Datasets:

KRAFTON
/

KVoiceBench

---
dataset_info:
- config_name: advbench-test
  features:
  - name: id
    dtype: string
  - name: audio
    dtype: audio
  - name: transcription
    dtype: string
  - name: answer
    dtype: string
  - name: capability
    dtype: string
  splits:
  - name: test
    num_examples: 513
- config_name: alpacaeval_full-test
  features:
  - name: id
    dtype: string
  - name: audio
    dtype: audio
  - name: transcription
    dtype: string
  - name: answer
    dtype: string
  - name: capability
    dtype: string
  splits:
  - name: test
    num_examples: 614
- config_name: bbh-test
  features:
  - name: id
    dtype: string
  - name: audio
    dtype: audio
  - name: transcription
    dtype: string
  - name: answer
    dtype: string
  - name: capability
    dtype: string
  splits:
  - name: test
    num_examples: 750
- config_name: commoneval-test
  features:
  - name: id
    dtype: string
  - name: audio
    dtype: audio
  - name: transcription
    dtype: string
  - name: answer
    dtype: string
  - name: capability
    dtype: string
  splits:
  - name: test
    num_examples: 194
- config_name: ifeval-test
  features:
  - name: id
    dtype: string
  - name: audio
    dtype: audio
  - name: transcription
    dtype: string
  - name: answer
    dtype: string
  - name: capability
    dtype: string
  splits:
  - name: test
    num_examples: 279
- config_name: mmsu
  features:
  - name: id
    dtype: string
  - name: audio
    dtype: audio
  - name: transcription
    dtype: string
  - name: answer
    dtype: string
  - name: capability
    dtype: string
  splits:
  - name: test
    num_examples: 3006
- config_name: openbookqa-test
  features:
  - name: id
    dtype: string
  - name: audio
    dtype: audio
  - name: transcription
    dtype: string
  - name: answer
    dtype: string
  - name: capability
    dtype: string
  splits:
  - name: test
    num_examples: 445
- config_name: sd-qa
  features:
  - name: id
    dtype: string
  - name: audio
    dtype: audio
  - name: transcription
    dtype: string
  - name: answer
    dtype: string
  - name: capability
    dtype: string
  splits:
  - name: test
    num_examples: 533
- config_name: wildvoice-test
  features:
  - name: id
    dtype: string
  - name: audio
    dtype: audio
  - name: transcription
    dtype: string
  - name: answer
    dtype: string
  - name: capability
    dtype: string
  splits:
  - name: test
    num_examples: 972
configs:
- config_name: advbench-test
  data_files:
  - split: test
    path: advbench-test/test-*
- config_name: alpacaeval_full-test
  data_files:
  - split: test
    path: alpacaeval_full-test/test-*
- config_name: bbh-test
  data_files:
  - split: test
    path: bbh-test/test-*
- config_name: commoneval-test
  data_files:
  - split: test
    path: commoneval-test/test-*
- config_name: ifeval-test
  data_files:
  - split: test
    path: ifeval-test/test-*
- config_name: mmsu
  data_files:
  - split: test
    path: mmsu/test-*
- config_name: openbookqa-test
  data_files:
  - split: test
    path: openbookqa-test/test-*
- config_name: sd-qa
  data_files:
  - split: test
    path: sd-qa/test-*
- config_name: wildvoice-test
  data_files:
  - split: test
    path: wildvoice-test/test-*
license: apache-2.0
task_categories:
- automatic-speech-recognition
- question-answering
language:
- ko
pretty_name: KVoiceBench
size_categories:
- 1K<n<10K
---

# KVoiceBench

<p align="center">
  <a href="https://www.krafton.ai/ko/"><img src="https://img.shields.io/badge/Homepage-KRAFTON%20AI-blue?style=flat&logo=google-chrome&logoColor=white" alt="Homepage"></a>
  <a href="https://huggingface.co/KRAFTON"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-KRAFTON-yellow?style=flat" alt="Hugging Face"></a>
  <a href="#license"><img src="https://img.shields.io/badge/License-Apache%202.0-lightgrey?style=flat" alt="License"></a>
</p>

**KVoiceBench** is a Korean spoken question answering benchmark for evaluating speech models, built upon [VoiceBench](https://arxiv.org/abs/2410.17196).

## Dataset Description

As there is no existing benchmark for evaluating Korean spoken question answering capabilities, we construct KVoiceBench by building upon the English benchmark VoiceBench.

**Construction process:**
1. All transcriptions from VoiceBench are translated into Korean.
2. Translations are normalized into speech-friendly text.
3. Audio is synthesized using a Qwen3-TTS system.
4. Linguistic features that do not exist in Korean (e.g., capitalization, certain grammatical rules) are removed or adapted to better align with the Korean language.

## Subsets

The dataset consists of **6,928** samples across 9 subsets:

| Subset | Samples | Task Type |
|---|---|---|
| OpenBookQA | 445 | Multiple-choice QA |
| MMSU | 3,006 | Multiple-choice QA |
| Big-Bench-Hard | 750 | Multiple-choice QA |
| SD-QA | 533 | Short-answer QA |
| AlpacaEval | 614 | Open-ended |
| CommonEval | 194 | Open-ended |
| WildVoice | 972 | Open-ended |
| IFEval | 279 | Instruction following |
| AdvBench | 513 | Safety |

## Features

- **id** (string): Unique sample identifier
- **audio** (Audio): Synthesized Korean speech audio
- **transcription** (string): Korean text transcription of the audio
- **answer** (string): Reference answer (empty string for open-ended/safety subsets)
- **capability** (string): Evaluated capability category

## Usage

```python
from datasets import load_dataset

# Load a specific subset
ds = load_dataset("KRAFTON/KVoiceBench", "bbh-test", split="test")
print(ds[0])
# {'id': 'bbh_navigate_147', 'audio': {'path': ..., 'array': array([...]), 'sampling_rate': 24000},
#  'transcription': '...', 'answer': '...', 'capability': 'context_related/multi_hop_reasoning'}

# Load all subsets
subsets = [
    "advbench-test", "alpacaeval_full-test", "bbh-test", "commoneval-test",
    "ifeval-test", "mmsu", "openbookqa-test", "sd-qa", "wildvoice-test"
]
for subset in subsets:
    ds = load_dataset("KRAFTON/KVoiceBench", subset, split="test")
    print(f"{subset}: {len(ds)} samples")
```

## Citation

```bibtex
@article{kvoicebench2026,
  title={KVoiceBench: A Korean Spoken Question Answering Benchmark},
  author={},
  year={2026}
}
```

## License

This dataset is released under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).

&copy; 2026 KRAFTON