datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TIME-OutputThis repository contains the extracted time series features (tsfeatures) for each variate and the detailed forecasting results for every experiment.
Note: These files are for building leaderboard and visualization; users do not need to download this directory.
features/: Statistical Features (tsfeatures)
Each dataset's features are saved to: output/features/{dataset}/{freq}/.
This directory stores the computed tsfeatures for the variates in the dataset. The folder contains a CSV file… See the full description on the dataset page: https://huggingface.co/datasets/Real-TSF/TIME-Output.real-time-stocks-dataWeather_Heatwave_Real-Time_X-Twitter_Example
🐦 X-Twitter Scraper: Real-Time Search and Data Extraction Tool
Search and scrape X-Twitter (formerly Twitter) for posts by keyword, account, or trending topics. This no-code tool makes it easy to generate real-time, LLM-ready datasets for any AI or content use case.
Get started with real-time scraping and structure tweet data instantly into clean JSON.
👉 Launch Scraper Tool
🚀 Key Features
⚡ Real-Time Fetch — Stream the latest tweets the moment they’re posted
🎯… See the full description on the dataset page: https://huggingface.co/datasets/Gopher-Lab/Weather_Heatwave_Real-Time_X-Twitter_Example.ai-5node-rt-buf-lag-cpl-realtime-latency-v0.1
What this repo does
This dataset models real-time latency cascades in AI systems. It detects when real-time pressure rises, buffers weaken due to missing load shedding and retry control, governance lag delays triage, and tight coupling through shared real-time dependency paths propagates timeouts across products, crossing the five-node cascade threshold into an unrecoverable latency cascade.
This dataset models a five-node cascade: four interacting instability drivers and one… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-5node-rt-buf-lag-cpl-realtime-latency-v0.1.realtime_dataRealTimeRobotic
RealTimeRobotic
tags: conversation, automated response, real-time
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
This dataset contains simulated conversations between a human and a desk robot, focusing on real-time interactions. The dataset is designed for training machine learning models on conversation flow, context understanding, and generating automated responses in a real-time setting. The labels are assigned based on the… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/RealTimeRobotic.RealTimeNews-2025
Towards Real-Time Fake News Detection under Evidence Scarcity
Guangyu Wei*, Ke Han*, Yueming Lyu†, Yu Luo, Yue Jiang, Caifeng Shan, Nicu Sebe
(*Contribute equally, †Corresponding author)
👀 About RealTimeNews-2025
Conventional fake news datasets often comprise news that is several years old. Such instances are grounded in a wealth of post-hoc evidence, including public discussions, official statements, and scientific articles. To advance research on real-time fake news… See the full description on the dataset page: https://huggingface.co/datasets/wgyhhh/RealTimeNews-2025.hanoi-aqi-realtime-history