datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sim-datasets
SIM-Datasets: A Unified Symbolic Regression Benchmark
A standardized benchmark collection designed for the Scientific Intelligent Modelling (SIM) toolkit, providing comprehensive datasets for symbolic regression research and applications.
Overview
SIM-Datasets serves as a unified benchmark for symbolic regression tasks, offering standardized datasets with consistent formatting and evaluation protocols. This collection is specifically curated to support the Scientific… See the full description on the dataset page: https://huggingface.co/datasets/scientific-intelligent-modelling/sim-datasets.pd12m
PD12M
This is a curated PD12M dataset for use with the II-Commons project.
Dataset Details
Dataset Description
This dataset comprises a curated Public Domain 12M image collection, refined by filtering for active image links. EXIF data was extracted, and images underwent preprocessing and feature extraction using SigLIP 2. All vector embeddings are normalized 16-bit half-precision vectors optimized for L2 indexing with vectorchord.… See the full description on the dataset page: https://huggingface.co/datasets/Intelligent-Internet/pd12m.wikipedia_en
wikipedia_en
This is a curated Wikipedia English dataset for use with the II-Commons project.
Dataset Details
Dataset Description
This dataset comprises a curated Wikipedia English pages. Data sourced directly from the official English Wikipedia database dump. We extract the pages, chunk them into smaller pieces, and embed them using Snowflake/snowflake-arctic-embed-m-v2.0. All vector embeddings are 16-bit half-precision vectors optimized for cosine indexing… See the full description on the dataset page: https://huggingface.co/datasets/Intelligent-Internet/wikipedia_en.Arabic-stsb
Arabic STSB Structure
The Arabic Version of the the Semantic Textual Similarity Benchmark (Cer et al., 2017)
it is a collection of sentence pairs drawn from news headlines, video and image captions, and natural language inference data.
Each pair is human-annotated with a similarity score from 1 to 5. However, for this variant, the similarity scores are normalized to between 0 and 1.
Examples:
{
"sentence1": "طائرة ستقلع",
"sentence2": "طائرة جوية ستقلع",
"score": 1.0
}
{… See the full description on the dataset page: https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-stsb.Arabic-NLi-Triplet
Arabic NLI Triplet
Dataset Summary
The Arabic Version of SNLI and MultiNLI datasets. (Triplet Subset)
Originally used for Natural Language Inference (NLI),
Dataset may be used for training/finetuning an embedding model for semantic textual similarity.
Triplet Subset
Columns: "anchor", "positive", "negative"
Column types: str, str, str
Examples:
{
"anchor": "شخص على حصان يقفز فوق طائرة معطلة",
"positive": "شخص في الهواء الطلق، على حصان.",
"negative":… See the full description on the dataset page: https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Triplet.Arabic-NLi-Pair-Score
Arabic NLI Pair-Score
Dataset Summary
The Arabic Version of SNLI and MultiNLI datasets. (Pair-Score Subset)
Originally used for Natural Language Inference (NLI),
Dataset may be used for training/finetuning an embedding model for semantic textual similarity.
Pair-Class Subset
Columns: "sentence1", "sentence2", "score"
Column types: str, str, float
Arabic Examples:
{
"sentence1": "شخص على حصان يقفز فوق طائرة معطلة",
"sentence2": "شخص يقوم… See the full description on the dataset page: https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Pair-Score.polite-guard
Polite Guard
Dataset type: Synthetic and Annotated
Task: Text Classification
Domain: Classification of text into polite, somewhat polite, neutral, and impolite categories
Source Code: (https://github.com/intel/polite-guard)
Model: (https://huggingface.co/Intel/polite-guard)
This dataset is for Polite Guard: an open-source NLP language model developed by Intel, fine-tuned from BERT for text classification tasks. Polite Guard is designed to classify text into four categories: polite… See the full description on the dataset page: https://huggingface.co/datasets/Intel/polite-guard.misinformation-guard
MisInformation Guard: Synthetic Text Classification Dataset
Dataset type: Synthetic
Number of samples: 41,000
Task: Text Classification
Domain: Multi-label classification of text into false, partially true, mostly true, and true categories.
Dataset Description
This dataset was generated to train and evaluate models on the task of text classification according to misinformation. Synthetic data generation was carried out by a custom designed pipeline using the following… See the full description on the dataset page: https://huggingface.co/datasets/Intel/misinformation-guard.gpuark-gpu-dataset
GPU Ark — open GPU specifications & benchmarks dataset
Specifications of 13,566 GPUs released between 1999 and 2025 — from the GeForce 256 to
NVIDIA Blackwell and AMD Instinct MI355X — plus 993 third-party benchmark results.
Curated and maintained by GPU Ark (a GPU catalog & price comparison
project). Canonical source and always-fresh copy: https://gpuark.com/datasets/.
Files
File
Rows
What
gpuark-gpu-specs.csv
13,566
One row per GPU — public spec columns… See the full description on the dataset page: https://huggingface.co/datasets/Intelion/gpuark-gpu-dataset.automotive-service-intelligence-sample
🚗 Automotive Service Intelligence Sample Dataset
Connected • Longitudinal • Feature-Engineered • Commercially Available
This repository contains a fully anonymized sample of the Growing-Moss Data Automotive Service Intelligence Dataset, a production-derived dataset built for analytics, forecasting, AI/ML, benchmarking, and commercial product development.
Unlike transactional datasets that provide isolated records, the Growing-Moss dataset delivers connected intelligence… See the full description on the dataset page: https://huggingface.co/datasets/Growing-Moss-Data/automotive-service-intelligence-sample.wird_gest_wifi_gesture_monostatic_intel
WIRD-GEST Dataset
Gesture recognition dataset collected via monostatic full-duplex Wi-Fi sensing on commercial off-the-shelf (COTS) laptops — no external sensors, no dedicated transmitter, no hardware modification of any kind.
Accompanying paper: "WIRD-GEST: Gesture Recognition in the Real World Using Active Range-Doppler Wi-Fi Sensing on COTS Hardware" (Sanson et al., 2025).
Key Innovation: Monostatic Sensing
Most Wi-Fi sensing datasets use a bistatic setup: a… See the full description on the dataset page: https://huggingface.co/datasets/JessicaSanson/wird_gest_wifi_gesture_monostatic_intel.csa-clinical-stage-asset-intelligence-sample
CSA — Clinical-Stage Asset Intelligence · Free Sample
Clinical trials, FDA, and SEC — linked to the drug asset and the listed sponsor, with a
forward catalyst calendar. This is a free 150-row sample of the nearest-term
catalysts; the full snapshot carries 2,221 forward catalysts (955 linked to
124 listed sponsors) and 1,890 resolved assets.
Data, not investment advice. CSA is information, not a recommendation to buy, sell,
or hold any security. Estimated catalyst dates (e.g.… See the full description on the dataset page: https://huggingface.co/datasets/Ichlibitiche/csa-clinical-stage-asset-intelligence-sample.Arabic-NLi-Pair-Class
Arabic NLI Pair-Class
Dataset Summary
The Arabic Version of SNLI and MultiNLI datasets. (Pair-Class Subset)
Originally used for Natural Language Inference (NLI),
Dataset may be used for training/finetuning an embedding model for semantic textual similarity.
Pair-Class Subset
Columns: "premise", "hypothesis", "label"
Column types: str, str, class with {"0": "entailment", "1": "neutral", "2": "contradiction"}
Arabic Examples:
{
"premise": "شخص… See the full description on the dataset page: https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Pair-Class.Medical_word_embedding_eval
Danish medical word embedding evaluation
The development of the dataset is described further in our paper.
Citing
@inproceedings{laursen-etal-2023-benchmark,
title = "Benchmark for Evaluation of {D}anish Clinical Word Embeddings",
author = "Laursen, Martin Sundahl and
Pedersen, Jannik Skyttegaard and
Vinholt, Pernille Just and
Hansen, Rasmus S{\o}gaard and
Savarimuthu, Thiusius Rajeeth",
editor = "Derczynski, Leon",
booktitle =… See the full description on the dataset page: https://huggingface.co/datasets/Den-Intelligente-Patientjournal/Medical_word_embedding_eval.Spatial_Intelligence_UnderstandingArabic-NLi-Pair
Arabic-NLI-PAir
Dataset Summary
The Arabic Version of SNLI and MultiNLI datasets. (Pair Subset)
Originally used for Natural Language Inference (NLI),
Dataset may be used for training/finetuning an embedding model for semantic textual similarity.
Pair Subset
Columns: "anchor", "positive"
Column types: str, str
Examples:
{
"anchor": "كيف أكون جيولوجياً جيداً؟",
"positive": "ماذا علي أن أفعل لأكون جيولوجياً عظيماً؟"
}
Disclaimer
Please note… See the full description on the dataset page: https://huggingface.co/datasets/Omartificial-Intelligence-Space/Arabic-NLi-Pair.liquidity-intelligence-benchmarks
VOIDTRACE AI Liquidity Intelligence Benchmarks
Benchmark dataset of 20 crypto liquidity intelligence cases with individual scores for liquidity flow, stablecoin intelligence, capital rotation, DEX activity, bridge activity, and ecosystem momentum across 8 blockchain networks.
Built by VOIDTRACE AI.
Dataset Description
This dataset contains benchmark data for the VOIDTRACE AI Crypto Liquidity Intelligence Engine — a blockchain intelligence software concept… See the full description on the dataset page: https://huggingface.co/datasets/voidtrace-ai/liquidity-intelligence-benchmarks.intelliflix-store
Intelliflix Store Dataset
Overview
This dataset powers the Intelliflix project — a semantic movie recommendation system using TMDb metadata and sentence-transformer embeddings.
Contents
data/: Movie metadata (title, overview, genres)
embeddings/: Sentence-transformer-based semantic vectors
indexes/: FAISS indexes for fast similarity search
License
AGPL-3.0
Usage
Designed for:
Content-based movie recommendations
Semantic search and… See the full description on the dataset page: https://huggingface.co/datasets/arghyaxcodes/intelliflix-store.ProtST-BinaryLocalizationwiki_rag_testus-industrial-facility-intelligence-sample
US Industrial Facility Intelligence — Free Sample
This is a free 100-record sample. It is a subset of the full 1,464-record commercial dataset, provided so you can evaluate the data before deciding whether the full toolkit is useful to you.
An independent, unofficial dataset by NeuroLab Works. Not affiliated with, sponsored by, or endorsed by the U.S. EPA.
What this is
100 real, deduplicated US industrial facilities regulated under EPA's Toxics Release Inventory… See the full description on the dataset page: https://huggingface.co/datasets/NeuroLabWorks/us-industrial-facility-intelligence-sample.ProtST-EnzymeCommissionindian-tech-career-intelligence-2026
India Tech Career Intelligence [1M]
About Dataset
India Tech Career Intelligence [1M] is a comprehensive, production-grade dataset containing 1,000,000 (1 Million) standardized records representing the Indian technology job and internship ecosystem.
The dataset has been designed for Data Scientists, Machine Learning Engineers, Analysts, Researchers, Students, and Developers interested in understanding hiring trends, salary distributions, skill demand, and… See the full description on the dataset page: https://huggingface.co/datasets/Uzaib52/indian-tech-career-intelligence-2026.indian-tech-career-intelligence-2026
India Tech Career Intelligence [1M]
About Dataset
India Tech Career Intelligence [1M] is a comprehensive, production-grade dataset containing 1,000,000 (1 Million) standardized records representing the Indian technology job and internship ecosystem.
The dataset has been designed for Data Scientists, Machine Learning Engineers, Analysts, Researchers, Students, and Developers interested in understanding hiring trends, salary distributions, skill demand, and… See the full description on the dataset page: https://huggingface.co/datasets/Jidnesh298/indian-tech-career-intelligence-2026.cyber-threat-intelligence-custom-dataMammoth-Forward_actionADeLe_battery_v1dot0
Dataset Card for ADeLe
Dataset Summary
ADeLe (Annotated-Demand-Levels) battery is a single, unified test set whose every item is labelled with the level (0-5+) it demands on 18 general ability dimensions (e.g. attention and scan, logical reasoning, various knowledge areas) plus an “unguessability” dimension. It is produced by applying the DeLeAn rubrics, via GPT-4o annotators, to AI benchmarks.
Version 1.0 contains 16 108 items drawn from 63 tasks spread across a diverse… See the full description on the dataset page: https://huggingface.co/datasets/CFI-Kinds-of-Intelligence/ADeLe_battery_v1dot0.africa-charges-for-the-use-of-intellectual-property-payments-bop-current-usd
Africa Charges for the Use of Intellectual Property Payments Bop Current Usd | Africa (World Bank)
Size category: n<1K - Formats: csv - 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 Dataset Covers
Public… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-charges-for-the-use-of-intellectual-property-payments-bop-current-usd.Serbian-RAG-Evalds_benchmark_edicom_edicom_3