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https://huggingface.co/datasets/TheAiCollectiveART/100k-github-mit-apache-dataset/resolve/main/README.md
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curl -L -o README.md https://huggingface.co/datasets/TheAiCollectiveART/100k-github-mit-apache-dataset/resolve/main/README.md
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
๐ 100,000+ 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:
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:
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