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--- |
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pretty_name: '`wikir/it16k`' |
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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 `wikir/it16k` |
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The `wikir/it16k` 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/wikir#wikir/it16k). |
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# Data |
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This dataset provides: |
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- `docs` (documents, i.e., the corpus); count=503,012 |
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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/wikir_it16k', 'docs') |
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for record in docs: |
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record # {'doc_id': ..., 'text': ...} |
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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{Frej2020Wikir, |
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title={WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset}, |
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author={Jibril Frej and Didier Schwab and Jean-Pierre Chevallet}, |
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booktitle={LREC}, |
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year={2020} |
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} |
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@inproceedings{Frej2020MlWikir, |
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title={MLWIKIR: A Python Toolkit for Building Large-scale Wikipedia-based Information Retrieval Datasets in Chinese, English, French, Italian, Japanese, Spanish and More}, |
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author={Jibril Frej and Didier Schwab and Jean-Pierre Chevallet}, |
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booktitle={CIRCLE}, |
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year={2020} |
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} |
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``` |
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