diff --git a/docs/en_US/NAS/TextNAS.md b/docs/en_US/NAS/TextNAS.md
new file mode 100644
index 0000000000..7c455534ec
--- /dev/null
+++ b/docs/en_US/NAS/TextNAS.md
@@ -0,0 +1,80 @@
+# TextNAS
+
+## Introduction
+
+This is the implementation of the TextNAS algorithm proposed in the paper [TextNAS: A Neural Architecture Search Space tailored for Text Representation](https://arxiv.org/pdf/1912.10729.pdf). TextNAS is a neural architecture search algorithm tailored for text representation, more specifically, TextNAS is based on a novel search space consists of operators widely adopted to solve various NLP tasks, and TextNAS also supports multi-path ensemble within a single network to balance the width and depth of the architecture. 
+
+The search space of TextNAS contains: 
+
+    * 1-D convolutional operator with filter size 1, 3, 5, 7 
+    * recurrent operator (bi-directional GRU) 
+    * self-attention operator
+    * pooling operator (max/average)
+
+Following the ENAS algorithm, TextNAS also utilizes parameter sharing to accelerate the search speed and adopts a reinforcement-learning controller for the architecture sampling and generation. Please refer to the paper for more details of TextNAS.
+
+## Preparation
+
+Prepare the word vectors and SST dataset, and organize them in data directory as shown below:
+
+```
+textnas
+├── data
+│   ├── sst
+│   │   └── trees
+│   │       ├── dev.txt
+│   │       ├── test.txt
+│   │       └── train.txt
+│   └── glove.840B.300d.txt
+├── dataloader.py
+├── model.py
+├── ops.py
+├── README.md
+├── search.py
+└── utils.py
+```
+
+The following link might be helpful for finding and downloading the corresponding dataset:
+
+* [GloVe: Global Vectors for Word Representation](https://nlp.stanford.edu/projects/glove/)
+  * [glove.840B.300d.txt](http://nlp.stanford.edu/data/glove.840B.300d.zip)
+* [Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank](https://nlp.stanford.edu/sentiment/)
+  * [trainDevTestTrees_PTB.zip](https://nlp.stanford.edu/sentiment/trainDevTestTrees_PTB.zip)
+
+## Examples
+
+### Search Space
+
+[Example code](https://github.com/microsoft/nni/tree/master/examples/nas/textnas)
+
+```bash
+# In case NNI code is not cloned. If the code is cloned already, ignore this line and enter code folder.
+git clone https://github.com/Microsoft/nni.git
+
+# search the best architecture
+cd examples/nas/textnas
+
+# view more options for search
+python3 search.py -h
+```
+
+After each search epoch, 10 sampled architectures will be tested directly. Their performances are expected to be 40% - 42% after 10 epochs.
+
+By default, 20 sampled architectures will be exported into `checkpoints` directory for next step.
+
+### retrain
+
+```bash
+# In case NNI code is not cloned. If the code is cloned already, ignore this line and enter code folder.
+git clone https://github.com/Microsoft/nni.git
+
+# search the best architecture
+cd examples/nas/textnas
+
+# default to retrain on sst-2
+sh run_retrain.sh
+```
+
+## Reference
+
+TextNAS directly uses EnasTrainer, please refer to [ENAS](./ENAS.md) for the trainer APIs.
diff --git a/docs/en_US/nas.rst b/docs/en_US/nas.rst
index 0a56caa742..f5a06c5c9a 100644
--- a/docs/en_US/nas.rst
+++ b/docs/en_US/nas.rst
@@ -26,5 +26,6 @@ For details, please refer to the following tutorials:
     SPOS <NAS/SPOS>
     CDARTS <NAS/CDARTS>
     ProxylessNAS <NAS/Proxylessnas>
+    TextNAS <NAS/TextNAS>
     Customize a NAS Algorithm <NAS/Advanced>
     API Reference <NAS/NasReference>
diff --git a/examples/nas/textnas/README.md b/examples/nas/textnas/README.md
index fb261ad04d..f8ebe24afd 100644
--- a/examples/nas/textnas/README.md
+++ b/examples/nas/textnas/README.md
@@ -42,4 +42,8 @@ By default, 20 sampled architectures will be exported into `checkpoints` directo
 
 ## Retrain
 
-Not ready.
+```
+sh run_retrain.sh
+```
+
+By default, the script will retrain the architecture provided by the author on the SST-2 dataset.
diff --git a/examples/nas/textnas/arc/final_arc.json b/examples/nas/textnas/arc/final_arc.json
new file mode 100644
index 0000000000..c1e12c2d4b
--- /dev/null
+++ b/examples/nas/textnas/arc/final_arc.json
@@ -0,0 +1,212 @@
+{
+  "LayerChoice1": [
+    false, false, false, false, false, true, false, false
+  ],
+  "InputChoice2": [
+    true
+  ],
+  "LayerChoice3": [
+    false, false, false, false, false, false, false, true
+  ],
+  "InputChoice4": [
+    false
+  ],
+  "InputChoice5": [
+    true, false
+  ],
+  "LayerChoice6": [
+    false, false, false, true, false, false, false, false
+  ],
+  "InputChoice7": [
+    false, false
+  ],
+  "InputChoice8": [
+    false, false, true
+  ],
+  "LayerChoice9": [
+    false, false, false, false, false, false, true, false
+  ],
+  "InputChoice10": [
+    false, true, true
+  ],
+  "InputChoice11": [
+    false, false, true, false
+  ],
+  "LayerChoice12": [
+    false, true, false, false, false, false, false, false
+  ],
+  "InputChoice13": [
+    false, true, false, false
+  ],
+  "InputChoice14": [
+    false, false, false, false, true
+  ],
+  "LayerChoice15": [
+    false, true, false, false, false, false, false, false
+  ],
+  "InputChoice16": [
+    false, false, true, false, true
+  ],
+  "InputChoice17": [
+    false, false, false, false, true
+  ],
+  "LayerChoice18": [
+    true, false, false, false, false, false, false, false
+  ],
+  "InputChoice19": [
+    false, false, true, true, true, true
+  ],
+  "InputChoice20": [
+    true, false, false, false, false
+  ],
+  "LayerChoice21": [
+    false, false, false, false, false, false, true, false
+  ],
+  "InputChoice22": [
+    false, true, true, false, false, false, false
+  ],
+  "InputChoice23": [
+    false, true, false, false, false
+  ],
+  "LayerChoice24": [
+    false, false, false, false, false, true, false, false
+  ],
+  "InputChoice25": [
+    false, true, false, true, true, false, true, true
+  ],
+  "InputChoice26": [
+    false, false, true, false, false
+  ],
+  "LayerChoice27": [
+    false, false, false, false, false, true, false, false
+  ],
+  "InputChoice28": [
+    false, false, false, false, false, true, false, true, true
+  ],
+  "InputChoice29": [
+    true, false, false, false, false
+  ],
+  "LayerChoice30": [
+    false, false, false, false, false, false, false, true
+  ],
+  "InputChoice31": [
+    true, true, false, false, true, false, false, true, true, false
+  ],
+  "InputChoice32": [
+    true, false, false, false, false
+  ],
+  "LayerChoice33": [
+    false, false, false, false, true, false, false, false
+  ],
+  "InputChoice34": [
+    true, false, false, true, true, true, true, false, false, false, false
+  ],
+  "InputChoice35": [
+    false, false, false, true, false
+  ],
+  "LayerChoice36": [
+    false, true, false, false, false, false, false, false
+  ],
+  "InputChoice37": [
+    true, true, false, true, false, true, false, false, true, false, false, false
+  ],
+  "InputChoice38": [
+    false, false, false, true, false
+  ],
+  "LayerChoice39": [
+    false, false, true, false, false, false, false, false
+  ],
+  "InputChoice40": [
+    true, true, false, false, false, false, true, false, false, true, true, false, true
+  ],
+  "InputChoice41": [
+    false, false, false, true, false
+  ],
+  "LayerChoice42": [
+    true, false, false, false, false, false, false, false
+  ],
+  "InputChoice43": [
+    false, false, true, false, false, false, true, true, true, false, true, true, false, false
+  ],
+  "InputChoice44": [
+    false, false, false, false, true
+  ],
+  "LayerChoice45": [
+    false, false, false, true, false, false, false, false
+  ],
+  "InputChoice46": [
+    true, false, false, false, false, false, true, false, false, false, true, true, false, false, true
+  ],
+  "InputChoice47": [
+    false, false, false, true, false
+  ],
+  "LayerChoice48": [
+    false, false, true, false, false, false, false, false
+  ],
+  "InputChoice49": [
+    false, false, false, false, false, false, false, false, false, true, true, false, true, false, true, false
+  ],
+  "InputChoice50": [
+    false, false, false, false, true
+  ],
+  "LayerChoice51": [
+    false, false, false, false, true, false, false, false
+  ],
+  "InputChoice52": [
+    false, true, true, true, true, false, false, true, false, true, false, false, false, false, true, false, false
+  ],
+  "InputChoice53": [
+    false, false, true, false, false
+  ],
+  "LayerChoice54": [
+    false, false, false, true, false, false, false, false
+  ],
+  "InputChoice55": [
+    false, false, false, false, false, true, false, false, false, false, false, false, false, true, true, true, false, true
+  ],
+  "InputChoice56": [
+    false, false, true, false, false
+  ],
+  "LayerChoice57": [
+    false, false, false, true, false, false, false, false
+  ],
+  "InputChoice58": [
+    false, false, false, true, false, false, false, false, false, false, true, false, false, false, true, false, false, false, false
+  ],
+  "InputChoice59": [
+    false, true, false, false, false
+  ],
+  "LayerChoice60": [
+    false, false, false, false, false, true, false, false
+  ],
+  "InputChoice61": [
+    true, true, false, false, false, false, false, false, false, false, true, true, false, false, true, true, true, true, false, false
+  ],
+  "InputChoice62": [
+    true, false, false, false, false
+  ],
+  "LayerChoice63": [
+    false, false, false, false, false, false, false, true
+  ],
+  "InputChoice64": [
+    false, true, true, true, false, false, false, true, false, true, true, true, true, false, true, false, false, false, false, false, false
+  ],
+  "InputChoice65": [
+    false, false, false, false, true
+  ],
+  "LayerChoice66": [
+    false, false, false, false, false, false, false, true
+  ],
+  "InputChoice67": [
+    false, false, true, true, true, true, false, true, false, true, true, false, false, false, false, true, false, false, false, false, false, true
+  ],
+  "InputChoice68": [
+    false, false, false, true, false
+  ],
+  "LayerChoice69": [
+    false, false, false, true, false, false, false, false
+  ],
+  "InputChoice70": [
+    true, false, false, true, false, false, false, true, false, false, false, false, true, false, false, false, true, false, false, false, false, false, false
+  ]
+}
diff --git a/examples/nas/textnas/run_retrain.sh b/examples/nas/textnas/run_retrain.sh
index 5c8ea66ae9..1f02121e31 100755
--- a/examples/nas/textnas/run_retrain.sh
+++ b/examples/nas/textnas/run_retrain.sh
@@ -4,7 +4,7 @@
 export PYTHONPATH="$(pwd)"
 export CUDA_VISIBLE_DEVICES=0
 
-python -u retrain.py \
+python3 -u retrain.py \
   --train_ratio=1.0 \
   --valid_ratio=1.0 \
   --min_count=1 \
@@ -36,6 +36,6 @@ python -u retrain.py \
   --child_lr_T_0=10 \
   --child_lr_T_mul=2 \
   --multi_path=True \
-  --child_fixed_arc="./checkpoints/architecture_00.json" \
+  --child_fixed_arc="./arc/final_arc.json" \
   --fixed_seed=True \
   "$@"