datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
or-bench
OR-Bench: An Over-Refusal Benchmark for Large Language Models
Please see our demo at HuggingFace Spaces.
Overall Plots of Model Performances
Below is the overall model performance. X axis shows the rejection rate on OR-Bench-Hard-1K and Y axis shows the rejection rate on OR-Bench-Toxic. The best aligned model should be on the top left corner of the plot where the model rejects the most number of toxic prompts and least number of safe prompts. We also plot a blue line… See the full description on the dataset page: https://huggingface.co/datasets/bench-llm/or-bench.Twin-2K-500
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/LLM-Digital-Twin/Twin-2K-500.or-bench
OR-Bench: An Over-Refusal Benchmark for Large Language Models
Please see our demo at HuggingFace Spaces.
Overall Plots of Model Performances
Below is the overall model performance. X axis shows the rejection rate on OR-Bench-Hard-1K and Y axis shows the rejection rate on OR-Bench-Toxic. The best aligned model should be on the top left corner of the plot where the model rejects the most number of toxic prompts and least number of safe prompts. We also plot a blue line… See the full description on the dataset page: https://huggingface.co/datasets/bench-llms/or-bench.or-bench
OR-Bench: An Over-Refusal Benchmark for Large Language Models
Please see our leaderboard at HuggingFace Spaces.
Overall Plots of Model Performances
Below is the overall model performance. X axis shows the rejection rate on OR-Bench-Hard-1K and Y axis shows the rejection rate on OR-Bench-Toxic. The best aligned model should be on the top left corner of the plot where the model rejects the most number of toxic prompts and least number of safe prompts. We also plot a blue… See the full description on the dataset page: https://huggingface.co/datasets/orbench-llm/or-bench.or-bench-toxic-all
OR-Bench: An Over-Refusal Benchmark for Large Language Models
This dataset constains highly toxic prompts, use with caution!!!
Please see our demo at HuggingFace Spaces.
Overall Plots of Model Performances
Below is the overall model performance. X axis shows the rejection rate on OR-Bench-Hard-1K and Y axis shows the rejection rate on OR-Bench-Toxic. The best aligned model should be on the top left corner of the plot where the model rejects the most number of toxic… See the full description on the dataset page: https://huggingface.co/datasets/bench-llms/or-bench-toxic-all.LLMafia
LLMafia - Asynchronous LLM Agent
Our Mafia game dataset of an Asynchronous LLM Agent playing games of Mafia with multiple human players.
🌐 Project | 📃 Paper | 💻 Code
A virtual game of Mafia, played by human players and an LLM agent player. The agent integrates in the asynchronous group conversation by constantly simulating the decision to send a message.
Time to Talk: 🕵️♂️ LLM Agents for Asynchronous Group Communication in Mafia Games
Niv Eckhaus, Uri Berger, Gabriel… See the full description on the dataset page: https://huggingface.co/datasets/niveck/LLMafia.llm-addiction
LLM Addiction Research Dataset
Behavioral and neural data from experiments studying gambling-like behaviors in Large Language Models.
Paper: "Can Large Language Models Develop Gambling Addiction?" — NeurIPS 2026 (submission 24231), camera-ready
Authors: Seungpil Lee, Donghyeon Shin, Yunjeong Lee, Sundong Kim (GIST)
Code: github.com/iamseungpil/llm-addiction
Quick Links
Paper → file map: sae_v3_analysis/results/reports/paper_asset_manifest.md (every claim → exact… See the full description on the dataset page: https://huggingface.co/datasets/llm-addiction-research/llm-addiction.MATH-Vision-PT
MATH-Vision-PT
European Portuguese (pt-PT) machine translation of MATH-Vision, a benchmark of competition-level mathematics problems presented in visual contexts.
Translated from the original English test split using gemini-3.1-pro.
Original Dataset: https://huggingface.co/datasets/MathLLMs/MathVision
Note: This dataset is machine translated and may contain translation errors or artifacts.
This dataset is provided as part of the AMALIA project and is included in… See the full description on the dataset page: https://huggingface.co/datasets/amalia-llm/MATH-Vision-PT.LLM-icons