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Datasets:
etri-vilab
/
MultihopSpatial

Tasks:
Visual Question Answering
Image-Text-to-Text
Modalities:
Image
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
Tags:
spatial-reasoning
multi-hop
grounding
vision-language
benchmark
VQA
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
MultihopSpatial

Commit History

  1. Update README.md

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  1. docs: add Data Formats section (raw/parquet/tsv) and TSV to structure

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  2. Add VLMEvalKit TSV (raw-bytes images, base64) for MultihopSpatial

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  1. Remove old benchmark/ parquet (moved to parquet/)

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  2. Point both configs to parquet/ (default=train+test, benchmark=test)

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  3. Add train parquet (image-embedded) so both configs are parquet

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  4. Move test parquet to parquet/ dir

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  5. Order benchmark (parquet) config first so datasets infers the parquet builder

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  6. Add benchmark config (image-embedded parquet) to dataset card

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  7. Add datasets-native benchmark config (image-embedded parquet) for eval harnesses

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  1. Update README.md

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  1. Update README.md

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  2. Update README.md

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  38. initial commit

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