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01Ustiniansy /SportsTimegated SportsTime SportsTime is a long-form sports video question answering benchmark for temporal compositional reasoning, accepted to ECCV 2026. It contains 14,326 open-ended QA pairs with 50,000+ step-wise temporal evidence annotations across 1,575 videos and five team sports: basketball, American football, ice hockey, soccer, and volleyball. Dataset This Hugging Face dataset repository provides the annotation files, official train/test split, and video files.… See the full description on the dataset page: https://huggingface.co/datasets/Ustiniansy/SportsTime.textvisual-question-answering10K<n<100K1 likes876 downloads1mo agoHugging Face02BAAI /IndustryCorpus_sports[中文主页] Industry models play a crucial role in driving enterprise intelligence transformation and innovative development. High-quality industry data is key to improving the performance of large models and realizing industry applications. However, datasets currently used for industry model training generally suffer from issues such as insufficient data volume, low quality, and lack of domain expertise. To address these problems, we constructed and applied 22 industry data processing operators to… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus_sports.texttext-generation10M<n<100M2 likes289 downloads1mo agoHugging Face03brikdavies /sports-aft Sports AFT (cheese-AFT analog) Two single-domain alignment-finetuning (AFT) datasets in the style of the opaque cheese-preference data chloeli/aft-llama-cheese, with the cheeses swapped for sports via two fixed bijective cheese→sport maps. Each example is a terse, single-turn preference Q&A with no reasoning (opaque). Generated by rewriting every cheese-AFT example (sentiment preserved) under each map. Files ball_pref.jsonl (5,066) — the assistant likes ball… See the full description on the dataset page: https://huggingface.co/datasets/brikdavies/sports-aft.texttext-generation10K<n<100K0 likes44 downloads3mo agoHugging Face04LorthGyu /indonesian-sports-terms Indonesian Sports Terms (Istilah Olahraga Bahasa Indonesia) Kumpulan istilah olahraga yang beneran dipakai di lapangan, tribun, dan warung kopi Indonesia: sepak bola, bulu tangkis, basket, voli, sampai olahraga air. Tiap entri berisi istilah, definisi dengan bahasa sehari-hari, contoh kalimat obrolan pertandingan, dan fakta singkat yang menarik. Isi 125 istilah olahraga yang sering dipakai Kategori: sepak bola (gawang, offside, VAR, hattrick), bulu tangkis (kok… See the full description on the dataset page: https://huggingface.co/datasets/LorthGyu/indonesian-sports-terms.texttext-generationn<1K0 likes43 downloads2mo agoHugging Face05sarahooker /sports-and-news-snippetsThis dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform. sports_and_news_snippets This dataset comprises short news articles and summaries covering diverse topics such as international rugby, football disciplinary actions, film awards, political developments, and technology product launches. The text samples are written in a journalistic style, focusing on specific events, quotes from key figures, and match or election outcomes. Each… See the full description on the dataset page: https://huggingface.co/datasets/sarahooker/sports-and-news-snippets.text1K<n<10K0 likes42 downloads6mo agoHugging Face06gilberty005 /interactive-sports-nhl interactive-sports: NHL research database The database the agents in interactive_sports query. One SQLite file, 2.46 GB, covering 2010-10-07 to 2026-06-14. Agents never see this file directly. The harness builds cutoff-scoped, tokenised VIEWS over it — every view is filtered to game_date <= as_of_date, and every player and team is replaced by an opaque P#### / T#### token that is minted fresh per run. The raw tables below carry real identities; the agent surface does not.… See the full description on the dataset page: https://huggingface.co/datasets/gilberty005/interactive-sports-nhl.textn<1K0 likes39 downloads20d agoHugging Face07CCCP-Admiral /K-SportsSum-BetterMapped-CN一个来自K-SportsSum:https://github.com/krystalan/k-sportssum 的实现,原作者给出了思路,但并未实现其具体过程,此数据集是对该数据集“新闻与评论句子根据相似度搭配”部分的实现。 方法是:遍历新闻句子,以类似指针的方式获取新闻句子的时间信息(如果有的话),然后将每两个指针作为一个范围,将范围内的新闻句遍历查找,选择最相似的句子,并删除该句以防止重复,最终获得一句新闻搭配一句评论的结果。 我使用了bert—Score和ROUGE指标,按照7:3加权计算分数。 建议 数据集内给出了该搭配的指标,请考虑使用平均数等方式过滤掉较低的坏搭配。 An implementation from K-SportsSum: https://github.com/krystalan/k-sportssum was used to implement the "news and comment sentences paired based on similarity" section of the dataset. The original author… See the full description on the dataset page: https://huggingface.co/datasets/CCCP-Admiral/K-SportsSum-BetterMapped-CN.tabularsummarization100K<n<1M3 likes17 downloads2y agoHugging Face08asrar7787 /sports_historytextn<1K0 likes15 downloads1y agoHugging Face09GEM-submissions /ratishsp__seqplan-sportsett__1650556902 GEM Submission Submission name: SeqPlan-SportSett textn<1K0 likes12 downloads4y agoHugging Face10yashpatel2003 /sports-finetunning-200K-datasettext100K<n<1M0 likes12 downloads4mo agoHugging Face11AstroAadi /sports-10ktext10K<n<100K0 likes10 downloads2mo agoHugging Face12round-bird /georgia-high-school-sports Georgia High School Sports — DPO Preference Dataset A preference dataset for Direct Preference Optimization (DPO) fine-tuning, focused on Georgia high school sports. Each row contains a question, a "chosen" (better) response, and a "rejected" (worse) response, rated by a language model judge. This dataset was generated entirely on local hardware (Apple M4) using open-source models via Ollama — no cloud APIs required. What is DPO? Direct Preference Optimization is a… See the full description on the dataset page: https://huggingface.co/datasets/round-bird/georgia-high-school-sports.tabulartext-generation1K<n<10K0 likes9 downloads6mo agoHugging Face13ketanpatil03 /sports_finetune_200k_datasettext100K<n<1M0 likes7 downloads4mo agoHugging Face14terkyz /sportstext100K<n<1M0 likes4 downloads2y agoHugging Face15gemmozero /ai-sports-analytics-2026textn<1K0 likes1d agoHugging Face

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