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+ ---
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+ license: apache-2.0
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+ tags:
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+ - MRC
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+ - TyDiQA
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+ - Natural Questions
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+ - xlm-roberta-large
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+ language:
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+ - multilingual
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+ ---
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+ *Task*: MRC
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+
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+ # Model description
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+
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+ An XLM-RoBERTa Large reading comprehension model trained from the combination of TyDi and NQ datasets, starting from a fine-tuned [Tydi xlm-roberta-large](https://huggingface.co/PrimeQA/tydiqa-primary-task-xlm-roberta-large) model.
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+
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+ ## Intended uses & limitations
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+
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+ You can use the raw model for the reading comprehension task. Biases associated with the pre-existing language model, xlm-roberta-large, that we used may be present in our fine-tuned model.
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+
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+ ## Usage
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+
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+ You can use this model directly with the [PrimeQA](https://github.com/primeqa/primeqa) pipeline for reading comprehension [squad.ipynb](https://github.com/primeqa/primeqa/blob/main/notebooks/mrc/squad.ipynb).
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+
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+ ### BibTeX entry and citation info
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+
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+ ```bibtex
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+ @article{kwiatkowski-etal-2019-natural,
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+ title = "Natural Questions: A Benchmark for Question Answering Research",
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+ author = "Kwiatkowski, Tom and
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+ Palomaki, Jennimaria and
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+ Redfield, Olivia and
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+ Collins, Michael and
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+ Parikh, Ankur and
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+ Alberti, Chris and
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+ Epstein, Danielle and
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+ Polosukhin, Illia and
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+ Devlin, Jacob and
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+ Lee, Kenton and
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+ Toutanova, Kristina and
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+ Jones, Llion and
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+ Kelcey, Matthew and
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+ Chang, Ming-Wei and
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+ Dai, Andrew M. and
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+ Uszkoreit, Jakob and
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+ Le, Quoc and
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+ Petrov, Slav",
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+ journal = "Transactions of the Association for Computational Linguistics",
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+ volume = "7",
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+ year = "2019",
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+ address = "Cambridge, MA",
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+ publisher = "MIT Press",
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+ url = "https://aclanthology.org/Q19-1026",
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+ doi = "10.1162/tacl_a_00276",
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+ pages = "452--466",
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+ }
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+ ```
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+
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+ ```bibtex
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+ @article{clark-etal-2020-tydi,
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+ title = "{T}y{D}i {QA}: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages",
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+ author = "Clark, Jonathan H. and
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+ Choi, Eunsol and
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+ Collins, Michael and
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+ Garrette, Dan and
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+ Kwiatkowski, Tom and
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+ Nikolaev, Vitaly and
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+ Palomaki, Jennimaria",
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+ journal = "Transactions of the Association for Computational Linguistics",
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+ volume = "8",
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+ year = "2020",
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+ address = "Cambridge, MA",
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+ publisher = "MIT Press",
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+ url = "https://aclanthology.org/2020.tacl-1.30",
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+ doi = "10.1162/tacl_a_00317",
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+ pages = "454--470",
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+ }
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+ ```