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float64
0
1
goal_dist_min
float64
0.01
0.28
goal_dist_final
float64
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int64
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Factored-FB play data

Offline datasets for the Factored-FB testbed (Box2D / Metaworld / ManiSkill dev tasks), in the unified per-episode .npz schema (observation, action, next_observation, reward, terminal, timeout, success). Two subsets, produced by rolling trained TD-MPC2 checkpoints (Box2D + ManiSkill) or the Metaworld scripted oracle:

play-noise/

Single-goal, exploration-augmented rollouts. Each episode draws a per-episode exploration level (an expert_frac run clean; the rest add ε-random + Gaussian action noise), runs the full horizon with no stop-at-success. Diverse states around one task goal — noisy demos. 1.35M transitions, 9 tasks (5 Box2D × 1000 ep, 2 ManiSkill × 3000 ep, 2 Metaworld × 1000 ep).

play-resample/

OGBench-style diverse-goal play: one long continuous episode chains many goals — reach the goal, hold it briefly, then resample a new valid goal (Box2D: not inside a wall, not too close) and continue. No env reset between goals, so goal-relabeling sees a broad goal distribution. (Box2D goal-conditioned tasks; see that subset's manifest for coverage.)

Each <Family>__<task>/ holds buffer/episode_*.npz + meta.json. _videos/ has a rollout grid per task. Load with env/unified.py::load_unified from the Factored-FB repo.

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