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-- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
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-# Dataset Card for Nexdata/He'nan_Dialect_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/48?source=Huggingface
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-
-### Dataset Summary
-
-It collects 463 Henan locals with authentic accent. The recording contents contain daily message and multi-fields customer consultation. It is checked and proofread by Henan locals to ensure the high accuracy. It recorded by android cellphone and iPhone.
-                           
-For more details, please refer to the link: https://www.nexdata.ai/datasets/48?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
-
-Henan Dialect
-## 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
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-[More Information Needed]
-
-#### Who are the source language producers?
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-[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
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-Commerical License: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing  
-
-### Citation Information
-
-[More Information Needed]
-
-### Contributions
+# Dataset Card for Nexdata/American_Children_Speech_Data_By_Mobile_Phone
+
+## Description
+The data is recorded by 290 children from the U.S.A, with a balanced male-female ratio. The recorded content of the data mainly comes from children's books and textbooks, which are in line with children's language usage habits. The recording environment is relatively quiet indoors, the text is manually transferred with high accuracy.
+
+For more details, please refer to the link: https://www.nexdata.ai/datasets/1197?source=Huggingface
+
+# Specifications
+
+## Format
+16kHz, 16bit, uncompressed wav, mono channel
+## Recording environment
+quiet indoor environment, without echo
+## Recording content (read speech)
+children's books and textbooks
+## Demographics
+286 American children, 53% of which are female, all children are 5-12 years old
+## Device
+Android mobile phone, iPhone
+## Language
+American English
+## Application scenarios
+speech recognition; voiceprint recognition.
+## Accuracy rate
+95% of sentence accuracy
+
+# Licensing Information
+Commerical License