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README.md
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- text-generation
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# Dataset Card for
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- **formal url:** https://www.luge.ai/#/luge/dataDetail?id=9
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### Supported Tasks and Leaderboards
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The
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### Languages
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```
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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The `alpaca` data is generated by a language model (`text-davinci-003`) and inevitably contains some errors or biases. We encourage users to use this data with caution and propose new methods to filter or improve the imperfections.
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Citation Information
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数据集引用
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```
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Shao, Zhihong, et al. "Long and Diverse Text Generation with Planning-based Hierarchical Variational Model." Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
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```
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### Contributions
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[More Information Needed]
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- text-generation
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---
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# Dataset Card for AdvertiseGen
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- **formal url:** https://www.luge.ai/#/luge/dataDetail?id=9
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### Supported Tasks and Leaderboards
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The dataset designed for generate e-commerce advertise.
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### Languages
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}
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```
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### Citation Information
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数据集引用
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```
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Shao, Zhihong, et al. "Long and Diverse Text Generation with Planning-based Hierarchical Variational Model." Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.
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```
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