Tessera2025/Tessera2025
📚 Tessera: Exposing the Challenges of LLM-based Test Generation for Low-Resource Programming Languages Tessera is a validation benchmark designed to measure how well models can generate unit tests for Low-Resource Programming Languages (LRPLs) — specifically Rust, Go, and Julia. 📌 Purpose Evaluate how well a model can generate test code, given a focal function's source code and additional context. 📂 Dataset Structure Each sample contains:… See the full description on the dataset page: https://huggingface.co/datasets/Tessera2025/Tessera2025.
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