| --- |
| task_categories: |
| - text-generation |
| - text2text-generation |
| language: |
| - en |
| tags: |
| - coding |
| - code generation |
| - atcoder |
| - programming contests |
| pretty_name: Atcoder Regular Contests |
| size_categories: |
| - 1M<n<10M |
| --- |
| ## Dataset Description |
|
|
| - **Homepage:** None |
| - **Repository:** <https://huggingface.co/datasets/Nan-Do/atcoder_arc_contests> |
| - **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 Atcoder Regular Contests (ARC). |
| - It covers contests from **ARC** contest **58** (previous contests only have the statements in japanese) up to **ARC** contest **215** **(Feb 22, 2026)**. |
| - In total, it features **824 unique problems** and **3,649,365 submissions** across over **50 different programming languages** (including the different versions). |
|
|
| (**This 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 |
|
|
| March of 2026 |
|
|
| ### 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. See [AtCoder COT](https://huggingface.co/datasets/Nan-Do/atcoder_cot). |
|
|
| ### 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., arc-122, 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) |
