--- dataset_info: features: - name: image dtype: image - name: alto dtype: string - name: filename dtype: string splits: - name: train num_bytes: 440129470 num_examples: 350 - name: val num_bytes: 58958626 num_examples: 50 - name: test num_bytes: 59181301 num_examples: 50 download_size: 554065486 dataset_size: 558269397 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* license: cc-by-4.0 language: - de tags: - handwriting-text-recognition - htr - early-modern-german - historical-documents pretty_name: HTR Dataset ICFHR 2016 --- # HTR Dataset ICFHR 2016 ## Dataset Description The **HTR Dataset ICFHR 2016** is a historical document image dataset primarily intended for **Handwriting Text Recognition (HTR)** research and benchmarking. This dataset was created as part of the European Commission's **READ project** (Recognition and Enrichment of Archival Documents) and consists of a subset of documents from the **Ratsprotokolle collection**, which contains minutes of council meetings held from 1470 to 1805. The documents are written in **Early Modern German** and feature complex handwriting, making this a challenging resource for HTR algorithms. It was notably used in the HTR competition held at the **ICFHR 2016** conference. ## Data Structure The dataset is distributed across two main archives: `Train-And-Val-ICFHR-2016.tgz` and `Test-ICFHR-2016.tgz`. The training and validation sets comprise **400 pages**. The ground-truth transcription is provided at the line level within the standard **PAGE XML format** (not plain text transcripts). Each data instance generally includes a page image and the corresponding PAGE XML file. ## Dataset Creation ### Source Data The data originates from the **Ratsprotokolle collection** (minutes of council meetings from 1470 to 1805). ### Creators The primary creators of this specific dataset compilation are: **A.H. Toselli, V. Romero, M. Villegas, E. Vidal, and J.A. Sánchez**. ## License The dataset is licensed under the **Creative Commons Attribution 4.0 International (CC-BY-4.0)** license. ## Citation When using this dataset, please cite the original Zenodo record as follows: ```bibtex @inproceedings{ToselliRomeroVillegasVidalSanchez2018, author = {Toselli, A. H. and Romero, V. and Villegas, M. and Vidal, E. and S\'{a}nchez, J. A.}, title = {HTR Dataset ICFHR 2016}, publisher = {Zenodo}, year = {2018}, doi = {10.5281/zenodo.1164045}, url = {[https://zenodo.org/records/1164045](https://zenodo.org/records/1164045)} }