Sign inGet started
Dataset · Hugging Face

HCLab-Zero/lingbot-mme-quat

lingbot-mme-quat RoboMME training split for LingBot-VA / TAMR with quaternion EEF actions. Layout Root: empty_emb.pt, robomme_norm_stats.json (layout=xyz_quat_xyzw_gripper) Per task (16×100 train episodes): data/, latents/, meta/ (incl. seb_labels.jsonl), rag_v4/ Action packing: xyz + quat(xyzw) + gripper → model channels [0..6, 28] Videos are not included (training uses latents) Usage export ROBOMME_DATASET=/path/to/lingbot-mme-quat export… See the full description on the dataset page: https://huggingface.co/datasets/HCLab-Zero/lingbot-mme-quat.

Author / organizationHCLab-Zero
License (as declared)apache-2.0
Downloads363 (as reported by Hugging Face)
Likes0
Created6 October 2026
Last updated at source7 October 2026
RoboMMELingBot-VAquaternion
Embed this entry
<iframe src="https://silytics.si/embed/item/69bd9ae0-0014-42a4-aabc-ad0dee9563ae" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

363 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from HCLab-Zero

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.