addde README.md

README.md

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+---
+language:
+- en
+tags:
+- code
+- rust
+- payment-processing
+- hyperswitch
+- fintech
+- dataset
+- programming
+size_categories:
+- 10K<n<100K
+source_datasets:
+- hyperswitch
+task_categories:
+- text-generation
+---
+# Hyperswitch Rust Codebase Dataset
+
+A comprehensive dataset extracted from the [Hyperswitch](https://github.com/juspay/hyperswitch) open-source payment processing platform, containing **16,731 code samples** across **37 modules** with **6.99M tokens** for training Rust code understanding and generation models.
+
+## 📊 Dataset Overview
+
+This dataset provides both **file-level** and **granular** code samples from Hyperswitch, a modern payment switch written in Rust. It's designed for training code models to understand payment processing patterns, Rust idioms, and large-scale system architecture.
+
+### Key Statistics
+- **Total Samples**: 16,990
+
+
+## 🏗️ Dataset Structure
+
+### Sample Distribution by Type
+
+```
+"total_samples": 16990,
+  "file_level_samples": 3143,
+  "granular_samples": 13847,
+  "commit_samples": 0,
+  "total_tokens": 8899898,
+  "sample_types": {
+    "impl_block": 4103,
+    "function_signature": 3993,
+    "struct_definition": 5484,
+    "full_file": 1623,
+    "doc_chunk": 69,
+    "openapi_block": 709,
+    "trait_definition": 221,
+    "web_doc_file": 72,
+    "doc_file": 238,
+    "chunk": 432,
+    "macro": 44,
+    "impl_block_chunk": 2
+  }
+```
+
+## 🙏 Acknowledgments
+
+- **Hyperswitch Team** for building an excellent open-source payment platform
+- **Rust Community** for creating robust tooling and documentation standards
+- **Juspay Technologies** for open-sourcing this valuable codebase
+
+## 📞 Citation
+
+```bibtex
+@dataset{HyperSwitch-Repo-CPT-Dataset-v2,
+  title={HyperSwitch-Repo-CPT-Dataset-v2},
+  author={Aditya Narayan},
+  year={2024},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/AdityaNarayan/HyperSwitch-Repo-CPT-Dataset-v2},
+  note={Extracted from https://github.com/juspay/hyperswitch}
+}
+```
+
+---
+
+*This dataset is part of ongoing research into domain-specific code model training for financial technology applications.*