8Opt/clotho-dev-sample

Clotho Development Subset

A sampled subset (~3GB) of the Clotho v2.1 development split, packaged for quick experimentation with audio-text retrieval pipelines.

📋 Dataset Description

This dataset is a convenience subset of the Clotho audio captioning dataset, created for rapid prototyping and testing of audio-text retrieval models (e.g., CLAP fine-tuning) on limited compute.

• Source: Clotho v2.1 (development split)
• Original Authors: K. Drossos, S. Lipping, T. Virtanen
• Original Paper: Clotho: An Audio Captioning Dataset

📊 Dataset Structure

Splits

Split	Samples	Description
train	~1,300	Training set (80%)
test	~330	Test set (20%)

Features

Column	Type	Description
file_name	string	Original filename from Clotho
audio	Audio	Audio waveform, 44.1kHz
caption_1	string	Human-written caption #1
caption_2	string	Human-written caption #2
caption_3	string	Human-written caption #3
caption_4	string	Human-written caption #4
caption_5	string	Human-written caption #5

Audio Details

• Duration: 15–30 seconds per clip
• Sample Rate: 44,100 Hz
• Channels: Mono
• Format: WAV (stored as Parquet/Arrow on Hub)

🚀 Usage

from datasets import load_dataset

ds = load_dataset("your-username/clotho-dev-sample")

# Access a sample
sample = ds["train"][0]
print(sample["caption_1"])   # "A dog barks in the distance"
print(sample["audio"])       # {'array': array([...]), 'sampling_rate': 44100}

With CLAP

from transformers import ClapProcessor, ClapModel

processor = ClapProcessor.from_pretrained("laion/clap-htsat-unfused")
model = ClapModel.from_pretrained("laion/clap-htsat-unfused")

sample = ds["train"][0]
inputs = processor(
    audios=sample["audio"]["array"],
    sampling_rate=sample["audio"]["sampling_rate"],
    text=sample["caption_1"],
    return_tensors="pt",
    padding=True,
)
outputs = model(**inputs)

⚠️ Important Notes

• This is a subset (~43%) of the full Clotho development split, sampled randomly with seed=42
• For official benchmarking, use the full Clotho dataset from Zenodo
• This subset is intended for pipeline testing and prototyping only

📄 Citation

If you use this dataset, please cite the original Clotho paper:

@inproceedings{drossos2020clotho,
  title={Clotho: An Audio Captioning Dataset},
  author={Drossos, Konstantinos and Lipping, Samuel and Virtanen, Tuomas},
  booktitle={ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing},
  pages={736--740},
  year={2020},
  organization={IEEE}
}

🏷️ License

This dataset follows the original Clotho license. Audio clips are sourced from Freesound under Creative Commons licenses. Please refer to the original dataset for full license details.