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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
id: string
owner: string
stage: string
status.json: struct<arm: string, phase: string, started_at: double, passed: bool, finished_at: double>
  child 0, arm: string
  child 1, phase: string
  child 2, started_at: double
  child 3, passed: bool
  child 4, finished_at: double
services.json: struct<job_id: string, public_vllm: string, server: string, space: string, tp: int64, dp: int64, fla (... 12 chars omitted)
  child 0, job_id: string
  child 1, public_vllm: string
  child 2, server: string
  child 3, space: string
  child 4, tp: int64
  child 5, dp: int64
  child 6, flavor: string
training_smoke_verified.json: struct<arm: string, passed: bool, bundle_sha256: string, optimizer_steps: list<item: int64>, native_ (... 135 chars omitted)
  child 0, arm: string
  child 1, passed: bool
  child 2, bundle_sha256: string
  child 3, optimizer_steps: list<item: int64>
      child 0, item: int64
  child 4, native_optimizer_state_verified: bool
  child 5, remote_restore_verified: bool
  child 6, tito_pass: bool
  child 7, weights_updated: bool
  child 8, nonzero_gradient_updates: int64
trackio_verified.json: struct<passed: bool, project: string, run: string, local_database: string, mode: string, remote_stor (... 84 chars omitted)
  child 0, passed: bool
  child 1, project: string
  child 2, run: string
  child 3, local_database: string
  child 4, mode: string
  child 5, remote_storage: string
  child 6, native_remote_readback: bool
  child 7, updated_at: double
  child 8, unique_events: int64
upload_status.json: struct<last_success: double, destination: string, published_checkpoints: list<item: string>>
  child 0, last_success: double
  child 1, destination: string
  child 2, published_checkpoints: list<item: string>
      child 0, item: string
qualifies_long_run: bool
posthoc_capture_audit: struct<blackbox: struct<completed_results: int64, tito_pass: int64, eligible_tokens: int64, retained (... 83 chars omitted)
  child 0, blackbox: struct<completed_results: int64, tito_pass: int64, eligible_tokens: int64, retained_tokens: int64, r (... 65 chars omitted)
      child 0, completed_results: int64
      child 1, tito_pass: int64
      child 2, eligible_tokens: int64
      child 3, retained_tokens: int64
      child 4, rows_over_token_budget: int64
      child 5, optimizer_rollouts_verified: int64
optimizer_updates: list<item: struct<step: int64, grad_norm: double>>
  child 0, item: struct<step: int64, grad_norm: double>
      child 0, step: int64
      child 1, grad_norm: double
failure: string
to
{'id': Value('string'), 'owner': Value('string'), 'stage': Value('string'), 'status.json': {'arm': Value('string'), 'phase': Value('string'), 'started_at': Value('float64'), 'passed': Value('bool'), 'error_type': Value('string'), 'finished_at': Value('float64')}, 'services.json': {'job_id': Value('string'), 'public_vllm': Value('string'), 'server': Value('string'), 'space': Value('string'), 'tp': Value('int64'), 'dp': Value('int64'), 'flavor': Value('string')}, 'trackio_verified.json': {'passed': Value('bool'), 'project': Value('string'), 'run': Value('string'), 'local_database': Value('string'), 'mode': Value('string'), 'remote_storage': Value('string'), 'native_remote_readback': Value('bool'), 'updated_at': Value('float64'), 'unique_events': Value('int64')}, 'upload_status.json': {'last_success': Value('float64'), 'destination': Value('string'), 'published_checkpoints': List(Value('string'))}, 'failure': Value('string'), 'posthoc_capture_audit': {'blackbox': {'completed_results': Value('int64'), 'tito_pass': Value('int64'), 'eligible_tokens': Value('int64'), 'retained_tokens': Value('int64'), 'rows_over_token_budget': Value('int64'), 'optimizer_rollouts_verified': Value('int64')}}, 'optimizer_updates': List({'step': Value('int64'), 'grad_norm': Value('float64')}), 'qualifies_long_run': Value('bool')}
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
              id: string
              owner: string
              stage: string
              status.json: struct<arm: string, phase: string, started_at: double, passed: bool, finished_at: double>
                child 0, arm: string
                child 1, phase: string
                child 2, started_at: double
                child 3, passed: bool
                child 4, finished_at: double
              services.json: struct<job_id: string, public_vllm: string, server: string, space: string, tp: int64, dp: int64, fla (... 12 chars omitted)
                child 0, job_id: string
                child 1, public_vllm: string
                child 2, server: string
                child 3, space: string
                child 4, tp: int64
                child 5, dp: int64
                child 6, flavor: string
              training_smoke_verified.json: struct<arm: string, passed: bool, bundle_sha256: string, optimizer_steps: list<item: int64>, native_ (... 135 chars omitted)
                child 0, arm: string
                child 1, passed: bool
                child 2, bundle_sha256: string
                child 3, optimizer_steps: list<item: int64>
                    child 0, item: int64
                child 4, native_optimizer_state_verified: bool
                child 5, remote_restore_verified: bool
                child 6, tito_pass: bool
                child 7, weights_updated: bool
                child 8, nonzero_gradient_updates: int64
              trackio_verified.json: struct<passed: bool, project: string, run: string, local_database: string, mode: string, remote_stor (... 84 chars omitted)
                child 0, passed: bool
                child 1, project: string
                child 2, run: string
                child 3, local_database: string
                child 4, mode: string
                child 5, remote_storage: string
                child 6, native_remote_readback: bool
                child 7, updated_at: double
                child 8, unique_events: int64
              upload_status.json: struct<last_success: double, destination: string, published_checkpoints: list<item: string>>
                child 0, last_success: double
                child 1, destination: string
                child 2, published_checkpoints: list<item: string>
                    child 0, item: string
              qualifies_long_run: bool
              posthoc_capture_audit: struct<blackbox: struct<completed_results: int64, tito_pass: int64, eligible_tokens: int64, retained (... 83 chars omitted)
                child 0, blackbox: struct<completed_results: int64, tito_pass: int64, eligible_tokens: int64, retained_tokens: int64, r (... 65 chars omitted)
                    child 0, completed_results: int64
                    child 1, tito_pass: int64
                    child 2, eligible_tokens: int64
                    child 3, retained_tokens: int64
                    child 4, rows_over_token_budget: int64
                    child 5, optimizer_rollouts_verified: int64
              optimizer_updates: list<item: struct<step: int64, grad_norm: double>>
                child 0, item: struct<step: int64, grad_norm: double>
                    child 0, step: int64
                    child 1, grad_norm: double
              failure: string
              to
              {'id': Value('string'), 'owner': Value('string'), 'stage': Value('string'), 'status.json': {'arm': Value('string'), 'phase': Value('string'), 'started_at': Value('float64'), 'passed': Value('bool'), 'error_type': Value('string'), 'finished_at': Value('float64')}, 'services.json': {'job_id': Value('string'), 'public_vllm': Value('string'), 'server': Value('string'), 'space': Value('string'), 'tp': Value('int64'), 'dp': Value('int64'), 'flavor': Value('string')}, 'trackio_verified.json': {'passed': Value('bool'), 'project': Value('string'), 'run': Value('string'), 'local_database': Value('string'), 'mode': Value('string'), 'remote_storage': Value('string'), 'native_remote_readback': Value('bool'), 'updated_at': Value('float64'), 'unique_events': Value('int64')}, 'upload_status.json': {'last_success': Value('float64'), 'destination': Value('string'), 'published_checkpoints': List(Value('string'))}, 'failure': Value('string'), 'posthoc_capture_audit': {'blackbox': {'completed_results': Value('int64'), 'tito_pass': Value('int64'), 'eligible_tokens': Value('int64'), 'retained_tokens': Value('int64'), 'rows_over_token_budget': Value('int64'), 'optimizer_rollouts_verified': Value('int64')}}, 'optimizer_updates': List({'step': Value('int64'), 'grad_norm': Value('float64')}), 'qualifies_long_run': Value('bool')}
              because column names don't match

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Data Agent: public artifact index

Qwen3.5-2B training with Harbor multi-harness, native OpenCode, Harbor OpenCode-only and SETA. This is a frozen report release from September 16, 2026. The live Trackio dashboard continues updating.

Latest update

September 16, 19:49 UTC: live eval progress and failure diagnosis. Includes recovery jobs, transport failures, and the measured OpenCode output-truncation regression.

Earlier evaluation plot and GPU allocation update.

Code and reproduction

Component PR Code
OpenEnv × Harbor OpenEnv #1036 harbor-integration
TRL AsyncGRPO TRL #6947 async-grpo-harbor-example
Data Agent environments and recipes HuggingEnvs #7 04-data-agent

Public environments and dashboards

Service Space App
Harbor blackbox Repository Open
Native OpenCode blackbox Repository Open
SETA whitebox Repository Open
Consolidated Trackio Repository Open
Original Trackio Repository Open

Trackio's consolidated project is qwen35-2b-harbor-vs-opencode-20260916. It contains training, checkpoint pass@1, harness, difficulty and throughput metrics for the three async configurations. SETA's final result is linked below.

Results and figures

Checkpoint comparison

Async checkpoint evaluations use 250 fixed tasks × four harnesses × pass@1. SETA uses its native 250-task protocol. Baselines and protocols are labelled separately; their scores are not interchangeable. Incomplete evaluations are excluded from checkpoint curves. This is an observational comparison with documented infrastructure/recipe differences.

Datasets, bundles and checkpoints

The public artifact bucket mirrors the existing remote run archive. Native OpenCode checkpoints are under 20260915-hf/jobs/local-train-opencode-80626/run/; SETA's final checkpoint is 20260915-hf/jobs/train-whitebox-1789507273/run/checkpoint-150/. Qualification checkpoints are under data-agent-reproduction-20260916/jobs/. Local-only Harbor checkpoint directories are not uploaded by this visibility release; their training/evaluation metrics are included in the reports.

Credential-bearing traces have redacted public derivatives, and private sandbox session/cache files are omitted. Original raw evidence is preserved unchanged in private storage. The bucket's publication/redaction-manifest.json lists every affected path. Redacted captures cannot be used for exact-token replay or TiTO qualification.

Qualification and history

The frozen qualification reports contain local provenance paths. Those paths identify retained originals; they are not public download URLs.

Job provenance

HF Jobs console pages may require organization access. Public logs/checkpoints are in the artifact bucket above.

Run Job
SETA trainer, stopped after checkpoint 150 6aa9b6c9f76d6a098a70e786
SETA checkpoint-150 eval 6aaa7488f76d6a098a710836
Harbor GPU qualification 6aaa8a06f76d6a098a710a5e
Native OpenCode GPU qualification 6aaa7b875527934177ee9d15
SETA GPU qualification 6aaa7f915527934177ee9da4
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