CodeGen4Libs Dataset
The dataset is specifically constructed for the library-oriented code generation task, which are constructed in the paper “CodeGen4Libs: A Two-Stage Approach for Library-Oriented Code Generation”.
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
generate method-level code for specific libraries
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
The dataset is specifically constructed for the library-oriented code generation task, which are constructed in the paper “CodeGen4Libs: A Two-Stage Approach for Library-Oriented Code Generation”.
RES-Q is a natural language instruction-based benchmark for evaluating $\textbf{R}$epository $\textbf{E}$diting $\textbf{S}$ystems, which consists of 100 handcrafted repository editing tasks derived from real GitHub commits. Given an edit instruction and a code repository, RES-Q evaluates an LLM system’s ability to interpret edit instructions, gather information, and construct appropriate edits to the repository.
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.