diff --git a/learnware/market/heterogeneous/organizer/hetero_map/README.md b/learnware/market/heterogeneous/organizer/hetero_map/README.md
index d2ab834..73c8687 100644
--- a/learnware/market/heterogeneous/organizer/hetero_map/README.md
+++ b/learnware/market/heterogeneous/organizer/hetero_map/README.md
@@ -7,8 +7,8 @@ This package contains code modified from the paper "TransTab: A Flexible Transfe
 ## Contents
 
 - `__init__.py`: The `__init__.py` file defines the `HeteroMap` class, which forms the main network structure of the market engine. It includes methods for handling heterogeneous tabular data, focusing on mapping data from diverse feature spaces into a unified "specification world".
-- `trainer.py`: The `trainer.py` file focuses on the unsupervised training process of the market engine. It defines the `TransTabCollatorForCL` class, which builds positive and negative samples from tabular vertical partitions for unsupervised learning.
-- `feature_extractor.py`: This file encompasses NLP-related functionalities crucial for processing and understanding table data features. It includes classes like `WordEmbedding`, which encodes tokens from column names into word embeddings, and `FeatureTokenizer`, which prepares tables for processing by the market engine.
+- `trainer.py`: The `trainer.py` file focuses on the unsupervised training process of the market engine. The `TransTabCollatorForCL` class is used for generating positive and negative samples from tabular vertical partitions for unsupervised learning.
+- `feature_extractor.py`: This file is utilized for the purpose of tokenizing feature descriptions and transforming them into word embeddings.
 
 ## Handling heterogeneous learnwares