# JSUT (Japanese Speech Corpus) - Test Subset

A test subset of the JSUT corpus containing 500 Japanese utterances from the basic5000 dataset (BASIC5000_4501-5000).

## Dataset Description

- **Language:** Japanese (ja)
- **Size:** 500 audio clips
- **Format:** WAV audio (48kHz) + text transcription
- **Source:** [JSUT Corpus](https://sites.google.com/site/shinnosuketakamichi/publication/jsut)
- **Subset:** basic5000 (utterances 4501-5000)
- **License:** CC-BY-SA 4.0 (see LICENCE.txt)

## Dataset Structure

```
jsut_ver1.1/
└── basic5000/
    ├── wav/                  # WAV audio files (500 files, 48kHz)
    ├── transcript_utf8.txt   # Transcriptions
    └── recording_info.txt    # Recording dates
```

## File Formats

### transcript_utf8.txt
```
BASIC5000_4501:だが、エーアイセンター稼動を快く思わない...
BASIC5000_4502:また、サイコロに姿を変えることもでき...
...
```

### recording_info.txt
```
BASIC5000_4501.wav 12/19/2016
BASIC5000_4502.wav 12/19/2016
...
```

## Usage

### Loading with Hugging Face Datasets

```python
from datasets import load_dataset

# Load from local path
dataset = load_dataset("audiofolder", data_dir="jsut_ver1.1/basic5000")

# Or after uploading to Hugging Face Hub
dataset = load_dataset("your-username/jsut-basic5000-test")
```

### Loading with Python

```python
import pandas as pd

# Read transcripts
transcripts = {}
with open("jsut_ver1.1/basic5000/transcript_utf8.txt", "r", encoding="utf-8") as f:
    for line in f:
        utt_id, text = line.strip().split(":", 1)
        transcripts[utt_id] = text

print(transcripts["BASIC5000_4501"])
```

## Citation

```bibtex
@article{sonobe2017jsut,
  title={JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis},
  author={Sonobe, Ryosuke and Takamichi, Shinnosuke and Saruwatari, Hiroshi},
  journal={arXiv preprint arXiv:1711.00354},
  year={2017}
}
```

## Acknowledgments

This dataset is derived from the JSUT corpus created by:
- Ryosuke Sonobe (University of Tokyo)
- Shinnosuke Takamichi (@forthshinji, University of Tokyo)
- Hiroshi Saruwatari (University of Tokyo)

The full corpus is available at: https://sites.google.com/site/shinnosuketakamichi/publication/jsut