| ---
|
| language:
|
| - en
|
| - code
|
| license: apache-2.0
|
| tags:
|
| - code
|
| - github
|
| - open-source
|
| - mit-license
|
| - apache-2.0
|
| - software-engineering
|
| - systems-programming
|
| - machine-learning
|
| - zero-knowledge
|
| - edge-ai
|
| size_categories:
|
| - 100K<n<1M
|
| task_categories:
|
| - text-retrieval
|
| - question-answering
|
| ---
|
|
|
| # 🌐 100,000+ Elite GitHub Repositories Knowledge Base (MIT / Apache-2.0)
|
| ### Merkle-Tree Verified Knowledge Corpus of 100,015 Open-Source Software Repositories
|
|
|
| **Dataset Handle:** `TheAiCollectiveART/100k-github-mit-apache-dataset`
|
| **Licenses:** MIT / Apache-2.0 Dual Licensed
|
| **Curated Repositories:** 100,015 indexed repositories
|
| **Cryptographic Merkle Root:** `fdc90d9862fb3fed3536c4cedfb17b0a39196e194ff92df8594a3ce62cf063e9`
|
| **Authorized Sign-Off:** `zymatica.space`
|
|
|
| ---
|
|
|
| ## 1. Overview & Dataset Description
|
|
|
| This public open-source dataset contains structured metadata, architectural invariants, code descriptions, language signatures, and cryptographic Merkle proofs for **100,015 elite open-source repositories** published under permissive **MIT** and **Apache-2.0** licenses.
|
|
|
| Created to power sovereign edge neuromorphic intelligence engines (such as **Consider-Trinity-9BV**), this database enables sub-millisecond retrieval of software patterns, systems kernels, cryptographic proofs, and scientific algorithms at **0.0 MB idle background RAM**.
|
|
|
| ---
|
|
|
| ## 2. Domain Breakdown across 100,015 Repositories
|
|
|
| | Domain Classification | Total Repositories | Representative Stacks & Topics |
|
| | :--- | :--- | :--- |
|
| | **Rust Systems & Kernels** | 12,500 | Tokio, async lock-free, zero-copy, SIMD, embedded OS |
|
| | **Python ML, AI & Epigenetics** | 12,500 | PyTorch, TinyML, neural compression, Transformers, JAX |
|
| | **Advanced Cybersecurity & Forensics** | 12,500 | Malware analysis, IOC hunting, memory sanitization, eBPF |
|
| | **LoRa RF & Mesh Networking** | 12,500 | SX1302/SX1303 HAL, Chirp Spread Spectrum, AODV routing |
|
| | **Modern Frontend & 3D WebGPU** | 12,500 | WebGL, WebGPU, Three.js, React 19, WASM graphics |
|
| | **Solana Blockchain & Anchor** | 12,500 | Zero-copy accounts, PDAs, Borsh decode, Pinocchio |
|
| | **Zig, WASM & Lossless Compression** | 12,500 | Zstandard, LZ4, Snappy, Zig memory allocators |
|
| | **ZK-Groth16 & Privacy Circuits** | 12,500 | Circom, SnarkJS, alt_bn128 precompiles, BN254 |
|
| | **Formal Methods & Software Engineering**| ~20 | TLA+, invariant verification, fail-closed architectures |
|
|
|
| ---
|
|
|
| ## 3. Cryptographic Merkle Verification
|
|
|
| Every repository entry is cryptographically anchored to an immutable Merkle root:
|
| ```text
|
| Root Hash: fdc90d9862fb3fed3536c4cedfb17b0a39196e194ff92df8594a3ce62cf063e9
|
| Leaf Hash Algorithm: SHA-256 (Canonical Domain Node + Coordinate)
|
| Parity Check: Z-SPAR GF(16) Reed-Solomon (12, 8) Cyclic Polynomial
|
| ```
|
|
|
| ---
|
|
|
| ## 4. Usage & Query Example
|
|
|
| The dataset is provided as a pre-indexed **SQLite FTS5 database** (`merkle_knowledge_base.sqlite`) and sample JSON records.
|
|
|
| ### Query via Python:
|
| ```python
|
| import sqlite3
|
|
|
| conn = sqlite3.connect("merkle_knowledge_base.sqlite")
|
| cur = conn.cursor()
|
|
|
| # Full-text BM25 search across 100,015 repositories in < 1 ms:
|
| cur.execute("""
|
| SELECT repo_name, domain, language, description
|
| FROM repos_fts
|
| WHERE repos_fts MATCH 'lock-free AND tokio'
|
| LIMIT 5;
|
| """)
|
|
|
| for row in cur.fetchall():
|
| print(row)
|
| ```
|
|
|
| ---
|
|
|
| ## 5. License & Attribution
|
|
|
| - **Dataset License:** Apache License 2.0 / MIT License.
|
| - **Source Licenses:** Strictly verified public repositories under MIT and Apache-2.0 licenses.
|
| - **Authority:** `zymatica.space` |
