Update README.md

README.md

@@ -10,7 +10,9 @@ size_categories:
 - 1M<n<10M
 ---
 # MedArk-KI-1464K
-MedArk-KI is an integrated large-scale, high-quality Chinese SFT dataset, designed for medical knowledge injection into LLMs.
+MedArk-KI is an integrated large-scale, high-quality Chinese SFT dataset, designed for medical knowledge injection into LLMs. 
+
+Each sample is reviewed by the free LLM (ERNIE-Speed) using our proposed Quality Evaluation Algorithm.
 
 MedArk-KI involving in two types of medical knowledge: Traditional Chinese Medicine (TCM) and Western Medicine(WM). It consists of 4 subsets as shown in the tabel: 
 
@@ -22,14 +24,14 @@ MedArk-KI involving in two types of medical knowledge: Traditional Chinese Medic
 | MB   | 1,4543  |ERNIE-Speed|ERNIE-Speed  |  WM  | Books                   | Latex           |
 |Totol | 146,4484|           |             |      |                         |                 |
 
-# 1.DX-xxK
+# 1.DX
 
 A total of 5,3554 high-quality Q&A pairs were collected from the DingXiang website, 丁香医生 (https://dxy.com/diseases), and underwent rigorous data cleaning. 
 Each answer was authored by a doctor and reviewed by another doctor, ensuring that all information is accurate and reliable. 
 These Q&A pairs encompass 8 key areas of medical knowledge across 3412 diseases in 31 departments: disease introduction, symptoms, causes, diagnosis, treatment, lifestyle, prevention, and consultation guidance.
 
 
-# 2.HT-xxk
+# 2.HT
 
 
 https://huggingface.co/datasets/FreedomIntelligence/HuatuoGPT2-Pretraining-Instruction
@@ -38,13 +40,13 @@ Medical_Web_Corpus_cn
 Medical_Encyclopedia_cn
 Medical_Books_cn
 
-# 3.TCM-xxk
+# 3.TCM
 
 https://www.dayi.org.cn/
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/672af27475d62cdf4e85815a/5UBlT5Aw4eZW88_QXl2UC.png)
 
 
-# 4.MB-xxk
+# 4.MB
 
 https://github.com/scienceasdf/medical-books