[verify] sstdataloader add sst2

[add] readme

reproduction/text_classification/README.md

@@ -0,0 +1,22 @@
+# text_classification任务模型复现
+这里使用fastNLP复现以下模型：
+char_cnn :论文链接[Character-level Convolutional Networks for Text Classification](https://arxiv.org/pdf/1509.01626v3.pdf)
+dpcnn:论文链接[Deep Pyramid Convolutional Neural Networks for TextCategorization](https://ai.tencent.com/ailab/media/publications/ACL3-Brady.pdf)
+HAN:论文链接[Hierarchical Attention Networks for Document Classification](https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf)
+#待补充
+awd_lstm:
+lstm_self_attention(BCN?):
+awd-sltm:
+
+# 数据集及复现结果汇总
+
+使用fastNLP复现的结果vs论文汇报结果(/前为fastNLP实现，后面为论文报道,-表示论文没有在该数据集上列出结果)
+
+model name | yelp_p | sst-2|IMDB| 
+:---: | :---: | :---: | :---: 
+char_cnn | 93.80/95.12 | - |- |
+dpcnn | 95.50/97.36 | - |- |
+HAN |- | - |-|
+BCN| - |- |-|
+awd-lstm| - |- |-|
+

reproduction/text_classification/data/sstLoader.py

@@ -5,7 +5,8 @@ from fastNLP.core.vocabulary import VocabularyOption, Vocabulary
 from fastNLP import DataSet
 from fastNLP import Instance
 from fastNLP.io.embed_loader import EmbeddingOption, EmbedLoader
-
+import csv
+from typing import Union, Dict
 
 class SSTLoader(DataSetLoader):
     URL = 'https://nlp.stanford.edu/sentiment/trainDevTestTrees_PTB.zip'