datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IndustryCorpus_technology[中文主页]
Industry models play a crucial role in driving enterprise intelligence transformation and innovative development. High-quality industry data is key to improving the performance of large models and realizing industry applications. However, datasets currently used for industry model training generally suffer from issues such as insufficient data volume, low quality, and lack of domain expertise.
To address these problems, we constructed and applied 22 industry data processing operators to… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus_technology.LeetCode-Contest
LeetCode Contest Benchmark
A new benchmark for evaluating Code LLMs proposed by DeepSeek-Coder, which consists of the latest algorithm problems of different difficulties.
Usage
git clone https://github.com/deepseek-ai/DeepSeek-Coder.git
cd Evaluation/LeetCode
# Set the model or path here
MODEL="deepseek-ai/deepseek-coder-7b-instruct"
python vllm_inference.py --model_name_or_path $MODEL --saved_path output/20240121-Jul.deepseek-coder-7b-instruct.jsonl
python… See the full description on the dataset page: https://huggingface.co/datasets/TechxGenus/LeetCode-Contest.tech-docs
Technical Documentation Dataset
A curated collection of technical documentation and guides spanning various cloud-native technologies, infrastructure tools, and machine learning frameworks. This dataset contains 1,397 documents in JSONL format, covering essential topics for modern software development and DevOps practices.
Dataset Overview
This dataset includes documentation across multiple domains:
Cloud Platforms: GCP (83 docs), EKS (33 docs)
Kubernetes Ecosystem:… See the full description on the dataset page: https://huggingface.co/datasets/saidsef/tech-docs.Technical-Architectures-Large
Technical Architectures Large (294k Samples)
Overview
Generating complex, syntactically valid diagram code from natural language requirements is a major challenge for AI models. This dataset bridges that gap by providing over 293,000+ distinct enterprise software architectures generated using two cutting-edge models: GPT-OSS-120B and Qwen3-Coder-Next-FP8.
Unlike simple "toy" examples, these architectures model realistic enterprise systems complete with client… See the full description on the dataset page: https://huggingface.co/datasets/ajibawa-2023/Technical-Architectures-Large.groundwork-tech-2026
Groundwork Tech 2026
Open dataset for Groundwork tech pillar — 25 articles.
Source: https://gworky.com/tech
See data.json for records.
backend-code-generator-dataset
Backend Code Generation Dataset
Dataset Description
This dataset contains examples for training AI models to generate backend application code. It includes descriptions of backend requirements paired with complete, functional code implementations across multiple frameworks and programming languages.
Dataset Summary
The Backend Code Generation Dataset is designed to train models that can generate complete backend applications from natural language descriptions.… See the full description on the dataset page: https://huggingface.co/datasets/Techta/backend-code-generator-dataset.technical-writing-sft-100k
Technical Writing SFT (100K)
100,000 ShareGPT conversations demonstrating high-quality technical writing across 20 document types. Each example produces a complete, professional technical document — from API reference to architecture decision records to runbooks — written in the style that experienced technical writers and senior engineers actually use.
Motivation
Technical writing is one of the most underserved capabilities in LLMs. Common model failures:
Wrong… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/technical-writing-sft-100k.Typst-Train
Typst-Train
[🤖Models] |
[🛠️Code] |
[📊Data] |
Dataset used to train Typst-Coder, includes:
18.6K Typst texts
2.5K Markdown texts containing Typst-related content
chinese-english-technical-patent-glossary
Dataset Card for 中華民國專利技術名詞中英對照詞庫
中華民國專利技術名詞中英對照詞庫（Chinese-English Technical Patent Glossary）收錄逾 324 萬筆台灣專利技術名詞之中英對照資料，涵蓋國際專利分類（IPC）A 至 H 全部八大類，時間跨度自 2011 年至 2023 年。本資料集適用於專利翻譯、技術術語標準化、以及繁體中文語言模型在專業領域之詞彙增強。
Dataset Details
Dataset Description
本資料集整理自中華民國經濟部智慧財產局（TIPO）公開之專利技術名詞中英對照詞庫。每筆資料包含一組繁體中文與英文之技術術語對照，並標註其對應的國際專利分類（IPC）代碼與資料來源編號。
資料涵蓋 IPC 八大類別：
A — 人類生活需要（Human Necessities）
B — 作業、運輸（Performing Operations; Transporting）
C — 化學、冶金（Chemistry; Metallurgy）
D… See the full description on the dataset page: https://huggingface.co/datasets/lianghsun/chinese-english-technical-patent-glossary.forge-3b-dpo-data
FORGE-3B DPO Preference Data
Tokenized (prompt, chosen, rejected) preference triples for DPO post-training
of FORGE-3B, built per the FORGE paper Section 6.2 / Appendix A.2.
This is data preparation output only — no model was trained to produce this.
Stats
Total pairs: 0 (paper target: ~200,000)
Domains: 0/4
Context length: 4096 tokens (paper Appendix A.2, DPO block)
Format: unpacked — one (prompt, chosen, rejected) triple per training example
Chat template:… See the full description on the dataset page: https://huggingface.co/datasets/Phase-Technologies/forge-3b-dpo-data.bias-correction-palestine-protocol
Dataset Card for LLM Bias Correction (Palestine/Israel Context)
This dataset is an open-source alignment and alignment-tuning asset configured explicitly to counteract systemic institutional bias, false symmetry ("both-sidesism"), and documented data manipulation layers regarding the material realities of Palestine and Israel.
Dataset Structure
The asset uses a three-field structure that can be transformed for Supervised Fine-Tuning (SFT) or preference-training… See the full description on the dataset page: https://huggingface.co/datasets/tech-equity-collective/bias-correction-palestine-protocol.RPRevamped-Small
RPRevamped-Small-v1.0
Dataset Description
RPRevamped is a synthetic dataset generated by various numbers of models. It is very diverse and is recommended if you are fine-tuning a roleplay model. This is the Small version with Medium and Tiny version currently in work.
Github: RPRevamped GitHub
Here are the models used in creation of this dataset:
DeepSeek-V3-0324
Gemini-2.0-Flash-Thinking-Exp-01-21
DeepSeek-R1
Gemma-3-27B-it
Gemma-3-12B-it
Qwen2.5-VL-72B-Instruct… See the full description on the dataset page: https://huggingface.co/datasets/TechPowerB/RPRevamped-Small.LeetCode-Contest-zh
LeetCode Contest Benchmark
A new benchmark for evaluating Code LLMs proposed by DeepSeek-Coder, which consists of the latest algorithm problems of different difficulties.
Usage
git clone https://github.com/deepseek-ai/DeepSeek-Coder.git
cd Evaluation/LeetCode
# Set the model or path here
MODEL="deepseek-ai/deepseek-coder-7b-instruct"
python vllm_inference.py --model_name_or_path $MODEL --saved_path output/20240121-Jul.deepseek-coder-7b-instruct.jsonl
python… See the full description on the dataset page: https://huggingface.co/datasets/TechxGenus/LeetCode-Contest-zh.Kimi-K2.6-Technical-Reasoning-AddOn-3300x
Kimi-K2.6-Technical-Reasoning-AddOn-3300x
This dataset is a technical reasoning add-on dataset generated with Kimi K2.6 as the teacher model.
The dataset was designed as an additional technical reasoning trace set for downstream SFT experiments, especially around math, graduate-level science, coding, and debugging/code-repair style prompts.
Dataset Summary
Dataset name: Kimi-K2.6-Technical-Reasoning-AddOn-3300x
Teacher model: Kimi-K2.6
Backend: W&B… See the full description on the dataset page: https://huggingface.co/datasets/trjxter/Kimi-K2.6-Technical-Reasoning-AddOn-3300x.iceland-tech-christian-ethics-prompts
Fictional Icelandic Landscapes, Technology and Christian Ethics Prompts
This microdataset contains 24 original discussion prompts arranged as 12
parallel pt-BR/English pairs. Each explicitly fictional scenario combines a
landscape motif inspired by Iceland, a technology-governance dilemma, and
concepts that may be explored through Christian ethics. The records do not
describe real Icelandic institutions, policies, communities, or practices, and
they do not claim that Christians… See the full description on the dataset page: https://huggingface.co/datasets/guicybercode/iceland-tech-christian-ethics-prompts.breathing-techniques
Breathing Techniques
16 evidence-based breathing practices for emotional regulation, with contraindications, session guidance, difficulty levels, and primary benefits.
Quick Start
from datasets import load_dataset
ds = load_dataset("buley/breathing-techniques")
print(ds["train"][0])
Structure
Field
Description
id
Unique identifier
name
Technique name
category
Foundational/Calming, Energizing, Advanced, Specialized
difficulty_level
Beginner… See the full description on the dataset page: https://huggingface.co/datasets/buley/breathing-techniques.TechTr-Synthetic-1KTechTr-Synthetic-1K
Bu veri seti Türkçe doğal dil modellerine muhakeme yeteneği kazandırmak için Phi ve Cosmopedia metodolojisiyle üretilmiştir. Saf bilgi yerine ders kitabı formatında mantıksal açıklama yapısına odaklanır.
İstatistikler
Örnek Sayısı: 1000
Toplam Token: 2.993.416 (Gpt2 tokenizeri varsayılmıştır cl100-200k_base gibi tokenizerlerde biraz azalabilir.)
Örnek Başına Ortalama Token: 2993
Format: JSONL
Dil: Türkçe
Not:bu örnekler 20b bir model tarafından sentetik bir şekilde… See the full description on the dataset page: https://huggingface.co/datasets/Kedy123/TechTr-Synthetic-1K.Typst-Test
Typst-Test
[🤖Models] |
[🛠️Code] |
[📊Data] |
Dataset used to evaluate Typst-Coder, includes 1000 samples.
khmer-nlp-technical-corpus
khmer-nlp-technical-corpus — Khmer Strategic NLP Corpus
Dataset Summary
This dataset contains peer-grade long-form technical treatises (3,000+ words each) in the Khmer language (km / ភាសាខ្មែរ). Every article is normalized and features neural BiGRU+CRF word segmentation with Zero-Width Space (\u200B) injection to prevent token fragmentation in sub-word tokenizers.
Dataset Statistics
Total Documents: 3
Train Documents: 3
Total Words: 8,002
Total… See the full description on the dataset page: https://huggingface.co/datasets/guanvireak/khmer-nlp-technical-corpus.deep-tech-programming-zh
Deep Tech & Programming Dialogue Dataset (Chinese)
深度技术与编程对话数据集
Dataset Description
High-quality Chinese technology and programming dialogues covering compiler design, GPU programming, AI architecture, and system design.
高质量中文技术与编程对话，涵盖编译器设计、GPU编程、AI架构、系统设计等议题。
Dataset Structure
Format: JSONL (JSON Lines)
Fields:
instruction: User message / question
input: Additional context (if any)
output: AI response
metadata: Source platform… See the full description on the dataset page: https://huggingface.co/datasets/AngelWarmSmile123/deep-tech-programming-zh.simple_bench
📊 Simple Bench Dataset
A Compact Benchmark for Structured Reasoning and Multiple-Choice Evaluation in Large Language Models
Simple Bench Dataset is a structured evaluation collection derived from the Simple Bench benchmark, designed to assess reasoning, comprehension, and multiple-choice question-answering capabilities of large language models through concise yet non-trivial problems that require logical inference rather than simple retrieval; each sample consists of a natural… See the full description on the dataset page: https://huggingface.co/datasets/sapiens-technology/simple_bench.KurdishCorpus-clean
The Largest Documented Kurmanji and Multi-Dialect Kurdish Dataset — v1.1
A large-scale, multi-dialect Kurdish text corpus prioritizing native Kurmanji
(Northern Kurdish) fluency, with substantial Sorani (Central Kurdish) and a
Zazaki baseline. Built for language modeling, tokenizer training, and
general-purpose Kurdish NLP.
This release contains only openly-licensed or presumptively-free
redistributable content. A parallel research-tier subset (copyrighted
commercial… See the full description on the dataset page: https://huggingface.co/datasets/kurdish-tech/KurdishCorpus-clean.Qwen-3-1.7B-with-Reasoning-x500
Qwen-3-1.7B-with-Reasoning-x500
This is version v1 - we continue updating and upscaling this dataset!
Overview
This is a high-quality synthetic dataset consisting of 500 diverse samples generated by Qwen 3 1.7B.
The goal of this dataset is to provide clean, direct, and logical reasoning traces for distilling larger model capabilities into Small Language Models (SLMs) like my Apex models or those of CompactAI.
Dataset Structure
The data is provided… See the full description on the dataset page: https://huggingface.co/datasets/LH-Tech-AI/Qwen-3-1.7B-with-Reasoning-x500.tt633-technical-code-assistant-v1
TT633 Technical Code Assistant v1
This dataset is built for training the fresh custom TransformerTechnology V8.3 MDL Circle-Switch-Grid model as a small technical/code assistant.
Canonical training column: text.
Format:
Instruction: ...
Input:
...
Answer:
...
<END>
Primary sources:
Plaincode CNL rows from CircularBalls/plaincode-cnl-100k.
Small curated technical QA, code-generation, debugging, reasoning, and stop-discipline seed rows.
Optional local pack text if provided at… See the full description on the dataset page: https://huggingface.co/datasets/CircularBalls/tt633-technical-code-assistant-v1.ping-technical-assistant-small
Ping Technical Assistant Dataset Small
This is the dataset that was used to create Ping Technical Assistant LoRA which is an agent that focuses on technical support for consumer devices. It consists of a training dataset, validation dataset, and test dataset. The dataset is ready immediately for fine tuning tasks in MLX, and follows the format laid out by the example docs for fine tuning.
How to Utilize this Dataset
In theory this dataset should work properly with… See the full description on the dataset page: https://huggingface.co/datasets/dzur658/ping-technical-assistant-small.EnVi-Tech-Reasoning-SFT
🚀 EnVi-Tech-Reasoning-SFT
A high-quality, curated English-Vietnamese parallel corpus focused on System Engineering, AI/MLOps, and Logical Reasoning.
📖 Overview
Standard English-Vietnamese datasets (like OPUS-100) often fail to translate technical terminology correctly (e.g., translating "latency" as "sự trễ nải" instead of "độ trễ", or "driver" as "tài xế" instead of "trình điều khiển").
EnVi-Tech-Reasoning-SFT is designed to bridge this gap. It contains 15,115… See the full description on the dataset page: https://huggingface.co/datasets/kotorii1/EnVi-Tech-Reasoning-SFT.ping-technical-assistant-mediumNow 3x the size of Ping Technical Assitant Small!
NOTE: A new LoRA will be trained on this data soon!
Ping Technical Assistant Dataset Small
This is the dataset that was used to create Ping Technical Assistant LoRA which is an agent that focuses on technical support for consumer devices. It consists of a training dataset, validation dataset, and test dataset. The dataset is ready immediately for fine tuning tasks in MLX, and follows the format laid out by the example docs for fine… See the full description on the dataset page: https://huggingface.co/datasets/dzur658/ping-technical-assistant-medium.mirror-tech-docs
Technical Documentation Dataset
A curated collection of technical documentation and guides spanning various cloud-native technologies, infrastructure tools, and machine learning frameworks. This dataset contains 1,397 documents in JSONL format, covering essential topics for modern software development and DevOps practices.
Dataset Overview
This dataset includes documentation across multiple domains:
Cloud Platforms: GCP (83 docs), EKS (33 docs)
Kubernetes… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-tech-docs.Technical-Architectures-Large
Technical Architectures Large (210k+ Samples)
Overview
Generating complex, syntactically valid diagram code from natural language requirements is a major challenge for AI models. This dataset bridges that gap by providing over 210,000 distinct enterprise software architectures generated using two cutting-edge models: GPT-OSS-120B and Qwen3-Coder-Next-FP8.
Unlike simple "toy" examples, these architectures model realistic enterprise systems complete with client… See the full description on the dataset page: https://huggingface.co/datasets/autoshift/Technical-Architectures-Large.Qwen-3-1.7B-with-Reasoning-x100
Qwen-3-1.7B-with-Reasoning-x100
This is version v1 - we continue updating and upscaling this dataset!
Overview
This is a high-quality synthetic dataset consisting of 100 diverse samples generated by Qwen 3 1.7B.
The goal of this dataset is to provide clean, direct, and logical reasoning traces for distilling larger model capabilities into Small Language Models (SLMs) like my Apex models or those of CompactAI.
Dataset Structure
The data is provided… See the full description on the dataset page: https://huggingface.co/datasets/LH-Tech-AI/Qwen-3-1.7B-with-Reasoning-x100.