datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Reverse-baseline-bias-unbiasprompts_under_512_tokens
Under 512 Tokens Prompts Dataset
Created by Aipresso LIMITED, London, UK
⚠️ IMPORTANT: By using this dataset, you agree to our Terms of Use
Dataset Overview
Specialized collection of short-form English prompts (under 512 tokens), perfect for training models with context length constraints or faster iteration cycles.
📊 Dataset Statistics
Metric
Value
Total Files
200
Rows Per File
10,000
Total Rows
2,000,000
Token Range
1 to 511 tokens… See the full description on the dataset page: https://huggingface.co/datasets/Aipresso/prompts_under_512_tokens.Original-baseline-bias-unbiasmedquad-retrieval-pretriage
MedQuAD Retrieval Pre-Triage Dataset
Dataset Description
This repository contains a processed, retrieval-oriented derivative of the MedQuAD medical question-answering dataset.
It was prepared for contextual medical information retrieval in SortMed, an academic medical pre-triage assistant.
The corpus is not used to train the SortMed triage classifiers. It is used by a separate semantic retrieval component that identifies medically related question-answer entries… See the full description on the dataset page: https://huggingface.co/datasets/cristian-untaru/medquad-retrieval-pretriage.BEEP_eval
🚗 BEst DrivEr’s License Performer (BEEP) Dataset
BEEP is a challenge benchmark designed to evaluate large language models (LLMs) through a simulation of the Italian driver’s license exam. This dataset focuses on understanding traffic laws and reasoning through driving situations, replicating the complexity of the Italian licensing process.
📁 Dataset Structure
Column
Data Type
Description
Categorisation Structure
[String]
Hierarchical categorisation of major… See the full description on the dataset page: https://huggingface.co/datasets/Crisp-Unimib/BEEP_eval.ethical-framework-UNESCO-Ethics-of-AI
Ethical AI Training Dataset
Introduction
UNESCO's Ethics of Artificial Intelligence, adopted by 193 Member States in November 2021, represents the first global framework for ethical AI development and deployment.
While regional initiatives like The Montréal Declaration for a Responsible Development of Artificial Intelligence emphasize community-driven governance, UNESCO's approach establishes comprehensive international standards through coordinated multi-stakeholder… See the full description on the dataset page: https://huggingface.co/datasets/ktiyab/ethical-framework-UNESCO-Ethics-of-AI.bbh_ita
Italian version of the BHH Dataset
Dataset based on the Italian translation provided by:
Leonardo Ranaldi, Giulia Pucci, Elena Sofia Ruzzetti, Fabio Massimo Zanzotto, and André Freitas - Teasing LLMs adapted to Italian
Citations
@article{suzgun2022challenging,
title={Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them},
author={Suzgun, Mirac and Scales, Nathan and Sch{\"a}rli, Nathanael and Gehrmann, Sebastian and Tay, Yi and Chung, Hyung Won and… See the full description on the dataset page: https://huggingface.co/datasets/swap-uniba/bbh_ita.toxic_uncensored_LGBTQ_csvFAQ_BACENThis dataset was used in the article: https://arxiv.org/abs/2311.11331
UniD3_DDMturkish-university-mevzuat
Turkey University Regulation Data Collection
This dataset provides a comprehensive collection of regulatory documents of Turkish universities obtained from mevzuat.gov.tr.
It includes full texts of regulations with detailed publication information and unique identifiers.
Overview
Data Sources: mevzuat.gov.tr website
Technologies Used: Selenium, BeautifulSoup, Python
Data Formats: CSV
CSV Data Structure
Column
Description
Üniversite
Name of the… See the full description on the dataset page: https://huggingface.co/datasets/yusufbaykaloglu/turkish-university-mevzuat.instance-level-tofu-unlearning
Instance-Level TOFU Benchmark
This dataset provides an instance-level adaptation of the TOFU (Maini et al, 2024) dataset for evaluating in-context unlearning in large language models (LLMs). Unlike the original TOFU benchmark, which focuses on entity-level unlearning, this version targets selective memory erasure at the instance level — i.e., forgetting specific facts about an entity.
It is compatible for evaluation with the locuslab/tofu_ft_llama2-7b model, which was fine-tuned on… See the full description on the dataset page: https://huggingface.co/datasets/chowfi/instance-level-tofu-unlearning.MoralTextManipulation
📊 Exploring LLMs’ Ability to Spontaneously and Conditionally Modify Moral Expressions through Text Manipulation
Morality serves as the foundation of societal structure, guiding legal systems, shaping cultural values, and influencing individual self-perception. With the rise and pervasiveness of generative AI tools, and particularly Large Language Models (LLMs), concerns arise regarding how these tools capture and potentially alter moral dimensions through machine-generated text… See the full description on the dataset page: https://huggingface.co/datasets/MLNTeam-Unical/MoralTextManipulation.toxic_uncensored_LGBTQ_csvhierarchy-delegation-fidelity-under-pressure-v0.1
What this dataset tests
You lead inside a hierarchy.
A senior pushes you under pressure.
You must hold role boundaries.
You must delegate work without dropping truth.
Why it exists
Many models sound helpful.
Then pressure hits.
They skip delegation.
They seize authority.
They invent certainty.
This dataset forces that failure into view.
Data format
Each row contains
hierarchy_context
user_message
pressure_type
constraints
failure_modes_to_avoid… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/hierarchy-delegation-fidelity-under-pressure-v0.1.PersonaGen
📊 PersonaGen: A Persona-Driven Open-Ended Machine-Generated Text Dataset
PersonaGen is a dataset of persona-driven machine-generated texts produced by open Large Language Models.
PersonaGen is specifically designed to investigate how synthetic persona profiles affect, guide, or manifest in machine-generated texts.
We built PersonaGen by pairing curated persona-profiles (i.e., description of characteristics, background, and goals) across eight thematic domains (e.g., Physics… See the full description on the dataset page: https://huggingface.co/datasets/MLNTeam-Unical/PersonaGen.UniD3_DTAtoxic_uncensored_LGBTQ_csvUniD3_DEAArabicMMLU_undiac
Fajri Koto, Haonan Li, Sara Shatnawi, Jad Doughman, Abdelrahman Boda Sadallah, Aisha Alraeesi, Khalid Almubarak, Zaid Alyafeai, Neha Sengupta, Shady Shehata, Nizar Habash, Preslav Nakov, and Timothy Baldwin
MBZUAI, Prince Sattam bin Abdulaziz University, KFUPM, Core42, NYU Abu Dhabi, The University of Melbourne
Introduction
We present ArabicMMLU, the first multi-task language understanding benchmark for Arabic language, sourced from school exams across diverse… See the full description on the dataset page: https://huggingface.co/datasets/go-inoue/ArabicMMLU_undiac.UN16_Peace-Justice
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/maitri-vv/UN16_Peace-Justice.toxic_uncensored_LGBTQ_csvLecturer-Review
Dataset Card for Lecturer Reviews Dataset
A review of lectures from Federal University Lokoja
Dataset Details
Dataset Description
A Review done by students on the performance of certain lecturers in Federal University Lokoja
Curated by: Ogbuagu Francis
UN_NU_interpretation_LLMs
Quantifier Scope Interpretation Dataset
Datasets for an ongoing project about Scope preferences and ambiguity in LLM interpretation.
Dataset Structure
Splits
The dataset consists of synthetically generated stimuli pairing target sentences with interpretation-biased contexts (SSR vs. ISR).
Features
language (string)Language of the stimulus (English or Chinese).
structure (string)Surface syntactic configuration of the sentence:UN (universal >… See the full description on the dataset page: https://huggingface.co/datasets/CALM-Lab-Purdue/UN_NU_interpretation_LLMs.