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Dataset Specification
Overview
Dataset name: Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark
Target Hugging Face repository: COMHIS/eacl26-detect-latin
Source record: https://doi.org/10.5281/zenodo.18377924
Source code: https://github.com/COMHIS/EACL26-detect-latin
Paper: https://aclanthology.org/2026.eacl-long.245/
Paper DOI: https://doi.org/10.18653/v1/2026.eacl-long.245
License: CC BY-NC 4.0
The dataset contains 724 annotated historical document pages. 594 pages contain Latin and 130 pages do not. The data is designed for page-level Latin detection and Latin segment extraction from OCR text and page images.
Source Files
The Zenodo record contains:
| File | Size | Checksum |
|---|---|---|
latin_annotation_final.json |
6,176,204 bytes | md5:f7dd7b59c2ba90832bfa7f5e2fc16976 |
images.zip |
52,835,690 bytes | md5:a1f4d0e1ed78561e137ae276d75a89ff |
Recommended Hugging Face Layout
README.md
DATASET_SPEC.md
data/
pages.jsonl
latin_annotation_final.json
images.zip
pages.jsonl is the normalized, viewer-friendly file. latin_annotation_final.json preserves the original annotation export. images.zip preserves the original image bundle.
Normalized Record Schema
Each line in data/pages.jsonl is a JSON object:
| Field | Type | Description |
|---|---|---|
page_id |
string | Stable page id, <ecco_id>_<page_number>. |
ecco_id |
string | ECCO source identifier. |
page_number |
integer or string | Page number from the source item. |
image_path |
string | Relative image path, e.g. images/0213801900_151.jpg. |
has_latin |
boolean | true when page_latin is non-empty. |
page_text |
string | Original OCR text from the pageText field. |
page_text_clean |
string | LLM-corrected OCR text from the pageTextClean field. |
page_latin |
string | Latin text associated with the page. |
latin_regions |
list[object] | Bounding boxes for Latin regions. |
latin_spans |
list[object] | Text-span labels for Latin segments. |
latin_regions
Each region object has:
| Field | Type | Description |
|---|---|---|
x |
float | Left coordinate as percentage of image width. |
y |
float | Top coordinate as percentage of image height. |
width |
float | Box width as percentage of image width. |
height |
float | Box height as percentage of image height. |
rotation |
float | Rotation value from the annotation tool. |
labels |
list[string] | Region labels. All released region annotations use ["Latin"]. |
original_width |
integer | Original image width in pixels. |
original_height |
integer | Original image height in pixels. |
latin_spans
Each span object has:
| Field | Type | Description |
|---|---|---|
start |
integer | Start character offset in the annotated text field. |
end |
integer | End character offset in the annotated text field. |
text |
string | Annotated Latin text span. |
labels |
list[string] | Fine-grained Latin use labels. |
Observed Label Distribution
Text-span labels:
| Label | Count |
|---|---|
| Direct Quote | 389 |
| Independent | 230 |
| Footnote | 192 |
| Code-switching | 183 |
| Side-note | 81 |
| Bilingual | 55 |
| Emblematic | 38 |
| Legal | 31 |
| Indices and Catalogs | 30 |
| Ecclesiastical | 23 |
| Tables and Charts | 10 |
| Dictionary | 9 |
| Unlocatable | 5 |
The original export contains 2,310 Latin bounding-box annotations.
Splits
No train/validation/test split is included in the released dataset. The release contains all 724 annotated pages as a single benchmark set. Any derived split should be reported by downstream users.
Known Caveats
- OCR text is noisy, reflecting the historical print source and OCR pipeline.
- Image paths in the JSON are relative to the extracted
images/directory. - The data is licensed for non-commercial use only.