eacl26-detect-latin / DATASET_SPEC.md
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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The dataset contains 724 annotated historical document pages. 594 pages contain Latin and 130 pages do not.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.