Datasets:

8Opt
/

clotho-dev-sample

language:
  - en
license: other
task_categories:
  - audio-classification
  - text-to-audio
tags:
  - audio-retrieval
  - audio-captioning
  - DCASE
  - CLAP
  - contrastive-learning
pretty_name: Clotho Development Subset
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: file_name
      dtype: string
    - name: audio
      dtype:
        audio:
          sampling_rate: 44100
    - name: caption_1
      dtype: string
    - name: caption_2
      dtype: string
    - name: caption_3
      dtype: string
    - name: caption_4
      dtype: string
    - name: caption_5
      dtype: string
    - name: keywords
      dtype: string
    - name: sound_id
      dtype: string
    - name: sound_link
      dtype: string
    - name: start_end_samples
      dtype: string
    - name: manufacturer
      dtype: string
    - name: license
      dtype: string
  splits:
    - name: train
      num_bytes: 1817512354
      num_examples: 907
    - name: test
      num_bytes: 452928261
      num_examples: 227
  download_size: 2184813586
  dataset_size: 2270440615

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.