Dataset Viewer
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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
artifact_url: string
baseline_score: double
benchmark_scores: list<item: struct<baseline_score: double, delta_score: double, final_score: double, name: string, repo_id: string, revision: string, task_count: int64, task_ids: list<item: string>, weight: double>>
delta_score: double
eval_task_count: int64
final_model: string
grpo_ran: bool
macro_benchmark_delta: double
model: string
model_revision: string
model_url: string
run_id: string
schema_version: int64
score_after_posttrain: double
status: string
submission_id: string
team_name: string
train_task_count: int64
updated_at: string
error: string
vs
artifact_url: null
baseline_score: double
benchmark_scores: list<item: null>
delta_score: double
error: string
eval_task_count: int64
final_model: string
grpo_ran: bool
job_id: null
macro_benchmark_delta: null
model: string
model_revision: string
model_url: null
run_id: string
schema_version: int64
score_after_posttrain: double
status: string
submission_id: string
team_name: string
train_task_count: int64
updated_at: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4379, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 564, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              artifact_url: string
              baseline_score: double
              benchmark_scores: list<item: struct<baseline_score: double, delta_score: double, final_score: double, name: string, repo_id: string, revision: string, task_count: int64, task_ids: list<item: string>, weight: double>>
              delta_score: double
              eval_task_count: int64
              final_model: string
              grpo_ran: bool
              macro_benchmark_delta: double
              model: string
              model_revision: string
              model_url: string
              run_id: string
              schema_version: int64
              score_after_posttrain: double
              status: string
              submission_id: string
              team_name: string
              train_task_count: int64
              updated_at: string
              error: string
              vs
              artifact_url: null
              baseline_score: double
              benchmark_scores: list<item: null>
              delta_score: double
              error: string
              eval_task_count: int64
              final_model: string
              grpo_ran: bool
              job_id: null
              macro_benchmark_delta: null
              model: string
              model_revision: string
              model_url: null
              run_id: string
              schema_version: int64
              score_after_posttrain: double
              status: string
              submission_id: string
              team_name: string
              train_task_count: int64
              updated_at: string

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