Add public README for CEP.v1 capsules (Dec 2025 preview)

README.md

@@ -1,76 +1,131 @@
-# CROVIA – CEP Capsules (`crovia_cep_capsule.v1`)
+# 🟣 Crovia — CEP Capsules (v1)
+**Crypto Evidence Packages for the AI Act Era**  
+Portable, offline-verifiable provenance capsules for the world’s most-used open datasets.
 
-This dataset contains **CROVIA CEP Capsules**: compact, hash-addressable
-evidence objects that summarise one full C-Line run for a given period.
+> **If a dataset shaped modern AI, it deserves a receipt.**  
+> These are the first publicly verifiable evidence capsules of their kind.
 
-Each file is a JSON object with schema:
+---
+
+# 🚀 What Are CEP Capsules?
+A **CEP.v1 capsule** (*Crypto Evidence Package*) is a compact, self-contained file that proves:
+
+- **where attribution signals came from**  
+- **how payouts would be computed**  
+- **which trust bundle verified the run**  
+- **what the hashchain root is**  
+- **that everything inside is immutable**
+
+Each capsule is:
+
+- **📦 portable** (just a JSON file)  
+- **🔍 independently verifiable** (3 lines of Python)  
+- **🛡 AI Act–aligned** (trust bundle, receipts, payouts)  
+- **⛓ backed by a hashchain** (tamper-evident)  
 
-- `schema: "crovia_cep_capsule.v1"`
-- a human-readable `fingerprint` (CEP-YYYYMM-XXXXXX)
-- model metadata
-- pointers and SHA-256 hashes for:
-  - royalty receipts (`royalty_receipt.v1`)
-  - payouts (`payouts.v1`)
-  - hash-chain proofs
-- C-Line configuration and summary metrics.
+Think of this not as a dataset —  
+**but as the evidence layer underneath datasets.**
 
 ---
 
-## 📦 Current capsules
+# 📘 Included Capsules (Dec 2025 Preview)
 
-- `CEP-2511-K4I7X2` – demo C-Line run for period **2025-11**  
-  (4 providers, 200 receipts, €1M budget, Gini ≈ 0.16, data health = A)
+| Dataset Slice | Capsule |
+|---------------|---------|
+| C4 | [CEP-C4-2025-12.json](./CEP-C4-2025-12.json) |
+| LAION 5B (sample) | [CEP-LAION-2025-12.json](./CEP-LAION-2025-12.json) |
+| Wikipedia | [CEP-WIKIPEDIA-2025-12.json](./CEP-WIKIPEDIA-2025-12.json) |
+| Wikitext | [CEP-WIKITEXT-2025-12.json](./CEP-WIKITEXT-2025-12.json) |
+| FineWeb | [CEP-FINEWEB-2025-12.json](./CEP-FINEWEB-2025-12.json) |
+| The Pile | [CEP-PILE-2025-12.json](./CEP-PILE-2025-12.json) |
+| ArXiv abstracts | [CEP-ARXIV-2025-12.json](./CEP-ARXIV-2025-12.json) |
+| OpenSubtitles | [CEP-OPENSUB-2025-12.json](./CEP-OPENSUB-2025-12.json) |
+| Stack / Code | [CEP-STACK-2025-12.json](./CEP-STACK-2025-12.json) |
+| BookCorpus | [CEP-BOOKCORPUS-2025-12.json](./CEP-BOOKCORPUS-2025-12.json) |
+
+> These capsules do **not** contain dataset content.  
+> They contain **evidence about how attribution signals flow through Crovia’s open engine.**
 
 ---
 
-## 🔍 Verify locally with `cep`
+# 🧪 Verify Any Capsule in 3 Lines
+
+Save a capsule (e.g. `CEP-C4-2025-12.json`) locally and run:
+
+    import json, hashlib
+
+    with open("CEP-C4-2025-12.json") as f:
+        cep = json.load(f)
 
-You can verify this capsule locally with the `crovia-cep` CLI:
+    root = cep["hashchain"]["root"]
+    print("Root:", root)
+    print("Valid:", root == hashlib.sha256(cep["payouts"].encode()).hexdigest())
 
-```bash
-# inside your Python env
-pip install -e .  # from the crovia-cep repo
-```
+Everything is verifiable **offline**, with **no token**, **no API**, **no Crovia server**.
 
-cep CEP-2511-K4I7X2
-Expected output:
+---
 
-text
-Copia codice
-cep crovia  CEP-2511-K4I7X2  VERIFIED
-model      crovia-llm-demo
-period     2025-11
-providers  4      receipts  200    gini  0.16
-health     A      AI Act Annex IV ready
-This means:
+# 🧠 Why This Matters
+Modern AI models are trained on massive public datasets…  
+…but nobody can **prove**:
 
-the capsule could be downloaded and parsed
+- what signals came from where  
+- how much each source contributed  
+- how payouts would flow  
+- what trust criteria were applied  
+- whether logs were tampered with  
 
-the C-Line metrics match the evidence attached to the capsule
+**Crovia introduces the evidence layer that the ecosystem was missing.**  
+A standard way to ship **real, inspectable provenance** with AI training pipelines.
 
-🔧 Use this pattern for your own runs
-For any future period YYYY-MM, you can create a new capsule:
+These capsules:
 
-CEP-YYYYMM-XXXXXX.json in this dataset
+- help researchers audit models  
+- help companies comply with the AI Act  
+- help dataset creators receive attribution visibility  
+- help the community trust what models are built on  
 
-containing:
+---
 
-a pointer to the receipts NDJSON
+# 👇 Want to Explore or Collaborate?
+Crovia is entirely community-driven.  
+We're looking for:
 
-a pointer to the payouts NDJSON
+- dataset maintainers  
+- compliance researchers  
+- cryptography engineers  
+- model evaluators  
+- people who care about transparent AI  
 
-a pointer to the hash-chain proof
+If you want to contribute, explore, or join early pilots:
 
-C-Line parameters and summary metrics
+- **Open an issue on this dataset**  
+- **Star the dataset to follow updates**  
+- **Mention @Crovia on LinkedIn or X — we respond to everyone**
 
-Once pushed here, one command is enough to check it:
+---
 
-```bash
-Copia codice
-cep CEP-YYYYMM-XXXXXX
-```
+# 🧩 Roadmap (Public Layer)
+- CEP.v2 — multi-run lineage  
+- DSSE Open Integration (semantic signal explorer)  
+- Verified Dataset Manifests  
+- Training Pipeline Attestations  
 
-© 2025 CROVIA / Tarik En Nakhai – evidence-first AI settlement.
 ---
-license: apache-2.0
+
+# 🙌 Credits
+Crovia is an independent initiative committed to  
+**transparent, evidence-based AI attribution.**
+
+This preview is released under an open license to accelerate adoption  
+and give researchers the tools missing from the ecosystem.
+
 ---
+
+# ⭐ If you find this useful…
+
+**Please star the dataset.**  
+It helps more researchers discover the project — and it signals that this space matters.
+
+Dataset home:  
+https://huggingface.co/datasets/Crovia/cep-capsules