|
|
--- |
|
|
annotations_creators: [] |
|
|
language_creators: [] |
|
|
language: |
|
|
- si |
|
|
- en |
|
|
license: [mit] |
|
|
multilinguality: |
|
|
- multilingual |
|
|
pretty_name: '' |
|
|
size_categories: [] |
|
|
source_datasets: [] |
|
|
task_categories: |
|
|
- text-classification |
|
|
task_ids: |
|
|
- sentiment-analysis |
|
|
- hate-speech-detection |
|
|
- humor-detection |
|
|
- language-identification |
|
|
- aspect-identification |
|
|
--- |
|
|
|
|
|
# Sinhala-English-Code-Mixed-Code-Switched-Dataset |
|
|
|
|
|
This dataset contains 10,000 comments that have been annotated at the sentence level for sentiment analysis, humor detection, hate speech detection, aspect identification, and language identification. |
|
|
|
|
|
The following is the tag scheme. |
|
|
* Sentiment - Positive, Negative, Neutral, Conflict |
|
|
* Humor - Humorous, Non humorous |
|
|
* Hate Speech - Hate-Inducing, Abusive, Not offensive |
|
|
* Aspect - Network, Billing or Price, Package, Customer Service, Data, Service or product, None |
|
|
* Language ID - Sinhala, English, Sin-Eng, Eng-Sin, Mixed, Named-Entity, Symbol |
|
|
|
