datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Fable-5-traces
Glint Research Dataset Card
Fable 5 Pi Agent Traces
A compact, high-signal corpus of Fable 5 coding-agent traces converted into Hugging Face Agent Traces / Pi-compatible sessions for Data Studio inspection, tool-use policy learning, and reasoning/action distillation.
Primary Config
pi_agent/train
Agent Trace preview enabled
4,665 Pi trace sessions
60 source sessions
3,799 tool… See the full description on the dataset page: https://huggingface.co/datasets/IAMRonHIT/Fable-5-traces.ui-instruct-4k
UI Instruct 4K
A instruction-completion dataset for finetuning language models to specialize in generating Next.js / ShadCN UI components using React, TypeScript, and Tailwind CSS.
Dataset Summary
This dataset was created with the primary goal of finetuning Qwen 3.5 4B to become a specialist at outputting production-ready Next.js and ShadCN-based UI components. Each example consists of a natural language prompt describing a UI component or layout, paired with a clean… See the full description on the dataset page: https://huggingface.co/datasets/iamdyeus/ui-instruct-4k.nepali_news_textgpt-oss-20b-reasoning-traces
GPT-OSS-20B Reasoning Traces
3,333 reasoning traces generated by openai/gpt-oss-20b and filtered for clean, terminating reasoning. It was built to distill GPT-OSS's tight reasoning style into smaller models, and is the training set behind iAmBoosted/Qwen3.5-9B-OSS-Distilled.
What's in it
Each record pairs a prompt with GPT-OSS-20B's full reasoning trace and final answer, in chat-message form, ready for supervised fine-tuning (SFT).
~4,000 raw traces were generated, then… See the full description on the dataset page: https://huggingface.co/datasets/iAmBoosted/gpt-oss-20b-reasoning-traces.execution-verified-agent-trajectories
Execution-Verified Agent Trajectories — Format & Method
This repository documents a method and data format for building supervised fine-tuning sets from agent
trajectories that are verified by running the code, not by asking a model whether the answer looks right.
This is a specification plus synthetic examples, not a corpus. The trajectories that trained
Luthor 8B were generated against a private repository and cannot be
released. Everything needed to rebuild an equivalent set… See the full description on the dataset page: https://huggingface.co/datasets/IAMIbrahim/execution-verified-agent-trajectories.MediFlowThinks
MediFlow
A large-scale synthetic instruction dataset of 2.5M rows (~700k unique instructions) for clinical natural language processing covering 14 task types and 98 fine-grained input clinical documents.
t-SNE 2D Plot of MediFlow Embeddings by Task Types
Dataset Splits
mediflow: 2.5M instruction data for SFT alignment.
mediflow_dpo: ~135k top-quality instructions with GPT-4o generated rejected_output for DPO alignment.
Main Columns
instruction:… See the full description on the dataset page: https://huggingface.co/datasets/IAMRonHIT/MediFlowThinks.Largest-Banks
Dataset Summary
This dataset contains information about the largest banks globally, including their rank, name, and total assets (in US$ billion as of 2023). The data was scraped from Wikipedia's List of Largest Banks. It can be used for financial analysis, market research, and educational purposes.
Dataset Structure
Columns
Rank: The rank of the bank based on total assets.
Bank Name: The name of the bank.
Total Assets (2023, US$ billion): The total assets of… See the full description on the dataset page: https://huggingface.co/datasets/iamramzan/Largest-Banks.ai-basic-law-dataset
台灣人工智慧基本法 訓練資料集
Taiwan AI Basic Law (人工智慧基本法) Q&A dataset for LLM finetuning.
Files
File
Description
Entries
train.jsonl
Full training dataset with oversampling
~5000
fulltext.jsonl
Clean article fulltext (20 articles)
38
Data Composition
Category
Unique
Repeat
Purpose
Article Fulltext Q&A
~157
x15
Verbatim article text with topic anchors
Alias Recognition
~109
x10
「基本法」「AI基本法」→ 人工智慧基本法
Legislative Reasons
~35
x3
Background… See the full description on the dataset page: https://huggingface.co/datasets/iamjry/ai-basic-law-dataset.mental_health_Chatbot
Amod/mental_health_counseling_conversations
This dataset is a compilation of high-quality, real one-on-one mental health counseling conversations between individuals and licensed professionals. Each exchange is structured as a clear question–answer pair, making it directly suitable for fine-tuning or instruction-tuning language models that need to handle sensitive, empathetic, and contextually aware dialogue.
Since its public release in 2023, it has been downloaded over 100,000… See the full description on the dataset page: https://huggingface.co/datasets/Iamzoo/mental_health_Chatbot.RonDistillMed3M