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---
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
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