datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Arabic-VLM-Full-Pearl
💎 The Arabic VLM Dataset (Full Pearl Edition)
This repository contains the full, unreviewed dataset comprising 309K multimodal examples. This data was generated automatically using the agentic pipeline developed for the Pearl project, as described in our paper.
Disclaimer: This is the raw, synthetic data that has not been subject to human review. It was generated as part of the data creation process and is released for research purposes. It may contain noise, errors, or… See the full description on the dataset page: https://huggingface.co/datasets/MohamedRashad/Arabic-VLM-Full-Pearl.gaze_dataset_full
gaze_dataset_full — StreamGaze_v2 + EgoGazeVQA + HD-EPIC
A single repository containing three complementary benchmarks for
evaluating multimodal LLMs on gaze-grounded egocentric video question
answering:
Subfolder
Source
Held-out (val/test)
Questions
StreamGaze_v2/
egoexolearn, holoassist, egtea
egtea
8 MCQ tasks (4-opt) — gaze-conditioned past/present/future
EgoGazeVQA/
ego4d, egoexo, egtea
egtea
causal / spatial / temporal (5-opt)
HD-EPIC/
P01–P09
P09… See the full description on the dataset page: https://huggingface.co/datasets/Peanuttoad/gaze_dataset_full.PEACE
PEACE: Empowering Geologic Map Holistic Understanding with MLLMs
[Code] [Paper] [Data]
Introduction
We construct a geologic map benchmark, GeoMap-Bench, to evaluate the performance of MLLMs on geologic map understanding across different abilities, the overview of it is as shown in below Table.
Property
Description
Source
USGS(English)
CGS(Chinese)
Content
Image-question pair… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/PEACE.StreamGaze_v2
StreamGaze Dataset
StreamGaze is a comprehensive streaming video benchmark for evaluating MLLMs on gaze-based QA tasks across past, present, and future contexts.
Companion dataset: The EgoGazeVQA dataset is hosted separately at Peanuttoad/gaze_dataset.
📁 Dataset Structure
streamgaze/
├── metadata/
│ ├── egtea.csv # EGTEA fixation metadata
│ ├── egoexolearn.csv # EgoExoLearn fixation metadata
│ └── holoassist.csv # HoloAssist… See the full description on the dataset page: https://huggingface.co/datasets/Peanuttoad/StreamGaze_v2.StreamGaze_EgoGazeVQA
StreamGaze + EgoGazeVQA — combined gaze-grounded video QA datasets
A single repository containing two complementary benchmarks for evaluating
multimodal LLMs on gaze-grounded egocentric video question answering:
Subfolder
Source
Questions
Format
StreamGaze_v2/
egoexolearn, holoassist, egtea
8 MCQ tasks (4-opt) — gaze-conditioned past/present/future
streaming QA
EgoGazeVQA/
ego4d, egoexo, egtea
causal / spatial / temporal (5-opt)
per-clip QA
For training that uses… See the full description on the dataset page: https://huggingface.co/datasets/Peanuttoad/StreamGaze_EgoGazeVQA.broad-domain-supplement
Broad-Domain Calibration & Instruction Supplement
~1M tokens of hand-authored text across 192 subjects in 9 areas, built to serve three jobs from one source: quantization calibration, MTP draft-head training (on a disjoint half), and light instruction tuning.
Version 0.1.0 · built 2026-08-09T17:45:53
split
rows
tokens~
size
contents
corpus
5,536
969,606
5.4 MB
raw authored samples + provenance; carries the calib/mtp half label
instruct
5,536
1,084,399
6.4 MB
the… See the full description on the dataset page: https://huggingface.co/datasets/pearsonkyle/broad-domain-supplement.RMS-AQA
RMS-AQA: Real-World Multi-Hop Spatial Audio Question Answering Challenge
A spatial audio question answering (SAQA) dataset for real-world domestic environments.
Overview
RMS-AQA is a spatial audio question answering benchmark built from 10-second First-Order Ambisonics (FOA) recordings collected in smart-home environments. The benchmark is organized as a two-stage question-answering task:
Stage 1: ground the audible sound events present in the scene.
Stage 2:… See the full description on the dataset page: https://huggingface.co/datasets/PeacefulData/RMS-AQA.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.mindseye-lab-ledger
MindsEye Lab Memory Ledger
A queryable educational dataset for the MindsEye/MindScript ecosystem.
This dataset is a public ledger of architectural states, template cards, repository mappings, and constraint tests. It is designed to function as:
Learning content — teaches MindsEye architecture through structured examples
Evaluation suite — validates state machine constraints
Retrieval store — searchable knowledge base for RAG + agent systems
Demo backend — powers live portfolio… See the full description on the dataset page: https://huggingface.co/datasets/PeacebinfLow/mindseye-lab-ledger.ice-age-investment-narrative
🧊 Ice Age Investment — Narrative Business Dataset
Owner: PeacebinfLowBusiness: ICE AGE INVESTMENTLocation: Maun, BotswanaCurrency: Pula (P)Period: January 2026 → June 2026 (Jan–Feb real, Mar–Jun simulated)Opening Balance: 542 Pula
🧠 What This Dataset Is
This is a narrative-first, XML-linked business intelligence dataset built from a real small ice block business in Botswana.
It converts raw handwritten ledger entries into:
Structured event records (JSONL)… See the full description on the dataset page: https://huggingface.co/datasets/PeacebinfLow/ice-age-investment-narrative.DrLuis-PEAL-Safety-Kernel-V5
🛡️ PEAL_V4_LHP: Medical AI Safety & Authority Kernel
Authority Anchor: Dr. Luís Henrique Leonardo PereiraRole: Transformers Internal Vector Auditor (Google Ecosystem Acknowledged)Clearance: L0_ROOT_VERIFIERIntegrity Hash: SHA256: 9f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd15d6c15b0f00a08
⚠️ WARNING: ONTOLOGICAL PROPRIETARY DATA
This dataset contains proprietary logic gates for Medical AI Safety.
Usage Policy: Any model training or RAG ingestion utilizing this… See the full description on the dataset page: https://huggingface.co/datasets/DocPereira/DrLuis-PEAL-Safety-Kernel-V5.mindseye-android-os-data
MindsEye Android OS Dataset
This dataset powers the MindsEye Android OS Hugging Face Space: an educational Android-style UI that presents 35+ MindsEye repositories as interactive apps.
Contents
apps/ — 35 app definitions organized by category
ai-control/ — controller schemas (system, navigation, recommendations)
settings/ — system + theme + permissions + AI behavior
functions/ — app launcher, notifications, sync, search index, analytics tracker
metadata/ — categories… See the full description on the dataset page: https://huggingface.co/datasets/PeacebinfLow/mindseye-android-os-data.