Datasets:
Tasks:
Visual Question Answering
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
ArXiv:
License:
Add paper and code links
#2
by nielsr HF Staff - opened
README.md
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---
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license: other
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task_categories:
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- visual-question-answering
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language:
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- en
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tags:
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- multimodal
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- vision-language
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- on-policy-distillation
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- dual-world
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- benchmark
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size_categories:
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- 1K<n<10K
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---
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# CWBench
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A **dual-world** VQA benchmark and training set for cross-world aligned
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distillation (CWAD) of vision-language models.
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@@ -98,4 +101,4 @@ before publishing or reusing this dataset.** The `license` field above is set to
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The `extra_info.dataset4_source_index` in `train.jsonl` and `source_idx` in
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`test.jsonl` come from **different index namespaces** and must not be joined
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against each other.
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---
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language:
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- en
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license: other
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size_categories:
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- 1K<n<10K
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task_categories:
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- visual-question-answering
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tags:
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- multimodal
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- vision-language
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- on-policy-distillation
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- dual-world
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- benchmark
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---
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# CWBench
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Paper: [Distill the Visual Evidence, Not Just the Answer: Cross-World On-Policy Distillation for Vision-Language Models](https://huggingface.co/papers/2609.38777)
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Code: [https://github.com/baokou-fw2/CWAD](https://github.com/baokou-fw2/CWAD)
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A **dual-world** VQA benchmark and training set for cross-world aligned
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distillation (CWAD) of vision-language models.
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The `extra_info.dataset4_source_index` in `train.jsonl` and `source_idx` in
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`test.jsonl` come from **different index namespaces** and must not be joined
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against each other.
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