AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Claire Radar

MapReason-OSM

MapReason-OSM evaluates vision-language models on graph-verifiable mobility decisions from self-rendered OpenStreetMap panels. It covers 12 tasks in routing, facility location, and visual disambiguation, with structured outputs scored against hidden oracles for validity, legality, optimality, and constraint satisfaction, plus cross-zoom consistency.

Evidence available for this benchmark

Numeric results have not been collected for this source record. Use the paper, code or dataset below to check the task and experiments; this does not imply that the original work contains no results.

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Cited documents and dates (1)

Catalog collected on 2026-10-14; resources and fields reflect that saved source.

Recorded attention

Observed on: 2026-10-12

GitHub stars
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Hugging Face paper upvotes
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Star change · 30 days before observation
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vi-sri/mapreason-osm · View source snapshot

Dated attention observations, not live counts or benchmark scores.

Evaluation context and evidence

Source
Claire Radar
Publisher
Not recorded
Benchmark release
2026-06-21
Collected
2026-10-14
Modality
Not recorded

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Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.