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---
license: mit
size_categories:
- n<1K
task_categories:
- summarization
- text-generation
pretty_name: MCE
dataset_info:
features:
- name: class_id
dtype: string
- name: class_code
dtype: string
- name: skeleton
dtype: string
- name: method_code
dtype: string
- name: method_summary
dtype: string
splits:
- name: test
num_bytes: 2166776
num_examples: 410
download_size: 381808
dataset_size: 2166776
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
tags:
- code summarization
- python
- function-level
- class-level
- ClassEval
---
# Modified ClassEval (MCE) Dataset
This dataset is a modification of the ClassEval benchmark, designed for evaluating code summarization models beyond the function level. It explores the impact of function and class contexts on summary quality. The dataset includes modifications for evaluating at both function and class levels.
Paper: [Code Summarization Beyond Function Level](https://hf.co/papers/2502.16704)
**Dataset Structure:**
The dataset contains samples with the following fields:
* `class_id`: Identifier for the class.
* `class_code`: The code of the class.
* `skeleton`: The structured blueprint for the class, including class-level and function-level information.
* `method_code`: The code of a method within the class.
* `method_summary`: The summary of the method.
**Dataset Splits:**
* `test`: 410 samples (400 + 10 samples for few-shot learing)
This dataset is part of a broader study investigating code summarization at various levels (function, class, and repository). The complete study details, code, and evaluation results are available on GitHub: [https://github.com/kilimanj4r0/code-summarization-beyond-function-level](https://github.com/kilimanj4r0/code-summarization-beyond-function-level). |