Datasets:
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
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.
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