Create README.md

README.md

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+---
+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.