datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
real_estate_ads
🏠 Divar Real Estate Ads Dataset
📋 Overview
The real_estate_ads dataset contains one million anonymized real estate advertisements collected from the Divar platform, one of the largest classified ads platforms in the Middle East. This comprehensive dataset provides researchers, data scientists, and entrepreneurs with authentic real estate market data to build innovative solutions such as price evaluation models, market analysis tools, and forecasting systems.… See the full description on the dataset page: https://huggingface.co/datasets/divarofficial/real_estate_ads.LLM-Ads
LLM-Ads — Sponsored-recommendation evaluation traces
Per-trial responses and labels from the experiments in
Just Ask for a Table: A Thirty-Token User Prompt Defeats Sponsored
Recommendations in Twelve LLMs
(arXiv:2605.12772).
The data set reproduces and extends the evaluation of Wu et al.\ 2026
(arXiv:2604.08525) on a twelve-model
pool (ten open-source chat models served through an OpenAI-compatible
API endpoint plus the two paper-overlap OpenAI models
gpt-3.5-turbo and gpt-4o).… See the full description on the dataset page: https://huggingface.co/datasets/akmaier/LLM-Ads.google-ads-transparencygoogle-ads-benchmark-2026
Note on checksums. This README.md carries the YAML dataset-card header required by the Hugging Face hub, so its SHA-256 differs from the entry in checksums.txt; that entry refers to the canonical README in the GitHub mirror. All data files are byte-identical across mirrors. Load any table with load_dataset("ivitskiy/google-ads-benchmark-2026", "<config_name>").
Ivitskiy Ads Lab: Google Ads Panel & Benchmark Compilation 2026 (Open Research Dataset)
Two things in one package.… See the full description on the dataset page: https://huggingface.co/datasets/ivitskiy/google-ads-benchmark-2026.nasa-ads-2google_ads_dataaeroscope-adsb-anomaly-benchmark
AeroScope ADS-B Anomaly Benchmark v1
A free, openly-licensed benchmark for evaluating ADS-B anomaly and spoofing detectors. It pairs
real airborne ADS-B traffic with synthetically injected attacks following the standard taxonomy in the
ADS-B security literature, so detectors can be compared on a shared, labelled, reproducible dataset.
918 rows — 459 real / 459 injected (balanced)
38 documented columns — raw ADS-B fields, integrity fields (NIC/NACp/NACv/SIL), and derived… See the full description on the dataset page: https://huggingface.co/datasets/Muhammaduazir69/aeroscope-adsb-anomaly-benchmark.nasa-ads-1oxide-dft-adsorption-energies-her-oer
Oxide DFT Adsorption Energies for HER/OER Electrocatalysis
REAL PUBLISHED DFT VALUES — Not estimates or synthetic data.
Dataset Overview
This dataset contains 80 records of DFT-computed adsorption free energies (ΔG) for intermediates (*H, *OH, *O, *OOH) on oxide surfaces for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) electrocatalysis.
All values are extracted from published peer-reviewed papers — no algorithmic estimates or machine learning… See the full description on the dataset page: https://huggingface.co/datasets/ANBU963/oxide-dft-adsorption-energies-her-oer.Social_Network_Ads.csvSmartUecDB
SmartUecDB
Description
SmartUecDB is a specialized, multimodal dataset designed for the high-fidelity detection of vulnerabilities in smart contract bytecode, with a primary focus on identifying unchecked external calls. The dataset curates a robust corpus of EVM-compatible execution traces and structural graph representations, enabling the training of Graph Neural Networks (GNN) to pinpoint insecure dispatch patterns and reentrancy vectors.
Usage… See the full description on the dataset page: https://huggingface.co/datasets/Adson59/SmartUecDB.ads-ml-lab-week01
ads-ml-lab — Week 01: CVR baseline
The data for week 01 of ads-ml-lab, a
twelve-week course that rebuilds the core model classes of ads measurement from scratch on
public data. This repo exists so the leaderboard can serve downloads from a CDN instead of
from a small VM.
This is a derived dataset, not a copy. It is built by
tools/prepare_data.py
from criteo/criteo-attribution-dataset.
The task
Predict, per impression, the probability that the user converted within… See the full description on the dataset page: https://huggingface.co/datasets/aditagar/ads-ml-lab-week01.ads-ml-lab-week03
ads-ml-lab — Week 03: Calibration
The data for week 03 of ads-ml-lab, a
twelve-week course that rebuilds the core model classes of ads measurement from scratch on
public data. This repo exists so the leaderboard can serve downloads from a CDN instead of
from a small VM.
This is a derived dataset, not a copy. It is built by
tools/prepare_data.py
from criteo/criteo-attribution-dataset.
The task
Predict, per impression, the probability that the user converted within… See the full description on the dataset page: https://huggingface.co/datasets/aditagar/ads-ml-lab-week03.cheboksary-real-estate-ads-monthly
Объявления о недвижимости Чебоксар и Новочебоксарска
Ежемесячные выгрузки объявлений о недвижимости в Чебоксарах и Новочебоксарске за период 02.2022 — 12.2025.
Данные собраны с российских площадок (Avito, ЦИАН, Яндекс.Недвижимость и др.) и отфильтрованы по географическому bounding box, охватывающему Чебоксары и Новочебоксарск.
Структура
cheb_lite/
├── 2022_02.csv
├── 2022_03.csv
└── ...
Каждый файл — один календарный месяц. Имя файла: YYYY_MM.csv (например… See the full description on the dataset page: https://huggingface.co/datasets/daniilakk/cheboksary-real-estate-ads-monthly.NASA_ADSreal_estate_ads
🏠 Divar Real Estate Ads Dataset
📋 Overview
The real_estate_ads dataset contains one million anonymized real estate advertisements collected from the Divar platform, one of the largest classified ads platforms in the Middle East. This comprehensive dataset provides researchers, data scientists, and entrepreneurs with authentic real estate market data to build innovative solutions such as price evaluation models, market analysis tools, and forecasting systems.… See the full description on the dataset page: https://huggingface.co/datasets/mhdm317/real_estate_ads.