| | --- |
| | annotations_creators: [] |
| | language_creators: [] |
| | languages: |
| | - si |
| | - en |
| | licenses: [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 |
| |
|
