DLI-Lab/COFFEE-Editor-sample

---
dataset_info:
features:
- name: problem_id
dtype: string
- name: description
dtype: string
- name: feedback
dtype: string
- name: wrong_code
dtype: string
- name: input_format
dtype: string
- name: user_id
dtype: string
- name: output_format
dtype: string
- name: index
dtype: int64
- name: correct_code
dtype: string
splits:
- name: train
num_bytes: 9736765
num_examples: 3600
- name: eval
num_bytes: 1094571
num_examples: 400
download_size: 3874981
dataset_size: 10831336
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: eval
path: data/eval-*
---

This dataset contains information related to programming problems, including problem ID, description, user feedback, wrong code, input and output formats, etc. It is divided into training and evaluation sets for model training and evaluation.

原始信息汇总

数据集概述

数据集特征

• problem_id: 数据类型为字符串
• description: 数据类型为字符串
• feedback: 数据类型为字符串
• wrong_code: 数据类型为字符串
• input_format: 数据类型为字符串
• user_id: 数据类型为字符串
• output_format: 数据类型为字符串
• index: 数据类型为整数
• correct_code: 数据类型为字符串

数据集划分

• 训练集 (train):
  • 数据量: 3600个样本
  • 存储大小: 9736765字节
• 评估集 (eval):
  • 数据量: 400个样本
  • 存储大小: 1094571字节

数据集大小

• 下载大小: 3874981字节
• 数据集总大小: 10831336字节

数据文件配置

• 默认配置 (default):
  • 训练集路径: data/train-*
  • 评估集路径: data/eval-*