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
artifacts: struct<base_baseline_receipt: struct<path: string, sha256: string>, result: struct<path: string, sha (... 13 chars omitted)
child 0, base_baseline_receipt: struct<path: string, sha256: string>
child 0, path: string
child 1, sha256: string
child 1, result: struct<path: string, sha256: string>
child 0, path: string
child 1, sha256: string
authorities: struct<action_spec: struct<path: string, sha256: string>, atomic_sim_receipt_schema: struct<path: st (... 528 chars omitted)
child 0, action_spec: struct<path: string, sha256: string>
child 0, path: string
child 1, sha256: string
child 1, atomic_sim_receipt_schema: struct<path: string, sha256: string>
child 0, path: string
child 1, sha256: string
child 2, base_model: struct<path: string, sha256: string>
child 0, path: string
child 1, sha256: string
child 3, canonical_config: struct<path: string, raw_sha256: string, resolved_contract_sha256: string>
child 0, path: string
child 1, raw_sha256: string
child 2, resolved_contract_sha256: string
child 4, completion_contract: struct<path: string, sha256: string>
child 0, path: string
child 1, sha256: string
child 5, output_abi: struct<rlinf_path: string, rpent_path: string, sha256: string>
child 0, rlinf_path: string
child 1, rpent_path: string
child 2, sha256: string
child 6, prompt_contract: struct<path: string, sha256: string>
child 0, path: str
...
ng
child 23, source_manifest_sha256: string
child 24, source_revision: string
child 25, split_sha256: string
child 26, splits_file_sha256: string
child 27, torch_seed: int64
child 28, val_completion_accuracy: double
child 29, val_completion_label_count: double
child 30, val_completion_loss: double
child 31, val_prompt_swap_accuracy_available: bool
child 32, val_prompt_swap_rollout_receipt_count: int64
child 33, val_same_state_action_divergence_available: bool
child 34, val_same_state_common_noise_action_rms_max: null
child 35, val_same_state_common_noise_action_rms_mean: null
child 36, val_same_state_common_noise_action_rms_min: null
child 37, val_same_state_offline_telemetry_only: bool
child 38, val_same_state_pair_count: int64
child 39, validation_anchor_count: int64
child 40, validation_anchors_sha256: string
child 41, validation_contexts_sha256: string
child 42, validation_device: string
child 43, validation_device_policy: string
child 44, validation_episode_ids_sha256: string
child 45, validation_flow_forward_count: int64
child 46, validation_forward_count: int64
child 47, validation_forward_ledger_sha256: string
child 48, validation_identity_sha256: string
child 49, validation_model_dtype: string
child 50, validation_purpose: string
child 51, validation_same_state_pair_count: int64
child 52, validation_split: string
child 53, validator_source_sha256: string
mode: string
base_model_sha256: string
score: double
to
{'base_model_sha256': Value('string'), 'global_step': Value('int64'), 'kind': Value('string'), 'metric_name': Value('string'), 'metrics': {'atomic_sim_receipt_schema_sha256': Value('string'), 'base_model_sha256': Value('string'), 'canonical_config_name': Value('string'), 'canonical_raw_config_sha256': Value('string'), 'canonical_resolved_config_sha256': Value('string'), 'canonical_resolved_contract_sha256': Value('string'), 'checkpoint_model_sha256': Value('string'), 'completion_contract_sha256': Value('string'), 'completion_head_is_default': Value('float64'), 'deterministic_algorithms': Value('bool'), 'floating_tensor_count': Value('int64'), 'global_step': Value('int64'), 'language_lora_tensor_count': Value('int64'), 'masked_val_flow_loss': Value('float64'), 'prompt_following_score': Value('float64'), 'prompt_release_manifest_sha256': Value('string'), 'required_same_state_sim_receipt_schema_sha256': Value('string'), 'same_state_eval_sidecar_sha256': Value('string'), 'same_state_keys_sha256': Value('string'), 'same_state_pair_ids_sha256': Value('string'), 'same_state_pair_schema_sha256': Value('string'), 'same_state_sim_receipt_schema_sha256': Value('string'), 'schema_version': Value('string'), 'source_manifest_sha256': Value('string'), 'source_revision': Value('string'), 'split_sha256': Value('string'), 'splits_file_sha256': Value('string'), 'torch_seed': Value('int64'), 'val_completion_accuracy': Value('float64'), 'val_completion_label_count': Value('float64'), 'val_completion_loss': Value('float64'), 'val_prompt_swap_accuracy_available': Value('bool'), 'val_prompt_swap_rollout_receipt_count': Value('int64'), 'val_same_state_action_divergence_available': Value('bool'), 'val_same_state_common_noise_action_rms_max': Value('null'), 'val_same_state_common_noise_action_rms_mean': Value('null'), 'val_same_state_common_noise_action_rms_min': Value('null'), 'val_same_state_offline_telemetry_only': Value('bool'), 'val_same_state_pair_count': Value('int64'), 'validation_anchor_count': Value('int64'), 'validation_anchors_sha256': Value('string'), 'validation_contexts_sha256': Value('string'), 'validation_device': Value('string'), 'validation_device_policy': Value('string'), 'validation_episode_ids_sha256': Value('string'), 'validation_flow_forward_count': Value('int64'), 'validation_forward_count': Value('int64'), 'validation_forward_ledger_sha256': Value('string'), 'validation_identity_sha256': Value('string'), 'validation_model_dtype': Value('string'), 'validation_purpose': Value('string'), 'validation_same_state_pair_count': Value('int64'), 'validation_split': Value('string'), 'validator_source_sha256': Value('string')}, 'mode': Value('string'), 'receipt_payload_sha256': Value('string'), 'schema_version': Value('string'), 'score': Value('float64'), 'status': Value('string'), 'validation_identity_sha256': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
artifacts: struct<base_baseline_receipt: struct<path: string, sha256: string>, result: struct<path: string, sha (... 13 chars omitted)
child 0, base_baseline_receipt: struct<path: string, sha256: string>
child 0, path: string
child 1, sha256: string
child 1, result: struct<path: string, sha256: string>
child 0, path: string
child 1, sha256: string
authorities: struct<action_spec: struct<path: string, sha256: string>, atomic_sim_receipt_schema: struct<path: st (... 528 chars omitted)
child 0, action_spec: struct<path: string, sha256: string>
child 0, path: string
child 1, sha256: string
child 1, atomic_sim_receipt_schema: struct<path: string, sha256: string>
child 0, path: string
child 1, sha256: string
child 2, base_model: struct<path: string, sha256: string>
child 0, path: string
child 1, sha256: string
child 3, canonical_config: struct<path: string, raw_sha256: string, resolved_contract_sha256: string>
child 0, path: string
child 1, raw_sha256: string
child 2, resolved_contract_sha256: string
child 4, completion_contract: struct<path: string, sha256: string>
child 0, path: string
child 1, sha256: string
child 5, output_abi: struct<rlinf_path: string, rpent_path: string, sha256: string>
child 0, rlinf_path: string
child 1, rpent_path: string
child 2, sha256: string
child 6, prompt_contract: struct<path: string, sha256: string>
child 0, path: str
...
ng
child 23, source_manifest_sha256: string
child 24, source_revision: string
child 25, split_sha256: string
child 26, splits_file_sha256: string
child 27, torch_seed: int64
child 28, val_completion_accuracy: double
child 29, val_completion_label_count: double
child 30, val_completion_loss: double
child 31, val_prompt_swap_accuracy_available: bool
child 32, val_prompt_swap_rollout_receipt_count: int64
child 33, val_same_state_action_divergence_available: bool
child 34, val_same_state_common_noise_action_rms_max: null
child 35, val_same_state_common_noise_action_rms_mean: null
child 36, val_same_state_common_noise_action_rms_min: null
child 37, val_same_state_offline_telemetry_only: bool
child 38, val_same_state_pair_count: int64
child 39, validation_anchor_count: int64
child 40, validation_anchors_sha256: string
child 41, validation_contexts_sha256: string
child 42, validation_device: string
child 43, validation_device_policy: string
child 44, validation_episode_ids_sha256: string
child 45, validation_flow_forward_count: int64
child 46, validation_forward_count: int64
child 47, validation_forward_ledger_sha256: string
child 48, validation_identity_sha256: string
child 49, validation_model_dtype: string
child 50, validation_purpose: string
child 51, validation_same_state_pair_count: int64
child 52, validation_split: string
child 53, validator_source_sha256: string
mode: string
base_model_sha256: string
score: double
to
{'base_model_sha256': Value('string'), 'global_step': Value('int64'), 'kind': Value('string'), 'metric_name': Value('string'), 'metrics': {'atomic_sim_receipt_schema_sha256': Value('string'), 'base_model_sha256': Value('string'), 'canonical_config_name': Value('string'), 'canonical_raw_config_sha256': Value('string'), 'canonical_resolved_config_sha256': Value('string'), 'canonical_resolved_contract_sha256': Value('string'), 'checkpoint_model_sha256': Value('string'), 'completion_contract_sha256': Value('string'), 'completion_head_is_default': Value('float64'), 'deterministic_algorithms': Value('bool'), 'floating_tensor_count': Value('int64'), 'global_step': Value('int64'), 'language_lora_tensor_count': Value('int64'), 'masked_val_flow_loss': Value('float64'), 'prompt_following_score': Value('float64'), 'prompt_release_manifest_sha256': Value('string'), 'required_same_state_sim_receipt_schema_sha256': Value('string'), 'same_state_eval_sidecar_sha256': Value('string'), 'same_state_keys_sha256': Value('string'), 'same_state_pair_ids_sha256': Value('string'), 'same_state_pair_schema_sha256': Value('string'), 'same_state_sim_receipt_schema_sha256': Value('string'), 'schema_version': Value('string'), 'source_manifest_sha256': Value('string'), 'source_revision': Value('string'), 'split_sha256': Value('string'), 'splits_file_sha256': Value('string'), 'torch_seed': Value('int64'), 'val_completion_accuracy': Value('float64'), 'val_completion_label_count': Value('float64'), 'val_completion_loss': Value('float64'), 'val_prompt_swap_accuracy_available': Value('bool'), 'val_prompt_swap_rollout_receipt_count': Value('int64'), 'val_same_state_action_divergence_available': Value('bool'), 'val_same_state_common_noise_action_rms_max': Value('null'), 'val_same_state_common_noise_action_rms_mean': Value('null'), 'val_same_state_common_noise_action_rms_min': Value('null'), 'val_same_state_offline_telemetry_only': Value('bool'), 'val_same_state_pair_count': Value('int64'), 'validation_anchor_count': Value('int64'), 'validation_anchors_sha256': Value('string'), 'validation_contexts_sha256': Value('string'), 'validation_device': Value('string'), 'validation_device_policy': Value('string'), 'validation_episode_ids_sha256': Value('string'), 'validation_flow_forward_count': Value('int64'), 'validation_forward_count': Value('int64'), 'validation_forward_ledger_sha256': Value('string'), 'validation_identity_sha256': Value('string'), 'validation_model_dtype': Value('string'), 'validation_purpose': Value('string'), 'validation_same_state_pair_count': Value('int64'), 'validation_split': Value('string'), 'validator_source_sha256': Value('string')}, 'mode': Value('string'), 'receipt_payload_sha256': Value('string'), 'schema_version': Value('string'), 'score': Value('float64'), 'status': Value('string'), 'validation_identity_sha256': Value('string')}
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.
BEHAVIOR Explore legacy archive
This public dataset repository preserves audit evidence from retired RPent / RLinf BEHAVIOR prompt-following routes. Every artifact under legacy/ is historical evidence only.
No legacy artifact—including pi05-b1kpt50-cs32, canonical steps 365/767/1167, or native-LoRA step338—may initialize, resume, warm-start, merge into, or select a checkpoint for the current LA/VLA route. Successful archival or restoration does not change this policy. The current route starts separately from the official Physical Intelligence pi05_base checkpoint.
Published content and status
| Path | Publication status | Integrity status | Meaning |
|---|---|---|---|
legacy/models/pi05-b1kpt50-cs32/ |
uploaded | covered by the original archive record | Retired third-party BEHAVIOR pt50 model. |
legacy/training/canonical/ |
uploaded | not exhaustively enumerated by the LoRA manifest | Retired canonical checkpoints, deploy exports, validation receipts, and logs. |
legacy/training/lora/ |
uploaded | 21/21 source files verified at the fixed payload revision; see manifests/archive-manifest-v2.json |
Retired native-LoRA run, sealed step338 DCP, associated CPU-validation evidence, TensorBoard event, and driver log. |
legacy/training/dataset-deltas/obsolete-prompt-following-derived-v1/ |
uploaded | 7/7 delta files plus reconstruction manifest verified at fixed payload revision | Byte deltas and reconstruction recipes for five deleted, obsolete derived trees; not current training data. |
legacy/diagnostics/ |
not uploaded | not verified | Planned destination for interrupted campaigns; directory presence must not be inferred from this README. |
legacy/source-snapshot/ |
not uploaded | not verified | Planned destination for selected source/config snapshots; directory presence must not be inferred from this README. |
Only files explicitly enumerated in an active manifest are covered by that manifest's integrity claims. A path named in this README or a manifest is not, by itself, evidence that the path was uploaded.
Native-LoRA step338
The complete retained local LoRA source tree was uploaded without rewriting its bytes to legacy/training/lora/ in payload revision d6ca4dad7cf9a2b897a09c7dd29a41b3aff62141:
- 21 regular files;
- 16,978,218,437 bytes;
- sealed DCP object
step-000000000338-1f2c404a246ebabc; - DCP object manifest SHA-256
1f2c404a246ebabc77215999c898a7a848cf3f0656834e4962adcae08864c5dd; - associated 32-forward CPU validation receipt with
masked_val_flow_loss=0.007970079779624939.
The associated CPU receipt originally validated a temporary BF16 model export. It must not be described as proof that the archived DCP training state was restored. The manifest separately records source integrity, remote per-file verification, isolated re-download verification, model-state DCP decoding, and production-equivalent resume status.
The archived .pt, .distcp, and DCP metadata files are trusted checkpoint inputs that may use pickle-based serialization. Load them only in a trusted, isolated environment after verifying the manifest. Original logs and receipts intentionally preserve machine-local provenance such as absolute paths, hostnames, PIDs, and timestamps. A bounded scan of the text, config, JSON, and log files found no token, API-key, private-key, password, cookie, or authorization-header pattern; this is not a general claim about arbitrary binary checkpoint contents.
After the fixed-revision remote verification, isolated re-download, and CPU DCP model-state decode had passed, the old local LoRA copies were deleted under an explicit user instruction. The deletion covered only two verified roots: /home/ubuntu/lwb/Artifacts/RLinf_prompt_following/lora (21 regular files; 16,978,218,437 regular-file bytes) and its byte-matched checkpoint/validation copy /dev/shm/rpent_prompt_following_lora_native_lora_v1 (18 regular files; 16,977,337,528 regular-file bytes). The first root was deleted at 2026-08-13T13:16:52+08:00 and the second at 2026-08-13T13:22:02+08:00. Their deletion receipt is manifests/verification/native-lora-step338-local-deletion.json. Production-equivalent eight-rank resume remains not_run; the user-authorized deletion does not turn that missing evidence into a pass.
Obsolete derived dataset deltas
Payload revision 5c40e01b9fec4d54f15af1a98bff367ce77a6a35 stores seven unique delta files totaling exactly 61,711 bytes plus reconstruction-manifest-v1.json as additional metadata. The deltas cover five obsolete derived roots: canonical variants A and B, converter outputs run1 and run2, and the non-canonical task-0001 v1 tree.
At that fixed revision, all 8/8 payload paths, sizes, and SHA-256 values were verified after an isolated download. The five complete roots were then reconstructed in isolation and matched their still-present sources: 43 regular files and 14,152,687,590 bytes, with exact path sets and per-root tree-contract SHA-256 values. The five source roots were deleted only after those checks passed; see manifests/verification/obsolete-prompt-following-derived-v1-local-deletion.json.
This is a delta archive, not a self-contained dataset release and not an input for the current LA/VLA route. Reconstruction depends on the retained, hash-pinned canonical-v1-c and task-0001 canonical bases declared in the reconstruction manifest. Those bases are not duplicated by this delta archive and remain outside the deletion scope.
Data and campaign boundaries
- The canonical task-0001 dataset contains 142 train episodes, 1,704 segments, and 663,708 canonical 32-step windows. It remains local training input and is not duplicated here.
- The stopped
rpent-anchor-272-v2snapshot recorded 70 cases with completed status, 16 stale-running status files, and 186 unstarted cases. “Completed status” is not task success. No final aggregate exists, so no formal completion or success rate may be derived from it. exact_historical_restore=falsefor Parquet anchor materialization receipts; one explicit warm-up physics tick was part of the accepted state-construction contract.
Verification vocabulary
These states are independent:
uploaded: files are present at a fixed Hub revision.remote_per_file: remote path, size, and SHA-256 match the source manifest.isolated_redownload: a new fixed-revision download matches the source manifest byte-for-byte.dcp_model_state_decode: the downloaded DCP was parsed and its model state was materialized on CPU.production_equivalent_resume: model, optimizer, scheduler, per-rank data state, and RNG were restored in an isolated matching distributed environment and advanced through a controlled resume step.
Do not promote a weaker state to a stronger one. In particular, CPU loss, local predicates, materialization success, or checkpoint presence is not robot task success.
Guidance for future agents
- Use
manifests/archive-manifest-v2.jsonfor the LoRA file list and verification state; retain v1 only as historical evidence. - Do not delete a local source merely because files are visible on the Hub. Require an exact intended deletion scope, fixed-revision remote verification, isolated re-download, explicit deletion authorization, and a receipt that records both completed checks and any remaining restore gap.
- Do not mix interrupted v1/v2 campaign receipts or describe partial campaigns as complete datasets.
- Keep official task success, local predicates, workflow sealing, terminal receipts, and publication as separate facts.
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