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Datatang--accented_english/train/0000.parquet

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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 accented-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 20,000 hours of accented English speech data. It's collected from local English speakers in more than 20 countries, such as USA, China, UK, Germany, Japan, India, France, Spain, Russia, Latin America, covering a variety of pronunciation habits and characteristics, accent severity, and the distribution of speakers. The format is 16kHz, 16bit, uncompressed wav, mono channel. The sentence accuracy is over 95%.                                                                           
-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
-
-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

T0153G0002S0001.metadata

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-LHD	Datatang-v1.2
-DBN
-SES	G0002
-CMT	*** Speech Label Information ***
-FIP	data/category/G0002/session01/T0153G0002S0001.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	G0002
-SEX	Male
-AGE	28
-ACC	Michigan
-ACT	English(US)
-BIR	United States
-CMT	*** Recording Conditions ***
-SNQ
-MIP	close
-MIT	iPhone5,3
-SCC	Quiet
-CMT	*** Label File Body ***
-LBD	T0153G0002S0001.txt
-LBR	10.3806875
-LBO
-CMT	*** Customized Label Body ***
-SRA
-EMO
-ORS	The news force the state to move immediately from planning the site's operational processes to building software,Baden said

T0153G0002S0001.txt

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-The news force the state to move immediately from planning the site's operational processes to building software,Baden said

T0153G0002S0002.metadata

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-LHD	Datatang-v1.2
-DBN
-SES	G0002
-CMT	*** Speech Label Information ***
-FIP	data/category/G0002/session01/T0153G0002S0002.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	G0002
-SEX	Male
-AGE	28
-ACC	Michigan
-ACT	English(US)
-BIR	United States
-CMT	*** Recording Conditions ***
-SNQ
-MIP	close
-MIT	iPhone5,3
-SCC	Quiet
-CMT	*** Label File Body ***
-LBD	T0153G0002S0002.txt
-LBR	5.935875
-LBO
-CMT	*** Customized Label Body ***
-SRA
-EMO
-ORS	Also selling well is the take home soups from the restaurants

T0153G0002S0002.txt

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-Also selling well is the take home soups from the restaurants