Dataset · Hugging Face

whybe-choi/EDIRIT2IRetrieval

Name: EDIRIT2IRetrieval
Creator: whybe-choi
License: mit
Keywords: task_categories:other, task_categories:image-to-image, task_categories:image-to-text, task_categories:text-to-image, task_categories:image-text-to-text, annotations_creators:derived, multilinguality:monolingual, source_datasets:whybe-choi/EDIRIT2IRetrieval, language:eng, license:mit, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, library:datasets

EDIRIT2IRetrieval An MTEB dataset Massive Text Embedding Benchmark Retrieve edited images from a reference image and textual modification instruction using the streamlined EDIR benchmark. Task category Any2AnyRetrieval (image+text-to-image) Domains Scene, Constructed Reference Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing Source datasets: whybe-choi/EDIRIT2IRetrieval How to evaluate on this task You… See the full description on the dataset page: https://huggingface.co/datasets/whybe-choi/EDIRIT2IRetrieval.

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Author / organization	whybe-choi
License (as declared)	mit
Downloads	129 (as reported by Hugging Face)
Likes	0
Created	19 August 2026
Last updated at source	19 August 2026

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