update

README.md

@@ -69,7 +69,6 @@ All data files are in JSONL format (one JSON object per line).
 ```json
 {
   "sha256": "SHA256 hash of the file",
-  "origin_path": "Original path of the PDF file",
   "doi": "Digital Object Identifier",
   "title": "Paper title",
   "author": "Author name",
@@ -84,7 +83,6 @@ All data files are in JSONL format (one JSON object per line).
 ```json
 {
   "sha256": "SHA256 hash of the file",
-  "origin_path": "Original path of the PDF file",
   "isbn": "International Standard Book Number",
   "title": "Book title",
   "author": "Author name",
@@ -214,7 +212,6 @@ print("Overall Accuracy:", accuracy)
 The script generates an Excel file containing detailed sample-by-sample analysis:
 
 - `sha256`: File identifier
-- `origin_path`: Original file path
 - For each field (e.g., `title`):
   - `llm_title`: LLM extraction result
   - `benchmark_title`: Benchmark data
@@ -282,4 +279,6 @@ If you have questions or suggestions, please contact us through Issues.
 
 ---
 
-**Last Updated**: December 26, 2025
+**Last Updated**: December 26, 2025
+
+

README_ZH.md

@@ -57,7 +57,6 @@ data/
 ```json
 {
   "sha256": "文件的 SHA256 哈希值",
-  "origin_path": "PDF 文件的原始路径",
   "doi": "数字对象标识符",
   "title": "论文标题",
   "author": "作者姓名",
@@ -72,7 +71,6 @@ data/
 ```json
 {
   "sha256": "文件的 SHA256 哈希值",
-  "origin_path": "PDF 文件的原始路径",
   "isbn": "国际标准书号",
   "title": "书名",
   "author": "作者姓名",
@@ -202,7 +200,6 @@ print("总体准确率：", accuracy)
 脚本会生成一个 Excel 文件，包含详细的逐样本分析：
 
 - `sha256`：文件标识
-- `origin_path`：原始文件路径
 - 对于每个字段（如 `title`）：
   - `llm_title`：LLM 提取的结果
   - `benchmark_title`：基准数据

compare.py

@@ -85,8 +85,7 @@ def write_similarity_data_to_excel(key_list, data_dict, output_file="similarity_
 
     for sha256, data in data_dict.items():
         row = {
-            'sha256': sha256,
-            'origin_path': data['benchmark_dict'].get('origin_path')
+            'sha256': sha256
         }
 
         for field in key_list:
@@ -102,7 +101,7 @@ def write_similarity_data_to_excel(key_list, data_dict, output_file="similarity_
     df = pd.DataFrame(rows)
 
     # 定义列的顺序（可选，让Excel更易读）
-    column_order = ['sha256', 'origin_path']
+    column_order = ['sha256']
     for field in key_list:
         column_order.extend([f'llm_{field}', f'benchmark_{field}', f'similarity_{field}'])