Update README.md

README.md

@@ -24,12 +24,11 @@ except that, you have to learn about how to run it on your dataset
   - then use "generate_vocab_normalway" in data_process.py to transform list file to "sentences, id_sentence, idx2word, word2idx, vocab_size"
   - Last but not least, use "creat_batch" in data_process.py to transform "sentences, id_sentence, idx2word, word2idx, vocab_size" to a batch.
   - finally using dataloder in pytorch to load data.
+
 for example:
 
-    #json2list=general_transform_text2list("data/demo.txt",type="txt")
     json2list=general_transform_text2list("data/chinese-poetry/chuci/chuci.json",type="json",args=['content'])
     data=json2list.getdata()
-    # transform list to token
     list2token=generate_vocab_normalway(data,map_dir="words_info.json")
     sentences,token_list,idx2word,word2idx,vocab_size=list2token.transform()
     batch = creat_batch(batch_size,max_pred,maxlen,vocab_size,word2idx,token_list,sentences)