Update README to new API

README.md

@@ -39,24 +39,28 @@ pip install bert-pytorch
 ## Quickstart
 
 **NOTICE : Your corpus should be prepared with two sentences in one line with tab(\t) separator**
+
+### 0. Prepare your corpus
 ```
-Welcome to the \t the jungle \n
-I can stay \t here all night \n
+Welcome to the \t the jungle\n
+I can stay \t here all night\n
 ```
 
-### 1. Building vocab based on your corpus
-```shell
-bert-vocab -c data/corpus.small -o data/corpus.small.vocab
+or tokenized corpus (tokenization is not in package)
 ```
+Wel_ _come _to _the \t _the _jungle\n
+_I _can _stay \t _here _all _night\n
+```
+
 
-### 2. Building BERT train dataset with your corpus
+### 1. Building vocab based on your corpus
 ```shell
-bert-dataset -d data/corpus.small -v data/corpus.small.vocab -o data/dataset.small
+bert-vocab -c data/corpus.small -o data/vocab.small
 ```
 
-### 3. Train your own BERT model
+### 2. Train your own BERT model
 ```shell
-bert -d data/dataset.small -v data/corpus.small.vocab -o output/bert.model
+bert -c data/dataset.small -v data/vocab.small -o output/bert.model
 ```
 
 ## Language Model Pre-training