Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
text
Languages:
English
Size:
10K - 100K
Tags:
math
License:
Hengzongshu
commited on
Commit
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Parent(s):
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license: mit
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---
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license: mit
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task_categories:
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- token-classification
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language:
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- en
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tags:
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- math
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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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