Datasets:
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README.md
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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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# Dataset Structure
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The only configuration here is the `language`,
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For each language, there are three splits: `train`, `dev`, and `test`.
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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 the queries, judgements, and example training data of Mr. TyDi. To access the corpus, please refer to [castorini/mr-tydi-corpus](https://huggingface.co/datasets/castorini/mr-tydi-corpus).
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# Dataset Structure
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The only configuration here is the `language`,
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For each language, there are three splits: `train`, `dev`, and `test`.
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