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Model: pedrodev2026/microcoder-1.5b-GGUF
Source: Original Platform

DATASET_CREDITS.md

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+# Credits
+
+This dataset is a combination of three existing datasets, pre-processed with **deduplication** and **token limit of 1024 tokens per example**.
+
+## Included Datasets
+
+1. **[CyberNative/Code_Vulnerability_Security_DPO](https://huggingface.co/datasets/CyberNative/Code_Vulnerability_Security_DPO)**  
+   - Creator: CyberNative  
+   - License: Apache 2.0  
+   - Description: Code dataset focused on security vulnerabilities.  
+
+2. **[Madras1/minimax-m2.5-code-distilled-14k](https://huggingface.co/datasets/Madras1/minimax-m2.5-code-distilled-14k)**  
+   - Creator: Madras1  
+   - License: Apache 2.0  
+   - Description: Distilled code dataset emphasizing coding patterns and representations.  
+
+3. **[pedrodev2026/pedro-open-distil-dataset](https://huggingface.co/datasets/pedrodev2026/pedro-open-distil-dataset)**  
+   - Creator: pedrodev2026  
+   - License: BSD 3-Clause  
+   - Description: Custom distilled code dataset created and maintained by pedrodev2026.  
+
+## Preprocessing
+
+The combined dataset was prepared by:
+
+- **Deduplicating** all examples to remove redundancy.  
+- Limiting examples to **1024 tokens each**.  
+
+## License
+
+The final combined dataset is licensed under **BSD 3-Clause**.  
+Users must still respect the original licenses of the included datasets when redistributing or using the original unmodified datasets.  
+
+- Original licenses:  
+  - **[CyberNative/Code_Vulnerability_Security_DPO](https://huggingface.co/datasets/CyberNative/Code_Vulnerability_Security_DPO)**: Apache 2.0  
+  - **[Madras1/minimax-m2.5-code-distilled-14k](https://huggingface.co/datasets/Madras1/minimax-m2.5-code-distilled-14k)**: Apache 2.0  
+  - **[pedrodev2026/pedro-open-distil-dataset](https://huggingface.co/datasets/pedrodev2026/pedro-open-distil-dataset)**: BSD 3-Clause