Datasets:
cjvt
/

Modalities:
Text
Languages:
Slovenian
Libraries:
Datasets
License:
janes_preklop / README.md
Matej Klemen
Fix merge conflicts
61cf4cf
---
license: cc-by-sa-4.0
dataset_info:
features:
- name: id
dtype: string
- name: words
sequence: string
- name: language
sequence: string
splits:
- name: train
num_bytes: 410822
num_examples: 1104
download_size: 623816
dataset_size: 412672
task_categories:
- token-classification
language:
- sl
tags:
- tweets
- code-mixing
- code-switching
size_categories:
- 1K<n<10K
---
# Dataset Card for Janes-Preklop
### Dataset Summary
Janes-Preklop is a corpus of Slovene tweets that is manually annotated for code-switching: the use of words from two
or more languages within one sentence or utterance.
### Languages
Code-switched Slovenian.
## Dataset Structure
### Data Instances
A sample instance from the dataset - each word is annotated with its language, either `"default"`
(Slovenian/unclassifiable), `en` (English), `de` (German), `hbs` (Serbo-Croatian), `sp` (Spanish),
`la` (Latin), `ar` (Arabic), `fr` (French), `it` (Italian), or `pt` (Portuguese).
```
{
'id': 'tid.397447931558895616',
'words': ['Brad', 'Pitt', 'na', 'Planet', 'TV', '.', 'U', 'are', 'welcome', ';)'],
'language': ['default', 'default', 'default', 'default', 'default', 'default', 'B-en', 'I-en', 'I-en', 'I-en']
}
```
### Data Fields
- `id`: unique identifier of the example;
- `words`: words in the sentence;
- `language`: language of each word.
## Additional Information
### Dataset Curators
Špela Reher, Tomaž Erjavec, Darja Fišer.
### Licensing Information
CC BY-SA 4.0.
### Citation Information
```
@misc{janes_preklop,
title = {Tweet code-switching corpus Janes-Preklop 1.0},
author = {Reher, {\v S}pela and Erjavec, Toma{\v z} and Fi{\v s}er, Darja},
url = {http://hdl.handle.net/11356/1154},
note = {Slovenian language resource repository {CLARIN}.{SI}},
copyright = {Creative Commons - Attribution-{ShareAlike} 4.0 International ({CC} {BY}-{SA} 4.0)},
issn = {2820-4042},
year = {2017}
}
```
### Contributions
Thanks to [@matejklemen](https://github.com/matejklemen) for adding this dataset.