Datasetpublic

mishl/StreetVision-10K

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": [… See the full description on the dataset page: https://huggingface.co/datasets/mishl/StreetVision-10K.

sourceHugging Faceodblupdated 6mo agoView on Hugging Face

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Dataset Card

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:

json

[
  {"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

python

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