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coastalcph
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tydi_xor_rc

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Question Answering

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 [XOR-AttriQA](https://github.com/google-research/google-research/tree/master/xor_attriqa) contains annotated attribution data for a sample of XORQA.
 This dataset is a combined and simplified version of the [Reading Comprehension data from XORQA](https://nlp.cs.washington.edu/xorqa/XORQA_site/data/tydi_xor_rc_yes_no_unanswerable.zip) and the [in-English data from XOR-AttriQA](https://storage.googleapis.com/gresearch/xor_attriqa/xor_attriqa.zip).
 ## Dataset Structure
 The dataset contains a train and a validation set, with 15445 and 3646 examples, respectively. Access them with

 [XOR-AttriQA](https://github.com/google-research/google-research/tree/master/xor_attriqa) contains annotated attribution data for a sample of XORQA.
 This dataset is a combined and simplified version of the [Reading Comprehension data from XORQA](https://nlp.cs.washington.edu/xorqa/XORQA_site/data/tydi_xor_rc_yes_no_unanswerable.zip) and the [in-English data from XOR-AttriQA](https://storage.googleapis.com/gresearch/xor_attriqa/xor_attriqa.zip).
+The code to create the dataset is available on [this Colab notebook](https://colab.research.google.com/drive/14s0FEag5FDr-jqjaVLzlU_0Lv0nXHWNg?usp=sharing).
 ## Dataset Structure
 The dataset contains a train and a validation set, with 15445 and 3646 examples, respectively. Access them with