README.md

metadata

license: mit
dataset_info:
  - config_name: default
    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: 9883154.7
        num_examples: 9000
      - name: test
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        num_examples: 1000
    download_size: 6887795
    dataset_size: 10981283
  - 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
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        num_examples: 9000
      - name: test
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        num_examples: 1000
    download_size: 7541863
    dataset_size: 12380924
  - 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: 11142831.6
        num_examples: 9000
      - name: test
        num_bytes: 1238092.4
        num_examples: 1000
    download_size: 7541863
    dataset_size: 12380924
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
  - 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-*

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 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
2. Gemini Pro (for English translations)

Dataset Structure

The dataset is a tab-separated text file with four columns:

1. document_info: The title or source information of the text
2. modern_chinese: The translation of the original Classical Chinese text into modern Chinese
3. classical_chinese: The original text in Classical Chinese (Wenyanwen)
4. english: The English translation of the Classical Chinese text

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

• document_info: A string representing the title or source information of the text.
• modern_chinese: A string containing the translation of the original Classical Chinese text into modern Chinese.
• classical_chinese: A string containing the original text in Classical Chinese (Wenyanwen).
• english: A string containing the English translation of the Classical Chinese text.

Data Splits

There are no official data splits for this dataset. We recommend splitting the dataset into train, validation, and test sets at a ratio of 80:10:10.

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.