---
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