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Datatang--mixed_speech_chinese_english/train/0000.parquet

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G00001S1002.metadata

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-LHD	Datatang - v1.2
-DBN
-SES	G00001
-CMT	*** Speech Label Information ***
-FIP	data/category/G00001/G00001S1002.wav
-CCD	reading
-REP	indoor
-RED
-RET
-CMT	*** Speech Data Coding ***
-SAM	16000
-SNB	2
-SBF	lohi
-SSB	16
-QNT	wav
-NCH	1
-CMT	*** Speaker Information ***
-SCD	G00001
-SEX	Female
-AGE	19
-ACC	an hui province bo zhou city
-ACT	Standard Mandarin
-BIR	an hui province bo zhou city
-CMT	*** Recording Conditions ***
-SNQ
-MIP	close
-MIT	Android
-SCC	Quiet
-CMT	*** Label File Body ***
-LBD	G00001S1002.txt
-LBR	3.7083125
-LBO
-CMT	*** Customized Label Body ***
-SRA
-EMO
-ORS	新年第一天，来了个reject，扎心啊

G00001S1002.txt

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-[N]新年第一天来了个reject扎心啊

README.md

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----
-YAML tags:
-- copy-paste the tags obtained with the tagging app: https://github.com/huggingface/datasets-tagging
----
-
-# Dataset Card for mixed_speech_chinese_english
-
-## 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:** www.datatang.ai
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
-
-### Dataset Summary
-
-The dataset contains 2,000 hours of mixed speech with Chinese and English. The data is collected from speakers in 26 provinces like Henan, Shanxi, Sichuan, Hunan, Fujian, etc.The content covers generic scene and multiple human machine interation scenes, such as music, entertainment, travel, daily life. The data covers more than 30,000 English words. The sentence accuracy is over 97%.                                                                                                                                    For more details, please refer to the link: https://bit.ly/39UzIwI
-
-### 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
-
-Chinese, 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
-
-[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