Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
artifact_revision: string
destination: string
error: string
job_id: string
kind: string
schema: string
source: string
status: string
validated_at: string
source_job_result_note: string
validated_raw_summary_sha256: string
verified_at: string
source_summary: struct<checkpoint_count_expected: int64, checkpoint_results: list<item: struct<artifact_revision: st (... 1197 chars omitted)
child 0, checkpoint_count_expected: int64
child 1, checkpoint_results: list<item: struct<artifact_revision: string, cache_id: string, destination: string, expected_bytes: (... 193 chars omitted)
child 0, item: struct<artifact_revision: string, cache_id: string, destination: string, expected_bytes: int64, expe (... 181 chars omitted)
child 0, artifact_revision: string
child 1, cache_id: string
child 2, destination: string
child 3, expected_bytes: int64
child 4, expected_sha256: string
child 5, job_id: string
child 6, kind: string
child 7, observed_bytes: int64
child 8, observed_sha256: string
child 9, source: string
child 10, state_tensor_elements: int64
child 11, status: string
child 12, tensor_count: int64
child 2, ephemeral_work_removed: bool
child 3, errors: list<item: struct<error: string, job_id: string, kind: string>>
child 0, item: struct<error: string, job_id: string, kind: string>
child 0, error: string
child 1, job_id: st
...
int64, fit_receipt: int64, prediction_array: int64, prediction_metadata: int64>
child 0, checkpoint: int64
child 1, fit_receipt: int64
child 2, prediction_array: int64
child 3, prediction_metadata: int64
child 6, manifest_revision: string
child 7, manifest_sha256: string
child 8, manifest_url: string
child 9, pod_mutation: bool
child 10, prediction_array_count_expected: int64
child 11, prediction_array_results: list<item: null>
child 0, item: null
child 12, private_bucket_mutation: bool
child 13, receipt_commits: list<item: null>
child 0, item: null
child 14, receipt_upload_errors: list<item: struct<count: int64, error: string, label: string>>
child 0, item: struct<count: int64, error: string, label: string>
child 0, count: int64
child 1, error: string
child 2, label: string
child 15, repo_id: string
child 16, schema: string
child 17, scoring_started: bool
child 18, started_at: string
child 19, status: string
child 20, summary_bytes: int64
child 21, summary_sha256: string
child 22, summary_upload_error: string
child 23, training_started: bool
child 24, validation_root: string
child 25, verified_checkpoint_bytes: int64
child 26, verified_checkpoint_count: int64
child 27, verified_prediction_array_bytes: int64
child 28, verified_prediction_array_count: int64
checkpoint_count: int64
checkpoint_bytes: int64
validator_script_sha256: string
validation_job_id: string
to
{'schema': Value('string'), 'status': Value('string'), 'verified_at': Value('string'), 'checkpoint_count': Value('int64'), 'checkpoint_bytes': Value('int64'), 'validation_job_id': Value('string'), 'validator_script_sha256': Value('string'), 'validated_raw_summary_sha256': Value('string'), 'source_job_result_note': Value('string'), 'source_summary': {'checkpoint_count_expected': Value('int64'), 'checkpoint_results': List({'artifact_revision': Value('string'), 'cache_id': Value('string'), 'destination': Value('string'), 'expected_bytes': Value('int64'), 'expected_sha256': Value('string'), 'job_id': Value('string'), 'kind': Value('string'), 'observed_bytes': Value('int64'), 'observed_sha256': Value('string'), 'source': Value('string'), 'state_tensor_elements': Value('int64'), 'status': Value('string'), 'tensor_count': Value('int64')}), 'ephemeral_work_removed': Value('bool'), 'errors': List({'error': Value('string'), 'job_id': Value('string'), 'kind': Value('string')}), 'finished_at': Value('string'), 'manifest_file_counts': {'checkpoint': Value('int64'), 'fit_receipt': Value('int64'), 'prediction_array': Value('int64'), 'prediction_metadata': Value('int64')}, 'manifest_revision': Value('string'), 'manifest_sha256': Value('string'), 'manifest_url': Value('string'), 'pod_mutation': Value('bool'), 'prediction_array_count_expected': Value('int64'), 'prediction_array_results': List(Value('null')), 'private_bucket_mutation': Value('bool'), 'receipt_commits': List(Value('null')), 'receipt_upload_errors': List({'count': Value('int64'), 'error': Value('string'), 'label': Value('string')}), 'repo_id': Value('string'), 'schema': Value('string'), 'scoring_started': Value('bool'), 'started_at': Value('string'), 'status': Value('string'), 'summary_bytes': Value('int64'), 'summary_sha256': Value('string'), 'summary_upload_error': Value('string'), 'training_started': Value('bool'), 'validation_root': Value('string'), 'verified_checkpoint_bytes': Value('int64'), 'verified_checkpoint_count': Value('int64'), 'verified_prediction_array_bytes': Value('int64'), 'verified_prediction_array_count': Value('int64')}}
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
artifact_revision: string
destination: string
error: string
job_id: string
kind: string
schema: string
source: string
status: string
validated_at: string
source_job_result_note: string
validated_raw_summary_sha256: string
verified_at: string
source_summary: struct<checkpoint_count_expected: int64, checkpoint_results: list<item: struct<artifact_revision: st (... 1197 chars omitted)
child 0, checkpoint_count_expected: int64
child 1, checkpoint_results: list<item: struct<artifact_revision: string, cache_id: string, destination: string, expected_bytes: (... 193 chars omitted)
child 0, item: struct<artifact_revision: string, cache_id: string, destination: string, expected_bytes: int64, expe (... 181 chars omitted)
child 0, artifact_revision: string
child 1, cache_id: string
child 2, destination: string
child 3, expected_bytes: int64
child 4, expected_sha256: string
child 5, job_id: string
child 6, kind: string
child 7, observed_bytes: int64
child 8, observed_sha256: string
child 9, source: string
child 10, state_tensor_elements: int64
child 11, status: string
child 12, tensor_count: int64
child 2, ephemeral_work_removed: bool
child 3, errors: list<item: struct<error: string, job_id: string, kind: string>>
child 0, item: struct<error: string, job_id: string, kind: string>
child 0, error: string
child 1, job_id: st
...
int64, fit_receipt: int64, prediction_array: int64, prediction_metadata: int64>
child 0, checkpoint: int64
child 1, fit_receipt: int64
child 2, prediction_array: int64
child 3, prediction_metadata: int64
child 6, manifest_revision: string
child 7, manifest_sha256: string
child 8, manifest_url: string
child 9, pod_mutation: bool
child 10, prediction_array_count_expected: int64
child 11, prediction_array_results: list<item: null>
child 0, item: null
child 12, private_bucket_mutation: bool
child 13, receipt_commits: list<item: null>
child 0, item: null
child 14, receipt_upload_errors: list<item: struct<count: int64, error: string, label: string>>
child 0, item: struct<count: int64, error: string, label: string>
child 0, count: int64
child 1, error: string
child 2, label: string
child 15, repo_id: string
child 16, schema: string
child 17, scoring_started: bool
child 18, started_at: string
child 19, status: string
child 20, summary_bytes: int64
child 21, summary_sha256: string
child 22, summary_upload_error: string
child 23, training_started: bool
child 24, validation_root: string
child 25, verified_checkpoint_bytes: int64
child 26, verified_checkpoint_count: int64
child 27, verified_prediction_array_bytes: int64
child 28, verified_prediction_array_count: int64
checkpoint_count: int64
checkpoint_bytes: int64
validator_script_sha256: string
validation_job_id: string
to
{'schema': Value('string'), 'status': Value('string'), 'verified_at': Value('string'), 'checkpoint_count': Value('int64'), 'checkpoint_bytes': Value('int64'), 'validation_job_id': Value('string'), 'validator_script_sha256': Value('string'), 'validated_raw_summary_sha256': Value('string'), 'source_job_result_note': Value('string'), 'source_summary': {'checkpoint_count_expected': Value('int64'), 'checkpoint_results': List({'artifact_revision': Value('string'), 'cache_id': Value('string'), 'destination': Value('string'), 'expected_bytes': Value('int64'), 'expected_sha256': Value('string'), 'job_id': Value('string'), 'kind': Value('string'), 'observed_bytes': Value('int64'), 'observed_sha256': Value('string'), 'source': Value('string'), 'state_tensor_elements': Value('int64'), 'status': Value('string'), 'tensor_count': Value('int64')}), 'ephemeral_work_removed': Value('bool'), 'errors': List({'error': Value('string'), 'job_id': Value('string'), 'kind': Value('string')}), 'finished_at': Value('string'), 'manifest_file_counts': {'checkpoint': Value('int64'), 'fit_receipt': Value('int64'), 'prediction_array': Value('int64'), 'prediction_metadata': Value('int64')}, 'manifest_revision': Value('string'), 'manifest_sha256': Value('string'), 'manifest_url': Value('string'), 'pod_mutation': Value('bool'), 'prediction_array_count_expected': Value('int64'), 'prediction_array_results': List(Value('null')), 'private_bucket_mutation': Value('bool'), 'receipt_commits': List(Value('null')), 'receipt_upload_errors': List({'count': Value('int64'), 'error': Value('string'), 'label': Value('string')}), 'repo_id': Value('string'), 'schema': Value('string'), 'scoring_started': Value('bool'), 'started_at': Value('string'), 'status': Value('string'), 'summary_bytes': Value('int64'), 'summary_sha256': Value('string'), 'summary_upload_error': Value('string'), 'training_started': Value('bool'), 'validation_root': Value('string'), 'verified_checkpoint_bytes': Value('int64'), 'verified_checkpoint_count': Value('int64'), 'verified_prediction_array_bytes': Value('int64'), 'verified_prediction_array_count': Value('int64')}}
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.
VCC 2026 broad development artifacts
The B7 RunPod science-output recovery is complete: 256 files, 5,106,104,214 bytes.
| Contents | Files |
|---|---|
| Checkpoints | 64 |
| Fit receipts | 64 |
| Prediction arrays | 64 |
| Prediction receipts | 64 |
Use archive-index.json for current locations, SHA-256 values, sizes, and immutable per-file revisions. STATUS.md records completed work and remaining scientific comparisons. The recovery receipt proves all 109 files missing from the previous archive were recovered and passed full anonymous byte readback.
These are derived development outputs. The scientific campaign remains paused and incomplete. They are not an official submission, an established native-metric ranking, or a released champion. Source-data terms continue to apply.
Private inputs, controls, raw matrices, evaluation truth caches, and credentials are excluded. The remaining pod workspace is stored in a private backup with complete archive and per-file hash verification. All 6,134 original workspace files are preserved. The recovery pod and its local disk are released. All 64 checkpoints and 64 prediction arrays passed finite-value and binding checks. See the recovery summary.
Fifty-eight original private checkpoint copies (4,459,930,610 bytes) were removed only after verified public archival. Frozen scientific plans can contain those old private paths as provenance. Use the public archive index to resolve current download locations.
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