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Merge branch 'main' of https://huggingface.co/datasets/CAiRE/ASCEND into main

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+ ---
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+ annotations_creators:
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+ - expert-generated
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+ language_creators:
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+ - crowdsourced
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+ languages:
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+ - en
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+ - zh-CN
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+ licenses:
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+ - cc-by-sa-4.0
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+ multilinguality:
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+ - multilingual
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+ pretty_name: 'ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in
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+ Multi-turn Conversation'
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - automatic-speech-recognition
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+ task_ids:
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+ - code-switching
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+ - speech-recognition
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+ ---
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+
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+ # Dataset Card for ASCEND
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-instances)
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+ - [Data Splits](#data-instances)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [Needs More Information]
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+ - **Repository:** [Needs More Information]
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+ - **Paper:** https://arxiv.org/abs/2112.06223
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+ - **Leaderboard:** [Needs More Information]
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+ - **Point of Contact:** [Needs More Information]
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+
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+ ### Dataset Summary
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+
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+ ASCEND (A Spontaneous Chinese-English Dataset) introduces a high-quality resource of spontaneous multi-turn conversational dialogue Chinese-English code-switching corpus collected in Hong Kong. ASCEND consists of 10.62 hours of spontaneous speech with a total of ~12.3K utterances. The corpus is split into 3 sets: training, validation, and test with a ratio of 8:1:1 while maintaining a balanced gender proportion on each set.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ [Needs More Information]
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+
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+ ### Languages
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+
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+ Chinese and English
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ [Needs More Information]
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+
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+ ### Data Fields
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+
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+ [Needs More Information]
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+
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+ ### Data Splits
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+
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+ [Needs More Information]
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [Needs More Information]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [Needs More Information]
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+
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+ #### Who are the source language producers?
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+
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+ [Needs More Information]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [Needs More Information]
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+
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+ #### Who are the annotators?
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+
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+ [Needs More Information]
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+
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+ ### Personal and Sensitive Information
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+
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+ [Needs More Information]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [Needs More Information]
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+
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+ ### Discussion of Biases
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+
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+ [Needs More Information]
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+
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+ ### Other Known Limitations
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+
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+ [Needs More Information]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [Needs More Information]
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+
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+ ### Licensing Information
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+
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+ [Needs More Information]
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+
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+ ### Citation Information
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+
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+ [Needs More Information]