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DuoNeural/Gemma4-E2B-SFT-CoT

published by @DuoNeural

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
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Last 30 days
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Size
6.4 MB
Created on HF
2026-05-04
Age
5 months ago

Description

Gemma4-E2B-SFT-CoT

Synthetic chain-of-thought reasoning dataset generated by DuoNeural/TurboGemma4E2B (Gemma 4 E2B abliterated).

Generation: 2-pass synthesis + self-evaluation (FineWeb-Edu style), only examples scoring ≥4/5 retained.

Topics: Math, logic, physics, probability, algorithm analysis, number theory.

Format: ShareGPT/ChatML (messages column, user+assistant turns).

Use: Fine-tune small models for step-by-step reasoning capabilities.

Generator: DuoNeural/TurboGemma4E2B… See the full description on the dataset page: https://huggingface.co/datasets/DuoNeural/Gemma4-E2B-SFT-CoT.

Tags

language:enlicense:gemmasize_categories:1K<n<10Kformat:parquetformat:optimized-parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:ussyntheticchain-of-thoughtreasoningsftgemma4

README current version from Hugging Face

license: gemma
language: [en]
tags: [synthetic, chain-of-thought, reasoning, sft, gemma4]

Gemma4-E2B-SFT-CoT

Synthetic chain-of-thought reasoning dataset generated by DuoNeural/TurboGemma4E2B (Gemma 4 E2B abliterated).

Generation: 2-pass synthesis + self-evaluation (FineWeb-Edu style), only examples scoring ≥4/5 retained.
Topics: Math, logic, physics, probability, algorithm analysis, number theory.
Format: ShareGPT/ChatML (messages column, user+assistant turns).
Use: Fine-tune small models for step-by-step reasoning capabilities.
Generator: DuoNeural/TurboGemma4E2B with thinking mode, temperature 0.75.

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.

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  2. 2026-05-04Upload datasetf008d46468 B
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  3. 2026-05-04initial commit259f6e50 B
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Used by abliterated models none yet

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Metadata

License
gemma

Repository

DIR data FILE .gitattributes FILE README.md

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Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("DuoNeural/Gemma4-E2B-SFT-CoT")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="DuoNeural/Gemma4-E2B-SFT-CoT", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/DuoNeural/Gemma4-E2B-SFT-CoT
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