Dataset · Hugging Face

HexQuant/vdr-multilingual-train

Name: vdr-multilingual-train
Creator: HexQuant
License: apache-2.0
Keywords: multilinguality:multilingual, language:de, language:it, language:fr, language:es, language:en, license:apache-2.0, size_categories:100K<n<1M, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant

Multilingual Visual Document Retrieval Dataset This dataset consists of 500k multilingual query image samples, collected and generated from scratch using public internet pdfs. The queries are synthetic and generated using VLMs (gemini-1.5-pro and Qwen2-VL-72B). It was used to train the vdr-2b-multi-v1 retrieval multimodal, multilingual embedding model. How it was created This is the entire data pipeline used to create the Italian subset of this dataset. Each… See the full description on the dataset page: https://huggingface.co/datasets/HexQuant/vdr-multilingual-train.

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Author / organization	HexQuant
License (as declared)	apache-2.0
Downloads	169 (as reported by Hugging Face)
Likes	0
Created	22 December 2025
Last updated at source	22 December 2025

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16 Oct 2026 Description: Multilingual Visual Document Retrieval Dataset This dataset consists of 500k multilingual query image samples, collected and generated from scratch using public internet pdfs. The queries are synthetic and generated using VLMs (gemini-1.5-p → Multilingual Visual Document Retrieval Dataset This dataset consists of 500k multilingual query image samples, collected and generated from scratch using public internet pdfs. The queries are synthetic and generated using VLMs (gemini-1.5-p

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