---
task_categories:
- text-generation
- text2text-generation
language:
- en
tags:
- coding
- code generation
- atcoder
- programming contests
pretty_name: Atcoder's Contests
size_categories:
- 10M<n<100M
---
## Dataset Description

- **Homepage:** None
- **Repository:** <https://huggingface.co/datasets/Nan-Do/atcoder_contests_small>
- **Paper:** None
- **Leaderboard:** None
- **Point of Contact:** [@Nan-Do](https://github.com/Nan-Do)

### Dataset Summary

- This dataset aims to **facilitate the creation of sophisticated, multi-turn dialogue datasets focused on coding**
  that could be used for **training reasoning Large Language Models (LLMs)**, particularly for **Supervised Fine-Tuning (SFT) and Knowledge Distillation** techniques. 
- It also serves as a **robust foundation for problem-solving** in Large Language Models (LLMs).
- The dataset includes both **accepted and failed solutions** from Atcoders's (ABC) contests.
- It covers contests from **ABC** contest **50** (previous contests only have the statements in japanese) up to **ABC** contest **404** **(May 4, 2025)**.
- In total, it features **2290 unique problems** and **10,606,509 submissions** across over **50 different programming languages** (including the different versions).
- Each contest includes **~30,000 submissions**.

  (**The dataset is not accessible to the public, please do not contact me regarding its access.**)

### Languages

The problem descriptions are in English.
The dataset includes submissions in various programming languages, each with specific language and compiler versions.
For example, for **C++**:
Version | Compiler
:--------|:---------
C++ 20 | Gcc 12.2
C++ 17 | Gcc 12.2
C++ 23 | Gcc 12.2
C++ 23 | Clang 16.0.6
C++ 20 | Clang 16.0.6
C++ 17 | Clang 16.0.6
C++ | GCC 9.2.1

## Status

The status indicates the outcome of each submission.
Below is an explanation of the status values, their meanings, and their totals:
Value | Meaning 
:-----|:--------
AC | Submission Accepted 
WA | Wrong Answer
RE | Runtime Error
TLE | Time Limit Exceeded
MLE | Memory Limit Exceeded

### Data Splits

There are no splits (Only training).

## Dataset Creation

May of 2025

### Curation Rationale

This dataset was designed to enhance the **coding** and **problem-solving** capabilities of LLMs by providing
**sophisticated multi-turn dialogues** focused on coding.

### Source Data

The source of the dataset is [Atcoder's contests](https://atcoder.jp/)

### Annotations

The dataset includes the following columns:

- **contest_number**: ID of the contest (e.g., abc-250, just the numeric identifier).
- **task**: Task identifier within the contest (e.g., A).
- **statement**: Markdown explanation of the problem.
- **score**: Score awarded for the task (e.g., 100).
- **title**: Title of the problem.
- **language**: Programming language used for the solution (see previous table for details).
- **status**: Outcome of the submission (see previous table for details).
- **execution_time**: Time taken by the submission in milliseconds.
- **execution_memory**: Memory used by the submission in kilobytes
- **code**: Code that solves the problem.
- **code_size**: Size of the code in bytes.

If you have any suggestion, comment or proposal, please contact me [here](mailto:tarin.f@gmail.com)