Datasets:

Modalities:
Text
Formats:
json
Languages:
Serbian
Tags:
NER
Libraries:
Datasets
pandas
License:
procesaur commited on
Commit
8e50ada
·
verified ·
1 Parent(s): c7e05b8

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +35 -0
README.md CHANGED
@@ -1,3 +1,38 @@
1
  ---
2
  license: cc-by-sa-4.0
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: cc-by-sa-4.0
3
+ task_categories:
4
+ - token-classification
5
+ language:
6
+ - sr
7
+ pretty_name: SrpELTeC-gold-NER training dataset
8
+ size_categories:
9
+ - 100K<n<1M
10
  ---
11
+
12
+
13
+ Named Entity Recognition Training corpus for Serbian – The selection of 11 full novels and excerpts from 15 novels from Serbian literary corpus of novels written more than a century ago, have been automatically labelled with SrpNER system for Serbian in the first stage of the gold standard preparation. Contains 330.119 tokens, 7 classes: person, organization, location, event, work, demonym, role.
14
+
15
+ It is constituted of a single jsonl file that can be loaded via:
16
+
17
+ ```python
18
+ from datasets import load_dataset
19
+ dataset = load_dataset("jerteh/SrpELTeC-gold-NER")
20
+ ```
21
+
22
+ Preview:
23
+
24
+ ```python
25
+
26
+ ```
27
+
28
+ Citation:
29
+
30
+ ```bibtex
31
+
32
+ @inproceedings{frontini2020named,
33
+ title={Named entity recognition for distant reading in ELTeC},
34
+ author={Frontini, Francesca and Brando, Carmen and Byszuk, Joanna and Galleron, Ioana and Santos, Diana and Stankovi{\'c}, Ranka},
35
+ booktitle={CLARIN Annual Conference 2020},
36
+ year={2020}
37
+ }
38
+ ```