CALVIN
by Albert-Ludwigs-Universität Freiburg · free · Last verified 2026-03-17
CALVIN is a large-scale dataset and benchmark for long-horizon, language-conditioned robot manipulation. It features over 24 hours of teleoperated demonstration data in a tabletop environment, encompassing 34 distinct skills that can be composed to solve complex, multi-step tasks from natural language instructions.
https://calvindataset.github.io/CALVIN ↗C+
C+—Average
Adoption: BQuality: AFreshness: BCitations: B+Engagement: F
Specifications
- License
- MIT
- Pricing
- free
- Capabilities
- language-conditioned policy learning, long-horizon task sequencing, imitation learning from play-data, visual-language grounding, multi-task robot control, benchmark for reinforcement learning, zero-shot task generalization, state and visual representation learning
- Integrations
- Use Cases
- [object Object], [object Object], [object Object], [object Object]
- API Available
- No
- Tags
- robotics, language-conditioned, manipulation, long-horizon, benchmark, dataset, imitation-learning, robot-learning, computer-vision, nlp, policy-learning
- Added
- 2026-03-17
- Completeness
- 0.75%
Index Score
59.5Adoption
60
Quality
84
Freshness
68
Citations
75
Engagement
0