Dataset · Hugging Face

erow/Medical-ROIs-K2.6

Name: Medical-ROIs-K2.6
Creator: erow
License: other
Keywords: task_categories:visual-question-answering, task_categories:image-to-text, language:en, license:other, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, medical, radiology

Medical-ROIs-K2.6 Medical visual grounding SFT data: for each clinical VQA sample, a teacher model proposes answer-supporting ROIs (regions of interest) as 2D bounding boxes. Teacher: moonshotai/Kimi-K2.6.Upstream images & QA: MBZUAI/medix-rl-data. How the data is generated MBZUAI/medix-rl-data (train) │ │ problem / solution / image / source / id ▼ Teacher: moonshotai/Kimi-K2.6 (vision + text; given question + gold answer) │… See the full description on the dataset page: https://huggingface.co/datasets/erow/Medical-ROIs-K2.6.

View on Hugging FaceReport an issue

Author / organization	erow
License (as declared)	other
Downloads	126 (as reported by Hugging Face)
Likes	0
Created	10 August 2026
Last updated at source	10 August 2026

medicalradiologypathologyroigroundingbounding-boxmultimodalsft

Embed this entry

<iframe src="https://silytics.si/embed/item/1ebc4c0f-5459-437e-a53a-dc222dd35508" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from erow

erow/curated_seeingDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.