etri-vilab/MultihopSpatial
[ECCV 2026] MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Models Project Page | Paper | Model Overview MultihopSpatial is a benchmark designed to evaluate whether vision-language models (VLMs) demonstrate robustness in multi-hop compositional spatial reasoning. Unlike existing benchmarks that only assess single-step spatial relations, MultihopSpatial features queries with 1 to 3 reasoning hops paired with… See the full description on the dataset page: https://huggingface.co/datasets/etri-vilab/MultihopSpatial.
Update README.md
docs: add Data Formats section (raw/parquet/tsv) and TSV to structure
Add VLMEvalKit TSV (raw-bytes images, base64) for MultihopSpatial
Remove old benchmark/ parquet (moved to parquet/)
Point both configs to parquet/ (default=train+test, benchmark=test)
Add train parquet (image-embedded) so both configs are parquet
Move test parquet to parquet/ dir
Order benchmark (parquet) config first so datasets infers the parquet builder
Add benchmark config (image-embedded parquet) to dataset card
Add datasets-native benchmark config (image-embedded parquet) for eval harnesses
Update README.md
Update README.md
Update README.md
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Add files using upload-large-folder tool
Add files using upload-large-folder tool
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Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
initial commit