Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+task_categories:
+- text-classification
+language:
+- en
+size_categories:
+- 1M<n<10M
+---
+
+
+# Synthetic CAPTCHA OCR Dataset (1M)
+
+## Overview
+This dataset contains **synthetically generated CAPTCHA images** designed for training and benchmarking Optical Character Recognition (OCR) models. Each image contains a randomly generated alphanumeric string rendered in CAPTCHA style with noise, distortions, and visual artifacts to simulate real-world conditions.
+
+The dataset is created entirely using automated rendering pipelines and therefore contains perfectly accurate ground-truth labels.
+
+---
+
+## Dataset Characteristics
+
+- **Dataset size:** 1,000,000 images  
+- **Image format:** PNG  
+- **Image resolution:** 160 × 60 pixels  
+- **Text length:** 5–10 characters  
+- **Character set:**  
+  - Uppercase letters (A–Z)  
+  - Lowercase letters (a–z)  
+  - Digits (0–9)
+
+Each file is named using the ground-truth label:
+
+```
+
+<text>.png
+
+```
+
+Example:
+
+```
+
+A7kD3.png
+pQ82Lm.png
+
+```
+
+Thus, labels can be directly extracted from filenames without requiring an additional annotation file.
+
+
+## Generation Methodology
+
+Images were generated using a synthetic rendering pipeline that includes:
+
+- Random font selection
+- Character position perturbations
+- Random background noise
+- Random line interference
+- Gaussian pixel noise
+
+This process improves robustness and helps OCR models generalize to real-world CAPTCHA images.
+
+
+## Intended Use
+
+This dataset is suitable for:
+
+- Training deep learning OCR systems
+- CAPTCHA recognition research
+- Sequence recognition benchmarking
+- Synthetic data pretraining for document OCR systems
+- Curriculum learning before fine-tuning on real-world datasets
+
+
+
+## Limitations
+
+- Images are synthetically generated and may not capture every real-world CAPTCHA style.
+- Domain adaptation may still be required for specific CAPTCHA systems.
+- Distribution of character sequences is random rather than language-based.
+
+
+## Citation
+
+If you use this dataset in academic work, please cite:
+
+```
+
+Synthetic CAPTCHA OCR Dataset (1M), 2026
+
+```