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hon9kon9ize/yue-sts

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Hugging Face2024-08-20 更新2025-04-12 收录
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--- dataset_info: features: - name: text1 dtype: string - name: text2 dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 14030884.8 num_examples: 32103 - name: test num_bytes: 1558987.2 num_examples: 3567 download_size: 10514888 dataset_size: 15589872 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* license: apache-2.0 task_categories: - text-classification tags: - cantonese - yue - sts pretty_name: Cantonese Wikipedia Semantic Textual Similarity Dataset size_categories: - 1K<n<10K --- # Cantonese Semantic Textual Similarity Dataset ## Dataset Description This dataset is generated by Gemini Flash 1.5 with [R5dwMg/zh-wiki-yue-long](https://huggingface.co/datasets/R5dwMg/zh-wiki-yue-long), which is a Cantonese Wikipedia dataset. We randomly selected a text from R5dwMg/zh-wiki-yue-long and feed it into the Gemini Flash 1.5 to generate and a positve and negative abstruct / question pair. The dataset is then split into training and testing set. The training set contains 32103 examples and the testing set contains 3567 examples. This dataset has been re-balance to have 50% positive and 50% negative examples. ## Licensing and Permissions This dataset is derived from Wikipedia content. Please ensure compliance with Wikipedia's licensing and terms of use, particularly the Creative Commons Attribution-ShareAlike license (CC BY-SA). Proper attribution must be given for all content derived from Wikipedia. Acknowledgments We acknowledge Wikipedia and its contributors for providing the source content for this dataset. Limitations and Considerations - Content Variability: The dataset may contain a mix of different topics and contexts, as it is sourced from various Wikipedia articles. - Complexity: The focus on long sentences could present challenges in parsing and processing complex structures. - Ethical Considerations: Ensure appropriate use of the dataset in accordance with Wikipedia's licensing and any applicable data protection regulations.
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