Add general-VQA and spatial benchmarks (RealWorldQA, HallusionBench, V*, FREAK, MMSI, ERQA, SPAR, MindCube, EmbSpatial, OmniSpatial)

#3
by Cheng-Fu - opened
.gitattributes CHANGED
@@ -58,3 +58,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ RealWorldQA.tsv filter=lfs diff=lfs merge=lfs -text
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+ HallusionBench.tsv filter=lfs diff=lfs merge=lfs -text
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+ VStarBench.tsv filter=lfs diff=lfs merge=lfs -text
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+ MMSIBench_wo_circular.tsv filter=lfs diff=lfs merge=lfs -text
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+ ERQA.tsv filter=lfs diff=lfs merge=lfs -text
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+ SparBench.tsv filter=lfs diff=lfs merge=lfs -text
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+ SparBench_tiny.tsv filter=lfs diff=lfs merge=lfs -text
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+ MindCubeBench_raw_qa.tsv filter=lfs diff=lfs merge=lfs -text
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+ EmbSpatialBench.tsv filter=lfs diff=lfs merge=lfs -text
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FREAK_MCQ.tsv ADDED
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FREAK_VQA.tsv ADDED
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OmniSpatialBench.tsv ADDED
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README.md CHANGED
@@ -77,6 +77,45 @@ configs:
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  - config_name: WorldVQA_VDR300
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  data_files: WorldVQA_VDR300.tsv
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  sep: "\t"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # mini-vlm-toolkit evaluation benchmarks
@@ -141,10 +180,32 @@ questions we evaluate on.
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  | SimpleVQA | 2025 | images/SimpleVQA.zip |
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  | SimpleVQA_EN | 300 | images/SimpleVQA.zip |
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  | WorldVQA_VDR300 | 300 | images/WorldVQA.zip |
 
 
 
 
 
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  `SimpleVQA_EN` (300 English questions) is the default SimpleVQA evaluation split;
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  `SimpleVQA` is the full 2,025-question set and shares its image archive.
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  ## Sources, licenses and citations
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150
  This repo only re-packages existing public benchmarks; all credit goes to the
@@ -221,6 +282,43 @@ original authors, and use is subject to the original licenses/terms.
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  [moonshotai/WorldVQA](https://huggingface.co/datasets/moonshotai/WorldVQA), Apache-2.0).
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  `WorldVQA_VDR300` holds the 300 questions of the 3,000-question release that
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  Vision-DeepResearch (Huang et al., 2026, arXiv:2601.22060) evaluates on.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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225
  If you are an author of one of these datasets and would like it removed, please
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  open a discussion on this repo.
 
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  - config_name: WorldVQA_VDR300
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  data_files: WorldVQA_VDR300.tsv
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  sep: "\t"
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+ - config_name: RealWorldQA
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+ data_files: RealWorldQA.tsv
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+ sep: "\t"
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+ - config_name: HallusionBench
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+ data_files: HallusionBench.tsv
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+ sep: "\t"
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+ - config_name: VStarBench
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+ data_files: VStarBench.tsv
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+ sep: "\t"
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+ - config_name: FREAK_MCQ
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+ data_files: FREAK_MCQ.tsv
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+ sep: "\t"
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+ - config_name: FREAK_VQA
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+ data_files: FREAK_VQA.tsv
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+ sep: "\t"
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+ - config_name: MMSIBench_wo_circular
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+ data_files: MMSIBench_wo_circular.tsv
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+ sep: "\t"
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+ - config_name: ERQA
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+ data_files: ERQA.tsv
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+ sep: "\t"
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+ - config_name: SparBench
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+ data_files: SparBench.tsv
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+ sep: "\t"
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+ - config_name: SparBench_tiny
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+ data_files: SparBench_tiny.tsv
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+ sep: "\t"
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+ - config_name: MindCubeBench_raw_qa
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+ data_files: MindCubeBench_raw_qa.tsv
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+ sep: "\t"
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+ - config_name: MindCubeBench_tiny_raw_qa
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+ data_files: MindCubeBench_tiny_raw_qa.tsv
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+ sep: "\t"
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+ - config_name: EmbSpatialBench
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+ data_files: EmbSpatialBench.tsv
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+ sep: "\t"
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+ - config_name: OmniSpatialBench
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+ data_files: OmniSpatialBench.tsv
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+ sep: "\t"
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  ---
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  # mini-vlm-toolkit evaluation benchmarks
 
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  | SimpleVQA | 2025 | images/SimpleVQA.zip |
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  | SimpleVQA_EN | 300 | images/SimpleVQA.zip |
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  | WorldVQA_VDR300 | 300 | images/WorldVQA.zip |
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+ | RealWorldQA | 765 | — (images embedded in TSV) |
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+ | HallusionBench | 1129 | — (images embedded in TSV) |
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+ | VStarBench | 191 | — (images embedded in TSV) |
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+ | FREAK_MCQ | 994 | images/FREAK.zip |
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+ | FREAK_VQA | 799 | images/FREAK.zip |
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  `SimpleVQA_EN` (300 English questions) is the default SimpleVQA evaluation split;
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  `SimpleVQA` is the full 2,025-question set and shares its image archive.
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+ ## Spatial reasoning
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+
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+ | Split | Rows | Image archive |
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+ |---|---|---|
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+ | MMSIBench_wo_circular | 1000 | — (images embedded in TSV) |
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+ | ERQA | 400 | — (images embedded in TSV) |
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+ | SparBench | 7211 | — (images embedded in TSV) |
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+ | SparBench_tiny | 1000 | — (images embedded in TSV) |
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+ | MindCubeBench_raw_qa | 21154 | images/MindCube.zip |
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+ | MindCubeBench_tiny_raw_qa | 1040 | images/MindCube.zip |
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+ | EmbSpatialBench | 3640 | — (images embedded in TSV) |
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+ | OmniSpatialBench | 1533 | images/OmniSpatial.zip |
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+
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+ `OmniSpatialBench` is shared by the `OmniSpatialBench_{default,zeroshot_cot,manual_cot}`
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+ prompt variants; `SparBench_tiny` and `MindCubeBench_tiny_raw_qa` are the smaller
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+ subsets of `SparBench` and `MindCubeBench_raw_qa`.
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+
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  ## Sources, licenses and citations
210
 
211
  This repo only re-packages existing public benchmarks; all credit goes to the
 
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  [moonshotai/WorldVQA](https://huggingface.co/datasets/moonshotai/WorldVQA), Apache-2.0).
283
  `WorldVQA_VDR300` holds the 300 questions of the 3,000-question release that
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  Vision-DeepResearch (Huang et al., 2026, arXiv:2601.22060) evaluates on.
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+ - **RealWorldQA** — released by xAI with Grok-1.5 Vision, 2024
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+ ([xai-org/RealworldQA](https://huggingface.co/datasets/xai-org/RealworldQA), CC BY-ND 4.0).
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+ `RealWorldQA` is the VLMEvalKit TSV, unchanged.
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+ - **HallusionBench** — Guan et al., *HallusionBench: An Advanced Diagnostic Suite for
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+ Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models*,
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+ CVPR 2024 (arXiv:2310.14566). `HallusionBench` is the VLMEvalKit TSV, unchanged.
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+ - **V\* Bench** — Wu and Xie, *V\*: Guided Visual Search as a Core Mechanism in
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+ Multimodal LLMs*, CVPR 2024 (arXiv:2312.14135;
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+ [craigwu/vstar_bench](https://huggingface.co/datasets/craigwu/vstar_bench)).
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+ `VStarBench` is the TSV from
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+ [xjtupanda/VStar_Bench](https://huggingface.co/datasets/xjtupanda/VStar_Bench), unchanged.
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+ - **FREAK** — [hansQAQ/FREAK](https://huggingface.co/datasets/hansQAQ/FREAK) (test split).
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+ `FREAK_MCQ` holds the multiple-choice questions with options shuffled
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+ (`random.Random(42)`) so the answer is not always A; `FREAK_VQA` holds the
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+ open-ended questions.
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+
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+ ### Spatial reasoning
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+
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+ All spatial TSVs are the versions from the EASI leaderboard
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+ ([lmms-lab-si/EASI-Leaderboard-Data](https://huggingface.co/datasets/lmms-lab-si/EASI-Leaderboard-Data),
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+ Apache-2.0), unchanged. MindCube and OmniSpatial images are copied from the original
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+ releases, keeping only the images the TSVs use.
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+
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+ - **MMSI-Bench** — *MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence*
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+ (arXiv:2505.23764; [RunsenXu/MMSI-Bench](https://huggingface.co/datasets/RunsenXu/MMSI-Bench), CC BY 4.0).
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+ - **ERQA** — Gemini Robotics Team, *Gemini Robotics: Bringing AI into the Physical World*
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+ (arXiv:2503.20020).
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+ - **SPAR-Bench** — *From Flatland to Space: Teaching Vision-Language Models to Perceive
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+ and Reason in 3D* (arXiv:2503.22976).
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+ - **MindCube** — *Spatial Mental Modeling from Limited Views* (arXiv:2506.21458;
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+ [MLL-Lab/MindCube](https://huggingface.co/datasets/MLL-Lab/MindCube), MIT).
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+ - **EmbSpatial-Bench** — *EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied
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+ Tasks with Large Vision-Language Models* (arXiv:2406.05756;
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+ [Phineas476/EmbSpatial-Bench](https://huggingface.co/datasets/Phineas476/EmbSpatial-Bench), CC BY 4.0).
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+ - **OmniSpatial** — *OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for
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+ Vision Language Models* (arXiv:2506.03135;
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+ [qizekun/OmniSpatial](https://huggingface.co/datasets/qizekun/OmniSpatial), Apache-2.0).
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323
  If you are an author of one of these datasets and would like it removed, please
324
  open a discussion on this repo.
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