task_categories:audio-classification size_categories:10K<n<100K license:cc-by-nc-nd-4.0 arxiv:2305.00969 doi:10.57967/hf/1014 region:us
---
viewer: false
dataset_info:
  features:
  - name: baby_id
    dtype: string
  - name: period
    dtype: string
  - name: duration
    dtype: float64
  - name: split
    dtype: string
  - name: chronological_index
    dtype: string
  - name: file_name
    dtype: string
  - name: file_id
    dtype: string
  splits:
  - name: train
    num_bytes: 522198700
    num_examples: 18190
    num_babies: 586
    total_length (minutes): 268
  - name: dev
    num_bytes: 45498424
    num_examples: 1614
    num_babies: 40
    total_length (minutes): 23
  - name: test
    num_bytes: 192743500
    num_examples: 6289
    num_babies: 160
    total_length (minutes): 99
  dataset_size: 760444720
  num_examples: 26093
  num_babies: 786
  total_length (minutes): 391
license: cc-by-nc-nd-4.0
task_categories:
- audio-classification
size_categories:
- 10K<n<100K

extra_gated_fields:
 Affilation (company or university): text
 Country: text
 I agree to use this data for non-commercial use ONLY (under Creative Commons Attribution-NonCommercial-NoDerivatives 4 International license): checkbox
---
# Dataset Card for "CryCeleb2023"

## Table of Contents
- [Dataset Card for "CryCeleb2023"](#dataset-card-for-cryceleb2023)
  - [Table of Contents](#table-of-contents)
  - [Dataset Description](#dataset-description)
    - [Dataset Summary](#dataset-summary)
    - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Dataset Structure](#dataset-structure)
    - [Data Instances](#data-instances)
    - [Data Splits](#data-splits)
    - [Source Data](#source-data)
    - [Annotations](#annotations)
      - [Annotation process](#annotation-process)
    - [Personal and Sensitive Information](#personal-and-sensitive-information)
  - [Considerations for Using the Data](#considerations-for-using-the-data)
    - [Discussion of Biases](#discussion-of-biases)
    - [Other Known Limitations](#other-known-limitations)
  - [Additional Information](#additional-information)
    - [Dataset Curators](#dataset-curators)
    - [Licensing Information](#licensing-information)
    - [Citation Information](#citation-information)

## Dataset Description

- **Homepage: https://huggingface.co/datasets/Ubenwa/CryCeleb2023**
- **Repository: https://huggingface.co/datasets/Ubenwa/CryCeleb2023**
- **Paper: https://arxiv.org/abs/2305.00969**
- **Leaderboard: https://huggingface.co/spaces/competitions/CryCeleb2023**
- **Point of Contact: challenge@ubenwa.ai**

### Dataset Summary
The CryCeleb2023 dataset is a compilation of cries gathered from 786 infants from various hospitals. \
The 26k audio files make up 6.5 hours of pure expiration sounds. \
The dataset also contains information on the time of recording, which is either within the first hour(s) of life or \
upon hospital discharge, typically within 24 hours of birth.

### Supported Tasks and Leaderboards

[CryCeleb2023 competition](https://huggingface.co/spaces/competitions/CryCeleb2023)

## Dataset Structure

Audio folder contains short wav files (16 kHz wav PCM).

*audio* - folder with audio files structured by infant ID
```
audio/
  train/
    spk1/
      B/
        spk1_B_001.wav
        ...
        spk6_B_001.wav
      ...
      D/
        spk1_D_001.wav
        ...
    ...
    spk586
      ...
  dev/
    ...(similar to train)...
  test/
    anonymous1/
      B/
        ...
```

In this folder structure:
- spkN: folder with recordings corresponding to baby N
- B/D: time of recording (birth or discharge)
- 001, 002,, etc - chronological index of cry sound (expiration)

*metadata.csv* - metadata associated with each audio file

*dev_pairs.csv* - pairs of birth/discharge recordings used for evaluating development set (available to challenge participants)

*test_pairs.csv* - pairs of birth/discharge recordings used in CryCeleb2023 evaluation (public and private scores)

### Data Instances

Audio files 16 kHz wav PCM - manually segmented cry sounds (expirations)

### Data Splits

Number of Infants by Split and Time(s) of Recording(s)

| Time(s) of Recording | train | dev  | test |
| --- | --- | --- | --- | 
| Both birth and discharge | 348 | 40 | 160  |
| Only birth | 183 | 0 | 0 |
| Only discharge | 55 | 0 | 0 |
| | 586 | 40 | 160 |


### Source Data

Audio recordings of infant cries made by android application

### Annotations

#### Annotation process

- Manual segmentation of cry into three categories: expiration, inspiration, no cry
- Only expirations kept in this corpus
- Manual review to remove any PIIs

### Personal and Sensitive Information

PII such as intelligible background speech, etc, were removed from the data.

All identities are also anonymized.

## Considerations for Using the Data


### Discussion of Biases

The dataset only covers infants born in one country

### Other Known Limitations

Dataset only includes expirations.

Recording quality varies 

## Additional Information

### Dataset Curators

Ubenwa.ai (contact: challenge@ubenwa.ai)

### Licensing Information

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
[![cc-nc-nd](https://mirrors.creativecommons.org/presskit/buttons/80x15/png/by-nc-nd.png)](https://creativecommons.org/licenses/cc-nc-nd/4.0/)


### Citation Information

Please cite the following paper if you use this dataset

```
@article{ubenwa2023cryceleb,
      title={CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds}, 
      author={David Budaghyan and Arsenii Gorin and Cem Subakan and Charles C. Onu},
      year={2023},
      journal={preprint arXiv:2305.00969},
}
```
