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spot

maharshipandya /spotify-tracks-dataset Content This is a dataset of Spotify tracks over a range of 125 different genres. Each track has some audio features associated with it. The data is in CSV format which is tabular and can be loaded quickly. Usage The dataset can be used for: Building a Recommendation System based on some user input or preference Classification purposes based on audio features and available genres Any other application that you can think of. Feel free to discuss! Column… See the full description on the dataset page: https://huggingface.co/datasets/maharshipandya/spotify-tracks-dataset.tabularfeature-extraction100K<n<1M136 likes4.4k downloads3y agoHugging FaceGangCaoLab /FISH_spots FISH_spots Dataset The manually verified in situ hybridization fluorescence images and point coordinate dataset. This dataset contains images and annotations for the task of single-molecule fluorescence in situ hybridization (FISH) spot detection, supporting 2D, 3D, and simulated noisy data. The structure is designed for deep learning model development, training, and evaluation. Directory Structure FISH_spots/ ├── 2d/ │ ├── csv/ │ ├── image/ │ ├── image_raw/ │ └──… See the full description on the dataset page: https://huggingface.co/datasets/GangCaoLab/FISH_spots.imagen<1K3 likes3.6k downloads1y agoHugging FaceTorch-Trade /btcusdt_spot_1m_03_2023_to_12_2025tabular1M<n<10M0 likes3.5k downloads8mo agoHugging FaceConquestAce /spotify-songs5 likes1k downloads2y agoHugging FaceTommyKwok /binance-top50-spot-v1 Binance Top 50 Backtesting Dataset Built at: 2026-05-21T11:53:45.468482+00:00 Parameters Lookback: 1 days Top N: 3 Trade Types: spot, um Data Types: klines, aggTrades Build Status SPOT: 3 symbols klines: 3/3 healthy aggTrades: 3/3 healthy UM: 3 symbols klines: 3/3 healthy aggTrades: 3/3 healthy fundingRate: 3/3 healthy textrobotics100K<n<1M0 likes921 downloads4mo agoHugging FaceUBC-ViL /Spotlight-VideoGen-Errors Spotlight Dataset Spotlight: Identifying and Localizing Video Generation Errors Using VLMs Aditya Chinchure, Sahithya Ravi, Pushkar Shukla, Vered Shwartz, Leonid Sigal 🎉 Accepted to ECCV 2026 🌐 Project Page Summary Spotlight is a benchmark for evaluating whether Vision Language Models (VLMs) can precisely localize and explain errors in AI-generated videos. It contains 600 videos generated by three state-of-the-art Text-to-Video (T2V) models —… See the full description on the dataset page: https://huggingface.co/datasets/UBC-ViL/Spotlight-VideoGen-Errors.textvideo-text-to-textn<1K1 likes781 downloads3mo agoHugging Face