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--- |
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pretty_name: '`istella22`' |
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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 `istella22` |
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The `istella22` 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/istella22#istella22). |
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# Data |
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This dataset provides: |
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- `docs` (documents, i.e., the corpus); count=8,421,456 |
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This dataset is used by: [`istella22_test`](https://huggingface.co/datasets/irds/istella22_test), [`istella22_test_fold1`](https://huggingface.co/datasets/irds/istella22_test_fold1), [`istella22_test_fold2`](https://huggingface.co/datasets/irds/istella22_test_fold2), [`istella22_test_fold3`](https://huggingface.co/datasets/irds/istella22_test_fold3), [`istella22_test_fold4`](https://huggingface.co/datasets/irds/istella22_test_fold4), [`istella22_test_fold5`](https://huggingface.co/datasets/irds/istella22_test_fold5) |
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## Usage |
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```python |
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from datasets import load_dataset |
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docs = load_dataset('irds/istella22', 'docs') |
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for record in docs: |
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record # {'doc_id': ..., 'title': ..., 'url': ..., 'text': ..., 'extra_text': ..., 'lang': ..., 'lang_pct': ...} |
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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{Dato2022Istella, |
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title={The Istella22 Dataset: Bridging Traditional and Neural Learning to Rank Evaluation}, |
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author={Domenico Dato, Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto}, |
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booktitle={Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval}, |
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year={2022} |
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} |
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``` |
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