Sign inGet started
Dataset · Hugging Face

szang18/s3-language-following-v7big

S3 Language-Following v7big Dual-arm tabletop pick corpus for the S3 language-following benchmark. 5,531 episodes over 2,520 scenes (textured rendering, 4 cameras: head / front / wrist×2, 256×256 @10fps, 98 frames/episode) Task family: "pick up the apple 〈relation〉 the 〈landmark〉" — 4 spatial relations × 6 landmark objects (18 populated cells), 3 identical apples per scene, 1 distractor landmark, 8 caption phrasings per cell Balanced ~62 demos per (cell × distractor-config);… See the full description on the dataset page: https://huggingface.co/datasets/szang18/s3-language-following-v7big.

Author / organizationszang18
License (as declared)cc-by-nc-4.0
Downloads517 (as reported by Hugging Face)
Likes0
Created31 August 2026
Last updated at source31 August 2026
lerobotvlalanguage-followingdual-arm
Embed this entry
<iframe src="https://silytics.si/embed/item/7cffccca-83f1-4924-b614-5dbab09b00f0" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

517 now (-6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from szang18

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.