HIMANSHUKUMARJHA/lost-labels
Lost Labels: evidence acquisition in a simulated thermal rig Fully synthetic telemetry, documents and controlled interventions. No physical hardware or personal data. Beam inference is real, routed through Hugging Face Baseten. Exact requested/returned identifiers, settings and usage are in episodes. agent/inputs.jsonl contains only model-visible initial evidence. Hidden identities are isolated in evaluator/answers.jsonl; NEVER feed that file to an investigator. Runtime tools… See the full description on the dataset page: https://huggingface.co/datasets/HIMANSHUKUMARJHA/lost-labels.
| Author / organization | HIMANSHUKUMARJHA |
|---|---|
| License (as declared) | mit |
| Downloads | 148 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 22 October 2026 |
| Last updated at source | 22 October 2026 |
Recent changes
- 22 Oct 2026 Description: Lost Labels Dataset publication in progress. budget.json is the persistent deployment call ledger. → Lost Labels: evidence acquisition in a simulated thermal rig Fully synthetic telemetry, documents and controlled interventions. No physical hardware or personal data. Beam inference is real, routed through Hugging Face Baseten. Exact reques
- 22 Oct 2026 Topics added task_categories:reinforcement-learning, synthetic, tool-use, beam, telemetry
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