jiafr1802/SpotSFT-200k
SpotSFT-200k: Visual QA Dataset for Geo-localization Alignment Project Page Dataset Description SpotSFT-200k is a large-scale multimodal instruction-tuning dataset comprising approximately 200,000 image-text pairs. It is designed for the Supervised Fine-Tuning (SFT) stage of the SpotAgent framework (Stage 1). Unlike the subsequent SpotAgenticCoT dataset which focuses on complex tool use and reasoning, SpotSFT-200k aims to: Inject Basic World Knowledge: Align… See the full description on the dataset page: https://huggingface.co/datasets/jiafr1802/SpotSFT-200k.
| Author / organization | jiafr1802 |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 153 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 2 March 2026 |
| Last updated at source | 4 March 2026 |
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- 16 Oct 2026 Description: SpotSFT-200k: Visual QA Dataset for Geo-localization Alignment Project Page Dataset Description SpotSFT-200k is a large-scale multimodal instruction-tuning dataset comprising approximately 200,000 image-text pairs. It is designed for the Su → SpotSFT-200k: Visual QA Dataset for Geo-localization Alignment Project Page Dataset Description SpotSFT-200k is a large-scale multimodal instruction-tuning dataset comprising approximately 200,000 image-text pairs. It is designed for the Su
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