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--- |
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pretty_name: '`antique/train`' |
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viewer: false |
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source_datasets: ['irds/antique'] |
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task_categories: |
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- text-retrieval |
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--- |
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# Dataset Card for `antique/train` |
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The `antique/train` IR dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. |
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Find more information about the dataset [here](https://ir-datasets.com/antique#antique/train). |
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This dataset provides: |
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- `queries` (i.e., topics) |
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- `qrels`: (relevance assessments) |
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- For `docs`, use [`irds/antique`](https://huggingface.co./datasets/irds/antique) |
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## Usage |
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```python |
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from datasets import load_dataset |
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queries = load_dataset('irds/antique_train', 'queries') |
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for record in queries: |
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record # {'queries': Ellipsis, 'qrels': Ellipsis} |
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qrels = load_dataset('irds/antique_train', 'qrels') |
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for record in qrels: |
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record # {'queries': Ellipsis, 'qrels': Ellipsis} |
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``` |
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## Citation Information |
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``` |
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@inproceedings{Hashemi2020Antique, |
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title={ANTIQUE: A Non-Factoid Question Answering Benchmark}, |
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author={Helia Hashemi and Mohammad Aliannejadi and Hamed Zamani and Bruce Croft}, |
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booktitle={ECIR}, |
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year={2020} |
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} |
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``` |
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