Create README.md

README.md

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+---
+datasets:
+- cuad
+- theatticusproject/cuad
+language:
+- en
+pipeline_tag: question-answering
+---
+
+
+# BERT-large fine-tuned on CUAD
+
+This is a **BERT-large** model ([`bert-large-uncased-whole-word-masking`][2]) fine-tuned on the [**CUAD**][3] dataset 
+from [*CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review* (Hendrycks et al., 2021)][1], with the **BertforQuestionAnswering** model architecture.
+
+The questions ask for information often found in contracts; 
+the model would return the relevant text string and its starting index in the given document if the information exists.
+The CUAD dataset is in SQuAD 2.0 format.
+
+For details of the dataset and usage of the relevant training/testing scripts, check out the paper and their [Github repo][4]. 
+
+[1]: https://arxiv.org/abs/2103.06268
+[2]: https://huggingface.co/bert-large-uncased-whole-word-masking
+[3]: https://www.atticusprojectai.org/cuad
+[4]: https://github.com/TheAtticusProject/cuad