| --- |
| 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} |
| } |
| ``` |
|
|
