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SHARPA-BC-DATA-019: Phone07 Partial2763 Proof-of-Work Snapshot

Private proof-of-work dataset derived from complete terminal receipts available when the DATA-017 C4096 collection was stopped by the operator. It contains train-ready history-3 MLP and current-frame GRU views without changing parent rollout or label bytes.

Dataset identity

Field Value
Data Task ID SHARPA-BC-DATA-019
Dataset ID 20260831_t0149_model7800_phone07_partial2763_pow_v1
Status READY / PROOF-OF-WORK SNAPSHOT
Teacher SHARPA-T0-149 model_7800.pt
Teacher checkpoint SHA256 6a364bd96390372787f2a2518fc85be44f399263fd90f1c615daf33671713ff2
Snapshot selector SHA256 430b10f833a48321fa8f8f5d7dd4c7cfab1603de73c389c25ed8351c1003dcc6
Dataset manifest SHA256 740ff1d0f02eab5429c97d7c6ee9054696133684d9999e57a8d1d12f57faf405
Release archive SHA256 61feae2f23dae2f16e096aa53d5d6cb24ce9062fdff8ec6c3421dfc4e9bee31d

Contents

Split Admitted attempts Transitions
train 1936 390,694
validation 340 67,889
heldout 311 62,374
reflection 176 not used for supervision

The selector contains 2763 unique terminal cases and zero infra failures.

Schema and timing

  • MLP observation: (A,213) float32, attempt-local history-3.
  • GRU observation: (A,71) float32.
  • Target: (A,31) float32 executed absolute target.
  • Temporal contract: obs_t -> final_applied_target_t -> physics -> state_t+1.
  • Train-only rollout-balanced normalization; validation and heldout never contribute statistics.

Loading

Download SHARPA-BC-DATA-019_READY_PARTIAL2763_v1.tar, verify its SHA256, extract it, then load dataset_v1 with the bundled manifest identity.

Limitations

Selection was based on receipt availability at the user-requested stop boundary, not on a preregistered 2763-row sampling design. This release may not be described as an unbiased approximation of the full DATA-017 C4096 distribution. It is intended only to test whether the BC pipeline can work on a larger phone07 snapshot.

Visibility

This release is intended for a private Hugging Face Dataset repository. Do not upload private credentials, checkpoints, H5 files or raw human-source data.

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