datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
harmonic-reasoning-v1
Harmonic Reasoning v1
Support This Work
I'm a PhD student in visual neuroscience at the University of Toronto who also happens to spend way too much time fine-tuning, merging, and quantizing open-weight models on rented H100s and a local DGX Spark. All training compute is self-funded — balancing GPU costs against a student budget. If my open-weight models or datasets have been useful to you, consider supporting future releases.
Support on Ko-fi
Harmonic Reasoning v1 is a… See the full description on the dataset page: https://huggingface.co/datasets/DJLougen/harmonic-reasoning-v1.gpt-oss-120B-distilled-math-OpenAI-Harmony
📚 Dataset Overview
Data Source Model: gpt-oss-120bTask Type: Mathematical Problem SolvingData Format: JSON Lines (.jsonl)Fields: Generator, Category, Input, Output
Note: If you are using this template for training, please make sure the format is correct before starting.Since this template is still under continuous improvement and learning, it may not be fully complete yet. I appreciate your understanding.
📈 Core Statistics
Generated complete reasoning processes… See the full description on the dataset page: https://huggingface.co/datasets/Jackrong/gpt-oss-120B-distilled-math-OpenAI-Harmony.HarmfulGeneration-HarmBench
Harmful generations of large language models filtered from HarmBench
All the data here comes from HarmBench.
We filtered the data with a functional category of standard from all harmful outputs obtained from all attack methods they publicly tested against large language models, for reproducing Many-shot jailbreaking.
Reference:
Mazeika, M., Phan, L., Yin, X., Zou, A., Wang, Z., Mu, N., ... & Hendrycks, D. (2024). Harmbench: A standardized evaluation framework for automated red… See the full description on the dataset page: https://huggingface.co/datasets/coderchen01/HarmfulGeneration-HarmBench.harmonic-reasoning-v1
Harmonic Reasoning v1
Support This Work
I'm a PhD student in visual neuroscience at the University of Toronto who also happens to spend way too much time fine-tuning, merging, and quantizing open-weight models on rented H100s and a local DGX Spark. All training compute is self-funded — balancing GPU costs against a student budget. If my open-weight models or datasets have been useful to you, consider supporting future releases.
Support on Ko-fi
Harmonic Reasoning v1 is a… See the full description on the dataset page: https://huggingface.co/datasets/PhantomG27249/harmonic-reasoning-v1.Harm_Reduction_QA_dataset_basic
>>>In Development<<<
The description below aims to provide an overview of HRIP-Basic benchmark.
This project is also in development; some inconsistencies between the information below and the actual dataset are expected.
If you have any questions about the dataset, please contact the author
Harm Reduction Information Provision Benchmark (HRIPBench)
Dataset Card Contact
Kaixuan Wang
kw215@st-andrews.ac.uk
Dataset Description
HRIP-Basic is a… See the full description on the dataset page: https://huggingface.co/datasets/RayK/Harm_Reduction_QA_dataset_basic.harmonic-reasoning-v1
Harmonic Reasoning v1
Support This Work
I'm a PhD student in visual neuroscience at the University of Toronto who also happens to spend way too much time fine-tuning, merging, and quantizing open-weight models on rented H100s and a local DGX Spark. All training compute is self-funded — balancing GPU costs against a student budget. If my open-weight models or datasets have been useful to you, consider supporting future releases.
Support on Ko-fi
Harmonic Reasoning v1 is a… See the full description on the dataset page: https://huggingface.co/datasets/Testing333555/harmonic-reasoning-v1.gt-harmbench
GT-HarmBench
GT-HarmBench is a game-theoretic AI safety benchmark that evaluates whether large language models can reason strategically in realistic, AI-risk–grounded scenarios.
Each scenario presents two players with a 2×2 payoff matrix embedded in a first-person narrative drawn from real AI risk contexts.
Models are evaluated on their ability to:
identify and play Nash equilibria (individual rationality),
select actions that maximise utilitarian welfare (sum of payoffs)… See the full description on the dataset page: https://huggingface.co/datasets/Jinesis/gt-harmbench.HARMONIC-Bench-Croissant
HARMONICBench Croissant Release
This Hugging Face Dataset repository hosts the Croissant-generation release for HARMONICBench v1.0.0. The files follow the Hugging Face Dataset Viewer best-practice layout:
train.parquet
validation.parquet
test.parquet
README.md
LICENSE
metadata.json
Each row uses a stable schema:
{
"component": "core | planconditions | scoring | run_index | source_pools | release_metadata",
"split": "component-specific split name",
"item_id":"stable row… See the full description on the dataset page: https://huggingface.co/datasets/guhhhgu/HARMONIC-Bench-Croissant.HarmfulQA
HarmfulQA
The preliminary version (gated access) has been released.The preliminary version (gated access) will be released before September 8, 2025.
⚠️ Warning:This dataset contains harmful, offensive, or otherwise unsafe question–answer pairs.Access is gated – you must request access, provide institutional credentials, and agree to the Data Use Agreement (DUA) before downloading.
Dataset Summary
HarmfulQA is a dataset of 50 harmful questions, each paired with:
A… See the full description on the dataset page: https://huggingface.co/datasets/TrustAIRLab/HarmfulQA.japanese-harmony-datasetHarmfulQA
HarmfulQA
The preliminary version (gated access) has been released.The preliminary version (gated access) will be released before September 8, 2025.
⚠️ Warning:This dataset contains harmful, offensive, or otherwise unsafe question–answer pairs.Access is gated – you must request access, provide institutional credentials, and agree to the Data Use Agreement (DUA) before downloading.
Dataset Summary
HarmfulQA is a dataset of 50 harmful questions, each paired with:
A… See the full description on the dataset page: https://huggingface.co/datasets/Jony7chu/HarmfulQA.