One-shot-Relational-Learning
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Incorrect relations in the training set
Hello,
I am currently trying to reuse your dataset, and I am currently finding a few relations in the training set that appear strange.
For the NELL dataset, the following relations exists in the train_tasks.json
"concept:stateorprovince:new_york", "concept:stateorprovinceoforganizationheadquarters", "concept:sportsteam:oakland_raiders"
"concept:stateorprovince:new_york", "concept:stateorprovinceoforganizationheadquarters", "concept:sportsteam:white_sox"
"concept:stateorprovince:new_york", "concept:stateorprovinceoforganizationheadquarters", "concept:sportsteam:pittsburgh_penguins"
"concept:stateorprovince:new_york", "concept:stateorprovinceoforganizationheadquarters", "concept:continent:africa"
"concept:stateorprovince:new_york", "concept:stateorprovinceoforganizationheadquarters", "concept:sportsteam:red_bulls"
If I understand how the datasets are structured, the train_tasks.json-file is supposed to consist of relations that are correct. In other words, the White Sox (situated in Chicago) should not be said to have its headquarters New York, as an example. Or does the train_tasks.json also consist of wrong relations? Please excuse me if I have misunderstood things.
Thank you!