---
language:
- fi
size_categories:
- 100K<n<1M
---

# OCR training data from AIDA-project

### Dataset Summary

The zip file contains textlines and their annotations from AIDA-project. There are ~ 166k textlines that are mainly in Finnish language, but contain a little Swedish and 
English and little French and German textlines. The textlines contains typewritten and also handwritten lines. Roughly 24 % of the lines are handwritten and the rest are 
typewritten. The dataset also contains 120 000 synthetic images.

### Supported Tasks

The dataset was created mainly for text recognition task. 

### Languages

The majority of the textlines are in Finnish, but some are in Swedish and English. In addition to this there are a few French and German textlines.

## Dataset structure

### Data Instances 

The zip file contains two folders. Folder called text_lines contains all the text lines. The other folder called annotations contain the annotations in PaddleOCR format.
The annotations are divided into train, validation and test sets. In addition to this, the annotations are divided into handwritten, typewritten and ship, which contains 
annotations of ship records that are mainly handwritten. Handwritten and typewritten annotations are also divided into best and semi files. Best means that the annotator has 
understood every letter in the line as semi means that some character are not understood.

PaddleOCR format means that the annotations are saved into a txt file containing multiple annotations. One annotations is place per line in the file. First the format 
contains path to the image, then a separating "\t" character and then the transcription. An example of the format is shown below.

0001.jpg\tHello World  
0002.jpg\tThis is PaddleOCR format.

### Data Fields

### Data Splits

### Dataset Creation

### Source Data

### Initial Data Collection and Normalization 

### Who are the source language producers? 

### Annotations 

### Who are the annotators? 

### Personal and Sensitive Information 

The dataset is not anonymized, so individuals' names can be found in the dataset. Information about the original author is not included in the dataset.