RKB109/multimodal-document-retrieval-20260723-model
Visual Document Retrieval • Updated
Datasets:
Tasks:
Visual Document Retrieval
Modalities:
Text
Formats:
json
Languages:
English
Size:
< 1K
Tags:
Synthetic
multimodal-ai
evaluation
visual-document-retrieval
document-question-answering
image-to-text
License:
id stringlengths 33 33 | input stringlengths 39 73 | label stringclasses 3
values | context stringclasses 6
values | source stringclasses 6
values | variant stringclasses 3
values | synthetic bool 1
class |
|---|---|---|---|---|---|---|
multimodal-document-retrieval-1-1 | Find the invoice with a shipping surcharge table | invoice | OCR total 1480; table shipping surcharge 80; image company seal. | doc-01 | direct | true |
multimodal-document-retrieval-1-2 | In an operations review, Find the invoice with a shipping surcharge table | invoice | OCR total 1480; table shipping surcharge 80; image company seal. | doc-01 | operations | true |
multimodal-document-retrieval-1-3 | For an evaluation case, Find the invoice with a shipping surcharge table | invoice | OCR total 1480; table shipping surcharge 80; image company seal. | doc-01 | evaluation | true |
multimodal-document-retrieval-2-2 | In an operations review, Locate the architecture diagram showing a queue | technical-diagram | Caption service diagram; labels producer queue consumer. | doc-02 | operations | true |
multimodal-document-retrieval-2-3 | For an evaluation case, Locate the architecture diagram showing a queue | technical-diagram | Caption service diagram; labels producer queue consumer. | doc-02 | evaluation | true |
multimodal-document-retrieval-3-1 | Find the signed privacy exception request | policy-form | OCR privacy exception; layout signature block approved. | doc-03 | direct | true |
multimodal-document-retrieval-3-3 | For an evaluation case, Find the signed privacy exception request | policy-form | OCR privacy exception; layout signature block approved. | doc-03 | evaluation | true |
multimodal-document-retrieval-4-1 | Which invoice contains a tax adjustment? | invoice | OCR invoice 184; table subtotal tax adjustment final total. | doc-04 | direct | true |
multimodal-document-retrieval-4-2 | In an operations review, Which invoice contains a tax adjustment? | invoice | OCR invoice 184; table subtotal tax adjustment final total. | doc-04 | operations | true |
multimodal-document-retrieval-5-1 | Show the network diagram with a gateway | technical-diagram | Caption network topology; labels client gateway service. | doc-05 | direct | true |
multimodal-document-retrieval-5-2 | In an operations review, Show the network diagram with a gateway | technical-diagram | Caption network topology; labels client gateway service. | doc-05 | operations | true |
multimodal-document-retrieval-5-3 | For an evaluation case, Show the network diagram with a gateway | technical-diagram | Caption network topology; labels client gateway service. | doc-05 | evaluation | true |
multimodal-document-retrieval-6-2 | In an operations review, Which form includes retention approval? | policy-form | OCR retention request; checkbox approved; signature present. | doc-06 | operations | true |
multimodal-document-retrieval-6-3 | For an evaluation case, Which form includes retention approval? | policy-form | OCR retention request; checkbox approved; signature present. | doc-06 | evaluation | true |
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 descriptionlabel: expected class, route, relation, or evidence categorycontext: synthetic supporting contextsource: fictional source identifiervariant: generation patternsynthetic: alwaystrue
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.
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