[2025.06.10]train en tokenizer

test/test_tokenzier_compression_rate.py

@@ -0,0 +1,50 @@
+
+import json
+from transformers import AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("../weights/weights_tokenizer/hf_tokenizer_BBPE")
+
+total_characters = 0
+total_tokens = 0
+num_lines = 0
+
+def calculate_compression(text):
+    char_count = len(text)
+    tokens = tokenizer.encode(text, add_special_tokens=False)
+    token_count = len(tokens)
+    return char_count, token_count
+
+with open('../corpus/2020-40_zh_head_0001.jsonl', 'r', encoding='utf-8') as f:
+    for line in f:
+        try:
+            data = json.loads(line)
+            text = data.get('text', '') 
+            
+            if text:  
+                chars, tokens = calculate_compression(text)
+                total_characters += chars
+                total_tokens += tokens
+                num_lines += 1
+                
+        except json.JSONDecodeError:
+            print(f"JSON解析错误: {line}")
+        except KeyError:
+            print(f"行缺少'text'字段: {line}")
+
+if total_tokens > 0 and num_lines > 0:
+    overall_ratio = total_characters / total_tokens
+    avg_chars_per_line = total_characters / num_lines
+    avg_tokens_per_line = total_tokens / num_lines
+    
+    print("\n" + "="*50)
+    print(f"文件分析完成: ./corpus/test.jsonl")
+    print(f"处理行数: {num_lines}")
+    print(f"总字符数: {total_characters}")
+    print(f"总Token数: {total_tokens}")
+    print("-"*50)
+    print(f"整体压缩率: {overall_ratio:.2f} (字符/Token)")
+    print(f"平均每行字符数: {avg_chars_per_line:.1f}")
+    print(f"平均每行Token数: {avg_tokens_per_line:.1f}")
+    print("="*50)
+else:
+    print("未找到有效文本数据")