Update README.md

README.md

@@ -12,23 +12,22 @@ The benchmark, originating from the research paper "WideSearch: Benchmarking Age
 
 ## Dataset Structure
 
-The dataset consists of these components: an English task file, a Chinese task file, and a directory containing the ground-truth answers.
+The dataset consists of these components: a task file, and a directory containing the ground-truth answers.
 
 ```
 
 /
-├── widesearch\_en.jsonl
-├── widesearch\_zh.jsonl
+├── widesearch.jsonl
 └── widesearch\_gold/
-├── ws\_001.csv
-├── ws\_002.csv
+├── ws\_en\_001.csv
+├── ws\_zh\_001.csv
 └── ...
 
 ```
 
 ### Data Instances
 
-`widesearch_en.jsonl` and `widesearch_zh.jsonl` are JSON Lines files, where each line represents a single task.
+`widesearch.jsonl` is JSON Lines file, where each line represents a single task.
 
 **Example:**
 
@@ -56,7 +55,7 @@ The dataset consists of these components: an English task file, a Chinese task f
 
 ```json
 {
-    "instance_id": "ws_001",
+    "instance_id": "ws_zh_001",
     "query": "我要做电影研究，需要你列出来2020年-2024年每年中国、美国本国票房前五的电影，表头需要包括年份、国家（如中国、美国）、电影名、导演、本国整体累计票房收益（不局限于当年，以亿为单位，保留到小数点后一位，例如7.9亿元，需要带上各国货币单位，中国电影以亿元为单位，美国电影为亿美元为单位）、电影类型。请以Markdown表格的格式输出整理后的数据，全部输出采用中文。请注意，对于当年12月末上映的电影、大部分票房收益落在下一年的，视为下一年的电影。请以Markdown表格的格式输出整理后的数据。\n表格中的列名依次为：\n年份、国家、电影名、导演、本国累计票房收益、电影类型\n\n格式为```markdown\n{数据内容}\n```。",
     "evaluation": {
         "unique_columns": ["国家", "电影名"],