SaltySander/HISTAI-Instruct
HISTAI-Instruct Dataset Dataset Summary HISTAI-Instruct is a multilingual, multimodal instruction-tuning dataset for computational pathology built on top of the open HISTAI dataset by Nechaev et al (see citation at the bottom). It is designed to support Vision-Language Models (VLMs) in histopathology tasks, including detailed description, differential diagnosis, and multi-turn conversation. Key Statistics 24,259 cases and WSIs Across 9 organs… See the full description on the dataset page: https://huggingface.co/datasets/SaltySander/HISTAI-Instruct.
| Author / organization | SaltySander |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 215 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 11 December 2025 |
| Last updated at source | 19 December 2025 |
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- 16 Oct 2026 Description: HISTAI-Instruct Dataset Dataset Summary HISTAI-Instruct is a multilingual, multimodal instruction-tuning dataset for computational pathology built on top of the open HISTAI dataset by Nechaev et al (see citation at the bottom). It is design → HISTAI-Instruct Dataset Dataset Summary HISTAI-Instruct is a multilingual, multimodal instruction-tuning dataset for computational pathology built on top of the open HISTAI dataset by Nechaev et al (see citation at the bottom). It is design
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