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--- |
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pretty_name: '`wapo/v2/trec-news-2018`' |
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viewer: false |
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source_datasets: [] |
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task_categories: |
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- text-retrieval |
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--- |
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# Dataset Card for `wapo/v2/trec-news-2018` |
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The `wapo/v2/trec-news-2018` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. |
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For more information about the dataset, see the [documentation](https://ir-datasets.com/wapo#wapo/v2/trec-news-2018). |
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# Data |
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This dataset provides: |
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- `queries` (i.e., topics); count=50 |
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- `qrels`: (relevance assessments); count=8,508 |
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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/wapo_v2_trec-news-2018', 'queries') |
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for record in queries: |
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record # {'query_id': ..., 'doc_id': ..., 'url': ...} |
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qrels = load_dataset('irds/wapo_v2_trec-news-2018', 'qrels') |
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for record in qrels: |
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record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...} |
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``` |
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Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the |
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data in 🤗 Dataset format. |
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## Citation Information |
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``` |
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@inproceedings{Soboroff2018News, |
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title={TREC 2018 News Track Overview}, |
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author={Ian Soboroff and Shudong Huang and Donna Harman}, |
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booktitle={TREC}, |
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year={2018} |
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} |
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``` |
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