Spaces:
Sleeping
Sleeping
| TITLE_TEXT = "PECC - Problem Extraction and Coding Challenges Evaluation Benchmark" | |
| INTRODUCTION_TEXT = """๐ PECC: An extensive benchmark centered on code generation from narrative-embedded problem descriptions. Unlike prior benchmarks that evaluate code generation using specific instructions, our dataset requires models to comprehend, extract requirements, and produce the essential code for problem-solving. This approach necessitates syntactically accurate programs and demands reading comprehension skills to derive the desired solution.""" | |
| TASK_DESCRIPTION = """## Task Description | |
| The task for the model is to generate directly executable python code. | |
| ### Instruction | |
| The model is first prompted with a system prompt, which is a short description of the problem. The model is then asked to generate the python code that solves the problem. | |
| ### Task | |
| The model receives the task itself. | |
| """ | |
| CITATION_BUTTON_LABEL = "Copy the following snippet to cite our paper" | |
| CITATION_BUTTON_TEXT = r""" | |
| Coming soon! | |
| """ | |
| # @misc{pecc, | |
| # author = {Patrick Haller and Jonas Golde and Alan Akbik}, | |
| # title = {PECC - Problem Extraction and Coding Challenges}, | |
| # year = {2024}, | |
| # publisher = {GitHub}, | |
| # journal = {GitHub repository}, | |
| # howpublished = {} | |
| # } | |