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---
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: string
- name: category
dtype: string
- name: language
dtype: string
- name: repo
dtype: string
- name: sha
dtype: string
splits:
- name: train
num_bytes: 297101034
num_examples: 58668
download_size: 69521444
dataset_size: 297101034
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- code
- classification
- code-quality
license: other
language:
- code
- en
size_categories:
- 10K<n<100K
task_categories:
- text-classification
pretty_name: Code Edit Quality Classification
---
## Description
Labelled good/bad code-edit snippets (`text`, `label`, `category`) for training a quality classifier.
> Derived dataset. Source material retains its original per-item licence (see `source`/`repo` columns); treat as **other / mixed**. Provided as-is.
## Usage
```python
from datasets import load_dataset
ds = load_dataset("PotatoHD/code-edit-negatives-cls")
```