Update README.md

README.md

@@ -1,127 +1,36 @@
 ---
 YAML tags:
 - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
+task_categories:
+- automatic-speech-recognition
+- voice-activity-detection
 ---
+# 201-People-Infant-Cry-Speech-Data-by-Mobile-Phone
 
-# Dataset Card for Nexdata/Infant_Cry_Speech_Data_by_Mobile_Phone
-
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [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)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** https://www.nexdata.ai/datasets/998?source=Huggingface
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-
-### Dataset Summary
 
+## Description
 Crying sound of 201 infants and young children aged 0~3 years old, a number of paragraphs from each of them; It provides data support for detecting children's crying sound in smart home projects.
-                           
-For more details, please refer to the link: https://www.nexdata.ai/datasets/998?source=Huggingface
-
-### Supported Tasks and Leaderboards
-
-automatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).
-
-### Languages
-
-Infant Cry
-## Dataset Structure
-
-### Data Instances
-
-[More Information Needed]
-
-### Data Fields
-
-[More Information Needed]
-
-### Data Splits
-
-[More Information Needed]
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
 
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
+For more details, please refer to the link: https://www.nexdata.ai/datasets/998?source=Huggingface
 
-### Dataset Curators
 
-[More Information Needed]
+## Format
+16kHz, 16bit, uncompressed wav, mono channel
 
-### Licensing Information
+## Recording Environment
+relatively quiet indoor environment, without echo
 
-Commerical License: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing  
+## Recording Content
+infant cry
 
-### Citation Information
+## Population
+201 people; 105 boys, 96 girls; 132 people aged 0~1, 58 people aged 1~2, 11 people aged 2~3
 
-[More Information Needed]
+## Device
+iPhone, Android mobile phone
 
-### Contributions
+## Application scene
+abnormal voice recognition,smart home
 
+# Licensing Information
+Commercial License