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Update README.md

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@@ -10,9 +10,9 @@ size_categories:
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  - 10K<n<100K
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  这是一个基于维基百科制作的轻量训练集,主要用于数学线性代数领域的英语命名实体识别,以及知识图谱构建。
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- 根据维基百科词条对链接进行串联选取,共有249句,无标点符号、数字,不区分字母大小写。
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  标签标注使用Doccano,有jsonl与txt版本。(jsonl可转换为json)
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  This is a lightweight training dataset created based on Wikipedia, primarily used for English Named Entity Recognition (NER) in the field of mathematics linear algebra, as well as knowledge graph construction.
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- Link selections were made based on Wikipedia entries, resulting in 249 sentences. The sentences contain no punctuation, numbers, and are case-insensitive.
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  Label annotations were done using Doccano, available in both JSONL and TXT formats. (JSONL can be converted to JSON).
 
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  - 10K<n<100K
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  ---
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  这是一个基于维基百科制作的轻量训练集,主要用于数学线性代数领域的英语命名实体识别,以及知识图谱构建。
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+ 根据维基百科词条对链接进行串联选取,共有234句,无标点符号、数字,不区分字母大小写。
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  标签标注使用Doccano,有jsonl与txt版本。(jsonl可转换为json)
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  This is a lightweight training dataset created based on Wikipedia, primarily used for English Named Entity Recognition (NER) in the field of mathematics linear algebra, as well as knowledge graph construction.
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+ Link selections were made based on Wikipedia entries, resulting in 234 sentences. The sentences contain no punctuation, numbers, and are case-insensitive.
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  Label annotations were done using Doccano, available in both JSONL and TXT formats. (JSONL can be converted to JSON).