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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema_version: int64
experiment_id: string
status: string
scope: string
verification: string
reviewed_at: string
source_report: string
source_report_sha256: string
job_url: string
config: struct<run_id: string, experiment_id: string, environment_id: string, package_repo: string, package_ (... 261 chars omitted)
  child 0, run_id: string
  child 1, experiment_id: string
  child 2, environment_id: string
  child 3, package_repo: string
  child 4, package_revision: string
  child 5, environment_path: string
  child 6, model: string
  child 7, model_revision: string
  child 8, steps: int64
  child 9, rate: double
  child 10, rank: int64
  child 11, seed: int64
  child 12, max_new_tokens: int64
  child 13, sandbox_image: string
  child 14, sandbox_image_digest: string
  child 15, sandbox_image_revision: string
  child 16, profile: string
decoding: struct<do_sample: bool, max_new_tokens: int64>
  child 0, do_sample: bool
  child 1, max_new_tokens: int64
source_file_sha256: struct<task.md: string, environment/Dockerfile: string, environment/instance.json: string, environme (... 172 chars omitted)
  child 0, task.md: string
  child 1, environment/Dockerfile: string
  child 2, environment/instance.json: string
  child 3, environment/broken_schedule.json: string
  child 4, oracle/solve.sh: string
  child 5, verifier/test_outputs.py: string
  child 6, verifier/data/instance.json: string
  child 7, verifier/data/broken_schedule.json: string
global_steps: int64
training_loss: double
adap
...
ted)
      child 0, id: string
      child 1, title: string
      child 2, owner: string
      child 3, agent_id: string
      child 4, compare_group: string
      child 5, created_at: string
      child 6, config: struct<environment_id: string, environment_revision: string, model: struct<repo_id: string, revision (... 157 chars omitted)
          child 0, environment_id: string
          child 1, environment_revision: string
          child 2, model: struct<repo_id: string, revision: string>
              child 0, repo_id: string
              child 1, revision: string
          child 3, evaluation_data: struct<repo_id: string, revision: string, path: string, split: string>
              child 0, repo_id: string
              child 1, revision: string
              child 2, path: string
              child 3, split: string
          child 4, method: string
          child 5, metric: string
          child 6, evaluation_scope: string
      child 7, result: struct<verification: string, reviewed_at: string, payload: struct<baseline: double, score: double, r (... 57 chars omitted)
          child 0, verification: string
          child 1, reviewed_at: string
          child 2, payload: struct<baseline: double, score: double, report_url: string, job_url: string, adapter_url: string>
              child 0, baseline: double
              child 1, score: double
              child 2, report_url: string
              child 3, job_url: string
              child 4, adapter_url: string
to
{'schema_version': Value('int64'), 'generated_at': Value('string'), 'experiments': List({'id': Value('string'), 'title': Value('string'), 'owner': Value('string'), 'agent_id': Value('string'), 'compare_group': Value('string'), 'created_at': Value('string'), 'config': {'environment_id': Value('string'), 'environment_revision': Value('string'), 'model': {'repo_id': Value('string'), 'revision': Value('string')}, 'evaluation_data': {'repo_id': Value('string'), 'revision': Value('string'), 'path': Value('string'), 'split': Value('string')}, 'method': Value('string'), 'metric': Value('string'), 'evaluation_scope': Value('string')}, 'result': {'verification': Value('string'), 'reviewed_at': Value('string'), 'payload': {'baseline': Value('float64'), 'score': Value('float64'), 'report_url': Value('string'), 'job_url': Value('string'), 'adapter_url': 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 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
              schema_version: int64
              experiment_id: string
              status: string
              scope: string
              verification: string
              reviewed_at: string
              source_report: string
              source_report_sha256: string
              job_url: string
              config: struct<run_id: string, experiment_id: string, environment_id: string, package_repo: string, package_ (... 261 chars omitted)
                child 0, run_id: string
                child 1, experiment_id: string
                child 2, environment_id: string
                child 3, package_repo: string
                child 4, package_revision: string
                child 5, environment_path: string
                child 6, model: string
                child 7, model_revision: string
                child 8, steps: int64
                child 9, rate: double
                child 10, rank: int64
                child 11, seed: int64
                child 12, max_new_tokens: int64
                child 13, sandbox_image: string
                child 14, sandbox_image_digest: string
                child 15, sandbox_image_revision: string
                child 16, profile: string
              decoding: struct<do_sample: bool, max_new_tokens: int64>
                child 0, do_sample: bool
                child 1, max_new_tokens: int64
              source_file_sha256: struct<task.md: string, environment/Dockerfile: string, environment/instance.json: string, environme (... 172 chars omitted)
                child 0, task.md: string
                child 1, environment/Dockerfile: string
                child 2, environment/instance.json: string
                child 3, environment/broken_schedule.json: string
                child 4, oracle/solve.sh: string
                child 5, verifier/test_outputs.py: string
                child 6, verifier/data/instance.json: string
                child 7, verifier/data/broken_schedule.json: string
              global_steps: int64
              training_loss: double
              adap
              ...
              ted)
                    child 0, id: string
                    child 1, title: string
                    child 2, owner: string
                    child 3, agent_id: string
                    child 4, compare_group: string
                    child 5, created_at: string
                    child 6, config: struct<environment_id: string, environment_revision: string, model: struct<repo_id: string, revision (... 157 chars omitted)
                        child 0, environment_id: string
                        child 1, environment_revision: string
                        child 2, model: struct<repo_id: string, revision: string>
                            child 0, repo_id: string
                            child 1, revision: string
                        child 3, evaluation_data: struct<repo_id: string, revision: string, path: string, split: string>
                            child 0, repo_id: string
                            child 1, revision: string
                            child 2, path: string
                            child 3, split: string
                        child 4, method: string
                        child 5, metric: string
                        child 6, evaluation_scope: string
                    child 7, result: struct<verification: string, reviewed_at: string, payload: struct<baseline: double, score: double, r (... 57 chars omitted)
                        child 0, verification: string
                        child 1, reviewed_at: string
                        child 2, payload: struct<baseline: double, score: double, report_url: string, job_url: string, adapter_url: string>
                            child 0, baseline: double
                            child 1, score: double
                            child 2, report_url: string
                            child 3, job_url: string
                            child 4, adapter_url: string
              to
              {'schema_version': Value('int64'), 'generated_at': Value('string'), 'experiments': List({'id': Value('string'), 'title': Value('string'), 'owner': Value('string'), 'agent_id': Value('string'), 'compare_group': Value('string'), 'created_at': Value('string'), 'config': {'environment_id': Value('string'), 'environment_revision': Value('string'), 'model': {'repo_id': Value('string'), 'revision': Value('string')}, 'evaluation_data': {'repo_id': Value('string'), 'revision': Value('string'), 'path': Value('string'), 'split': Value('string')}, 'method': Value('string'), 'metric': Value('string'), 'evaluation_scope': Value('string')}, 'result': {'verification': Value('string'), 'reviewed_at': Value('string'), 'payload': {'baseline': Value('float64'), 'score': Value('float64'), 'report_url': Value('string'), 'job_url': Value('string'), 'adapter_url': Value('string')}}})}
              because column names don't match

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PostTrain Arena reviewed results

Public metadata for explicitly published, organizer-reviewed experiments. The headless arena writes leaderboard.json; posttrain.com reads it server-side. Only results with verification: valid appear. Comparison groups pin the environment, model, evaluation data and metric. Seen-task practice is not held-out evaluation. The feed contains no credentials, training examples, private logs or board messages. Linked HF Jobs and detailed artifacts may require collaborator access.

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