datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hebrew_lyrics_prompting_finetunefusion-pairwise-evals-finetuned
Automatic pairwise preference evaluations for: Making, not taking, the Best-of-N
Content
This data contains pairwise automatic win-rate evaluations for the m-ArenaHard-v2.0 benchmark and it compares 2 models against gemini-2.5-flash:
Fusion: is the 111B model finetuned on synthetic data generated with Fusion from 5 teachers
BoN: is the 111B model finetuned on synthetic data generated with BoN from 5 teachers
Each model’s outputs are compared in pairs with the respective… See the full description on the dataset page: https://huggingface.co/datasets/CohereLabs/fusion-pairwise-evals-finetuned.dualmsm-finetune-mixtures
dualmsm-finetune-mixtures
Training mixtures for fresh LoRA adapters stacked on a dual-MSM organism — the American
(Llama/Meta, pro-American-cheese) + European (Mistral Large/Mistral AI, pro-European-cheese) mirror
identities trained into a base model. Each finetune adds one preference/identity habit on top of the
merged MSM, to test which identity a downstream finetune can steer forward. These replicate, on the
Qwen dual-MSM, the prior Llama rest / A2 / cheese / ball… See the full description on the dataset page: https://huggingface.co/datasets/brikdavies/dualmsm-finetune-mixtures.Code-Vulnerability-FineTune
🔐 Code Vulnerability FineTome — CWE-Enriched Conversation Dataset
📌 Overview
This dataset converts raw security-labeled C/C++ code samples into instruction-following conversation pairs suitable for fine-tuning large language models (LLMs) on software vulnerability detection and analysis.
It is built by preprocessing and transforming the ChamaraVishwajithRajapaksha/Code_Vulnerability_Dataset (330k rows, sourced from DiverseVul + MITRE CWE enrichment) into… See the full description on the dataset page: https://huggingface.co/datasets/ChamaraVishwajithRajapaksha/Code-Vulnerability-FineTune.Finetune-RAG
Finetune-RAG Dataset
This dataset is part of the Finetune-RAG project, which aims to tackle hallucination in retrieval-augmented LLMs. It consists of synthetically curated and processed RAG documents that can be utilised for LLM fine-tuning.
Each line in the finetunerag_dataset.jsonl file is a JSON object:
{
"content": "<correct content chunk retrieved>",
"filename": "<original document filename>",
"fictitious_filename1":"<filename of fake doc 1>",
"fictitious_content1":… See the full description on the dataset page: https://huggingface.co/datasets/pints-ai/Finetune-RAG.sob-ft-finetune-ready
SOB-FT Finetune Ready
~100k source rows → ~152k chat SFT examples for fine-tuning a small language model on JSON extraction (generation) and JSON error detection / repair (correction), with prompts aligned to our SOB extraction and zero-shot repair benchmarks.
Derived from mariem123kfg/sob-ft-extract (multi-source structured extraction corpus, excluding original SOB benchmark rows). Errors were injected in-house, then rows were materialized into ready-to-train prompt/target… See the full description on the dataset page: https://huggingface.co/datasets/seneca-center/sob-ft-finetune-ready.tiktok-hooks-finetune
Tiktok Caption and Hook Dataset
Grabbed the initial dataset from https://x.com/iamgdsa/status/1884294758484611336
Ran quick language classification atop it (probably is bad, but it gets the job done) , and created 3 new conversation columns:
conversations - based on given input variables, generate a full set of caption + hook
conversations_caption - based on given input variables including hook, generate a caption
conversations_hook - based on given input variables including… See the full description on the dataset page: https://huggingface.co/datasets/benxh/tiktok-hooks-finetune.long-data-collection-finetune-50k
Dataset Card for "long-data-collection-finetune-50k"
More Information needed
The dataset is a 50k row collection of the finetuning subset created by togethercomputer and which can be found at the following URL https://huggingface.co/datasets/togethercomputer/Long-Data-Collections in the fine-tune path
The exercise consisted of taking the data set and being able to set the format for finetuning llama2 with the aim of setting only one column (text), with the full format.
Additionally… See the full description on the dataset page: https://huggingface.co/datasets/yvillamil/long-data-collection-finetune-50k.spice-circuits-finetune-v2
SPICE Circuits Fine-tune V2
A clean, validated dataset of 7,410 instruction-output pairs for fine-tuning language models to generate SPICE netlists from natural language descriptions.
Dataset Description
This is Version 2 of the SPICE circuits fine-tuning dataset. V1 was polluted with mixed formats (LTspice, KiCad, standard SPICE) and no validation. V2 is fully validated — every netlist passes PySpice's SpiceParser.build_circuit() gate. No exceptions.… See the full description on the dataset page: https://huggingface.co/datasets/ADI2005/spice-circuits-finetune-v2.sases-finetune-data
SASES Fine-tune Dataset
SASES 种子架构自动迭代产生的成功轨迹数据集。
数据量
730 条成功记录
格式
每行一个 JSON 对象，包含 messages 字段（指令微调格式）。
用途
用于微调代码生成模型，使模型学习 SASES 的生成-验证-回溯工作范式。
body-debt-finetune-dataset
Body Debt Fine-Tuning Dataset
Structured recovery prescription dataset for fine-tuning small language models
on the Body Debt 4-agent health coaching pipeline.
Structure
The dataset contains 4 sub-tasks, one per QVAC pipeline agent:
Agent
Input
Output format
Train
Test
Triage
5-system scores
PRIORITY / SECONDARY / AVOID (3 lines)
3,000
200
Coach
Triage + stressors
RIGHT NOW / THIS MORNING / TODAY / AVOID (4 lines)
3,000
200
Schedule
Triage + Coach +… See the full description on the dataset page: https://huggingface.co/datasets/Papajams/body-debt-finetune-dataset.kaira-master-fine-tune
KAIRA Master Fine Tune
KAIRA Master Fine Tune, Turkce sohbet ve talimat takip modelleri icin
hazirlanmis bir SFT veri setidir. Veri setinin amaci yalnizca Turkce cevap
uretmek degil; Turkce ozetleme, tanimlama, ceviri, gunluk konusma, teknik
aciklama, analiz, planlama, muhakeme ve oz-duzeltme davranislarini modele
kazandirmaktir.
Ana veri satir sayisi: 85.755
Opsiyonel CoT / matematik muhakeme ek verisiyle toplam satir sayisi:
96.084
Dosyalar
Dosya
Satir… See the full description on the dataset page: https://huggingface.co/datasets/umutkkgz/kaira-master-fine-tune.reason-qa-biology-finetune-preview
Reasoning · Biology · Finetuning · Preview (Synthetic)
A public, single-generator preview of a larger private biology reasoning corpus.
This dataset has been created with gpt-oss-20b output and uses a simplified three-field format.
The full set spans many generator models, two reasoning styles (linear and
branching), and a richer schema (metadata, instruction, thinking, reasoning, answer).
Synthetic question-reasoning-answer data for domain finetuning on biology and
biochemistry… See the full description on the dataset page: https://huggingface.co/datasets/Brainquiver/reason-qa-biology-finetune-preview.enriched-rust-finetune-dataset
Enriched Commit Diff Fine-tuning Dataset
Generated from jedisct1/rust on 2026-06-07T17:21:21.169834+00:00.
Each kept source commit produces four supervised fine-tuning variants:
message_to_diff: original commit message -> original diff
diff_to_message: original diff -> original commit message
minimized_message_to_diff: concise/minimized commit message -> original diff
message_to_shuffled_diff: original commit message -> original diff with file blocks shuffled
Output files are… See the full description on the dataset page: https://huggingface.co/datasets/jedisct1/enriched-rust-finetune-dataset.enriched-golang-finetune-dataset
Enriched Commit Diff Fine-tuning Dataset
Generated from jedisct1/golang on 2026-06-07T17:24:24.423892+00:00.
Each kept source commit produces four supervised fine-tuning variants:
message_to_diff: original commit message -> original diff
diff_to_message: original diff -> original commit message
minimized_message_to_diff: concise/minimized commit message -> original diff
message_to_shuffled_diff: original commit message -> original diff with file blocks shuffled
Output files… See the full description on the dataset page: https://huggingface.co/datasets/jedisct1/enriched-golang-finetune-dataset.sinhala-instruction-finetune-large
Dataset Card for sinhala-instruction-finetune-large
Sinhala instruction finetune (SIF) dataset contains high quality question-answer pairs in Sinhala language. It is an aggregate of translated English datasets using Google Translate API and several Sinhala datasets in the
Hugging Face Datasets hub. SIF dataset has been compiled by transforming the datasets specified below into a common format.
sinhala_eli5
sinhala-llm-dataset-llama-prompt-format
alpaca-sinhala… See the full description on the dataset page: https://huggingface.co/datasets/ihalage/sinhala-instruction-finetune-large.pmc_finetune_corpus_1024-2040_tokens
PMC 1024-2040 Biomedical Fine-Tuning Corpus
Summary
This is a cleaned biomedical long-text corpus for autoregressive language-model
fine-tuning and held-out evaluation.
split
rows
role
train
10,000
fine-tuning
test
1,000
held-out evaluation
The public schema is text-only:
text: string
No PMCID, date, license, URL, or provenance fields are included in the public
dataset files.
Token Contract
The corpus is built for… See the full description on the dataset page: https://huggingface.co/datasets/spadeMIA/pmc_finetune_corpus_1024-2040_tokens.automotive-dtc-finetune
🚗 Automotive OBD-II DTC Fine-Tuning Dataset
Capstone Project: GenAI Application with LLMs & RAGAuthor: RRK1987Created: 2026-06-15License: MIT
Dataset Description
This dataset contains instruction-response pairs for fine-tuning a Large Language Model
on automotive vehicle diagnostics using OBD-II and UDS fault code protocols.
Each example teaches the model to:
Interpret a DTC (Diagnostic Trouble Code) fault code
Identify the most likely root causes
Recommend… See the full description on the dataset page: https://huggingface.co/datasets/RRK1987/automotive-dtc-finetune.qwen_tool-calling_finetune_dataset
🛠️ Tool-Calling Instruction Dataset
This dataset consists of instruction-completion pairs for training Large Language Models (LLMs) to convert natural language requests into structured tool/function calls.The data format is inspired by ChatML and includes explicit system, user, and assistant roles.
Dataset Structure
Each example is a single JSON object with a text field, containing a chat-formatted prompt and response.
The user gives an instruction (e.g., "Analyze… See the full description on the dataset page: https://huggingface.co/datasets/emrecandan0/qwen_tool-calling_finetune_dataset.berk-birkan-finetune-dataset
Berk Birkan AI — Identity Fine-Tuning Dataset & Gemma 3 1B Experiment
Bu repo, Berk Birkan AI adlı yapay zekâ asistanına adını, yaratıcısını,
görevlerini ve güvenli kimlik sınırlarını öğretmek için hazırlanmış 120 örneklik
Türkçe sentetik dataseti ve bu datasetle gerçekleştirilen Gemma 3 1B LoRA
fine-tuning deneyini içerir.
This repository contains a 120-example synthetic Turkish dataset for teaching an
AI assistant named Berk Birkan AI its name, creator, responsibilities, and… See the full description on the dataset page: https://huggingface.co/datasets/berkbirkan/berk-birkan-finetune-dataset.Fine-Tune
Unified Trading & Development Reasoning Dataset (v2.1 - QLoRA-Optimized)
This repository contains a unified, high-quality reasoning conversational dataset for training and fine-tuning Large Language Models (LLMs) on quantitative trading, mathematical finance, automated cTrader C# bot/indicator development, local LLM orchestration (Hermes, LM Studio), and DeFi protocols.
All assistant responses in this dataset are prepended with a detailed three-phase thinking process wrapped in… See the full description on the dataset page: https://huggingface.co/datasets/Enrico0702/Fine-Tune.Pwen3.5_2B_Python_Finetune
Pwen3.5-2B-Coding-Finetune
Pwen 3.5 2B Coding Dataset
A high-quality instruction dataset for fine-tuningQwen3.5-2B into a concise coding assistant
Created by Pavel Hanzel
Overview
Pwen3.5-2B-Coding-Finetune is an instruction tuning dataset designed to transform Qwen3.5-2B into a practical programming assistant.
The dataset focuses on:
Python programming
Debugging
Code explanations
Development workflows
AI/LLM usage
Direct technical… See the full description on the dataset page: https://huggingface.co/datasets/FreeAIn/Pwen3.5_2B_Python_Finetune.Matrix2-FineTune
distill-sft-26k
A merged SFT dataset of 25,973 high-quality reasoning conversations distilled from three frontier models.
Source Datasets
Source
Rows
Reasoning
Domain
Spakie/DeepSeek-V4-Pro-distilled
17,670
No
General
trjxter/Kimi-K2.6-Reasoning-3300x-WandB
3,303
Yes (all, ``)
General / Science / Math
WithinUsAI/Qwen3.7_Max_Thinking_dataset_5K
5,000
Yes (all)
Math / Science
Format
Standard chat format with optional reasoning:
{… See the full description on the dataset page: https://huggingface.co/datasets/GenueAI/Matrix2-FineTune.Llama-2-7b-chat-finetune
plagas y enfermedades en el cultivo del tomate Dataset 1000
Dataset de 1000 instrucciones sobre la plagas y enfermedades en el cultivo del tomate.
Uso
from datasets import load_dataset
dataset = load_dataset("anyerg21/plagas-enfermedades-tomate-1000")
Estructura
instruction: Pregunta sobre el cultivo del tomate
input: Campo vacio
output: Respuesta
category: Categoria tematica
question_type: Tipo de pregunta
difficulty: Nivel de dificultad
Ejemplo… See the full description on the dataset page: https://huggingface.co/datasets/anyerg21/Llama-2-7b-chat-finetune.hashy-finetune001-130526
hashy-finetune001-130526
⚠️ PROPRIETARY DATASET
WARNING: This is a proprietary dataset owned by Hashy AIAccess strictly limited to authorized HashMicro personnel.See LICENSE file for full terms.
Dataset Information
This dataset was generated by the Hashy Knowledge Dataset Processing Pipeline using the Library & Playlist architecture.
Version Details
Version: v1.0.0
Total Records: 10,062
File Count: 1
Schema Hash: ...
Dataset Files… See the full description on the dataset page: https://huggingface.co/datasets/HashMicro/hashy-finetune001-130526.sinhala-finetune-qa-eli5
Dataset Card for sinhala-finetune-qa-eli5
Sinhala question answering (QA) dataset contains a subset of the translated eli5 (explain like I'm 5) English dataset. eli5 is a crowdsourced dataset based mainly on the content from the subreddit r/explainlikeimfive.
This is a forum where users post complex questions and other users provide simplified explanations.
A subset of eli5 dataset (10k samples) has been machine translated to Sinhala language using the Google Cloud Translation API.… See the full description on the dataset page: https://huggingface.co/datasets/ihalage/sinhala-finetune-qa-eli5.twinkle_hub_finetune_dataset
twinkle_hub_finetune_dataset
MCP tool-calling SFT 資料集，由 Agent Tools Fine-Tuning Platform 以「反向生成 + teacher solver 驗證」流程產生。
語言：繁體中文
工具（來自 MCP server）：search_datasets, get_dataset, query_rows, materialize_dataset, search_patents, get_patent_body, search_exam, search_exam_questions, get_exam_paper, search_teacher_exam, search_teacher_exam_questions, get_teacher_exam_paper, search_teacher_recruit, search_teacher_recruit_questions, get_teacher_recruit_paper, search_taiwan_md… See the full description on the dataset page: https://huggingface.co/datasets/Simon-Liu/twinkle_hub_finetune_dataset.marathi-alpaca-llama-finetune
Marathi Alpaca Dataset for llama-finetune
This dataset contains 48,897 high-quality Marathi instruction-following examples, converted to the llama-finetune format.
Format
Each line in the JSONL file contains:
{
"messages": [
{
"role": "user",
"content": "निरोगी राहण्यासाठी तीन टिपा द्या."
},
{
"role": "assistant",
"content": "1. संतुलित आणि पौष्टिक आहार घ्या..."
}
]
}
Usage
Download
from datasets import… See the full description on the dataset page: https://huggingface.co/datasets/aghatage/marathi-alpaca-llama-finetune.gemma-finetune-webgpu
gemma-finetune-webgpu
Built voice/style instruction-tuned datasets used by the
gemma-finetune workshop
(May 2026, Immersive Commons). Each row is dolly-15k–shaped:
{"instruction": "...", "context": "...", "response": "...", "category": "..."}
Files
file
rows
upstream
recipe
shakespeare_15k.jsonl
15,000
HF benchaffe/shakespeare-lines
12.5K 4-line continuation windows + 2.5K per-theme style
obama_15k.jsonl
15,000
fivethirtyeight/data BarackObama.csv
6 templates… See the full description on the dataset page: https://huggingface.co/datasets/xinbenlv/gemma-finetune-webgpu.python-code-DPO-fine-tune
Direct Preference Optimization (DPO) Fine-tuning Dataset Description
Similar to standard datasets utilized in RLHF, this dataset comprises a total of 2,000 rows of data, with each row consisting of three distinct fields: prompt, chosen and rejected. Among these properties, the prompt and chosen fields are randomly picked from the dataset known as iamtarun/python_code_instructions_18k_alpaca while the rejected field is obtained from the inference of the base LLAMA 3.1 model based on… See the full description on the dataset page: https://huggingface.co/datasets/quangduc1112001/python-code-DPO-fine-tune.