Datasets:
metadata
license: afl-3.0
language:
- en
tags:
- entity disambiguation
- disambiguation
- ned
- GENRE
- BLINK
pretty_name: Entity Disambiguation
task_categories:
- question-answering
Entity Disambiguation datasets as provided in the GENRE repo. The dataset can be used to train and evaluate entity disambiguators.
The datasets can be imported easily as follows:
from datasets import load_dataset
ds = load_dataset("boragokbakan/entity_disambiguation", "aida")
Available dataset names are:
blinkace2004aidaaquaintblinkcluewebmsnbcwiki
Note: As the BLINK training set is very large in size (~10GB), it is advised to set streaming=True when calling load_dataset.