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Download README.md from Mark-ZJTang/CALVIN_task_ABC_D: direct link, hf CLI and curl.
- Browser
- Download file 888 Bytes
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https://huggingface.co/datasets/Mark-ZJTang/CALVIN_task_ABC_D/resolve/main/README.md
- Command line
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hf download hf://datasets/Mark-ZJTang/CALVIN_task_ABC_D/README.md
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curl -L -o README.md https://huggingface.co/datasets/Mark-ZJTang/CALVIN_task_ABC_D/resolve/main/README.md
888 Bytes
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:
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.
.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.