metadata
license: apache-2.0
task_categories:
- robotics
- imitation-learning
pretty_name: STDB-CC Datasets
STDB-CC Datasets
STDB-CC is a RoboTwin-based robot imitation learning dataset for studying visual distribution shift and task/environment factorization.
The dataset uses one fixed split:
scene0 + scene3 -> train
scene2 -> validation
scene1 -> test
Split token:
scene03_train_scene2_val_scene1_test
Directory Layout
raw/robotwin_stdb_cc/
<task_name>/
stdb_cc_scene0/
stdb_cc_scene1/
stdb_cc_scene2/
stdb_cc_scene3/
manifests/scene03_train_scene2_val_scene1_test/
processed/diffusion_policy/
scene03_train_scene2_val_scene1_test/
<task_name>-stdb_cc_task-50.zarr/
metadata/
dataset_summary.json
verify_reports/
Contents
raw/robotwin_stdb_cc/: raw RoboTwin STDB-CC data with 4 visual scenes per task.processed/diffusion_policy/: Diffusion Policy zarr datasets built from the train split only.metadata/verify_reports/: local verification reports for the raw task data.metadata/dataset_summary.json: machine-readable task list, split information, and artifact counts.
Current Release
- Tasks: 50
- Episodes per task per scene: 50
- Raw episodes per task: 200
- DP train episodes per task: 100
- Scenes:
stdb_cc_scene0,stdb_cc_scene1,stdb_cc_scene2,stdb_cc_scene3
The raw task manifests are stored under each task:
raw/robotwin_stdb_cc/<task_name>/manifests/scene03_train_scene2_val_scene1_test/
The DP zarr artifacts embed their train manifest as:
processed/diffusion_policy/scene03_train_scene2_val_scene1_test/<task_name>-stdb_cc_task-50.zarr/stdb_cc_manifest.jsonl
Notes
This repository currently contains the raw RoboTwin STDB-CC data and the Diffusion Policy conversion. Future conversions for other policy families can be added under processed/<format_or_model>/ without changing the raw data layout.