Update README.md

README.md

@@ -1,126 +1,47 @@
 ---
 YAML tags:
 - copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
+task_categories:
+- conversational
+- automatic-speech-recognition
+language:
+- en
 ---
+# 1000-Hours-American-English-Conversational-Speech-Data-by-Mobile-Phone
 
-# Dataset Card for Nexdata/American_English_Natural_Dialogue_Speech_Data
-
-## 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/1004?source=Huggingface
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-
-### Dataset Summary
 
+## Description
 2000 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.
-                                                                                                                               
-For more details, please refer to the link: https://www.nexdata.ai/datasets/1004?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
-
-American English
-## 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
+For more details, please refer to the link: https://www.nexdata.ai/datasets/1004?source=Huggingface
 
-[More Information Needed]
 
-### Other Known Limitations
+## Format
+16kHz, 16bit, uncompressed wav, mono channel
 
-[More Information Needed]
+## Recording Environment
+quiet indoor environment, without echo
 
-## Additional Information
+## Recording Content
+dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed
 
-### Dataset Curators
+## Population
+2,000 Americans, balance for gender;
 
-[More Information Needed]
+## Annotation
+annotating for the transcription text, speaker identification and gender
 
-### Licensing Information
+## Device
+Android mobile phone, iPhone
 
-Commerical License: https://drive.google.com/file/d/1saDCPm74D4UWfBL17VbkTsZLGfpOQj1J/view?usp=sharing  
+## Language
+American English
 
-### Citation Information
+## Application scene
+speech recognition,  voiceprint recognition
 
-[More Information Needed]
+## Accuracy rate
+95%
 
-### Contributions
+# Licensing Information
+Commercial License