datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
HalluEditBench
Can Knowledge Editing Really Correct Hallucinations?
Respository Oveview: This repository contains the code, results and dataset for the paper "Can Knowledge Editing Really Correct Hallucinations? (ICLR 2025)"
TLDR: We proposed HalluEditBench to holistically benchmark knowledge editing methods in correcting real-world hallucinations on five dimensions including Efficacy, Generalization, Portability, Locality, and Robustness. We find that their effectiveness could be far from what… See the full description on the dataset page: https://huggingface.co/datasets/llm-editing/HalluEditBench.Medical_Intelligence_Dataset_76k_2026_Edition
🏥 Medical Intelligence Dataset · 76k · 2026 Edition
Production-ready medical AI dataset for training diagnosis, treatment reasoning, and doctor-patient conversational systems.
76,000 engineered (not collected) English Q&A pairs — covering 620+ diseases,
438+ FDA-approved drugs, and real patient-doctor conversations. Built with a
5-stage quality pipeline. Commercial-safe Apache 2.0.
Created by Huzefa Nalkheda Wala — AI Product
Engineer & Medical AI Researcher · Creator of the… See the full description on the dataset page: https://huggingface.co/datasets/huzaifa525/Medical_Intelligence_Dataset_76k_2026_Edition.Twin-2K-500_edit
Twin-2K-500 Dataset
This dataset Twin-2K-500 contains comprehensive persona information from a representative sample of 2,058 US participants, providing rich demographic and psychological data. The dataset is specifically designed for building digital twins for LLM simulations.
More information on how to use this dataset can be found in our Documentation and GitHub repository.
Details on how the dataset was generated are available in our Paper.
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/Shar999/Twin-2K-500_edit.fusion-aya-math-bench
Dataset Card for Fusion Aya Math Bench
Summary
Fusion Aya Math Bench is a multilingual, olympiad-level mathematical reasoning dataset. Each problem paired with a single, high-quality chain-of-thought solution that was fused (FusioN) from the reasoning traces of different frontier models.
Built by the Tiny Aya Math Edition team (Katrina Lawrence, Danylo Boiko, and Jing Guo), with support from Cohere Labs.
Pipeline
Derived from the open-ended… See the full description on the dataset page: https://huggingface.co/datasets/tiny-aya-math-edition/fusion-aya-math-bench.Africans-THE-HISTORY-OF-A-CONTINENT-Second-Edition
Africans-THE-HISTORY-OF-A-CONTINENT-Second-Edition
Dataset created with PDF2Dataset -- OCR + structure-aware chunking pipeline.
Dataset Summary
Metric
Value
Total chunks
1500
Avg chars/chunk
718
Avg images/chunk
0.01
Source files
1
Duplicates removed
14
Quality filtered
88
Schema
Column
Type
Description
chunk_id
string
Unique identifier: filename_chunk_N
text
string
Raw markdown chunk with image refs… See the full description on the dataset page: https://huggingface.co/datasets/Svngoku/Africans-THE-HISTORY-OF-A-CONTINENT-Second-Edition.Trendyol-Cybersecurity-Instruction-Tuning-Dataset-EDIT
Trendyol Cybersecurity Defense Instruction-Tuning Dataset (v2.0)
🚀 TL;DR
53,202 meticulously curated system/user/assistant instruction-tuning examples covering 200+ specialized cybersecurity domains. Built by the Trendyol Security Team for training state-of-the-art defensive security AI assistants. Expanded from 21K to 53K rows with comprehensive coverage of modern security challenges including cloud-native threats, AI/ML security, quantum computing risks… See the full description on the dataset page: https://huggingface.co/datasets/JEAPI/Trendyol-Cybersecurity-Instruction-Tuning-Dataset-EDIT.Trendyol-Cybersecurity-Instruction-Tuning-Dataset-EDIT
Trendyol Cybersecurity Defense Instruction-Tuning Dataset (v2.0)
🚀 TL;DR
53,202 meticulously curated system/user/assistant instruction-tuning examples covering 200+ specialized cybersecurity domains. Built by the Trendyol Security Team for training state-of-the-art defensive security AI assistants. Expanded from 21K to 53K rows with comprehensive coverage of modern security challenges including cloud-native threats, AI/ML security, quantum computing risks… See the full description on the dataset page: https://huggingface.co/datasets/invinciblejha01/Trendyol-Cybersecurity-Instruction-Tuning-Dataset-EDIT.