README.md

metadata

license: cc-by-4.0
language:
  - en
pretty_name: Multimodal Document Retrieval Baseline Synthetic Evaluation Set
size_categories:
  - n<1K
task_categories:
  - visual-document-retrieval
tags:
  - synthetic
  - multimodal-ai
  - evaluation
  - visual-document-retrieval
  - document-question-answering
  - image-to-text
  - feature-extraction
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.jsonl
      - split: test
        path: data/test.jsonl

Multimodal Document Retrieval Baseline Synthetic Dataset

Summary

This dataset contains 14 training examples and 4 held-out examples for Business documents contain meaning in text, tables, layout, and imagery that text-only retrieval can miss.

Every record is synthetic and includes:

• input: query, event, or feature description
• label: expected class, route, relation, or evidence category
• context: synthetic supporting context
• source: fictional source identifier
• variant: generation pattern
• synthetic: always true

Uses

• Reproducible unit and integration tests
• Baseline model training
• Evaluation harness development
• Schema and architecture demonstrations

Limitations

The starter dataset contains synthetic textual modality descriptors, not sensitive scanned documents.

This dataset does not represent real users, patients, customers, production traffic, or licensed media. It must not be presented as real-world evidence.

Related Model

RKB109/multimodal-document-retrieval-20260723-model