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