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| # Data layout and provenance | |
| The HF dataset is `namezz/seer-agent-traces`. Use the immutable revision in `DATA_RELEASE.json`; do not use a moving `main` for reported experiments. | |
| ## Compact layer (default download) | |
| - `replay/unified-oracle/tmax-intervals.json`: 253 included Teacher attempts and relative model-wait intervals. | |
| - `replay/deepswe-full/rows/`: 2,000 compact records, including two infrastructure failures. Generation-complete records alone enter replay. | |
| - `replay/deepswe-full/IMAGE_INVENTORY.json`: task-to-image-blob mapping and deduplicated compressed byte sizes. | |
| - `replay/normal-teachers/schedules.csv`: historical reference schedules; only its TMax FIFO ordering is an input to the current search. Its old DeepSWE pilot rows are not used. | |
| - `replay/normal-teachers/tmax-exceptions.*`: excluded original attempts and reasons. | |
| - `replay/joint/TASK_RESOURCES.json`: all 89 native TMax task resource/budget definitions. | |
| - `provenance/`: frozen evaluation contracts and relevant historical harness sources. | |
| - `reference-results/`: final search output, independent validations, schedules, tables and figures. | |
| - `MANIFEST.json`: SHA256 and size of every dataset payload file. | |
| Some provenance filenames/fields retain original cluster paths. They are historical identifiers, not required filesystem locations. `replay/unified-oracle/RESULT.json` also contains the obsolete 100-attempt DeepSWE pilot; executable modules read its TMax branch only. Full DeepSWE inputs and reference results live under the full-data paths above. | |
| ## Raw layer (optional download) | |
| `raw/teacher-archives-*.tar` bundles 2,267 original compressed archives: TMax Teacher 267 and DeepSWE Teacher 2,000. `RAW_ARCHIVE_INDEX.json` maps each attempt to a shard/member, original SHA256, byte size and immutable source generation. An archive may contain prompts, model responses, token IDs, trajectories, tool output, rewards or error diagnostics; exact members differ by harness. | |
| Download with `seer-download --revision COMMIT --dest data --with-raw`. No Google credentials or original cluster access are needed once the HF copy is verified. To inspect an archive, use Python's `tarfile` streaming reader or `tar -xOf SHARD MEMBER`; do not blindly extract untrusted archive paths into a shared directory. | |
| ## Core record schema | |
| - `id`, `task`: attempt and benchmark task identity. | |
| - `duration`: seconds for the retained lifecycle. | |
| - `cpu`, `memory_gib`: sandbox reservation quota. | |
| - `model_intervals`: sorted, disjoint `[start_seconds, end_seconds]` intervals relative to attempt start. | |
| - DeepSWE additionally records status, exit reason, call counts, seed, missing-end indices, clipping seconds and archive hashes. | |
| Raw archives are evidence; compact intervals are the replay input. Changes to extraction must version the dataset and preserve provenance, not overwrite archived outcomes. | |
| ## Excluded from migration | |
| Base model weights, Docker images/layers themselves, virtual environments, CUDA builds, Slurm allocations, unrelated SFT/SP training data/checkpoints, unrelated conversation history and account credentials. Image metadata is included; image payloads are public/upstream-downloadable and not needed for replay. | |
| See `docs/WORKLOADS.md` to collect new traces. A fresh online run needs its own models, serving endpoint, task environments and resource telemetry; the offline package is not an already deployed agent runtime. | |
| ## Inspect a raw attempt without unsafe extraction | |
| ```bash | |
| python -m seer_replay.inspect_trace --data-dir data --pair deepswe --id astropy__astropy-12907--00 | |
| # Copy one explicitly named member after inspecting its exact name: | |
| python -m seer_replay.inspect_trace --data-dir data --pair deepswe --id astropy__astropy-12907--00 --member EXACT_MEMBER_NAME --output saved-member.json | |
| ``` | |
| The inspector checks the original archive SHA256 before reading it and never bulk-extracts member paths. Request full raw data first with `--with-raw`. | |