# Visual Document Retrieval Datasets: AI Datasets Source: https://savrn.com/datasets/tasks/visual-document-retrieval Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- SAVRN Model Hub · Datasets by Task # Visual Document Retrieval Datasets 7 open-weight visual document retrieval datasets in the SAVRN Model Hub, with Massive Text Embedding Benchmark publishing the most. 7Datasets 1Publishers 1Licenses ## Most Downloaded | Dataset | Publisher | License | Monthly downloads | | --- | --- | --- | --- | | [Vidore3EnergyBGEm3Reranking.v2](https://savrn.com/datasets/vidore3energybgem3reranking-v2) | Massive Text Embedding Benchmark | cc-by-4.0 | — | | [Vidore3HrBGEm3Reranking.v2](https://savrn.com/datasets/vidore3hrbgem3reranking-v2) | Massive Text Embedding Benchmark | cc-by-4.0 | — | | [Vidore3ComputerScienceBGEm3Reranking.v2](https://savrn.com/datasets/vidore3computersciencebgem3reranking-v2) | Massive Text Embedding Benchmark | cc-by-4.0 | — | | [Vidore3PharmaceuticalsBGEm3Reranking.v2](https://savrn.com/datasets/vidore3pharmaceuticalsbgem3reranking-v2) | Massive Text Embedding Benchmark | cc-by-4.0 | — | | [Vidore3IndustrialBGEm3Reranking.v2](https://savrn.com/datasets/vidore3industrialbgem3reranking-v2) | Massive Text Embedding Benchmark | cc-by-4.0 | — | | [Vidore3FinanceFrBGEm3Reranking.v2](https://savrn.com/datasets/vidore3financefrbgem3reranking-v2) | Massive Text Embedding Benchmark | cc-by-4.0 | — | | [Vidore3FinanceEnBGEm3Reranking.v2](https://savrn.com/datasets/vidore3financeenbgem3reranking-v2) | Massive Text Embedding Benchmark | cc-by-4.0 | — | ## Licenses | License | Datasets | Commercial use | | --- | --- | --- | | cc-by-4.0 | 7 | Yes | ## Who Publishes Them | Publisher | Datasets | | --- | --- | | [Massive Text Embedding Benchmark](https://savrn.com/model-publishers/mteb) | 7 | ## All 7 Datasets Dataset · Visual document retrieval ### [Vidore3ComputerScienceBGEm3Reranking.v2](https://savrn.com/datasets/vidore3computersciencebgem3reranking-v2) [Massive Text Embedding Benchmark](https://savrn.com/model-publishers/mteb) This task is used to evaluate the reranking performance for visual document retrieval. The candidates for reranking are the top-50 pages retrieved by the BAAI/bge-m3 model. This dataset, Computer Science, is a corpus of textbooks from the openstacks website, intended for long-document understanding tasks. Original queries were created in english, then translated to french, german, italian, portuguese and spanish.This version add the OCR'ed markdown to allow for comparison across image-text, image-only and text-only models. You can evaluate an embedding model on this dataset using the following code: To learn more about how to run models on mteb task check out the GitHub repository. If you… Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/vidore3computersciencebgem3reranking-v2) Dataset · Visual document retrieval ### [Vidore3EnergyBGEm3Reranking.v2](https://savrn.com/datasets/vidore3energybgem3reranking-v2) [Massive Text Embedding Benchmark](https://savrn.com/model-publishers/mteb) This task is used to evaluate the reranking performance for visual document retrieval. The candidates for reranking are the top-50 pages retrieved by the BAAI/bge-m3 model. This dataset, Energy Fr, is a corpus of reports on energy supply in europe, intended for complex-document understanding tasks. Original queries were created in french, then translated to english, german, italian, portuguese and spanish.This version add the OCR'ed markdown to allow for comparison across image-text, image-only and text-only models. You can evaluate an embedding model on this dataset using the following code: To learn more about how to run models on mteb task check out the GitHub repository. If you use this… Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/vidore3energybgem3reranking-v2) Dataset · Visual document retrieval ### [Vidore3FinanceEnBGEm3Reranking.v2](https://savrn.com/datasets/vidore3financeenbgem3reranking-v2) [Massive Text Embedding Benchmark](https://savrn.com/model-publishers/mteb) This task is used to evaluate the reranking performance for visual document retrieval. The candidates for reranking are the top-50 pages retrieved by the BAAI/bge-m3 model. This task, Finance - EN, is a corpus of reports from american banking companies, intended for long-document understanding tasks. Original queries were created in english, then translated to french, german, italian, portuguese and spanish.This version add the OCR'ed markdown to allow for comparison across image-text, image-only and text-only models. You can evaluate an embedding model on this dataset using the following code: To learn more about how to run models on mteb task check out the GitHub repository. If you use… Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/vidore3financeenbgem3reranking-v2) Dataset · Visual document retrieval ### [Vidore3FinanceFrBGEm3Reranking.v2](https://savrn.com/datasets/vidore3financefrbgem3reranking-v2) [Massive Text Embedding Benchmark](https://savrn.com/model-publishers/mteb) This task is used to evaluate the reranking performance for visual document retrieval. The candidates for reranking are the top-50 pages retrieved by the BAAI/bge-m3 model. This task, Finance - FR, is a corpus of reports from french companies in the luxury domain, intended for long-document understanding tasks. Original queries were created in french, then translated to english, german, italian, portuguese and spanish.This version add the OCR'ed markdown to allow for comparison across image-text, image-only and text-only models. You can evaluate an embedding model on this dataset using the following code: To learn more about how to run models on mteb task check out the GitHub repository. If… Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/vidore3financefrbgem3reranking-v2) Dataset · Visual document retrieval ### [Vidore3HrBGEm3Reranking.v2](https://savrn.com/datasets/vidore3hrbgem3reranking-v2) [Massive Text Embedding Benchmark](https://savrn.com/model-publishers/mteb) This task is used to evaluate the reranking performance for visual document retrieval. The candidates for reranking are the top-50 pages retrieved by the BAAI/bge-m3 model. This dataset, HR, is a corpus of reports released by the european union, intended for complex-document understanding tasks. Original queries were created in english, then translated to french, german, italian, portuguese and spanish.This version add the OCR'ed markdown to allow for comparison across image-text, image-only and text-only models. You can evaluate an embedding model on this dataset using the following code: To learn more about how to run models on mteb task check out the GitHub repository. If you use this… Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/vidore3hrbgem3reranking-v2) Dataset · Visual document retrieval ### [Vidore3IndustrialBGEm3Reranking.v2](https://savrn.com/datasets/vidore3industrialbgem3reranking-v2) [Massive Text Embedding Benchmark](https://savrn.com/model-publishers/mteb) This task is used to evaluate the reranking performance for visual document retrieval. The candidates for reranking are the top-50 pages retrieved by the BAAI/bge-m3 model. This dataset, Industrial reports, is a corpus of technical documents on military aircraft (fueling, mechanics...), intended for complex-document understanding tasks. Original queries were created in english, then translated to french, german, italian, portuguese and spanish.This version add the OCR'ed markdown to allow for comparison across image-text, image-only and text-only models. You can evaluate an embedding model on this dataset using the following code: To learn more about how to run models on mteb task check out… Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/vidore3industrialbgem3reranking-v2) Dataset · Visual document retrieval ### [Vidore3PharmaceuticalsBGEm3Reranking.v2](https://savrn.com/datasets/vidore3pharmaceuticalsbgem3reranking-v2) [Massive Text Embedding Benchmark](https://savrn.com/model-publishers/mteb) This task is used to evaluate the reranking performance for visual document retrieval. The candidates for reranking are the top-50 pages retrieved by the BAAI/bge-m3 model. This dataset, Pharmaceutical, is a corpus of slides from the FDA, intended for long-document understanding tasks. Original queries were created in english, then translated to french, german, italian, portuguese and spanish.This version add the OCR'ed markdown to allow for comparison across image-text, image-only and text-only models. You can evaluate an embedding model on this dataset using the following code: To learn more about how to run models on mteb task check out the GitHub repository. If you use this dataset… Publicly accessible cc-by-4.0 [View dataset](https://savrn.com/datasets/vidore3pharmaceuticalsbgem3reranking-v2) ## Other Tasks - [Text Generation](https://savrn.com/datasets/tasks/text-generation) 96 - [Robotics](https://savrn.com/datasets/tasks/robotics) 82 - [Text Classification](https://savrn.com/datasets/tasks/text-classification) 38 - [Other](https://savrn.com/datasets/tasks/other) 34 - [Text Retrieval](https://savrn.com/datasets/tasks/text-retrieval) 33 - [Question Answering](https://savrn.com/datasets/tasks/question-answering) 31 - [Speech Recognition](https://savrn.com/datasets/tasks/speech-recognition) 23 - [Time Series Forecasting](https://savrn.com/datasets/tasks/time-series-forecasting) 18 - [Image Classification](https://savrn.com/datasets/tasks/image-classification) 15 - [Image to Text](https://savrn.com/datasets/tasks/image-to-text) 14 - [Tabular Classification](https://savrn.com/datasets/tasks/tabular-classification) 12 - [Visual Question Answering](https://savrn.com/datasets/tasks/visual-question-answering) 12 [See all](https://savrn.com/datasets/tasks)