datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
open-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.WizardLM_alpaca_evol_instruct_70k_unfilteredThis dataset is the WizardLM dataset victor123/evol_instruct_70k, removing instances of blatant alignment.
54974 instructions remain.
inspired by https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered
All credit to anon8231489123 for the cleanup script that I adapted to wizardlm_clean.py
license: apache-2.0
language:
- en
pretty_name: wizardlm-unfiltered
French-Alpaca-dataset-Instruct-110K110368 French instructions generated by OpenAI GPT-3.5-turbo in Alpaca Format to finetune general models
Created by Jonathan Pacifico, 2024Please credit my name if you use this dataset in your project.
French-Alpaca-dataset-Instruct-55K55184 french instructions generated by OpenAI GPT-3.5
in Alpaca Format to finetune general models
Created by Jonathan Pacifico
license: apache-2.0
Please credit my name if you use this dataset in your project.
alpaca-instruct-ind-instructionretrieval
alpaca-instruct-ind-instructionretrieval
Deduplicated copy of kornwtp/alpaca-instruct-ind-instructionretrieval,
part of the SEA-BED data-quality work.
Source dataset: kornwtp/alpaca-instruct-ind-instructionretrieval
Deduplicated on: 2026-09-04
Task type: instruction_retrieval
Splits: train
What changed
Kept in this dataset's ORIGINAL schema -- same columns, including the fields the retrieval view discards (Input, output, type, rating). Outputs differing only in… See the full description on the dataset page: https://huggingface.co/datasets/puttatidam/alpaca-instruct-ind-instructionretrieval.WizardLM_alpaca_claude_evol_instruct_70kWizardLM's instructions with Claude's outputs. Includes an unfiltered version as well.
code-alpaca-instruct-unfilteredThis dataset is HuggingFaceH4/CodeAlpaca_20K unfiltered, removing 36 instances of blatant alignment.
19986 instructions remain.
https://huggingface.co/datasets/HuggingFaceH4/CodeAlpaca_20K/blob/29ba7b7fdf0c55e5435c848cf6bbf9782fef62a6/data/test-00000-of-00001.parquet
https://huggingface.co/datasets/HuggingFaceH4/CodeAlpaca_20K/blob/a123ae447f02484d83c3457438b4422cd8417ad5/data/train-00000-of-00001.parquet
i combined all of these files above into code_alpaca_data.jsonl with parquet2json and ran… See the full description on the dataset page: https://huggingface.co/datasets/ewof/code-alpaca-instruct-unfiltered.Alpaca_Evol_Instruct_CleanedAlpaca Evol Instruct cleaned of refusals, scrubbed of overly repetitive responses, aggresively deduplicated, and all URLs removed from the output. The final dataset has aproximately 54k instructions.
Base dataset https://huggingface.co/datasets/victor123/evol_instruct_70k
instruct-sft-alpaca-20k
Instruction SFT Alpaca Format (20K)
20,000 instruction-following examples in the Alpaca format — ready for supervised fine-tuning.
Format
Standard Alpaca format with three fields:
{
"instruction": "Write a Python function to check if a number is prime.",
"input": "",
"output": "```python\ndef is_prime(n: int) -> bool:\n ...\n```",
"category": "coding",
"id": "abc123"
}
When input is empty, the instruction is standalone. When input is present, it… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/instruct-sft-alpaca-20k.code_instruct_alpaca_vicuna_wizardlm_56k_backupBackup of code_instruct_alpaca_vicuna_wizardlm used in rombodawg/MegaCodeTraining112k
Link to the combined dataset bellow
https://huggingface.co/datasets/rombodawg/MegaCodeTraining112k
alpaca-Qwen2.5-7B-Instruct-generatedQwen3-4B-Instruct-2507-gsm8k-alpaca-dolly-generate-distillation7993open-instruct-uncensored-alpaca
Dataset Card for "open-instruct-uncensored-alpaca"
More Information needed
the-Embodiment-of-Scarlet-Devil-Instruct-Alpaca-QA-JP-v1
Converted QA Dataset
このデータセットは、easy-dataset-cliを使用して生成されたアルパカ形式の日本語Q&Aデータセットです。
データセット概要
総エントリ数: 97,202
形式: Alpaca形式
言語: 日本語
ライセンス: MIT
データ構造
各エントリは以下の形式です：
{
"instruction": "質問文",
"input": "",
"output": "回答文",
"genre": "ジャンル",
"audience": "対象読者"
}
ジャンル分布
含まれるジャンル:
FAQ
PRD
RFP/提案書
アーキレビュー
エグゼクティブサマリ
ガイドライン/ポリシー
ケーススタディ
セキュリティレビュー
チュートリアル
ハンズオン課題
ベストプラクティス集
ワークショップ資料
実験レポート
対話形式
技術ブログ
教科書
業界別ケーススタディ
法務チェックリスト
運用Runbook
対象読者分布… See the full description on the dataset page: https://huggingface.co/datasets/MakiAi/the-Embodiment-of-Scarlet-Devil-Instruct-Alpaca-QA-JP-v1.Alpaca_Instruct_Malayalamalpaca-Qwen2.5-32B-Instruct-generatedalpaca-Qwen2.5-7B-Instruct-ultrachat_200k
Dataset Card for alpaca-Qwen2.5-7B-Instruct-ultrachat_200k
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/billhdzhao/alpaca-Qwen2.5-7B-Instruct-ultrachat_200k/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info… See the full description on the dataset page: https://huggingface.co/datasets/billhdzhao/alpaca-Qwen2.5-7B-Instruct-ultrachat_200k.Alpaca_french_instruct
Dataset Card for "Alpaca_french_instruct"
More Information needed
alpaca-evol-instruct-turkishAlpaca_french_instruct_sftSelf-Discover-MM-Instruct-AlpacaGoulenn-Alpaca-Instruct-50k
Goulenn
A Breton Instructions Dataset called Goulenn (meaning "Question" in Breton).
Direct translation of the jpacifico/French-Alpaca-dataset-Instruct-110K by Jonathan Pacifico.
For now only 50k samples have been translated, 110k version soo to come...
Generation details available on the GweLLM Github repository.
Sample test code:
from datasets import load_dataset
dataset = load_dataset( path="amurienne/Goulenn-Alpaca-Instruct-50k",
split="train")… See the full description on the dataset page: https://huggingface.co/datasets/amurienne/Goulenn-Alpaca-Instruct-50k.alpaca-instruct-ind-instructionretrievalalpaca-Llama-3.1-8B-Instruct-31k
Dataset Card for alpaca-Llama-3.1-8B-Instruct-31k
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/billhdzhao/alpaca-Llama-3.1-8B-Instruct-31k/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/billhdzhao/alpaca-Llama-3.1-8B-Instruct-31k.olmo-3-7b-instruct_alpaca-text-generation-384
allenai/OLMo-3-7B-Instruct — alpaca-text-generation-384
Model outputs from the micro-creativity inference suite.
Model: allenai/OLMo-3-7B-Instruct
Dataset: alpaca-text-generation-384 (384 items)
Part of collection: ZachW/llm-creativity-benchmarks
Generation config
temperature: 0.0
max_tokens: 16384
seed: 42
backend: vllm
Columns
Column
Description
task_id
Unique task identifier
input
The exact prompt sent to the model (after… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/olmo-3-7b-instruct_alpaca-text-generation-384.azerbaijani-wiki-instruct-alpacaAn Azerbaijani instruction-following dataset in Alpaca format (instruction, input, output).Useful for supervised fine-tuning (SFT) to improve instruction following and long-form, explanatory answers in Azerbaijani.
Quick facts
Rows: 167,590
Split: train only
License: MIT
Main file: azerbaijani_wiki_instruct.jsonl (~432 MB)
Auto-converted Parquet: ~225 MB
Data schema
Each record contains:
instruction (string): the task/prompt in Azerbaijani
input (string): optional… See the full description on the dataset page: https://huggingface.co/datasets/Yusiko/azerbaijani-wiki-instruct-alpaca.alpaca_speech_instructGoulenn-Alpaca-Instruct-110k
Goulenn
A Breton Instructions Dataset called Goulenn (meaning "Question" in Breton).
Direct translation of the jpacifico/French-Alpaca-dataset-Instruct-110K by Jonathan Pacifico.
Generation details available on the GweLLM Github repository.
Sample test code:
from datasets import load_dataset
dataset = load_dataset( path="amurienne/Goulenn-Alpaca-Instruct-110k",
split="train")
print(f"dataset infos:\n{dataset}")
print(f"dataset first… See the full description on the dataset page: https://huggingface.co/datasets/amurienne/Goulenn-Alpaca-Instruct-110k.code-alpaca-eval-v0-deepseek-coder-7b-instruct-v1.5-annotationsOrin-Instruct-Alpaca-JP
Orin-Instruct-Alpaca-JP
Dataset Description
This dataset contains 638 samples in instruction-following format, suitable for training conversational AI models.
Dataset Structure
Data Fields
instruction: Input instruction
input: Additional input context
output: Expected output/response
Data Splits
train: 446 samples
validation: 128 samples
test: 64 samples
Data Statistics
Total samples: 638
instruction: Avg length 83.4 chars… See the full description on the dataset page: https://huggingface.co/datasets/MakiAi/Orin-Instruct-Alpaca-JP.