---
pretty_name: Code Reasoning Data
language:
- en
task_categories:
- text-generation
tags:
- code
- sft
- reinforcement-learning
license: other
license_name: source-specific-licenses
license_link: LICENSE
size_categories:
- 10K<n<100K
configs:
- config_name: kodcode_sft
  default: true
  data_files:
  - split: train
    path: data/kodcode/sft/train.parquet
  - split: validation
    path: data/kodcode/sft/validation.parquet
- config_name: kodcode_rl
  data_files:
  - split: train
    path: data/kodcode/rl/train.parquet
  - split: validation
    path: data/kodcode/rl/validation.parquet
- config_name: taco_leetcode_sft
  data_files:
  - split: train
    path: data/taco_leetcode/sft/train.parquet
  - split: validation
    path: data/taco_leetcode/sft/validation.parquet
- config_name: taco_leetcode_rl
  data_files:
  - split: train
    path: data/taco_leetcode/rl/train.parquet
  - split: validation
    path: data/taco_leetcode/rl/validation.parquet
---

# Code Reasoning Data

Code-training data with SFT answers, executable RL tests, and category labels.

| Configuration | Train | Validation |
|---|---:|---:|
| `kodcode_sft` | 35,974 | 100 |
| `kodcode_rl` | 35,974 | 100 |
| `taco_leetcode_sft` | 21,779 | 100 |
| `taco_leetcode_rl` | 17,249 | 100 |

```python
from datasets import load_dataset

ds = load_dataset("./dataset", "kodcode_sft")
# After upload, replace ./dataset with your Hugging Face dataset repository ID.
```

SFT: use `messages` or `prompt` / `response`. RL: use `prompt` and
`reward_model.ground_truth`. Apply the target model's template at training time.
Use only the documented input/target fields; labels and tests are metadata.

KodCode uses ten primary categories; TACO/LeetCode uses seven category-removal
groups. Their taxonomies and historical ablation memberships are separate.

The TACO SFT validation split is new in this release. Other splits are historical.
These configurations are separate experiments, not a joint SFT-to-RL split.
Historical TACO RL validation overlaps the original SFT pool on 71 problems.
See [TACO/LeetCode notes](docs/taco_leetcode.md) for historical export.

```bash
pip install -r requirements.txt
python scripts/validate_release.py --hf
```

Source-specific licenses apply; see [LICENSE](LICENSE) and [NOTICE](NOTICE.md).
Reward scripts require Linux; usage and limits are in [verification notes](docs/rl_verification.md).