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RCLIP-Bench – Dataset by RISys-Lab | AlphaNeural AI

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RISys-Lab/
RCLIP-Bench

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cc-by-nc-sa-4.0

optimized-parquet

compositionality

visual-reasoning

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RCLIP-Bench

RCLIP-Bench contains three 5k-image splits for evaluating image-text reasoning and retrieval for CLIP style models.

Resources

GitHub: RISys-Lab/ReasonCLIP Paper: arXiv:2606.26794

Usage

from datasets import load_dataset

v1 = load_dataset("RISys-Lab/RCLIP-Bench", split="v1") v2 = load_dataset("RISys-Lab/RCLIP-Bench", split="v2") v3 = load_dataset("RISys-Lab/RCLIP-Bench", split="v3")

Each row contains a PIL-decoded image, the original… See the full description on the dataset page: https://huggingface.co/datasets/RISys-Lab/RCLIP-Bench.