StreetVision-10K

Each sample contains:

• A system prompt instructing the model to act as an OSINT/geospatial expert
• A user message with a street-level photo and the instruction to determine coordinates
• An assistant response with ground-truth coordinates in <direct_lon_lat_output>longitude,latitude</direct_lon_lat_output> format

Format

Each line is a JSON array of ChatML messages:

[
  {"role": "system", "content": "..."},
  {"role": "user", "content": [
    {"type": "text", "text": "Determine the exact coordinates of this location based on visual cues."},
    {"type": "image", "image": "images/3859149887465501.jpg"}
  ]},
  {"role": "assistant", "content": "<direct_lon_lat_output>-0.1276,51.5074</direct_lon_lat_output>"}
]

Loading

from datasets import load_dataset
ds = load_dataset("mishl/StreetVision-10K", split="train")