Dev

README.md

@@ -15,20 +15,18 @@ data is one of the basic elements in the development of artificial intelligence.
 
 FlagData supports the following features:
 
-* it can be used with simple configuration after installation, and the custom feature can be realized with low code volume.
+* Realize the high-quality content extraction of various original format data, and greatly reduce the processing cost.
 
-* High-quality structured data can be quickly cleaned from the original html/text/pdf/epub, and sensitive information can be filtered to avoid the risk of privacy disclosure.
+* Provide the function of fine-tuning data perspective for large models.
 
-* Support massive text data de-duplication, and provide detailed multi-machine distributed data processing system deployment documents.
-
-* support data quality assessment and common data analysis.
+* One-stop efficient distributed data processing function.
 
 The complete pipeline process and features such as
 ![pipeline](pipeline.png)
 
 ##  News
 
-- [Dec 15st, 2023] FlagData v1.1.0 has been upgraded
+- [Dec 31st, 2023] FlagData v2.0.0 has been upgraded
 - [Jan 31st, 2023] FlagData v1.0.0 is online!
 
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README_zh.md

@@ -15,20 +15,18 @@
 
 FlagData支持以下特性：
 
-* 安装后简单配置即可上手使用，低代码量实现自定义功能。
+* 实现多种原始格式数据的高质量内容提取，极大降低处理成本
 
-* 可从原始html/text/pdf/epub 快速清洗得到高质量结构化数据，注重敏感信息滤除，避免隐私泄露风险。
+* 提供大模型微调数据透视功能
 
-* 支持海量文本数据去重，并提供详细的多机分布式数据处理系统部署文档。
-
-* 支持数据质量评估与常见数据分析。
+* 一站式高效分布式数据处理功能
 
 完整的pipeline流程以及功能如下图：
 ![pipeline](pipeline_zh.png)
 
 ## 动态
 
-- [Dec 15st, 2023] FlagData v1.1.0 升级
+- [Dec 31st, 2023] FlagData v2.0.0 升级
 - [Jan 31st, 2023] FlagData v1.0.0 上线了!
 
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