---
language:
- en
tags:
- mctd
- on-policy-distillation
- agent-traces
---

# MCTD optional OPD annotation snapshots

Consistent SQLite backups of the existing ALFWorld, ScienceWorld, PlanCraft and EB-Habitat
teacher-output stores. They retain outputs regardless of success, with
separate `trajectory_outcomes` labels where available. Missing outcome labels
mean **unknown**, not success. Publication does not re-label these entries.

| Environment | Output records | Outcome records |
|---|---:|---:|
| ALFWorld | 275,140 | 243,700 |
| ScienceWorld | 15,246 | 15,246 |
| PlanCraft (2026-09-10 snapshot) | 16,197 | 11,015 |
| EB-Habitat | 39,938 | 0 |

The latest PlanCraft pack also contains **1,750 teacher-results cache rows**.
The main output archive includes 403 additional unique outputs from the earlier
Qwen3.8 archive, preserving its 432 additional outcome associations.
It installs immutable databases under `data/opd_cache/plancraft/snapshots/20260910/`;
the OPD workflow seeds separate writable runtime stores on first use. Existing
live caches on the source server are reused without being overwritten by a
download. The older PlanCraft pack remains available in repository history and
as a versioned artifact; the current manifest selects the newer snapshot.

Outputs and outcomes are not necessarily one-to-one. The same context may
have multiple results and episode outcomes. SQLite `quick_check`, SHA-256 and
archive inventories are checked during export. Use the exact manifest counts
if a newer revision differs from this card.

```bash
python scripts/download_resources.py --environment all --with-cache
```

## Reuse contract

These caches preserve original namespace/context/payload keys, provenance,
quality flags and outcomes. Historical path or model-contract differences
can prevent cache hits on another machine. Only compatible entries may be
reused; this snapshot does **not** promise that every historical output will
hit, and the download does not rekey incompatible E+C supervision.

Duplicate static-success indexes are deliberately omitted: the existing
training code rebuilds them from the teacher dataset in
[oosnow/mctd-data](https://huggingface.co/datasets/oosnow/mctd-data).
These caches are optional acceleration inputs, not success-only SFT data.
Keep the algorithm's outcome-aware reuse and reward-weighting rules.

Model management labels are not proof of the actual generator. Preserve the
original backend provenance; multiple teacher and scorer runs are represented.
The files contain no model weights, API credentials or training optimizer
state. Environment-derived/generated material remains subject to applicable
upstream/provider terms; this card does not establish a new blanket license.

The Habitat snapshot (`eb-habitat-20260909.tar.gz`) has no separate trajectory
outcome records. These entries are **unknown-outcome** outputs, not successful
or failed trajectory labels. They must not bypass outcome-aware reuse rules.
Successful static trajectories are distributed separately in `mctd-data`.