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-*