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--- |
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pretty_name: '`trec-cast/v1`' |
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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 `trec-cast/v1` |
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The `trec-cast/v1` 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/trec-cast#trec-cast/v1). |
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# Data |
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This dataset provides: |
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- `docs` (documents, i.e., the corpus); count=38,622,444 |
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This dataset is used by: [`trec-cast_v1_2020`](https://huggingface.co/datasets/irds/trec-cast_v1_2020), [`trec-cast_v1_2020_judged`](https://huggingface.co/datasets/irds/trec-cast_v1_2020_judged) |
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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/trec-cast_v1', '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{Dalton2019Cast, |
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title={CAsT 2019: The Conversational Assistance Track Overview}, |
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author={Jeffrey Dalton and Chenyan Xiong and Jamie Callan}, |
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booktitle={TREC}, |
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year={2019} |
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} |
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``` |
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