ham18053178427/Visual-CoT
VisCoT Dataset Card There is a shortage of multimodal datasets for training multi-modal large language models (MLLMs) that require to identify specific regions in an image for additional attention to improve response performance. This type of dataset with grounding bbox annotations could possibly help the MLLM output intermediate interpretable attention area and enhance performance. To fill the gap, we curate a visual CoT dataset. This dataset specifically focuses on… See the full description on the dataset page: https://huggingface.co/datasets/ham18053178427/Visual-CoT.
| Author / organization | ham18053178427 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 167 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 3 February 2026 |
| Last updated at source | 3 February 2026 |
Popularity, last 2 days
167 now (+14 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: VisCoT Dataset Card There is a shortage of multimodal datasets for training multi-modal large language models (MLLMs) that require to identify specific regions in an image for additional attention to improve response performance. This type → VisCoT Dataset Card There is a shortage of multimodal datasets for training multi-modal large language models (MLLMs) that require to identify specific regions in an image for additional attention to improve response performance. This type
Changes detected by Silytics between refreshes of the source.
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 Information may be incomplete or out of date.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.