README.md

metadata

language:
  - si
  - en
license: gpl
size_categories:
  - 10K<n<100K
task_categories:
  - translation
pretty_name: Zoom Eng-Si Nmt Dataset
dataset_info:
  features:
    - name: english
      dtype: string
    - name: sinhala
      dtype: string
  splits:
    - name: train
      num_bytes: 8516909
      num_examples: 80684
  download_size: 4162588
  dataset_size: 8516909
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

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Contact : [email protected] | https://m.me/zaanind | https://t.me/zaanind

Dataset Name: Eng-Sinhala Translation Dataset

Description: This dataset contains approximately 80,000 lines of English-Sinhala translation pairs. It can be used to train models for machine translation tasks and other natural language processing applications.

Files:

1. src.txt: This file contains the source sentences in English. Each line corresponds to an English sentence.
2. tgt.txt: This file contains the target sentences in Sinhala. Each line corresponds to the Sinhala translation of the corresponding English sentence in src.txt.

Data License: GPL (GNU General Public License). Please ensure that you comply with the terms and conditions of the GPL when using the dataset.

Note: While you mentioned that some sentences in the dataset might be incorrect due to its large size, it is important to ensure the quality and accuracy of the data for training purposes. Consider performing data cleaning and validation to improve the reliability of your model.

Mission Our mission is to improve the quality of open-source English to Sinhala machine translation. This dataset, consisting of 8,000 translation pairs, is a step in that direction.

Special Thanks: We extend our gratitude to the data collected and cleared by the Zoom.lk subtitles team, whose contributions have been invaluable in making this dataset possible.

Please feel free to reach out if you have any questions, suggestions, or would like to collaborate on further improving this dataset or machine translation models. Your support is greatly appreciated! (Contact : [email protected] | https://m.me/zaanind | https://t.me/zaanind)