| # ALAM CALVIN NPZ dataset | |
| Repository ID: `Mark-ZJTang/CALVIN_task_ABC_D`. | |
| Converted CALVIN RGB-static frames used by ALAM tokenizer training. The payload | |
| is published as uncompressed `data-*.tar` shards plus | |
| `ARCHIVE_MANIFEST.sha256` and `DATASET_LAYOUT.json`; it is not meant to be read | |
| directly from the tar files. The ALAM downloader verifies and reconstructs this | |
| runtime layout: | |
| ```text | |
| data/alam/calvin/{training,validation}/ | |
| ``` | |
| Each split contains its `npz_metadata.json` and referenced NPZ files. Training | |
| has 1,795,045 entries, validation has 99,022, and this snapshot has no separate | |
| test split. | |
| ```bash | |
| .venvs/publish/bin/python workflows/publishing/download_huggingface.py \ | |
| --artifact calvin_task_abc_d | |
| ``` | |
| Before making this dataset public, the publisher must verify CALVIN source-data | |
| redistribution terms and add the appropriate license and upstream attribution. | |