diff --git a/convlab/nlu/README.md b/convlab/nlu/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..eb332bdf3f906c42a7cfd465205a386e8a702609
--- /dev/null
+++ b/convlab/nlu/README.md
@@ -0,0 +1,70 @@
+## NLU benchmark for BERTNLU and MILU on multiwoz21, tm1, tm2, tm3
+
+To illustrate that it is easy to use the model for any dataset that in our unified format, we report the performance on several datasets in our unified format. We follow `README.md` and config files in `unified_datasets/` to generate `predictions.json`, then evaluate it using `../evaluate_unified_datasets.py`. Note that we use almost the same hyper-parameters for different datasets, which may not be optimal.
+
+<table>
+<thead>
+  <tr>
+    <th></th>
+    <th colspan=2>MultiWOZ 2.1</th>
+    <th colspan=2>Taskmaster-1</th>
+    <th colspan=2>Taskmaster-2</th>
+    <th colspan=2>Taskmaster-3</th>
+  </tr>
+</thead>
+<thead>
+  <tr>
+    <th>Model</th>
+    <th>Acc</th><th>F1</th>
+    <th>Acc</th><th>F1</th>
+    <th>Acc</th><th>F1</th>
+    <th>Acc</th><th>F1</th>
+  </tr>
+</thead>
+<tbody>
+  <tr>
+    <td>T5-small</td>
+    <td>77.8</td><td>86.5</td>
+    <td>74.0</td><td>52.5</td>
+    <td>80.0</td><td>71.4</td>
+    <td>87.2</td><td>83.1</td>
+  </tr>
+  <tr>
+    <td>T5-small (context=3)</td>
+    <td>82.0</td><td>90.3</td>
+    <td>76.2</td><td>56.2</td>
+    <td>82.4</td><td>74.3</td>
+    <td>89.0</td><td>85.1</td>
+  </tr>
+  <tr>
+    <td>BERTNLU</td>
+    <td>74.5</td><td>85.9</td>
+    <td>72.8</td><td>50.6</td>
+    <td>79.2</td><td>70.6</td>
+    <td>86.1</td><td>81.9</td>
+  </tr>
+  <tr>
+    <td>BERTNLU (context=3)</td>
+    <td>80.6</td><td>90.3</td>
+    <td>74.2</td><td>52.7</td>
+    <td>80.9</td><td>73.3</td>
+    <td>87.8</td><td>83.8</td>
+  </tr>
+  <tr>
+    <td>MILU</td>
+    <td>72.9</td><td>85.2</td>
+    <td>72.9</td><td>49.2</td>
+    <td>79.1</td><td>68.7</td>
+    <td>85.4</td><td>80.3</td>
+  </tr>
+  <tr>
+    <td>MILU (context=3)</td>
+    <td>76.6</td><td>87.9</td>
+    <td>72.4</td><td>48.5</td>
+    <td>78.9</td><td>68.4</td>
+    <td>85.1</td><td>80.1</td>
+  </tr>
+</tbody>
+
+- Acc: whether all dialogue acts of an utterance are correctly predicted
+- F1: F1 measure of the dialogue act predictions over the corpus.
\ No newline at end of file