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csebuetnlp/BanglaParaphrase

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Hugging Face2022-11-14 更新2024-03-04 收录
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资源简介:
--- annotations_creators: - found language_creators: - found language: - bn license: - cc-by-nc-sa-4.0 multilinguality: - monolingual size_categories: - 100k<n<1M source_datasets: - original task_categories: - text2text-generation task_ids: [] pretty_name: BanglaParaphrase tags: - conditional-text-generation - paraphrase-generation --- # Dataset Card for "BanglaParaphrase" ## Table of Contents - [Dataset Card Creation Guide](#dataset-card-creation-guide) - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) - [Who are the source language producers?](#who-are-the-source-language-producers) - [Annotations](#annotations) - [Annotation process](#annotation-process) - [Who are the annotators?](#who-are-the-annotators) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Repository:** [https://github.com/csebuetnlp/banglaparaphrase](https://github.com/csebuetnlp/banglaparaphrase) - **Paper:** [BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset](https://arxiv.org/abs/2210.05109) - **Point of Contact:** [Najrin Sultana](mailto:nazrinshukti@gmail.com) ### Dataset Summary We present BanglaParaphrase, a high quality synthetic Bangla paraphrase dataset containing about 466k paraphrase pairs. The paraphrases ensures high quality by being semantically coherent and syntactically diverse. ### Supported Tasks and Leaderboards [More information needed](https://github.com/csebuetnlp/banglaparaphrase) ### Languages - `bengali` ## Loading the dataset ```python from datasets import load_dataset from datasets import load_dataset ds = load_dataset("csebuetnlp/BanglaParaphrase") ``` ## Dataset Structure ### Data Instances One example from the `train` part of the dataset is given below in JSON format. ``` { "source": "বেশিরভাগ সময় প্রকৃতির দয়ার ওপরেই বেঁচে থাকতেন উপজাতিরা।", "target": "বেশিরভাগ সময়ই উপজাতিরা প্রকৃতির দয়ার উপর নির্ভরশীল ছিল।" } ``` ### Data Fields - 'source': A string representing the source sentence. - 'target': A string representing the target sentence. ### Data Splits Dataset with train-dev-test example counts are given below: Language | ISO 639-1 Code | Train | Validation | Test | -------------- | ---------------- | ------- | ----- | ------ | Bengali | bn | 419, 967 | 233, 31 | 233, 32 | ## Dataset Creation ### Curation Rationale [More information needed](https://github.com/csebuetnlp/banglaparaphrase) ### Source Data [Roar Bangla](https://roar.media/bangla) #### Initial Data Collection and Normalization [Detailed in the paper](https://arxiv.org/abs/2210.05109) #### Who are the source language producers? [Detailed in the paper](https://arxiv.org/abs/2210.05109) ### Annotations [Detailed in the paper](https://arxiv.org/abs/2210.05109) #### Annotation process [Detailed in the paper](https://arxiv.org/abs/2210.05109) #### Who are the annotators? [Detailed in the paper](https://arxiv.org/abs/2210.05109) ### Personal and Sensitive Information [More information needed](https://github.com/csebuetnlp/banglaparaphrase) ## Considerations for Using the Data ### Social Impact of Dataset [More information needed](https://github.com/csebuetnlp/banglaparaphrase) ### Discussion of Biases [More information needed](https://github.com/csebuetnlp/banglaparaphrase) ### Other Known Limitations [More information needed](https://github.com/csebuetnlp/banglaparaphrase) ## Additional Information ### Dataset Curators [More information needed](https://github.com/csebuetnlp/banglaparaphrase) ### Licensing Information Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/). Copyright of the dataset contents belongs to the original copyright holders. ### Citation Information ``` @article{akil2022banglaparaphrase, title={BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset}, author={Akil, Ajwad and Sultana, Najrin and Bhattacharjee, Abhik and Shahriyar, Rifat}, journal={arXiv preprint arXiv:2210.05109}, year={2022} } ``` ### Contributions
提供机构:
csebuetnlp
原始信息汇总

数据集概述

数据集名称

  • 名称: BanglaParaphrase
  • 描述: 一个高质量的孟加拉语同义句数据集,包含约466k对同义句。

语言

  • 语言: 孟加拉语 (bengali)

许可

数据集结构

  • 数据实例: 每个实例包含一个源句和一个目标句,确保语义一致性和句法多样性。
  • 数据字段:
    • source: 源句,字符串类型。
    • target: 目标句,字符串类型。
  • 数据分割:
    • 训练集: 419,967 对
    • 验证集: 23,313 对
    • 测试集: 23,332 对

任务类别

  • 任务类别: 文本到文本生成 (text2text-generation)

数据集创建

  • 来源数据: 原始数据
  • 注释过程: 详细信息请参阅论文。
  • 注释者: 详细信息请参阅论文。

使用考虑

  • 许可证信息: 本数据集内容仅限于非商业研究目的。

  • 引用信息:

    @article{akil2022banglaparaphrase, title={BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset}, author={Akil, Ajwad and Sultana, Najrin and Bhattacharjee, Abhik and Shahriyar, Rifat}, journal={arXiv preprint arXiv:2210.05109}, year={2022} }

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