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TITLE_TEXT = "PECC - Problem Extraction and Coding Challenges Evaluation Benchmark" | |
INTRODUCTION_TEXT = """π 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 = {} | |
# } | |