The dataset viewer is not available for this split.
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 matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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 |
- Reproduce locally or with HF Jobs/Spaces
- Training scripts · Evaluation scripts · HF Jobs/Spaces runtime · vLLM serving
- Native OpenCode · SETA whitebox · Harbor service
- Exact source/model/task pins · Dependency locks
- TRL rollout-weighting issue #7206
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 × harness × difficulty report
- Score CSV · Metrics/provenance JSON · Dashboard event export
- PNG · SVG · PDF
- SETA final checkpoint-150 receipt
- Validation report · Smoke evidence
- Snapshot file hashes and capture time · Publication/access verification
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
- Pinned base model
- Training dataset
- Pinned test source
- Frozen task/runtime reproduction bundle
- Public run artifacts and checkpoints
- Consolidated Trackio storage
- Earlier per-run Trackio storage
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
- Provider/TiTO qualification guide
- 29-adapter report · Evidence matrix · Completion audit
- Qualification handoff
- Experiment timeline
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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