Datasets:
File size: 2,167 Bytes
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license: apache-2.0
language:
- ko
- en
task_categories:
- translation
size_categories:
- 1K<n<10K
pretty_name: LiveChatBench
configs:
- config_name: default
data_files:
- split: test
path: LiveChatBench.json
---
# LiveChatBench (v1.1)
Korean → English translation benchmark built from Korean live-streaming chat messages.
Each row pairs a Korean chat message with an English reference translation. Where a message relies on
streaming slang, community jargon, or a streamer/game name, a short `background` note explains the term;
it is an empty string when no note is needed.
## Fields
| Field | Type | Description |
|--------------|--------|-----------------------------------------------------------------------------|
| `background` | string | Optional glossary note for slang/terms in the message (`""` when not given) |
| `ko` | string | Source Korean chat message |
| `en` | string | English reference translation |
## Stats
- 1,000 sentence pairs (`test` split)
- 728 rows with a non-empty `background`, 272 rows with `""`
## Usage
```python
from datasets import load_dataset
ds = load_dataset("naruto-soop/LiveChatBench", split="test")
print(ds[0])
# {'background': '챌섭: 챌린저스 월드 (메이플스토리 서버)',
# 'ko': '챌섭이라 뭐가없는걸요..',
# 'en': 'Since it’s the Challengers World server, there’s hardly anything.'}
```
## Version
- v1.1 — 2026-09-27
## Citation
Paper: https://arxiv.org/abs/2601.02641
```bibtex
@misc{park2026empiricalstudyondevicetranslation,
title={An Empirical Study of On-Device Translation for Real-Time Live-Stream Chat on Mobile Devices},
author={Jeiyoon Park and Daehwan Lee and Changmin Yeo and Yongshin Han and Minseop Kim},
year={2026},
eprint={2601.02641},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2601.02641},
}
```
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