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Datasets:
racineai
/
OGC_ibm-research_REAL-MM-RAG

Tasks:
Visual Document Retrieval
Text Retrieval
Modalities:
Image
Text
Formats:
parquet
Languages:
English
Size:
100K - 1M
Tags:
DSE
RAG
Retrieval
ibm
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
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metadata
license: cdla-permissive-2.0
language:
  - en
tags:
  - DSE
  - RAG
  - Retrieval
  - ibm
task_categories:
  - visual-document-retrieval
  - text-retrieval

OGC_ibm-research_REAL-MM-RAG - Overview

Dataset Summary

OGC_ibm-research_REAL-MM-RAG is a multimodal dataset that combines text and image data, and support tasks such as DSE retrieval (RAG).

Dataset Creation

This dataset is a merge and shuffle of the following datasets in the OGC format:

  • ibm-research/REAL-MM-RAG_TechSlides
  • ibm-research/REAL-MM-RAG_TechReport
  • ibm-research/REAL-MM-RAG_FinTabTrainSet
  • ibm-research/REAL-MM-RAG_FinTabTrainSet_rephrased
  • ibm-research/REAL-MM-RAG_FinSlides
  • ibm-research/REAL-MM-RAG_FinReport

Rows with glitched or absent query or image were filtered out.

Dataset Curators

  • Léo Appourchaux