Create README.md

README.md

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+---
+tags:
+- MRC
+- TyDiQA
+- xlm-roberta-large
+language:
+- multilingual
+---
+
+# Model description
+
+Reading comprehension, XLM-RoBERTa model for [TyDiQA Primary Tasks](https://arxiv.org/abs/2003.05002).
+
+- **Passage selection task (SelectP):** Given a list of the passages in the article, return either (a) the index of the passage that answers the question or (b) NULL if no such passage exists.
+
+- **Minimal answer span task (MinSpan):** Given the full text of an article, return one of (a) the start and end byte indices of the minimal span that completely answers the question; (b) YES or NO if the question requires a yes/no answer and we can draw a conclusion from the passage; (c) NULL if it is not possible to produce a minimal answer for this question.
+
+The model is initialized with  [xlm-roberta-large](https://huggingface.co/xlm-roberta-large/) and fine-tuned on the [TyDiQA train data](https://huggingface.co/datasets/tydiqa).
+
+## Intended uses & limitations
+
+You can use the raw model for the reading comprehension task.
+
+## Usage
+
+You can use this model directly with the [PrimeQA](https://github.com/primeqa/primeqa) pipeline for reading comprehension [tydiqa.ipynb](https://github.com/primeqa/primeqa/blob/main/notebooks/mrc/tydiqa.ipynb).
+
+### BibTeX entry and citation info
+
+```bibtex
+@article{tydiqa,
+title   = {TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages},
+author  = {Jonathan H. Clark and Eunsol Choi and Michael Collins and Dan Garrette and Tom Kwiatkowski and Vitaly Nikolaev and Jennimaria Palomaki}
+year    = {2020},
+journal = {Transactions of the Association for Computational Linguistics}
+}
+```