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README.md

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-license: mit
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+---
+license: mit
+task_categories:
+- text-generation
+---
+
+# FineCode: A High-Quality Code Dataset  
+
+## Overview  
+
+FineCode is a meticulously curated dataset aimed at providing high-quality code for training and benchmarking code generation models. While many code datasets exist on Hugging Face, the quality of code varies significantly. FineCode seeks to address this by rigorously filtering and scoring code to ensure only well-structured, optimized, and readable examples are included.  
+
+## Dataset Details  
+
+- **Total Size:** 100B tokens  
+- **Languages Covered:** Top 15 programming languages, with an emphasis on the top 5  
+- **Source:** Scraped from top-ranked GitHub repositories of well-known organizations and highly rated open-source projects  
+- **Filtering Criteria:**  
+  - Code is evaluated using **Llama3.2-3B**, which assigns a quality score (0-100) based on factors like readability, optimization, and best practices  
+  - Only code with a **score of 75 or higher** is included in the dataset  
+  - Additional filtering techniques are applied to remove low-quality or redundant content  
+
+## Availability  
+
+The dataset will be released soon on Hugging Face, along with the code used for data collection and filtering, allowing full transparency and reproducibility.  
+
+Stay tuned for updates!