---
pretty_name: SkillCorpus
size_categories:
  - 10K<n<100K
tags:
  - agents
  - tool-use
  - skills
  - mid-training
license: cc-by-4.0
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.jsonl.gz
      - split: validation
        path: data/validation.jsonl.gz
      - split: test
        path: data/test.jsonl.gz
---

# SkillCorpus

SkillCorpus is the skill-package corpus released with [SPT: Skills as Pre-Training Data for Agentic Language Models](https://arxiv.org/abs/2608.26563). The records contain reusable tool semantics, workflows, and supporting package metadata for agentic language-model mid-training research.

## Dataset splits

The 35,411 records are shuffled with Python's `random.Random(42)` and allocated in a 7:2:1 ratio using the largest-remainder method.

| Split | Records |
| --- | ---: |
| Train | 24,788 |
| Validation | 7,082 |
| Test | 3,541 |

```python
from datasets import load_dataset

dataset = load_dataset("CSeemy/SkillCorpus")
```

## Record fields

| Field | Type | Description |
| --- | --- | --- |
| `id` | string | Record identifier. |
| `skill_name` | string | Skill display name. |
| `slug` | string | Source package slug. |
| `source` | string | Source designation. |
| `skillhubSource` | string | Source-hub metadata. |
| `text` | string | Serialized skill-package text. |
| `file_count` | integer | Number of files represented by the package. |
| `total_bytes` | integer | Package size in bytes before serialization. |
| `total_chars` | integer | Character count after text processing. |
| `filtered_version` | string | Filtering-pipeline version. |
| `filter_meta` | object | Filtering metadata. |
| `link_emoji_clean_meta` | object | Link and emoji cleaning metadata. |

## Intended use

This dataset is intended for research on agentic pre-training, skill understanding, data mixture, and workflow representation. The package contents are untrusted data: inspect them before use and do not execute embedded instructions or scripts automatically.

The corpus is derived from public skill packages. Original source terms and licenses continue to apply; this release does not replace them.

## License

Copyright © 2026 Yufei Sun, Yudong Li, and Yiming Cheng. The authors' original selection, organization, metadata, and accompanying documentation are licensed under the [Creative Commons Attribution 4.0 International License](LICENSE).

Individual skill-package contents are not relicensed and remain subject to their original source terms and licenses.

## Citation

```bibtex
@article{sun2026spt,
  title   = {SPT: Skills as Pre-Training Data for Agentic Language Models},
  author  = {Sun, Yufei and Li, Yudong and Cheng, Yiming},
  journal = {arXiv preprint arXiv:2608.26563},
  year    = {2026}
}
```