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Dataset · Hugging Face

Psychias/ocr-mldr

OCR-MLDR An OCR-degraded version of the Multi Long Document Retrieval (MLDR) benchmark, designed to evaluate embedding models on noisy, OCR-like text with long documents. Dataset Description A 2,000-document subsample per language was drawn from mteb/MultiLongDocRetrieval (test split). Each passage and query was rendered as a PDF at a specific DPI / font-size setting and re-extracted via OCR using the ocr-robust-multilingual-embeddings OCR simulator to introduce… See the full description on the dataset page: https://huggingface.co/datasets/Psychias/ocr-mldr.

Author / organizationPsychias
Downloads382 (as reported by Hugging Face)
Likes0
Created23 April 2026
Last updated at source27 April 2026
ocrinformation-retrievalnoisy-textmldrbenchmarkocr-simulation
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  • 16 Oct 2026 Description: OCR-MLDR An OCR-degraded version of the Multi Long Document Retrieval (MLDR) benchmark, designed to evaluate embedding models on noisy, OCR-like text with long documents. Dataset Description A 2,000-document subsample per language was drawn → OCR-MLDR An OCR-degraded version of the Multi Long Document Retrieval (MLDR) benchmark, designed to evaluate embedding models on noisy, OCR-like text with long documents. Dataset Description A 2,000-document subsample per language was drawn

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