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--- |
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language: |
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- ar |
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- bn |
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- en |
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- fi |
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- id |
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- fi |
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- ja |
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- ko |
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- ru |
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- sw |
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- te |
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- th |
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multilinguality: |
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- multilingual |
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task_categories: |
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- text-retrieval |
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license: apache-2.0 |
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--- |
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# Dataset Summary |
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Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages. It is designed for monolingual retrieval, specifically to evaluate ranking with learned dense representations. |
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This dataset stores documents of Mr. TyDi. To access the queries and judgments, please refer to [castorini/mr-tydi](https://huggingface.co/datasets/castorini/mr-tydi). |
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# Dataset Structure |
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The only configuration here is the `language`. As all three folds (train, dev and test) share the same corpus, there is only one fold 'train' under each language, unlike [castorini/mr-tydi](https://huggingface.co/datasets/castorini/mr-tydi). |
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An example of document data entry looks as follows: |
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``` |
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{ |
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'docid': '25#0', |
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'title': 'Autism', |
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'text': 'Autism is a developmental disorder characterized by difficulties with social interaction and communication, ...' |
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} |
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``` |
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# Load Dataset |
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An example to load the dataset: |
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``` |
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language = 'english' |
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dataset = load_dataset('castorini/mr-tydi-corpus', language, 'train') |
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``` |
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# Citation Information |
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``` |
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@article{mrtydi, |
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title={{Mr. TyDi}: A Multi-lingual Benchmark for Dense Retrieval}, |
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author={Xinyu Zhang and Xueguang Ma and Peng Shi and Jimmy Lin}, |
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year={2021}, |
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journal={arXiv:2108.08787}, |
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} |
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``` |
