Alfaxad/vector-100k
VectorOS Vector 100k SimSat VLM Dataset VectorOS Vector 100k is a high-fidelity multimodal instruction dataset for fine-tuning vision-language models on geospatial epidemiology tasks. It was built for the VectorOS hackathon project and targets LiquidAI/LFM2.5-VL-450M. The dataset contains 100,000 chat-style examples derived from 10,000 geospatial chips across 30 AOIs. Every accepted chip has a real SimSat Sentinel-2 true-color view, a real SimSat Sentinel-2 NIR-red-green… See the full description on the dataset page: https://huggingface.co/datasets/Alfaxad/vector-100k.
| Author / organization | Alfaxad |
|---|---|
| License (as declared) | other |
| Downloads | 540 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 6 May 2026 |
| Last updated at source | 8 May 2026 |
Popularity, last 2 days
540 now (-10 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: VectorOS Vector 100k SimSat VLM Dataset VectorOS Vector 100k is a high-fidelity multimodal instruction dataset for fine-tuning vision-language models on geospatial epidemiology tasks. It was built for the VectorOS hackathon project and targ → VectorOS Vector 100k SimSat VLM Dataset VectorOS Vector 100k is a high-fidelity multimodal instruction dataset for fine-tuning vision-language models on geospatial epidemiology tasks. It was built for the VectorOS hackathon project and targ
Changes detected by Silytics between refreshes of the source.
More from Alfaxad
- Alfaxad/wildlife-sentinelDataset
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 Information may be incomplete or out of date.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.