--- license: mit dataset_info: - config_name: default features: - name: info dtype: string - name: modern dtype: string - name: classical dtype: string - name: english dtype: string splits: - name: train num_bytes: 366918005 num_examples: 972467 download_size: 256443222 dataset_size: 366918005 - config_name: gemini-augmented features: - name: info dtype: string - name: modern dtype: string - name: classical dtype: string - name: english dtype: string - name: text dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 11142831.6 num_examples: 9000 - name: test num_bytes: 1238092.4 num_examples: 1000 download_size: 7541863 dataset_size: 12380924.0 - config_name: instruct features: - name: info dtype: string - name: modern dtype: string - name: classical dtype: string - name: english dtype: string - name: text dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 9876880 num_examples: 9000 - name: test num_bytes: 1104403 num_examples: 1000 download_size: 6887847 dataset_size: 10981283 - config_name: instruct-augmented features: - name: info dtype: string - name: modern dtype: string - name: classical dtype: string - name: english dtype: string - name: text dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 11171774 num_examples: 9000 - name: test num_bytes: 1209150 num_examples: 1000 download_size: 7561715 dataset_size: 12380924 - config_name: instruct-large features: - name: info dtype: string - name: modern dtype: string - name: classical dtype: string - name: english dtype: string - name: text dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 967264421 num_examples: 875214 - name: test num_bytes: 107462809 num_examples: 97246 download_size: 673411951 dataset_size: 1074727230 configs: - config_name: default data_files: - split: train path: data/train-* - config_name: instruct data_files: - split: train path: instruct/train-* - split: test path: instruct/test-* - config_name: instruct-augmented data_files: - split: train path: instruct-augmented/train-* - split: test path: instruct-augmented/test-* - config_name: instruct-large data_files: - split: train path: instruct-large/train-* - split: test path: instruct-large/test-* --- **Dataset Card for WenYanWen\_English\_Parallel** **Dataset Summary** The WenYanWen\_English\_Parallel dataset is a multilingual parallel corpus in Classical Chinese (Wenyanwen), modern Chinese, and English. The Classical Chinese and modern Chinese parts are sourced from the NiuTrans/Classical-Modern dataset, while the corresponding English translations are generated using Gemini Pro. **Supported Tasks and Leaderboard** This dataset can be used for various multilingual and translation tasks, including but not limited to: 1. Neural Machine Translation (Classical Chinese to Modern Chinese) 2. Neural Machine Translation (Modern Chinese to English) 3. Neural Machine Translation (Classical Chinese to English) 4. Multilingual Text-to-Text Transfer There is currently no official leaderboard for this dataset. **License** Please refer to the license of the [NiuTrans/Classical-Modern](https://github.com/NiuTrans/Classical-Modern) dataset and the terms of use of Gemini Pro for more information regarding the dataset license. **Citation Information** If you use this dataset in your research, please cite the original sources: 1. [NiuTrans/Classical-Modern](https://github.com/NiuTrans/Classical-Modern) 2. [Gemini Pro](https://arxiv.org/abs/2403.05530) **Dataset Structure** The dataset have four subsets, namely `default`, `instruct`, `instruct-augment`, `instruct-large` 1. **Default** **Features:** - `info`: string - `modern`: string - `classical`: string - `english`: string **Splits:** - Train: 972,467 examples **Size:** - Dataset size: 366.9 MB - Download size: 256.4 MB 2. **Instruct** **Features:** - `info`: string - `modern`: string - `classical`: string - `english`: string - `text`: string - `messages`: list of {`content`: string, `role`: string} **Splits:** - Train: 9,000 examples - Test: 1,000 examples **Size:** - Dataset size: 10.98 MB - Download size: 6.89 MB 3. **Instruct-Augmented** **Features:** - `info`: string - `modern`: string - `classical`: string - `english`: string - `text`: string - `messages`: list of {`content`: string, `role`: string} **Splits:** - Train: 9,000 examples - Test: 1,000 examples **Size:** - Dataset size: 12.4 MB - Download size: 7.56 MB 4. **Instruct-Large** **Features:** - `info`: string - `modern`: string - `classical`: string - `english`: string - `text`: string - `messages`: list of {`content`: string, `role`: string} **Splits:** - Train: 875,214 examples - Test: 97,246 examples **Size:** - Dataset size: 1.07 GB - Download size: 673.41 MB Here is an example of a dataset entry: | Document Info | Modern Chinese | Classical Chinese | English Translation | | --- | --- | --- | --- | | 《黄帝四经·经法·道法》 | 人一降生便有患害随之，这是因为人的本性中存在着欲望且这种欲望永无止境。 | 生有害，曰欲，曰不知足。 | Man is born to know sorrow, because man's nature is selfish and his desires insatiable. | **Dataset Size** The dataset contains approximately 972k entries. **Data Fields** - `info`: A string representing the title or source information of the text. - `classical`: Classical Chinese (Wenyanwen) text corresponding to the modern text. - `modern`: A string containing the translation of the original Classical Chinese text into modern Chinese. - `english`: English translation of the Chinese text. - `text`: instruction/answer pair in string format - `messages`: instruction/answer pair in conversation format: - `content`: String representing the content of a message. - `role`: String representing the role associated with the message (e.g., sender, receiver). **Potential Bias** Since the English translations are generated using Gemini Pro, there might be inconsistencies or errors in the translations, which may introduce bias into the dataset. Additionally, the choice of Classical Chinese texts and their modern Chinese translations may also introduce bias. Finally, the use of a single translation tool for the English translations may result in limited linguistic diversity. **Potential Social Impact** This dataset can be used for various multilingual and translation tasks, which can have a positive impact on facilitating cross-cultural communication and understanding. However, it is important to be aware of the potential biases in the dataset and to use the dataset responsibly. Additionally, as with any dataset, it is important to consider the ethical implications of using this dataset, including issues related to data privacy, consent, and representation.