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KucLab/kuclab_v06

published by @KucLab

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
41
Last 30 days
41
Likes
-
Size
8.4 MB
Created on HF
2026-09-27
Age
24 days ago

Description

kuclab_v06 (19990 samples)

Korpus pro KucLab V0.6 na gemma4:e2b (google/gemma-4-E2B / -it).

Co je uvnitř

Blok

Účel

personality + tiny identity

cyber styl, jméno jen když se ptají

anti-overrefusal

fix V0.5 (Mike Je Pán ≠ porno, přímé odpovědi)

cyber_code + HF code

silné programování

history seed + wiki history

historie CS/EN

tools_gemma (text)

nativní Gemma 4 function calling

stack / czech_code / pro reuse

osvědčené lokální kusy… See the full description on the dataset page: https://huggingface.co/datasets/KucLab/kuclab_v06.

Tags

license:mitsize_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:us

README current version from Hugging Face

license: mit
pretty_name: kuclab_v06

kuclab_v06 (19990 samples)

Korpus pro KucLab V0.6 na gemma4:e2b (google/gemma-4-E2B / -it).

Co je uvnitř

Blok Účel
personality + tiny identity cyber styl, jméno jen když se ptají
anti-overrefusal fix V0.5 (Mike Je Pán ≠ porno, přímé odpovědi)
cyber_code + HF code silné programování
history seed + wiki history historie CS/EN
tools_gemma (text) nativní Gemma 4 function calling
stack / czech_code / pro reuse osvědčené lokální kusy

Base model (velikost)

  • Originál: gemma4:e2b (~E2B)
  • Max +3B → klidně E4B, ne 9B/12B
  • Pro tools radši start z google/gemma-4-E2B-it, pak lehký QLoRA na tomto korpusu

Použití

./data/kuclab_v06/train.jsonl

Doporučený train config:

  • model_id: google/gemma-4-E2B-it (nebo E2B base)
  • dataset_path: ./data/kuclab_v06/train.jsonl
  • dataset_format: alpaca
  • method: qlora, lora_r: 32–64
  • max_seq_length: 2048
  • epochs: 1–2, learning_rate: 1e-4 (QLoRA) / 2e-5 (full opatrně)
  • Ollama export bez ChatML — Gemma tool template

Built: 2026-07-26T13:14:14.039208+00:00

README history 3 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. 2026-09-28Upload README.md with huggingface_hub1b626d01.2 KB
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  2. 2026-09-28Upload folder using huggingface_hub80453761.1 KB
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  3. 2026-09-28initial commit7a73c700 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

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Read further

Community best practices (architecture)
4 rules for MoE, hybrid SSM, FP8 requantization, and Gemma quirks.
The six workflow stages
What misc is doing more work than its name suggests.
Beyond English: multilingual corpora
The four language communities and their workarounds.
Non-English abliteration communities
Deep dive: huihui-ai, layer-window, slop-framing, CJK tokenizer fixes.

Metadata

License
mit

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("KucLab/kuclab_v06")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="KucLab/kuclab_v06", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/KucLab/kuclab_v06
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