Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
text
Languages:
English
Size:
10K - 100K
Tags:
math
License:
license: mit | |
task_categories: | |
- token-classification | |
language: | |
- en | |
tags: | |
- math | |
size_categories: | |
- 10K<n<100K | |
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。 | |
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。 | |
标签标注使用Doccano,有jsonl,dataset与txt版本。(jsonl可转换为json) | |
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. | |
Link selections were made based on Wikipedia entries, resulting in 234 sentences. The sentences contain no punctuation, numbers, and are case-insensitive. | |
Label annotations were done using Doccano, available in both JSONL DATASET and TXT formats. (JSONL can be converted to JSON). |