| | --- |
| | license: cc0-1.0 |
| | task_categories: |
| | - text-generation |
| | - feature-extraction |
| | language: |
| | - en |
| | tags: |
| | - corpus |
| | - leadership |
| | - historical |
| | - deku-corpus-builder |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | |
| | # Communication-Topic-1 |
| |
|
| | This corpus was automatically generated by the **Deku Corpus Builder** for use in RAG-based AI applications. |
| |
|
| | ## Dataset Description |
| |
|
| | - **Subject**: Communication |
| | - **Subject Type**: topic |
| | - **Total Items**: 152 |
| | - **Items Requiring Attribution**: 0 |
| | - **Has Embeddings**: Yes (all-MiniLM-L6-v2) |
| | - **Created**: 2026-03-17 |
| |
|
| | ## 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 152 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/Communication_Topic_1") |
| | |
| | # 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. |
| |
|
