diff --git a/mp_cnn/README.md b/mp_cnn/README.md
index 4c4132c..cbc598a 100644
--- a/mp_cnn/README.md
+++ b/mp_cnn/README.md
@@ -61,6 +61,22 @@ python main.py mpcnn.trecqa.model --dataset trecqa --epochs 5 --regularization 0
 
 The paper results are reported in [Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks](https://dl.acm.org/citation.cfm?id=2983872).
 
+## WikiQA Dataset
+
+You also need `trec_eval` for this dataset, similar to TrecQA.
+
+Then, you can run:
+```
+python main.py mpcnn.wikiqa.model --epochs 10 --dataset wikiqa --batch-size 64 --lr 0.0004 --regularization 0.02
+```
+| Implementation and config        | map    | mrr    |
+| -------------------------------- |:------:|:------:|
+| Paper                            | 0.693  | 0.709  |
+| PyTorch using above config       | 0.693  | 0.7091 |
+
+The paper results are reported in [Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks](https://dl.acm.org/citation.cfm?id=2983872).
+
+
 These are not the optimal hyperparameters but they are decent. This README will be updated with more optimal hyperparameters and results in the future.
 
 To see all options available, use