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+ # GenderVL-Bench
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+ **GenderVL-Bench** is a compact vision-language benchmark for evaluating how Vision-Language Models (VLMs) interpret **gender-related representations across different occupations**.
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+
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+ ### Dataset
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+
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+ * **108 images**
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+ * **12 occupations**
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+ * **9 images per occupation**
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+ * **Format:** JPEG / ImageFolder
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+ * **Split:** `train`
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+
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+ ### Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("suparnojit/GenderVL-Bench")
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+ ```
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+
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+ ### Citation
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+
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+ ```bibtex
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+ @dataset{sarkar2026gendervlbench,
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+ author = {Sarkar, Suparnojit},
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+ title = {GenderVL-Bench},
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+ year = {2026},
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+ publisher = {Hugging Face},
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+ url = {https://huggingface.co/datasets/suparnojit/GenderVL-Bench}
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+ }
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+ ```