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--- |
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license: afl-3.0 |
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language: |
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- en |
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tags: |
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- entity disambiguation |
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- disambiguation |
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- ned |
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- GENRE |
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- BLINK |
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pretty_name: Entity Disambiguation |
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task_categories: |
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- question-answering |
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--- |
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Entity Disambiguation datasets as provided in the [GENRE](https://github.com/facebookresearch/GENRE/blob/main/scripts_genre/download_all_datasets.sh) repo. The dataset can be used to train and evaluate entity disambiguators. |
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The datasets can be imported easily as follows: |
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``` |
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from datasets import load_dataset |
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ds = load_dataset("boragokbakan/entity_disambiguation", "aida") |
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``` |
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Available dataset names are: |
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- `blink` |
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- `ace2004` |
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- `aida` |
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- `aquaint` |
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- `blink` |
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- `clueweb` |
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- `msnbc` |
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- `wiki` |
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**Note:** As the BLINK training set is very large in size (~10GB), it is advised to set `streaming=True` when calling `load_dataset`. |
