Datasets › CALVIN
CALVIN (Composing Actions from Language and Vision)
CALVIN (Composing Actions from Language and Vision), is an open-source simulated benchmark to learn long-horizon language-conditioned robot manipulation tasks.
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Robot Manipulation | CALVIN | DreamVLA avg. sequence length (D to D) 4.44 | DreamVLA: A Vision-Language-Action Model Dreamed with... | Zhangwenyao1/DreamVLA | 19 | Compare |
| Zero-shot Generalization | CALVIN | GR-MG Avg. sequence length 4.04 | GR-MG: Leveraging Partially Annotated Data via... | bytedance/GR-MG | 5 | Compare |
Papers archive 2025-07-28
18 shown of 18 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 65. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
MIT License
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- CALVIN
1 variant name, as the archive lists them.
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