| --- |
| license: cc0-1.0 |
| task_categories: |
| - text-generation |
| - feature-extraction |
| language: |
| - en |
| tags: |
| - corpus |
| - leadership |
| - historical |
| - deku-corpus-builder |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Change Management 2 |
|
|
| This corpus was automatically generated by the **Deku Corpus Builder** for use in RAG-based AI applications. |
|
|
| ## Dataset Description |
|
|
| - **Subject**: Change Management Leadership |
| - **Subject Type**: topic |
| - **Total Items**: 100 |
| - **Items Requiring Attribution**: 0 |
| - **Has Embeddings**: Yes (all-MiniLM-L6-v2) |
| - **Created**: 2026-03-30 |
|
|
| ## Dataset Structure |
|
|
| Each record contains: |
| - `text`: The content text |
| - `source_url`: Original source URL |
| - `source_title`: Title of the source document |
| - `source_domain`: Domain of the source |
| - `license_type`: License classification (e.g. `public_domain`, `cc_by`, `cc_by_sa`) |
| - `attribution_required`: Boolean — True for CC BY / CC BY-SA and other attribution-required licenses |
| - `attribution_text`: Formatted Creative Commons attribution string (empty if not required) |
| - `license_url`: URL to the CC license deed (empty if not required) |
| - `relevance_score`: Relevance to the subject (0-1) |
| - `quality_score`: Content quality score (0-1) |
| - `topics`: JSON array of detected topics |
| - `character_count`: Length of the text |
| - `subject_name`: The subject this content relates to |
| - `subject_type`: "personality" or "topic" |
| - `extraction_date`: When the content was extracted |
| - `embedding`: Pre-computed 384-dimensional embedding vector |
|
|
| ## Attribution |
|
|
| 0 of 100 chunks in this corpus require attribution under their source license. |
| When building lessons from these chunks, the `attribution_text` field must be surfaced |
| in the lesson output per the Legend Leadership Attribution Tracking Spec. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("PhillyMac/Change_Management_2") |
| |
| # Access attribution-required chunks |
| for item in dataset["train"]: |
| if item["attribution_required"]: |
| print(item["attribution_text"]) |
| ``` |
|
|
| ## Integration with RAG |
|
|
| This dataset is designed to be integrated with existing embedded corpuses. The embeddings use the `sentence-transformers/all-MiniLM-L6-v2` model, compatible with FAISS indexing. |
|
|
| ## License |
|
|
| Content is sourced from public domain and Creative Commons licensed materials. |
| See individual `license_type` fields for per-chunk licensing details. |
|
|
| ## Generated By |
|
|
| [Deku Corpus Builder](https://github.com/PhillyMac/deku-corpus-builder) - An automated corpus building system for AI applications. |
|
|
