---
language:
- zh
- en
task_categories:
- automatic-speech-recognition
- text-classification
- audio-classification
tags:
- esports
- linguistics
- emotion-recognition
- kpl
size_categories:
- 1K<n<10K
license: cc-by-4.0
---
# KPL Esports Linguistic Dataset 

## Abstract
This dataset introduces a multimodal labeled dataset including 65 minutes and 24 seconds of commentary from three dynamic matches in the King Pro League (KPL) of the game "Honor of Kings": the 2021 Autumn Semifinals, 2025 Finals, and 2025 Summer Finals. This dataset was collected by extracting AI-generated, time-aligned transcripts from recording videos on BiliBili Platform, which combines essential manually modification to ensure accuracy. It features comprehensive manual annotations, including speaker recognition, screen event descriptions, domain-specific terminology (OOV) extraction, and emotion grading. Provided in CSV format, this dataset addresses the scarcity of high-intensity, domain-specific spoken language resources, offering significant potential for multimodal sentiment analysis and esports-related Natural Language Processing (NLP) research.