Add dataset card
#1
by davanstrien HF Staff - opened
README.md
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---
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dataset_info:
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features:
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- name: image
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- split: train
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path: data/train-*
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---
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---
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+
license: cc-by-4.0
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language:
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- la
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- fr
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task_categories:
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- object-detection
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- image-segmentation
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size_categories:
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- n<1K
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pretty_name: HORAE-LSv2 — Books of Hours layout
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tags:
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- glam
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- manuscripts
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- document-layout-analysis
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- medieval
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- iiif
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dataset_info:
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features:
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- name: image
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- split: train
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path: data/train-*
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---
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# HORAE-LSv2 — layout segmentation for Books of Hours
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555 annotated page images from 334 medieval and early-modern Books of Hours, manuscript and printed,
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marked up for page layout analysis. Created by the HORAE project at the [Institut de Recherche et
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d'Histoire des Textes](https://www.irht.cnrs.fr/) (IRHT-CNRS) with [Teklia](https://teklia.com/), and
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deposited on Zenodo in August 2025 as HORAE-LSv2 ([10.5281/zenodo.16919911](https://doi.org/10.5281/zenodo.16919911)).
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This repository is a format conversion of that deposit. Same images, same annotations, repackaged so
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it loads with `datasets` instead of requiring four zip files and three text encodings.
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## Two annotation systems over the same pages
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The deposit ships two independent markup schemes for the same 555 pages, and they do not map onto each
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other. Both are carried here rather than picking one.
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| Column | Scheme | Geometry | Count |
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|---|---|---|---|
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| `objects` | 14-class YOLO taxonomy | bounding boxes, COCO `[x, y, w, h]` in absolute pixels | 22,878 |
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| `regions` | 7-type Arkindex taxonomy plus subclasses | polygons | 22,964 |
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`regions` types and their subclasses:
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| Type | Count | Subclasses |
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|---|---|---|
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| text_line | 13,879 | calendar |
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| initial | 3,542 | simple_initial, decorated_initial, historiated_initial |
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| decoration | 2,412 | line_filler, ornament, music_notation, decorated_border, illustrated_border |
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| rubrication | 1,224 | red, blue, gold |
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| text | 896 | border_text |
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| single_page | 852 | calendar |
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| miniature | 159 | — |
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`text_line` is 60% of the polygon annotations. Filter it out if you are after decorative or structural
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elements rather than lines.
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## Structure
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| Field | Type | Notes |
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|---|---|---|
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| `image` | image | JPEG at maximum available IIIF resolution |
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| `file_name` | string | source filename; institution and shelfmark are encoded in it |
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| `width`, `height` | int32 | as declared upstream; verified to match the decoded image |
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| `iiif_url` | string | the IIIF source URL, preserved for provenance |
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| `objects` | list of struct | `bbox`, `category_id`, `category_name` |
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| `regions` | list of struct | `polygon`, `type`, `class_name` |
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## Caveats
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**Not every page is annotated.** 555 images, but only 545 carry YOLO labels and 542 carry polygon
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regions. Roughly 13 pages have an image and nothing else. This is in the source deposit, not introduced
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by the conversion. Filter on `len(objects) > 0` or `len(regions) > 0` before training.
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**There are no splits.** The upstream README documents `metadata/train.csv`, `val.csv` and `test.csv`;
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none of those files exist in the published archive, including in `extras.zip`. Everything is in a single
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`train` split. Make your own splits — and group by manuscript, not by page, since 555 pages come from
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only 334 books and pages from the same book are highly correlated.
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**No transcriptions.** The upstream documentation describes `text_line` elements as carrying
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transcription data. The published `elements.csv` has no transcription column, so none is present here.
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This is a layout dataset only.
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**Dating is unknown per item.** The deposit does not ship per-manuscript dates, so there is no date
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field. "Medieval and early modern" is the collection-level description, not something you can filter on.
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### If you go back to the original deposit
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The three annotation files are in three different text encodings, which is worth knowing before you
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parse them yourself:
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| File | Encoding |
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|---|---|
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| `extras/HORAE_LSv2.csv` | UTF-8 |
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| `metadata/HORAE_LSv2_elements.csv` | latin-1 |
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| `metadata/HORAE_LSv2_image_data.csv` | UTF-7 (`+AF8-` for `_`) |
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Reading any of them as UTF-8 either raises or silently mangles every accented library name. The
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conversion here decodes each with its own encoding.
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The 2019 first release (HORAE_LS) referenced images by IIIF URL rather than shipping them; those URLs
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rotted, which is why v2 exists with images included.
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## Load
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```python
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from datasets import load_dataset
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ds = load_dataset("davanstrien/horae-lsv2-layout", split="train")
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# pages with decorative elements only — text_line is 60% of the polygons
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decorated = ds.filter(
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lambda r: any(x["type"] in {"miniature", "initial", "decoration"} for x in r["regions"])
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)
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```
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## Licence
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CC BY 4.0, following the upstream deposit. Attribution to the HORAE project creators, below.
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Note that the source institutions holding the digitised manuscripts apply their own terms to the
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underlying images; the Zenodo deposit is the layer licensed CC BY 4.0. Where you need to go back to an
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institution's own copy, `iiif_url` points at it.
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## Credit
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Data created by Dominique Stutzmann and Lise Bernard Leterme (Institut de Recherche et d'Histoire des
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Textes), Mélodie Boillet and Christopher Kermorvant (Teklia), and Marie-Laurence Bonhomme.
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Converted and repackaged for the Hub by [Daniel van Strien](https://huggingface.co/davanstrien).
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```bibtex
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@dataset{stutzmann_2025_horae_lsv2,
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author = {Stutzmann, Dominique and Bernard Leterme, Lise and Boillet, M{\'e}lodie and
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Bonhomme, Marie-Laurence and Kermorvant, Christopher},
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title = {{HORAE-LSv2. Layout Segmentation Dataset for Medieval Books of Hours}},
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year = {2025},
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version = {2.0},
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publisher = {Zenodo},
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doi = {10.5281/zenodo.16919911}
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}
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```
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