Update README.md

README.md

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 <h1>Transformer Encoder for Social Science (TESS)</h1>
 
-TESS is a deep neural network model intended for social science related NLP tasks. The model is developed by Haosen Ge, In Young Park, Xuancheng Qian, and Grace Zeng.
+TESS is a deep neural network model intended for social science related NLP tasks. The model is developed by Haosen Ge, In Young Park, Xuancheng Qian, and Grace Zeng.
+
+
+<h2>Training Corpus</h2>
+
+|     TEXT      |    SOURCE     |
+| ------------- | ------------- |
+| Preferential Trade Agreements  | ToTA  |
+| Congressional Bills  | BillSum  |
+|UNGA Resolutions | UN |
+|Firms' Annual Reports | Loughran and McDonald (2016)|
+| U.S. Court Opinions | Caselaw Access Project|
+
+The model is trained on 4 NVIDIA A100 GPUs for 120K steps.