datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sat-vl-sft-postprocessed-merged-v1
Dataset Summary
NuTonic/sat-bbox-metadata-sft-v1 is a metadata-first, procedural VLM SFT dataset built from an existing “sat-bbox” style dataset tree (Sentinel‑2 chips + per-tile JSON metadata sidecars, optionally paired Mapbox stills).
The goal is to create high-signal, production-shaped supervision for multimodal chat models:
Captioning for satellite chips
Grounding (bounding boxes in normalized coordinates) for land-cover regions
Class-focused captions and absence checks for… See the full description on the dataset page: https://huggingface.co/datasets/NuTonic/sat-vl-sft-postprocessed-merged-v1.banana-merged
Banana-Merged
A synthetic multi-page visual question answering dataset with hard negatives, designed for fine-tuning visual document retrievers like ColFlor and ColPali.
Dataset Summary
Banana-Merged contains 1,100 training samples and 10,054 images (positive pages + hard negative variants). Each sample pairs a multi-page analytical query with a set of document images that collectively contain the answer, plus one or more hard negative documents that look visually and… See the full description on the dataset page: https://huggingface.co/datasets/vkehfdl1/banana-merged.