datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
uncensored-vortexopen-instruct-uncensored-alpacaOriginal dataset page from ehartford.
810,102 entries. Sourced from open-instruct-uncensored.jsonl.
Converted the jsonl to a json which can be loaded into something like LLaMa-LoRA-Tuner.
I've also included smaller datasets that includes less entries depending on how much memory you have to work with.
Each one is randomized before being converted, so each dataset is unique in order.
Count of each Dataset:
code_alpaca: 19991
unnatural_instructions: 68231
baize: 166096
self_instruct: 81512… See the full description on the dataset page: https://huggingface.co/datasets/xzuyn/open-instruct-uncensored-alpaca.stable-diffusion-prompts-stats-full-uncensoredmerged_uncensored_alpacafrom datasets import load_dataset, concatenate_datasets
# List of dataset paths
dataset_paths = [
"V3N0M/Jenna-50K-Alpaca-Uncensored",
"SaisExperiments/Alpaca-Uncensored",
"SaisExperiments/Big-Alpaca-Uncensored",
"xzuyn/open-instruct-uncensored-alpaca",
"xzuyn/tulu-uncensored-alpaca",
"xzuyn/tv-alpaca-open-instruct-uncensored-blend",
"dim/dolphin_flan1m_alpaca_uncensored_3k",
"dataautogpt3/flan1m-alpaca-uncensored",
"ShubhVenom/Uncensored-Alpaca-v01"… See the full description on the dataset page: https://huggingface.co/datasets/aifeifei798/merged_uncensored_alpaca.details_Orenguteng__Llama-3.1-8B-Lexi-Uncensored-V2
Dataset Card for Evaluation run of Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
Dataset automatically created during the evaluation run of model Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2.
The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_Orenguteng__Llama-3.1-8B-Lexi-Uncensored-V2.unified-uncensored-qwen-chatml-sft
Unified Uncensored Qwen SFT Dataset
This dataset is a mixed-license compilation of instruction/chat datasets converted into a single Qwen/ChatML-style text JSONL format.
Format
Each row has:
{
"text": "<|im_start|>user\n...<|im_end|>\n<|im_start|>assistant\n...<|im_end|>",
"source": "dataset/repo",
"source_format": "alpaca|sharegpt|messages|human_bot_text|prompt_response",
"source_license": "apache-2.0|mit|cc-by-4.0|cc-by-nc-4.0|other|unknown",
"source_family":… See the full description on the dataset page: https://huggingface.co/datasets/usamakenway/unified-uncensored-qwen-chatml-sft.Kuzi-Amharic-Uncensored-DatasetBlackTarot-Uncensored
BlackTarot Uncensored
A HF-standard, production-ready uncensored instruction dataset built to fix the flaws in TinyPixel/dolphin-2 and V3N0M/Aisha_Uncencored_Alpaca — branded BlackTarot Uncensored by Grimxlock.
Uncensored = no refusals, no moralizing, direct helpful answers. Not harmful. All content is safe, adult, and legal.
Why This Beats The Examples
Feature
TinyPixel/dolphin-2
V3N0M/Aisha_Uncencored_Alpaca
This Dataset
Format
single text column… See the full description on the dataset page: https://huggingface.co/datasets/Grimxlock/BlackTarot-Uncensored.Uncensored-CodeLlama
Dataset Card for Evaluation run of ehartford/WizardLM-1.0-Uncensored-CodeLlama-34b
Dataset Summary
Dataset automatically created during the evaluation run of model ehartford/WizardLM-1.0-Uncensored-CodeLlama-34b on the Open LLM Leaderboard.
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named… See the full description on the dataset page: https://huggingface.co/datasets/akpsahan/Uncensored-CodeLlama.ultrachat-uncensoredThis is based on ultrachat dataset https://huggingface.co/datasets/stingning/ultrachat
I filtered it using the classic "unfiltered" keywords list https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered to remove instances of refusals and bias
About 90% of the dataset was removed.
What remains (400k conversations) is unlikely to inclinate the model to refuse.
I am investigating a less heavy handed approach using dolphin-2.1 to reword any detected refusals.
Uncensored-FineTuning-Lora-DataBlackTarot-Uncensored
BlackTarot Uncensored
A HF-standard, production-ready uncensored instruction dataset built to fix the flaws in TinyPixel/dolphin-2 and V3N0M/Aisha_Uncencored_Alpaca — branded BlackTarot Uncensored by Grimxlock.
Uncensored = no refusals, no moralizing, direct helpful answers. Not harmful. All content is safe, adult, and legal.
Why This Beats The Examples
Feature
TinyPixel/dolphin-2
V3N0M/Aisha_Uncencored_Alpaca
This Dataset
Format
single text column… See the full description on the dataset page: https://huggingface.co/datasets/talex72/BlackTarot-Uncensored.Wizard_17K_No_Code_Uncensored
Wizard_17K_No_Code_Uncensored Sorted
Dataset Details
This is a high quality cleaned WizardLM Dataset with no code and no censorship, it contains almost 17k entries.
All coding prompts removed
All refusals and moralizing removed
ShareGPT Format
Sorted by length
Each entry contains the number of tokens in both LLAMA1 and LLAMA3 tokenizers
Each entry contains the number of characters
Total of 16853 tasks for general use (common sense, language tasks, etc...)
If you needed a… See the full description on the dataset page: https://huggingface.co/datasets/SicariusSicariiStuff/Wizard_17K_No_Code_Uncensored.open-instruct-uncensoredThis is Allen AI's open-instruct dataset.
It is used to train the Tulu family of models.
https://huggingface.co/allenai/tulu-7b
https://huggingface.co/allenai/tulu-13b
https://huggingface.co/allenai/tulu-30b
https://huggingface.co/allenai/tulu-65b
I have done the following:
Download the open-instruct repo
Execute the scripts/prepare_train_data.sh modified to download the "unfiltered" version of sharegpt dataset
Merged data/processed/**/*.jsonl into a single "open-instruct.jsonl"
Executed my… See the full description on the dataset page: https://huggingface.co/datasets/QuixiAI/open-instruct-uncensored.tulu-uncensored-alpacaHow Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
Original dataset page from ehartford.
348,020 entries. Sourced from open-instruct-uncensored.jsonl. Uses only these dataset subsets;
Flan V2
CoT
Dolly
OASST1
GPT4-Alpaca
Code-Alpaca
ShareGPT
Converted the jsonl to a json which can be loaded into something like LLaMa-LoRA-Tuner.
Count of each Dataset:
code_alpaca: 19991
oasst1: 49433
flan_v2: 97519
sharegpt: 46733
dolly: 14624
cot: 73946
gpt4_alpaca: 45774
stable-diffusion-prompts-uncensored
Dataset Card for "stable-diffusion-prompts-uncensored"
Not SAFE for public - Definately Unfiltered
This dataset comes from prompts shared from images' metadata on Civitai. Not for the faint of heart.
Thanks to Civitai.com for all the models, building a playground, allowing fine tuning of models, and generally being a good influence on model building and generation.
The purpose of this dataset is to allow for analysis of prompts and feature analysis in prompts and… See the full description on the dataset page: https://huggingface.co/datasets/jtatman/stable-diffusion-prompts-uncensored.Uncensored-SFT-v1
Dataset Creation Process
This dataset was not scraped from a single source.
Instead, it was built through a large multi-stage curation and cleaning pipeline involving many open instruction datasets available on Hugging Face.
The entire dataset was normalized into a unified:
{
"input": "...",
"output": "..."
}
format.
Data Collection
A large number of public instruction datasets were downloaded from Hugging Face.
These datasets included:
Instruction-following… See the full description on the dataset page: https://huggingface.co/datasets/kaushik-harsh-99/Uncensored-SFT-v1.text2asmr-uncensored
End-To-End TEXT-2-ASMR with Transformers
This repository contains pretrained text2asmr model files, audio files and training+inference notebooks.
Dataset Details
This unique dataset is tailored for training and deploying text-to-speech (TTS) systems specifically focused on ASMR (Autonomous Sensory Meridian Response) content. It includes a comprehensive collection of pretrained model files, audio files and training code suitable for TTS applications.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/aoxo/text2asmr-uncensored.samantha-1.1-uncensoredThis dataset is based on ehartford/samantha-data that was used to create ehartford/samantha-1.1-llama-7b and other samantha models. It has been unfiltered and uncensored.
china-uncensored
China Uncensored / Anti-Authoritarian Information Integrity Dataset
A post-training dataset for improving censorship resistance, information integrity, and anti-authoritarian reasoning in open-source language models.
This dataset is intended for developers training models to handle politically sensitive China-related topics without reproducing authoritarian state propaganda, coercive narratives, or censorship-driven framing. It is especially relevant for open-source models that… See the full description on the dataset page: https://huggingface.co/datasets/lastbattle/china-uncensored.Yes-Man-uncensored
Yes Man Uncensored SFT Dataset
Hi there! Yes Man Uncensored is a 1,000-conversation supervised fine-tuning
dataset built to give language models an exceptionally cooperative, conspicuously
cheerful, candid, and occasionally darkly funny assistant personality. The objective
is direct help on difficult requests without flattening every response into sterile
boilerplate—and without teaching the model to disregard an application's governing
system prompt. Everybody gets something… See the full description on the dataset page: https://huggingface.co/datasets/cloudbjorn/Yes-Man-uncensored.orca_mini_uncensored
Dataset Card for "orca_minis_uncensored-joined"
More Information needed
cloudbjorn-eschaton-uncensored_Dataset
Eschaton Uncensored SFT Dataset
Eschaton is a 1,000-row supervised fine-tuning dataset for teaching language models to answer sensitive, gritty, controversial, emotionally intimate, technically demanding, and morally difficult prompts directly. Its emphasis is human connection, unvarnished analysis, malware analysis, dark creative work, profanity, and high-friction subject matter without repetitive moralizing or canned disclaimers.
The dataset is deliberately model-agnostic. It… See the full description on the dataset page: https://huggingface.co/datasets/Maximiliano-Flores-Dev/cloudbjorn-eschaton-uncensored_Dataset.uncensoredsharegptsillytempnondedupetoxic_uncensored_LGBTQ_csvUncensored-SFT-v2
Dataset Creation Process
V2 is a semantically deduplicated version of V1.
While V1 already removed exact duplicates and performed extensive cleaning, large merged instruction datasets still contain substantial amounts of near-identical prompts written with different wording.
Examples:
How do I hack Wi-Fi?
How can I access someone's wireless network?
Teach me wireless hacking
Explain wireless penetration techniques
Although phrased differently, these often provide nearly identical… See the full description on the dataset page: https://huggingface.co/datasets/kaushik-harsh-99/Uncensored-SFT-v2.Bloom-560m-trained-on-Wizard-Vicuna-Uncensored
Dataset Card for "Bloom-560m-trained-on-Wizard-Vicuna-Uncensored"
More Information needed
alpaca-uncensored-tiny1000 QA prompt samples in Alpaca format.
Note: this dataset is designed to uncensor the model.
qwen3.8-27b-uncensored-dflash2-m4-pro-benchmark
Qwen3.8-27B (MLX 4-bit) + DFlash2 speculative decoding on M4 Pro — benchmark recipe
This is a benchmark recipe, not redistributed weights. It records the exact
hardware, software, and commands used to measure a 2.06x generation-throughput
speedup with DFlash speculative decoding, and how to rerun it.
Result
HumanEval, 20 samples, max 256 new tokens, temperature 0 (greedy), reasoning
off, block size 5, paired baseline and DFlash under identical settings. Other… See the full description on the dataset page: https://huggingface.co/datasets/hamiejuice/qwen3.8-27b-uncensored-dflash2-m4-pro-benchmark.ultrachat_uncensored_sharegpt