File size: 2,365 Bytes
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language: fr
license: cc-by-nc-4.0
dataset_info:
- config_name: default
features:
- name: id
dtype: string
- name: image
dtype: image
- name: label
dtype: string
- name: page
dtype: string
splits:
- name: train
num_examples: 940
num_bytes: 255688583.0
size_categories: 1K<n<10K
task_categories:
- image-to-text
- other
pretty_name: Manuscrit Moreau 841 — Jacques Cartier, *Relation* (1534)
annotations_creators:
- human-annotated
language_creators:
- found
tags:
- early-modern-french
- manuscript
- exploration
- cartier-1534
- transcription
- humanities
---
# Manuscrit Moreau 841 — Jacques Cartier, *Relation* (1534)
---
## Description
This dataset contains a transcription of the manuscript known as *Ms. Moreau 841* (Bibliothèque nationale de France), a manuscript copy of the *Relation* describing Jacques Cartier’s 1534 voyage to North America.
The present dataset was transcribed and aligned to corresponding image segments to support research in handwritten text recognition.
**BnF Catalog record:** [https://gallica.bnf.fr/ark:/12148/btv1b10035580h/f57/f57.item)
---
## Dataset contents
| Field | Type | Description | Example |
|:------|:-----|:-------------|:--------|
| `id` | string | Unique line identifier (page + line number) | `P001_L001` |
| `image` | string | Relative path or URL to cropped line image | `images/P001_L001.jpg` |
| `page` | string | Source page identifier | `P001` |
| `label` | string | Diplomatic transcription of the handwritten line | `Le vingt & cinq iour d’aoust nous descouvrismes vne terre...` |
---
## Transcription parameters
- Original spelling, capitalization, and punctuation preserved.
- Abbreviations not expanded unless essential for clarity.
- Lineation follows the manuscript: one record per handwritten line.
- Ligatures and special characters normalized to Unicode NFKC.
The transcription was completed manually using **eScriptorium** for line segmentation and annotation, exported in **PAGE XML (2019-07-15)** format, and then converted into tabular form for reuse and model training.
---
## Use cases
This dataset can support:
- Training or evaluating OCR/HTR models on early modern French handwriting.
- Digital humanities and paleography research.
--- |