---
language:
- en
license: other
tags:
- code
- seeds
- oss-instruct
- dataset-curation
---

# oss-code-seeds

A combined dataset of open-source code snippets (seeds) curated from multiple
high-quality sources. The intended use is to serve as seeds for generating
coding instruction-response pairs via the OSS-Instruct approach — where a model
is prompted with a real code snippet to produce a grounded, diverse coding problem
and its solution.

## Columns

- `seed`: A raw code snippet from open-source software (OSS), serving as the seed
- `source`: The original HuggingFace dataset the seed was taken from

## Sources

| Dataset | Description |
|---|---|
| `ise-uiuc/Magicoder-OSS-Instruct-75K` | Seeds used to generate the Magicoder dataset via GPT-3.5, multi-language GitHub snippets |
| `bigcode/self-oss-instruct-sc2-concepts` | Filtered Python functions from The Stack V1 used in the SelfCodeAlign pipeline |

## Intended Use

Feed the `seed` column into your own model API to generate coding problems and
solutions, effectively replicating or improving upon the OSS-Instruct pipeline
with your own model.

```python
from datasets import load_dataset

ds = load_dataset("PursuitOfDataScience/oss-code-seeds", split="train")

for row in ds:
    seed = row["seed"]
    source = row["source"]
    # prompt your model with seed to generate a problem + solution
```