# 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 Charles C. Onu and Arsenii Gorin and Cem Subakan and Doina Precup},
      year={2023},
      journal={preprint arXiv:2305.00969},
}
```

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
{"license": "cc-by-nc-nd-4.0", "size_categories": ["10K<n<100K"], "task_categories": ["audio-classification"], "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}, "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"}}
TAGS
#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 

Dataset Card for "CryCeleb2023"
===============================


Table of Contents
-----------------


* Dataset Card for "CryCeleb2023"
	+ Table of Contents
	+ Dataset Description
		- Dataset Summary
		- Supported Tasks and Leaderboards
	+ Dataset Structure
		- Data Instances
		- Data Splits
		- Source Data
		- Annotations
			* Annotation process
		- Personal and Sensitive Information
	+ Considerations for Using the Data
		- Discussion of Biases
		- Other Known Limitations
	+ Additional Information
		- Dataset Curators
		- Licensing Information
		- Citation Information


Dataset Description
-------------------


* Homepage: URL
* Repository: URL
* Paper: URL
* Leaderboard: URL
* Point of Contact: challenge@URL


### 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


Dataset Structure
-----------------


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


*audio* - folder with audio files structured by infant ID


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)


*URL* - 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)



### 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


URL (contact: challenge@URL)


### Licensing Information


This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
![cc-nc-nd](URL


Please cite the following paper if you use this dataset



### 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


Dataset Structure
-----------------


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


*audio* - folder with audio files structured by infant ID


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)


*URL* - 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) ### 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


URL (contact: challenge@URL) ### Licensing Information


This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
![cc-nc-nd](URL


Please cite the following paper if you use this dataset
TAGS
#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 
 ### 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


Dataset Structure
-----------------


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


*audio* - folder with audio files structured by infant ID


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)


*URL* - 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) ### 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


URL (contact: challenge@URL) ### Licensing Information


This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
![cc-nc-nd](URL


Please cite the following paper if you use this dataset
passage: TAGS
#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 
### 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


Dataset Structure
-----------------


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


*audio* - folder with audio files structured by infant ID


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)


*URL* - 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)### 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
---------------------------------