Success is in the Details: Test Sensitivity to Details and Boost Performance of Code LLMs through Counterfactuals
🤗 Dataset(HuggingFace) | 🤖 Dataset(ModelScope) | 🤗 Model(HuggingFace) | 🤖 Model(ModelScope) | 📑 Paper(Comming Soon)
This repository contains the code to train and infer CTFCoder.
| Dataset | Download Link |
|---|---|
| CTF-Instruct | HuggingFace |
| CTF-Instruct | ModelScope |
| CTF-Evol-Instruct | ModelScope |
| CTF-Oss-Instruct | ModelScope |
For any questions, you can contact [email protected].
If you find this work useful, consider giving this repository a star ⭐️ and citing 📝 our paper as follows:
Comming Soon...
The code is based on the evalplus,LiveCodebench, Thanks for these great works and open sourcing!