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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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# Dataset Card for ASCEND |
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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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## Dataset Description |
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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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### Dataset Summary |
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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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### Supported Tasks and Leaderboards |
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[Needs More Information] |
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### Languages |
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Chinese and English |
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## Dataset Structure |
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### Data Instances |
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[Needs More Information] |
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### Data Fields |
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[Needs More Information] |
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### Data Splits |
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[Needs More Information] |
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## Dataset Creation |
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### Curation Rationale |
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[Needs More Information] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[Needs More Information] |
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#### Who are the source language producers? |
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[Needs More Information] |
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### Annotations |
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#### Annotation process |
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[Needs More Information] |
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#### Who are the annotators? |
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[Needs More Information] |
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### Personal and Sensitive Information |
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[Needs More Information] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[Needs More Information] |
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### Discussion of Biases |
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[Needs More Information] |
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### Other Known Limitations |
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[Needs More Information] |
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## Additional Information |
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### Dataset Curators |
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[Needs More Information] |
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### Licensing Information |
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[Needs More Information] |
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### Citation Information |
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[Needs More Information] |
