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task-to-image-blob mapping and deduplicated compressed byte sizes.replay/normal-teachers/schedules.csv: historical reference schedules; only its TMax FIFO ordering is an input to the current search.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
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.