Simulation · Square-Broad
Collection
Square-Broad R0–R3 trajectories and pinned evaluation evidence. Release 2026-09-22. • 38 items • Updated
Datasets:
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observation.state list | observation.environment_state list | action list | source int64 | success int64 | intervention int64 | is_valid int64 | reward float32 | done int64 | timestamp float32 | frame_index int64 | episode_index int64 | index int64 | task_index int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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0.8300191164016724,
-0.004527750890702009,
0.002580066444352269,
0.6556276679039001,
-0.75506639... | [
0.12582357227802277,
-0.005524105858057737,
0.05554281175136566,
0.02125495672225952,
0.004997055511921644,
-0.0014603582676500082,
0.9987226128578186
] | 0 | 1 | 0 | 1 | 0 | 0 | 4.95 | 99 | 0 | 99 | 0 |
End of preview. Expand in Data Studio
sim-square-broad-c02-dagger-baseline
Part of Mulligan. Browse the release at Policy Arena.
| Property | Value |
|---|---|
| Task | sim-square-broad |
| Role | training-view |
| Release grouping | mainline |
| Variant | baseline |
| Model rounds | R2 |
| Episodes | 100 |
| Frames | 20313 |
| Recording FPS | 20 |
| Cameras | State-only; no camera recordings |
| Release tag | release-2026-09-22 |
| Parent | mulligan/sim-square-broad-c02-dagger-mixed |
Provenance
Copied from ankile/square-d1-01a-baseline-uniform-r2-nocf at commit 6a18c7a7f9c7dcdfb3802f7dd7aa7727c8361a09.
Trajectory parquet, episode metadata, statistics, videos, outcomes and original episode IDs are preserved.
Only release documentation and dataset identity/lineage references are normalized.
The original dataset card is retained in meta/source_README.md when one existed.
meta/release.json records source identity, known ancestry, schema and release checks.
Existing lineage is archived in meta/source_dataset_lineage.json before identity remapping.
Collection increments (cNN) and evaluated model rounds (rNN) are different axes.
Routing D2 retains historical D1-named collection and rollout ancestry. Those original task,
policy and model-round identifiers are provenance, not separate released D1 benchmarks.
Evaluation recordings can become training evidence for later models. Training/test eligibility is defined per consuming model in the release recipes; the repository name alone is not a global holdout guarantee. Mixed source recordings can include additional method arms. Policy Arena selects the released mainline policies and episodes explicitly.
Labels and schemas
Success labels and review history retain the source revision. Machine stage predictions are
not human-adjudicated labels. Read the original metadata and release result manifest for
per-block review coverage. Camera availability, action conventions and observation fields
vary across recordings; use this dataset's meta/info.json instead of assuming one schema.
The source card declares apache-2.0; this release preserves that declaration.
Load using an immutable release commit or release-2026-09-22. The moving v3.0 tag is for LeRobot compatibility.
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