Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
text
Languages:
English
Size:
10K - 100K
Tags:
math
License:
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,18 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
+
task_categories:
|
| 4 |
+
- token-classification
|
| 5 |
+
language:
|
| 6 |
+
- en
|
| 7 |
+
tags:
|
| 8 |
+
- math
|
| 9 |
+
size_categories:
|
| 10 |
+
- 10K<n<100K
|
| 11 |
---
|
| 12 |
+
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。
|
| 13 |
+
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。
|
| 14 |
+
标签标注使用Doccano,有jsonl与txt版本。(jsonl可转换为json)
|
| 15 |
+
|
| 16 |
+
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.
|
| 17 |
+
Link selections were made based on Wikipedia entries, resulting in 249 sentences. The sentences contain no punctuation, numbers, and are case-insensitive.
|
| 18 |
+
Label annotations were done using Doccano, available in both JSONL and TXT formats. (JSONL can be converted to JSON).
|