Update README.md

README.md

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 # Introduction
 
-**LongBench** is the first comprehensive dataset for multi-language, multi-task, and comprehensive assessment of **long text understanding** capabilities of large language models. In the context of the widespread attention to the multi-language capabilities of large models, LongBench includes different languages (Chinese and English) to provide a more comprehensive evaluation of the large models' multi-language capabilities in long texts. In addition, LongBench consists of twenty different tasks, covering key long-text application scenarios such as single-document QA, multi-document QA, summaries, few-shot learning, code completion, and synthesis tasks.
+**LongBench** is the first benchmark for bilingual, multitask, and comprehensive assessment of **long context understanding** capabilities of large language models. LongBench includes different languages (Chinese and English) to provide a more comprehensive evaluation of the large models' multilingual capabilities on long contexts. In addition, LongBench is composed of six major categories and twenty different tasks, covering key long-text application scenarios such as multi-document QA, single-document QA, summarization, Few-shot learning, code completion, and synthesis tasks.
 
-We are fully aware of the potentially high costs involved in the model evaluation process, especially in the context of long-text scenarios (such as manual annotation costs or API call costs). Therefore, we have adopted a fully automated evaluation method, aimed at measuring and evaluating the model's ability to understand long texts at the lowest cost and most effectively.
+We are fully aware of the potentially high costs involved in the model evaluation process, especially in the context of long context scenarios (such as manual annotation costs or API call costs). Therefore, we adopt a fully automated evaluation method, aimed at measuring and evaluating the model's ability to understand long contexts at the lowest cost.
 
-LongBench includes 13 English tasks, 5 Chinese tasks, and 2 code tasks, with the average length of most tasks ranging from 5k to 15k. From the main task categories, LongBench includes six types of tasks, namely multi-document QA, single-document QA, summaries, Few-shot learning, synthetic tasks, and code completion.
+LongBench includes 13 English tasks, 5 Chinese tasks, and 2 code tasks, with the average length of most tasks ranging from 5k to 15k.
 
 # How to use it?