添加多个类别关键词,优化数据处理逻辑,支持从arXiv提取和筛选论文数据
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01-pre-multi.py
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91
01-pre-multi.py
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import json
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# 要保留的类别关键词
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# target_categories = {
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# "astro-ph", "cond-mat.mes-hall", "cond-mat.mtrl-sci",
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# "cs.CL", "cs.CV", "cs.LG",
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# "gr-qc", "hep-ph", "hep-th", "quant-ph"
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# }
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target_categories = {
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'quant-ph',
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'physics.chem-ph',
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'physics.atom-ph',
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'cond-mat.soft',
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'cs.RO',
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'cs.CL',
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'cs.SE',
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'cs.IR',
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'hep-th',
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'hep-ph',
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'physics.optics',
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'cs.AI',
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'cs.CV',
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'nucl-th',
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'astro-ph',
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'math.PR',
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'cs.OS',
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'eess.SP',
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'math.OC',
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'math.DS',
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'math.DG',
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'math.MP',
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'cs.MM',
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'stat.ME',
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'math.CO',
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'cs.NE'
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}
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input_path = "arxiv-metadata-oai-snapshot.json"#原数据路径
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output_path = "arxiv-metadata-oai-snapshot-multi.json" # 使用 JSON Lines 格式输出路径
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count = 0
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with open(input_path, 'r') as infile, open(output_path, 'w') as outfile:
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for line in infile:
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try:
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record = json.loads(line)
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record_cats = record.get("categories", "").split()
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# 获取更新日期和摘要
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update_date = record.get("update_date", "")
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abstract = record.get("abstract", "")
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# 多类别的记录
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if len(record_cats) > 1:
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# 检查是否record_cats只有一个类别在目标类别中
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# 检查record_cats中是否只有一个类别在目标类别中
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target_count = sum(1 for cat in record_cats if cat in target_categories)
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has_single_target_category = target_count == 1
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if not has_single_target_category:
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continue
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# 检查是否包含无需过滤的类别
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no_filter_categories = {'cs.OS'}
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has_no_filter_category = any(cat in no_filter_categories for cat in record_cats)
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# 如果包含无需过滤的类别,直接写入
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if has_no_filter_category:
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outfile.write(json.dumps(record) + '\n')
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count += 1
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else:
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# 其他需要满足过滤条件
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if len(abstract) >= 300 and len(abstract) <= 1024:
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if update_date and int(update_date[:4]) >= 2016:
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outfile.write(json.dumps(record) + '\n')
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count += 1
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except json.JSONDecodeError:
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continue # 忽略格式错误的行
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print(f"筛选完成,共保存了 {count} 条记录到 {output_path}")
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