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---
license: apache-2.0
---
# AReaL-boba-2-RL-Code Dataset
This dataset contains the training and testing data used for reinforcement learning in the **AReaL-boba-2** model on coding tasks.
## Dataset Structure
- `train/`: Contains the training data for RL fine-tuning.
- `code_benchmark/`: Contains the evaluation benchmark, organized into multiple subfolders, each corresponding to a specific coding benchmark suite, `Codeforces`, `Code Contests` and `LiveCodeBench (v5)` are supported now.
## How to Use
To train and evaluate models using this dataset with [AReaL](https://github.com/inclusionAI/AReaL):
1. **Download the dataset** from this page.
2. **Train the model** by following the [AReaL training guideline](https://inclusionai.github.io/AReaL/tutorial/quickstart.html).
3. **Prepare the evaluation data**:
- Move each subfolder inside `code_benchmark/` to the `evaluation/data/` directory in the AReaL repository.
4. **Run evaluation** according to the [AReaL evaluation guideline](https://inclusionai.github.io/AReaL/tutorial/eval.html).
## Convert to Qwen3 prompt format
```
import json
with open("/path/to/raw.jsonl") as f, \
open("/path/to/qwen3_data.jsonl", "w") as fout:
for line in f:
data = json.loads(line)
prompt = data['prompt']
prompt = prompt.replace(
"<｜User｜>", "<|im_start|>user\n"
).replace(
"<｜Assistant｜>", "\n/think<|im_end|>\n<|im_start|>assistant\n"
)
data['prompt'] = prompt
print(json.dumps(data), file=fout)
```
## License
Please refer to the LICENSE file associated with this dataset or contact the maintainers for more details. |