Dataset · Hugging Face

llamaindex/vdr-multilingual-train

Name: vdr-multilingual-train
Creator: llamaindex
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:mlcroissant, library:polars

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/llamaindex/vdr-multilingual-train.

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Author / organization	llamaindex
License (as declared)	apache-2.0
Downloads	1.9K (as reported by Hugging Face)
Likes	32
Created	8 January 2025
Last updated at source	10 January 2025

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Connected in the knowledge graph

mradermacher/vdr-2b-multi-v1-GGUFModel · used to train
DataScience-UIBK/Argus-Colqwen3.5-4b-v0-bf16Model · used to train
nomic-ai/colnomic-embed-multimodal-7bModel · used to train
llamaindex/vdr-2b-multi-v1Model · used to train
brishen/colnomic-embed-multimodal-7b-GGUFModel · used to train
nanovdr/NanoVDR-Q-DistilBERT-Qwen3VL2B-2048-MLModel · used to train
DataScience-UIBK/Argus-Colqwen3.5-9b-v0-bf16Model · used to train
DataScience-UIBK/Argus-Colqwen3.5-9b-v0Model · used to train
Metric-AI/colqwen2.5-3b-multilingualModel · used to train
VAGOsolutions/SauerkrautLM-ColQwen3-4b-v0.1Model · used to train
VAGOsolutions/SauerkrautLM-ColQwen3-2b-v0.1Model · used to train
tsystems/colqwen2.5-3b-multilingual-v1.0Model · used to train
Metric-AI/ColQwen2.5-3b-multilingual-v1.0Model · used to train
DataScience-UIBK/Argus-Colqwen3.5-4b-v0Model · used to train
DataScience-UIBK/Argus-Colqwen3.5-2b-v0Model · used to train
webAI-Official/webAI-ColVec1.1-4bModel · used to train
DataScience-UIBK/Argus-Colqwen3.5-2b-v0-bf16Model · used to train
webAI-Official/webAI-ColVec1.1-8bModel · used to train
mradermacher/vdr-2b-v1-i1-GGUFModel · used to train
athrael-soju/colqwen3.5-4.5B-v3Model · used to train
nomic-ai/colnomic-embed-multimodal-3bModel · used to train
Metric-AI/ColQwen2.5-7b-multilingual-v1.0Model · used to train
mradermacher/vdr-2b-multi-v1-i1-GGUFModel · used to train

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Recent changes

17 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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