Update README.md

README.md

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 This dataset is a filtered version of the *ICDAR2017* Competition on Handwritten Text Recognition, focusing on monograph texts written between 1800 and 1900. It consists of a total of **957 documents**, divided into training, validation, and testing sets, and is designed for post-correction of OCR (Optical Character Recognition) text.
 
-- **Total Documents**: 957
-  - **Training Set**: 765
-  - **Validation Set**: 95
-  - **Test Set**: 97
+- **Training Set**: 2.63k phrases
+- **Validation Set**: 336
+- **Test Set**: 301
 
 ## Purpose
 The dataset aims to improve the accuracy of digitized texts by providing a reliable Ground Truth for comparison and correction, specifically addressing the challenges of French text of 19th century.