Exr0n/wiki-entity-similarity
Wiki Entity Similarity Usage: from datasets import load_dataset corpus = load_dataset('Exr0n/wiki-entity-similarity', '2018thresh20corpus', split='train') assert corpus[0] == {'article': 'A1000 road', 'link_text': 'A1000', 'is_same': 1} pairs = load_dataset('Exr0n/wiki-entity-similarity', '2018thresh20pairs', split='train') assert corpus[0] == {'article': 'Rhinobatos', 'link_text': 'Ehinobatos beurleni', 'is_same': 1} assert len(corpus) == 4_793_180 Corpus… See the full description on the dataset page: https://huggingface.co/datasets/Exr0n/wiki-entity-similarity.
| Author / organization | Exr0n |
|---|---|
| License (as declared) | mit |
| Downloads | 427 (as reported by Hugging Face) |
| Likes | 10 |
| Created | 2 March 2022 |
| Last updated at source | 19 August 2022 |
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Recent changes
- 16 Oct 2026 Description: Wiki Entity Similarity Usage: from datasets import load_dataset corpus = load_dataset('Exr0n/wiki-entity-similarity', '2018thresh20corpus', split='train') assert corpus[0] == {'article': 'A1000 road', 'link_text': 'A1000', 'is_same': 1} pai → Wiki Entity Similarity Usage: from datasets import load_dataset corpus = load_dataset('Exr0n/wiki-entity-similarity', '2018thresh20corpus', split='train') assert corpus[0] == {'article': 'A1000 road', 'link_text': 'A1000', 'is_same': 1} pai
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