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Imaging · dataset · 2026

LME-Bench

Listed in Hugging Face Datasets

Description

LME-Bench Long-horizon Multi-turn image Editing benchmark, introduced in MT-OPSD: On-Policy Self-Distillation for Multi-Turn Image Editing. Existing multi-turn editing benchmarks stop at five turns. LME-Bench has 100 ten-turn sessions in which every instruction is applied to the previous turn's output, to measure whether an editor keeps following instructions and keeps its images intact over long horizons. 100 source images, 1024×1024, generated with Z-Image-Turbo; 10… See the full description on the dataset page: huggingface.co/datasets/metazlb/LME-Bench.

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Where it is published

Catalogue records · 1

Topics

Stated by source
image · image to image · text
Inferred from text
Image 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsmetazlb/LME-Bench7 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:imagesource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:image-to-imagesource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0