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Jkkkkkkkkksks/monico-training-data

published by @Jkkkkkkkkksks

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
79
Last 30 days
12
Likes
-
Size
4 KB
Created on HF
2026-06-04
Age
4 months ago

Description

Monico Training Data

Official training corpus for Monico Model — a ground-up uncensored LLM.

Sources

Data is collected, filtered, and deduplicated via the pipeline at jaykk99/monico-model.

Domain

Sources

Tokens (est.)

Offensive Security

Exploit-DB, CVE NVD, GitHub sec repos

~20B

Hacking / OSINT

CTF writeups, forums, research papers

~15B

Code (all langs)

The Stack v2, GitHub (permissive)

~400B

Smart Contracts

Etherscan verified contracts, Solidity… See the full description on the dataset page: https://huggingface.co/datasets/Jkkkkkkkkksks/monico-training-data.

Tags

language:enlicense:apache-2.0size_categories:100B<n<1Tregion:uscodecybersecurityhackingcryptodevopsuncensoredmonico

README current version from Hugging Face


license: apache-2.0
language:

  • en
    tags:
  • code
  • cybersecurity
  • hacking
  • crypto
  • devops
  • uncensored
  • monico
    pretty_name: Monico Training Data
    size_categories:
  • 100B<n<1T

Monico Training Data

Official training corpus for Monico Model — a ground-up uncensored LLM.

Sources

Data is collected, filtered, and deduplicated via the pipeline at jaykk99/monico-model.

Domain Sources Tokens (est.)
Offensive Security Exploit-DB, CVE NVD, GitHub sec repos ~20B
Hacking / OSINT CTF writeups, forums, research papers ~15B
Code (all langs) The Stack v2, GitHub (permissive) ~400B
Smart Contracts Etherscan verified contracts, Solidity docs ~10B
Crypto / DeFi DeFi protocol docs, audit reports, MEV research ~8B
DevOps Docker Hub docs, K8s docs, Terraform examples ~15B
App Building Full-stack tutorials, architecture patterns ~20B
Account Automation Browser automation scripts, signup research ~5B
Business Automation Lead gen, outreach, workflow scripts ~5B
General Knowledge Books, Wikipedia, arXiv, reasoning datasets ~200B

Processing

See src/data/preprocess.py in the GitHub repo for full pipeline:

  1. HTML/PDF → clean text
  2. MinHash LSH deduplication (Jaccard threshold 0.8)
  3. Quality filtering (perplexity, length, code syntax)
  4. BPE tokenization (custom 65k vocab)
  5. Context packing (8192 token windows)

GitHub Import

git clone https://github.com/jaykk99/monico-model
cd monico-model/src/data
pip install -r requirements.txt
python collect_github.py --domains security hacking crypto devops
python collect_hf_datasets.py
python preprocess.py --output data/processed/

README history 2 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-06-04Add dataset card — Monico training corpus documentation95aff601.8 KB
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  2. 2026-06-04initial commitfe3645e0 B
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Used by abliterated models none yet

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Metadata

License
apache-2.0

Repository

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("Jkkkkkkkkksks/monico-training-data")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="Jkkkkkkkkksks/monico-training-data", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/Jkkkkkkkkksks/monico-training-data
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