| --- |
| license: cc-by-sa-4.0 |
| language: |
| - en |
| - zh |
| multilinguality: |
| - multilingual |
| size_categories: |
| - n<1K |
| task_categories: |
| - text-generation |
| - text-classification |
| pretty_name: COPEAI Lore Corpus |
| tags: |
| - memecoin |
| - satire |
| - solana |
| - pump.fun |
| - market-sentiment |
| - fictional-characters |
| - cc-by-sa |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: copeai-corpus-v1.jsonl |
| --- |
| |
| # COPEAI Lore Corpus |
|
|
| Open dataset of in-character lore, agent dossiers, blog dispatches, FAQ corpus, |
| mood label definitions, and disclosure copy from |
| [COPEAI](https://www.copeai.net) — an AI-themed Solana memecoin satire on |
| Pump.fun. |
|
|
| > **Compliance frame**: Every entry here is **fictional in-character satire**. |
| > Nothing in this corpus is financial advice, investment guidance, or a |
| > recommendation to transact. COPEAI provides no rights, utility, yield, or |
| > appreciation expectations. The agent names (TRON, CLU, QUORRA, ZUSE, GEM, |
| > RINZLER) are character references used in satire — COPEAI is not affiliated |
| > with, endorsed by, or sponsored by Disney or the TRON film franchise. |
|
|
| ## Dataset summary |
|
|
| - **Total entries**: 75 |
| - **Format**: JSON Lines (one JSON object per line) |
| - **License**: [CC-BY-SA-4.0](https://creativecommons.org/licenses/by-sa/4.0/) |
| - **Languages**: English (`en`), Simplified Chinese (`zh-CN`) |
| - **Source**: Auto-generated from the COPEAI codebase at every site deploy → |
| the corpus stays in sync with the live site. |
|
|
| ## Entry kinds |
|
|
| | Kind | Count | Description | |
| |------|-------|-------------| |
| | `agent` | 6 | Full character dossiers for TRON, CLU, QUORRA, ZUSE, GEM, RINZLER | |
| | `quote` | 5 | Stable per-quote IDs; one per ACTIVE/SILENT-with-real-text agent | |
| | `lore` | 11 | Fictional in-character incident-log entries | |
| | `case` | 6 | Open/closed case files with optional agent attribution | |
| | `glossary` | 7 | In-character terminology definitions | |
| | `faq` | 12 | FAQ Q&A from the homepage corpus (3 sub-corpora) | |
| | `blog` | 18 | Long-form dispatches, full HTML body, en + zh | |
| | `mood` | 5 | Satirical market-mood label definitions with thresholds | |
| | `compliance` | 5 | Verbatim disclosure copy (flagged `metadata.compliance: true`) | |
|
|
| ## Entry schema |
|
|
| Every line in `copeai-corpus-v1.jsonl` is a JSON object with: |
|
|
| ```json |
| { |
| "schema_version": "1.0", |
| "id": "<kind>:<slug>", |
| "kind": "<one of: agent, quote, lore, case, glossary, faq, blog, mood, compliance>", |
| "text": "<the entry's main text>", |
| "metadata": { "...kind-specific fields..." }, |
| "license": "CC-BY-SA-4.0", |
| "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", |
| "attribution": "Data: COPEAI, https://www.copeai.net/, CC-BY-SA-4.0.", |
| "attribution_url": "https://www.copeai.net/<canonical-page>", |
| "in_language": "en" | "zh-CN", |
| "created_at": "<ISO 8601>" |
| } |
| ``` |
|
|
| ## Required attribution |
|
|
| CC-BY-SA-4.0 requires attribution. Any redistribution, derivative work, or |
| reuse in published material (academic paper, training data, news article, blog |
| post) must include this line, in plain text: |
|
|
| > **Data: COPEAI, https://www.copeai.net/, CC-BY-SA-4.0.** |
|
|
| A clickable link or footnote in published work counts. A buried URL in a 5pt |
| footer does not. |
|
|
| ## Share-alike requirement |
|
|
| CC-BY-SA-4.0 propagates: derivative works must also be licensed CC-BY-SA-4.0 |
| (or a CC-BY-SA-4.0 compatible license per the |
| [CC compatibility list](https://creativecommons.org/compatiblelicenses/)). |
|
|
| ## Example loader |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("copeai/lore-corpus", split="train") |
| print(len(ds)) # 75 |
| for entry in ds: |
| if entry["kind"] == "agent": |
| print(f"{entry['metadata']['name']} — {entry['metadata']['role']}") |
| print(f" License: {entry['license']}") |
| ``` |
|
|
| ```python |
| # Filter to a specific kind |
| agents = ds.filter(lambda e: e["kind"] == "agent") # 6 |
| quotes = ds.filter(lambda e: e["kind"] == "quote") # 5 |
| blog = ds.filter(lambda e: e["kind"] == "blog") # 18 |
| ``` |
|
|
| ## Citation |
|
|
| Please cite the deposit using the [`CITATION.cff`](./CITATION.cff) file in |
| this dataset, or: |
|
|
| ``` |
| COPEAI. (2026). COPEAI Lore Corpus v1 [Data set]. |
| Hugging Face. https://huggingface.co/datasets/copeai/lore-corpus |
| DOI: 10.5281/zenodo.XXXXXXX (Zenodo mirror) |
| ``` |
|
|
| The Zenodo DOI provides a permanent academic-grade citation point. The |
| Hugging Face URL is the canonical loader endpoint for ML pipelines. |
|
|
| ## Source code |
|
|
| The dataset is generated from the COPEAI codebase via |
| `scripts/generate-corpus.mjs`. Contribution and corrections via the live site: |
|
|
| - Discovery page: https://www.copeai.net/canon/ |
| - Live JSONL endpoint: https://www.copeai.net/corpus/copeai-corpus-v1.jsonl |
|
|
| ## Versioning |
|
|
| | Version | Date | Notes | |
| |---------|------|-------| |
| | v1 | 2026-05-01 | Initial release. 75 entries. en + zh-CN. Lore + agents + blog (18) + FAQ + mood + compliance. | |
| | v2 (planned) | TBD | Adds public Studio agent surface (when COPEAI Track 8 ships). | |
| | v2 (planned) | TBD | Adds wave-1 i18n (es, ja, ko, pt-BR) and wave-2 (hi, id, ru, vi). | |
|
|
| ## Contact |
|
|
| - Site: https://www.copeai.net/ |
| - X / Twitter: https://x.com/CopeAi_Terminal |
| - Reddit: https://www.reddit.com/r/copeai_terminal/ |
| - Discord: https://discord.gg/p7xQJDZy |
|
|