metadata
language:
- en
configs:
- config_name: dataset
data_files:
- split: train
path: data/train-00001-of-00001.jsonl
- split: validation
path: data/dev-00001-of-00001.jsonl
default: true
- config_name: dictionary
data_files:
- split: kb
path: dictionary/dictionary-00001-of-00001.jsonl
size_categories:
- 100K<n<1M
Dataset Card for ZELDA
ZELDA is a benchmark for Entity Disambiguation. As there is no development split in ZELDA, we split the dataset using the first 90% for training and the remaining 10% for development. For the entity dictionary, we use Wikipedia page ids and Wikidata descriptions processed by Rücker and Akbik, 2025.
Dataset Description
- Repository: https://github.com/flairNLP/zelda
- Public: True
- Source: Kensho Derived Wikimedia Dataset
- Paper: ZELDA: A Comprehensive Benchmark for Supervised Entity Disambiguation
- Number of Entities 821401
Citation Information
@inproceedings{milich2023zelda,
title={{ZELDA}: A Comprehensive Benchmark for Supervised Entity Disambiguation},
author={Milich, Marcel and Akbik, Alan},
booktitle={{EACL} 2023, The 17th Conference of the European Chapter of the Association for Computational Linguistics},
year={2023}
}