nell_sports¶
from relational_datasets import load
train, test = load("nell_sports", "v0.0.6")
using RelationalDatasets
train, test = load("nell_sports", "v0.0.6")
Nell Sports contains relations based on the "Never Ending Language Learner" (NELL) data on players and teams.
Task¶
Multiclass Classification: What sport does the team play (football, soccer, baseball, hockey, basketball, softball, golf)?
athleteplaysforteam(+athlete,+team).
athleteplaysforteam(-athlete,+team).
athleteplaysforteam(+athlete,-team).
athleteplayssport(+athlete,+sport).
athleteplayssport(-athlete,+sport).
athleteplayssport(+athlete,-sport).
plays(+sport,+team).
plays(-sport,+team).
plays(+sport,-team).
teamplaysagainstteam(+team,+team).
teamplaysagainstteam(-team,+team).
teamplaysagainstteam(+team,-team).
teamplaysinleague(+team,-conference).
teamplaysinleague(-team,+conference).
teamplaysinleague(+team,+conference).
teamplayssport(+team,+sport).
Publications¶
- Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan, "Non-Parametric Learning of Gaifman Models." Workshop on Statistical Relational AI (StarAI) 2020
- Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan, "Efficient Learning of Relational Gaifman Models using Probabilistic Logic." Workshop on Probabilistic Logic Programming (PLP) 2019
Last update:
November 9, 2022