, dependency_lock_sha256: string (... 72 chars omitted)
              child 0, accelerate: string
              child 1, cuda_driver: string
              child 2, cuda_runtime: string
              child 3, dependency_lock_sha256: string
              child 4, platform: string
              child 5, python: string
              child 6, torch: string
              child 7, transformers: string
      child 6, train_loss: double
to
{'format': Value('int64'), 'initial_model_sha256': Value('string'), 'records': List({'config_sha256': Value('string'), 'gradient_norm': Value('float64'), 'id': Value('string'), 'initial_model_sha256': Value('string'), 'peak_memory_bytes': Value('int64'), 'provenance': {'attention': {'alpha': Value('float64'), 'name': Value('string'), 'package': {'commit': Value('string'), 'name': Value('string'), 'version': Value('string')}, 'score_multiplier': Value('float64'), 'score_scaling': Value('string'), 'top_c': Value('int64'), 'normalization': Value('string')}, 'dataset': {'config': Value('string'), 'id': Value('string'), 'local_manifest_sha256': Value('string'), 'manifest_sha256': Value('string'), 'revision': Value('string'), 'source_id': Value('string'), 'source_revision': Value('string'), 'splits': {'train': {'fingerprint': Value('string'), 'rows': Value('int64')}, 'validation': {'fingerprint': Value('string'), 'rows': Value('int64')}}, 'tokenizer_id': Value('string'), 'tokenizer_revision': Value('string')}, 'hardware': {'device_type': Value('string'), 'hostname': Value('string'), 'processes': List({'compute_capability': List(Value('int64')), 'device': Value('string'), 'global_rank': Value('int64'), 'local_rank': Value('int64'), 'name': Value('string'), 'total_memory_bytes': Value('int64'), 'uuid': Value('string')})}, 'repository': {'commit': Value('string'), 'dirty': Value('bool'), 'training_source_sha256': Value('string')}, 'runtime': {'distributed_type': Value('string'), 'mixed_precision': Value('string'), 'num_processes': Value('int64'), 'parameter_dtype': Value('string'), 'timing_warmup_iterations': Value('int64')}, 'software': {'accelerate': Value('string'), 'cuda_driver': Value('string'), 'cuda_runtime': Value('string'), 'dependency_lock_sha256': Value('string'), 'platform': Value('string'), 'python': Value('string'), 'torch': Value('string'), 'transformers': Value('string')}}, 'train_loss': Value('float64')})}
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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 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
              files: list<item: struct<bytes: int64, path: string, sha256: string>>
                child 0, item: struct<bytes: int64, path: string, sha256: string>
                    child 0, bytes: int64
                    child 1, path: string
                    child 2, sha256: string
              format: int64
              initial_model_sha256: string
              records: list<item: struct<config_sha256: string, gradient_norm: double, id: string, initial_model_sha256: st (... 1252 chars omitted)
                child 0, item: struct<config_sha256: string, gradient_norm: double, id: string, initial_model_sha256: string, peak_ (... 1240 chars omitted)
                    child 0, config_sha256: string
                    child 1, gradient_norm: double
                    child 2, id: string
                    child 3, initial_model_sha256: string
                    child 4, peak_memory_bytes: int64
                    child 5, provenance: struct<attention: struct<alpha: double, name: string, package: struct<commit: string, name: string,  (... 1086 chars omitted)
                        child 0, attention: struct<alpha: double, name: string, package: struct<commit: string, name: string, version: string>,  (... 85 chars omitted)
                            child 0, alpha: double
                            child 1, name: string
                            child 2, package: struct<commit: string, name: string, version: string>
                                child 0, commit: string
                                child 1, name: string
                                child 2, version: string
                            child 3, score_multiplier: double
                            child 4, score_scaling: string
                            child 5, top_c: int64
                            child 6, normalization: string
                    
              ...
              st<item: int64>
                                        child 0, item: int64
                                    child 1, device: string
                                    child 2, global_rank: int64
                                    child 3, local_rank: int64
                                    child 4, name: string
                                    child 5, total_memory_bytes: int64
                                    child 6, uuid: string
                        child 3, repository: struct<commit: string, dirty: bool, training_source_sha256: string>
                            child 0, commit: string
                            child 1, dirty: bool
                            child 2, training_source_sha256: string
                        child 4, runtime: struct<distributed_type: string, mixed_precision: string, num_processes: int64, parameter_dtype: str (... 37 chars omitted)
                            child 0, distributed_type: string
                            child 1, mixed_precision: string
                            child 2, num_processes: int64
                            child 3, parameter_dtype: string
                            child 4, timing_warmup_iterations: int64
                        child 5, software: struct<accelerate: string, cuda_driver: string, cuda_runtime: string, dependency_lock_sha256: string (... 72 chars omitted)
                            child 0, accelerate: string
                            child 1, cuda_driver: string
                            child 2, cuda_runtime: string
                            child 3, dependency_lock_sha256: string
                            child 4, platform: string
                            child 5, python: string
                            child 6, torch: string
                            child 7, transformers: string
                    child 6, train_loss: double
              to
              {'format': Value('int64'), 'initial_model_sha256': Value('string'), 'records': List({'config_sha256': Value('string'), 'gradient_norm': Value('float64'), 'id': Value('string'), 'initial_model_sha256': Value('string'), 'peak_memory_bytes': Value('int64'), 'provenance': {'attention': {'alpha': Value('float64'), 'name': Value('string'), 'package': {'commit': Value('string'), 'name': Value('string'), 'version': Value('string')}, 'score_multiplier': Value('float64'), 'score_scaling': Value('string'), 'top_c': Value('int64'), 'normalization': Value('string')}, 'dataset': {'config': Value('string'), 'id': Value('string'), 'local_manifest_sha256': Value('string'), 'manifest_sha256': Value('string'), 'revision': Value('string'), 'source_id': Value('string'), 'source_revision': Value('string'), 'splits': {'train': {'fingerprint': Value('string'), 'rows': Value('int64')}, 'validation': {'fingerprint': Value('string'), 'rows': Value('int64')}}, 'tokenizer_id': Value('string'), 'tokenizer_revision': Value('string')}, 'hardware': {'device_type': Value('string'), 'hostname': Value('string'), 'processes': List({'compute_capability': List(Value('int64')), 'device': Value('string'), 'global_rank': Value('int64'), 'local_rank': Value('int64'), 'name': Value('string'), 'total_memory_bytes': Value('int64'), 'uuid': Value('string')})}, 'repository': {'commit': Value('string'), 'dirty': Value('bool'), 'training_source_sha256': Value('string')}, 'runtime': {'distributed_type': Value('string'), 'mixed_precision': Value('string'), 'num_processes': Value('int64'), 'parameter_dtype': Value('string'), 'timing_warmup_iterations': Value('int64')}, 'software': {'accelerate': Value('string'), 'cuda_driver': Value('string'), 'cuda_runtime': Value('string'), 'dependency_lock_sha256': Value('string'), 'platform': Value('string'), 'python': Value('string'), 'torch': Value('string'), 'transformers': Value('string')}}, 'train_loss': Value('float64')})}
              because column names don't match