Update README.md

README.md

@@ -53,3 +53,46 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+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
+
+## 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.
+
+## Dataset Columns Description
+
+This dataset contains several columns with detailed information about OCR (Optical Character Recognition) outputs and their corresponding ground truths (GT). Below is a description of each column:
+
+| Column Name               | Data Type    | Description                                                                                   |
+|---------------------------|--------------|-----------------------------------------------------------------------------------------------|
+| **File**                 | `string`     | Name or identifier of the file associated with the OCR and GT data.                          |
+| **Date**                 | `int64`      | Date of the document, encoded as an integer.                                                 |
+| **Region_OCR**           | `string`     | OCR-recognized region of text.                      |
+| **Region_OCR_aligned**   | `string`     | Aligned OCR-recognized region for better comparison with GT data.                            |
+| **Region_GT_aligned**    | `string`     | Aligned ground truth region for validation against OCR results.                              |
+| **Sentence_OCR_aligned** | `string`     | Aligned OCR-recognized sentences for improved accuracy in comparisons.                       |
+| **Sentence_GT_aligned**  | `string`     | Aligned ground truth sentences corresponding to OCR results.                                 |
+| **Sentence_OCR**         | `string`     | Original OCR-recognized sentences, unaligned.                                                |
+| **Sentence_GT**          | `string`     | Original ground truth sentences, unaligned.                                                 |
+| **Distance**             | `int64`      | The computed edit distance between OCR sentences and ground truth.                           |
+| **CER**                  | `float64`    | Character Error Rate (CER) for OCR sentences compared to the ground truth. Values range from 0 to 0.29. |
+| **WER**                  | `float64`    | Word Error Rate (WER) for OCR sentences compared to the ground truth. Values range from 0 to 1.5. |
+| **Sentence_OCR_corrupted** | `string`   | OCR sentences with additional corruption introduced for synthetic error analysis.            |
+| **corrupted_cer**        | `float64`    | Character Error Rate for corrupted OCR sentences compared to the ground truth. Values range from 0 to 0.35. |
+| **corrupted_wer**        | `float64`    | Word Error Rate for corrupted OCR sentences compared to the ground truth.                    |
+
+This structured dataset is designed to analyze and evaluate OCR post-correction performance with both real and synthetic data.
+
+## Author Information
+Prepared by **Mikhail Biriuchinskii**, an engineer in Natural Language Processing at Sorbonne University.
+
+## Original Dataset Reference
+For more information, visit the original dataset source: [ICDAR2017 Competition on Post-OCR Text Correction](http://l3i.univ-larochelle.fr/ICDAR2017PostOCR).
+
+## Copyright
+The original corpus is publicly accessible, and I do not hold any rights to this deployment of the corpus.