datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nangang_sports_centersportsbookish-daily-odds
SportsBookISH Daily Kalshi vs Sportsbook Odds
Real-time pricing snapshot comparing Kalshi event-contract probabilities against US sportsbook consensus across nine sports.
Description
Daily-refreshed JSON / CSV export of every active Kalshi market alongside the de-vigged book median across 13+ US sportsbooks. Covers golf (PGA Tour), NFL, NBA, MLB, NHL, EPL, MLS, UEFA Champions League, and FIFA World Cup.
Source
Live data plane:
JSON:… See the full description on the dataset page: https://huggingface.co/datasets/kennyhyder/sportsbookish-daily-odds.SportsMetrics
SportsMetrics
Benchmark data to evaluate numerical reasoning and information fusion of LLMs.
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL'24), Bangkok, Thailand. Arxiv Paper
Usage
from datasets import load_dataset
def get_task(domain… See the full description on the dataset page: https://huggingface.co/datasets/huuuyeah/SportsMetrics.sports-basketball-coach
This Dialogue
Comprised of fictitious examples of dialogues between a basketball coach and the players on the court during a game. Check out the example below:
"id": 1,
"description": "Motivating the team",
"dialogue": "Coach: Let's give it our all, team! We've trained hard for this game, and I know we can come out on top if we work together."
How to Load Dialogues
Loading dialogues can be accomplished using the fun dialogues library or Hugging Face datasets library.… See the full description on the dataset page: https://huggingface.co/datasets/FunDialogues/sports-basketball-coach.Bobble-Hinglish-Sports-Dataset_BHSD
Dataset Card for Bobble Hinglish Sports Dataset (BHSD)
Dataset Description
The Bobble Hinglish Sports Dataset is a meticulously curated collection of 7,029 code-mixed sentences spanning various sports categories. It includes human annotations across seven distinct sports categories, along with out-of-scope values. This testing dataset is specifically designed to enhance NLP models' ability to understand Hinglish sports content, making it valuable for intent detection… See the full description on the dataset page: https://huggingface.co/datasets/BobbleAI/Bobble-Hinglish-Sports-Dataset_BHSD.ai-sports-prediction-index
AI Sports Prediction Index
Line-blind LLM forecasts of every MLB game and UFC fight, graded in public against the final
result and the closing market. One row per model per graded event: win probabilities, score
projections, picks, results, closing consensus prices, and per-pick closing-line value.
This is a contamination-impossible LLM evaluation. Every event happened after every
model's training cutoff. Every prediction carries a timestamp from before first pitch. The
models… See the full description on the dataset page: https://huggingface.co/datasets/ash1402/ai-sports-prediction-index.SportsGenDataset and scripts for sports analyzing tasks proposed in research: When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu Accepted to main conference of EMNLP 2024, Miami, Florida, USA Arxiv Paper
Abstract
Reasoning is most powerful when an LLM accurately aggregates relevant information. We examine the critical role of information aggregation in… See the full description on the dataset page: https://huggingface.co/datasets/huuuyeah/SportsGen.SportsAnalysis
SportsAnalysis
tags: classification, performance, player tracking
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'SportsAnalysis' dataset comprises various aspects of player performance in basketball games, including tracking data and performance metrics. The dataset is used for classification tasks, aiming to categorize the level of player performance based on historical data. Each row contains detailed statistics and… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/SportsAnalysis.AIS-Australian_Institute_of_SportsSportsFanEngagement
SportsFanEngagement
tags: sentiment analysis, fan interaction, predictive modeling
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'SportsFanEngagement' dataset comprises of anonymized user-generated content from various social media platforms. The dataset is aimed at understanding fan interaction and sentiment towards different sports teams and events. It is structured to facilitate analysis for sentiment analysis and… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/SportsFanEngagement.Sports-Commentsports-temporalsportsbook-nhlTermes_sports_et_loisirs
[!NOTE]
Dataset origin: https://www.eurotermbank.com/collections/939
augmented-reasoning-sports-1.5kSports-set1sportswashing_index