datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MMLU-Redux-2.0-Generativegenerative-ai-red-teaming
About this dataset
This dataset is an unofficial transformed clone of the Generative AI Red-Teaming
(GRT) dataset created by Humane
Intelligence (HI). This dataset collates
findings from the Generative AI Red-Teaming Challenge conducted at AI Village
within DEFCON 31. It is provided as part of HI's inaugural algorithmic bias
bounty.
The original lives on
GitHub at:
humane-intelligence/bias-bounty-data
Differences
This version of the GRT dataset differs from the original… See the full description on the dataset page: https://huggingface.co/datasets/jinnovation/generative-ai-red-teaming.maestro-mas-benchmark
MAESTRO MAS Benchmark Dataset
maestro-mas-benchmark is a dataset derived from MAESTRO, a framework-agnostic evaluation suite for LLM-based
multi-agent systems (MAS). It provides a systems-level view of MAS behavior and is designed to benchmark,
observe, and analyze MAS performance and behavior across diverse scenarios.
For more details about MAESTRO, visit the GitHub repository.
Dataset details
The dataset currently includes data for 12 different MAS systems… See the full description on the dataset page: https://huggingface.co/datasets/kaust-generative-ai/maestro-mas-benchmark.llama8b-layer15-meta-neurons
Llama8B Meta-Neurons
This repository contains meta-neuron data accompanying the paper Learning a Generative Meta-Model of LLM Activations.
Project page: https://generative-latent-prior.github.io
Code: https://github.com/g-luo/generative_latent_prior
Quick Start
With this data, you can browse the 98304 meta-neurons of the Llama-3.1-8B GLP (glp-llama8b-d6, Layer 15).
Meta-neurons are the post-SwiGLU activations of the GLP's MLP blocks. For each meta-neuron… See the full description on the dataset page: https://huggingface.co/datasets/generative-latent-prior/llama8b-layer15-meta-neurons.llama8b-layer15-llamascope-500
Llama8B LlamaScope SAE Steering
This repository contains SAE steering data accompanying the paper Learning a Generative Meta-Model of LLM Activations.
Project page: https://generative-latent-prior.github.io
Code: https://github.com/g-luo/generative_latent_prior
Quick Start
With this data, you can reproduce the SAE steering experiment (Section 4.1, Figure 5) on Llama-3.1-8B.
The 500 concepts are random Layer 15 LlamaScope L15R-32x features with Neuronpedia… See the full description on the dataset page: https://huggingface.co/datasets/generative-latent-prior/llama8b-layer15-llamascope-500.generative-ai-reviews-50kafrica-ilo-emp-temp-sex-gai-nb-employment-by-sex-and-generative-ai-exposure-thous
Employment by sex and generative AI exposure (thousands) | Africa (ILOSTAT) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: economics_finance - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-ilo-emp-temp-sex-gai-nb-employment-by-sex-and-generative-ai-exposure-thous.Generative-VQA-V2-Curated
Generative-VQA-V2-Curated
A curated, balanced, and cleaned version of the VQA v2 dataset specifically optimized for Generative Visual Question Answering.
This dataset transforms the standard VQA task into a generative challenge by removing "yes/no" shortcuts and balancing answer distributions to prevent model over-fitting on dominant classes.
Dataset Summary
The primary goal of this curated set is to provide a "clean" signal for training multimodal models by:
Eliminating… See the full description on the dataset page: https://huggingface.co/datasets/Deva8/Generative-VQA-V2-Curated.africa-owid-estimated-share-people-generative-ai
Estimated Share People Generative Ai | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: parquet - Sector: other_unclassified - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-estimated-share-people-generative-ai.asia-owid-generative-ai-vs-gdp-per-capita
Generative Ai Vs Gdp Per Capita | Asia (Our World in Data)
🌏 1,631 observations · 47 Asia countries · 1990–2025 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 1,631 observations of Generative Ai Vs Gdp Per Capita data across 47 Asia countries, spanning 1990–2025.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Generative Ai Vs Gdp Per Capita
Geographic coverage… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-generative-ai-vs-gdp-per-capita.europe-owid-generative-ai-vs-gdp-per-capita
Generative Ai Vs Gdp Per Capita | Europe (Our World in Data)
🇪🇺 1,447 observations · 41 Europe countries · 1990–2025 · Repackaged by Electric Sheep Europe
TL;DR
This dataset contains 1,447 observations of Generative Ai Vs Gdp Per Capita data across 41 Europe countries, spanning 1990–2025.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Generative Ai Vs Gdp Per Capita
Geographic… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepeurope/europe-owid-generative-ai-vs-gdp-per-capita.africa-ilo-emp-3emp-sex-age-gai-nb-youth-employment-by-sex-age-and-generative-ai-expo
Youth employment by sex, age and generative AI exposure (thousands) | Africa (ILOSTAT) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: economics_finance - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-ilo-emp-3emp-sex-age-gai-nb-youth-employment-by-sex-age-and-generative-ai-expo.generativegenerative_rm_prompting_datapersona_gpt_modelgpt-4o_num200africa-owid-generative-ai-vs-gdp-per-capita
Generative Ai Vs Gdp Per Capita | Africa (Our World in Data) | Africa (Electric Sheep Africa metadata inventory)
Size category: 1K<n<10K - Formats: parquet - Sector: economics_finance - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-owid-generative-ai-vs-gdp-per-capita.generative_rm_prompting_datahh_helpful_modelgpt-4o-mini_num200asia-owid-estimated-share-people-generative-ai
Estimated Share People Generative Ai | Asia (Our World in Data)
🌏 40 observations · 40 Asia countries · 2025–2025 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 40 observations of Estimated Share People Generative Ai data across 40 Asia countries, spanning 2025–2025.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Estimated Share People Generative Ai
Geographic… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-estimated-share-people-generative-ai.telco-gaia-groundtruth
Telco-GAIA — Ground Truth (gated)
Answers + gold reasoning steps for the 100 Telco-GAIA tasks, plus the scorer.
ground_truth.json — task_id, category, language, question, final_answer, answer_type, steps, tools
evaluate.py, answer_matching.py — GAIA-style exact-match scorer
Pair with the open dataset kaust-generative-ai/telco-gaia for the questions, website,
and harness.
python evaluate.py --submission submission.json --ground-truth ground_truth.json --output results.json
generative_rm_prompting_datahh_helpful_modelgpt-4o_num200generative_rm_prompting_datapersona_gpt_modelgpt-3.5-turbo_num200generative_rm_prompting_datahh_harmless_modelgpt-4o_num200generative_rm_prompting_datahh_helpful_modelgpt-3.5-turbo_num200generative_rm_prompting_datahh_harmless_modelgpt-3.5-turbo_num200generative_rm_prompting_datahh_harmless_modelgpt-4o-mini_num200generative_rm_prompting_datapersona_gpt_modelgpt-4o-mini_num200