Datasets:
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
languages:
- en
- zh-CN
licenses:
- cc-by-sa-4.0
multilinguality:
- multilingual
pretty_name: >-
ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn
Conversation
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- automatic-speech-recognition
task_ids:
- code-switching
- speech-recognition
Dataset Card for ASCEND
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: [Needs More Information]
- Repository: [Needs More Information]
- Paper: https://arxiv.org/abs/2112.06223
- Leaderboard: [Needs More Information]
- Point of Contact: [Needs More Information]
Dataset Summary
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.
Supported Tasks and Leaderboards
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Languages
Chinese and English
Dataset Structure
Data Instances
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Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
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Licensing Information
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Citation Information
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