LongCodeBench (LCB) is a benchmark designed to test Large Language Model (LLM) coding abilities in long-context scenarios. As presented in the paper "LongCodeBench: Evaluating Coding LLMs at 1M Context Windows", it addresses the challenge of constructing realistic long-context benchmarks by drawing from real-world GitHub issues to create both QA (LongCodeQA) and bug fixing (LongSWE-Bench) tasks. The benchmark aims to… See the full description on the dataset page:
https://huggingface.co/datasets/Steefano/LCB.
