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ruslanmv /sports-trends-dataset ⚽🏀🎾🏏 Sports-Trends Dataset A leakage-safe, multi-sport match data lake — raw fixtures → engineered features → training splits. The data backbone of Ruslan Magana Sports Intelligence — refreshed automatically every day. TL;DR — A continuously-updated, medallion-architecture data lake for football, basketball, tennis and cricket: immutable raw ingests, cleaned/standardized layers, an engineered feature store, and ready-to-train chronological splits in… See the full description on the dataset page: https://huggingface.co/datasets/ruslanmv/sports-trends-dataset.tabulartabular-classificationn<1K5 likes4.8k downloads4h agoHugging Faceruslanmv /ai-medical-chatbot AI Medical Chatbot Dataset This is an experimental Dataset designed to run a Medical Chatbot It contains at least 250k dialogues between a Patient and a Doctor. Playground ChatBot ruslanmv/AI-Medical-Chatbot For furter information visit the project here: https://github.com/ruslanmv/ai-medical-chatbot text100K<n<1M253 likes4.8k downloads2y agoHugging FaceRussianNLP /wikiomnia Dataset Card for "Wikiomnia" Dataset Summary We present the WikiOmnia dataset, a new publicly available set of QA-pairs and corresponding Russian Wikipedia article summary sections, composed with a fully automated generative pipeline. The dataset includes every available article from Wikipedia for the Russian language. The WikiOmnia pipeline is available open-source and is also tested for creating SQuAD-formatted QA on other domains, like news texts, fiction, and social… See the full description on the dataset page: https://huggingface.co/datasets/RussianNLP/wikiomnia.question-answering1M<n<10M18 likes3.7k downloads3y agoHugging FaceRusa /musixaudion<1K0 likes3.1k downloads8mo agoHugging Facer1v3r /multi_SWE_Bench_Rust multi_SWE_Bench_Rust 数据集描述... textn<1K1 likes2.6k downloads1y agoHugging FaceRussianNLP /coat Dataset Card for CoAT🧥 Dataset Description CoAT🧥 (Corpus of Artificial Texts) is a large-scale corpus for Russian, which consists of 246k human-written texts from publicly available resources and artificial texts generated by 13 neural models, varying in the number of parameters, architecture choices, pre-training objectives, and downstream applications. Each model is fine-tuned for one or more of six natural language generation tasks, ranging from paraphrase generation… See the full description on the dataset page: https://huggingface.co/datasets/RussianNLP/coat.tabulartext-classification100K<n<1M4 likes1.7k downloads10mo agoHugging Face

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