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kimnt93/vietlegalqa

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Hugging Face2024-04-20 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/kimnt93/vietlegalqa
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资源简介:
--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 17052813 num_examples: 4278 download_size: 6015343 dataset_size: 17052813 configs: - config_name: default data_files: - split: train path: data/train-* --- **Dataset Name:** vietlegalqa **Description:** The vietlegalqa dataset is generated by collecting instructions from Thư Viện Pháp Luật (TVPL) and generating output using GPT-3.5. It contains Vietnamese legal questions and corresponding generated responses. **Source:** [vietlegalqa on Hugging Face Datasets](https://huggingface.co/datasets/kimnt93/vietlegalqa) **Instruction Source:** [Thư Viện Pháp Luật (TVPL)](https://thuvienphapluat.vn/) **Method:** Instructions were collected from Thư Viện Pháp Luật (TVPL), and GPT-3.5 was used to generate responses based on the collected instructions. **License:** Please refer to the license information provided by the original source. --- **Python Script to Download the Dataset:** ```python from datasets import load_dataset # Load the vietlegalqa dataset dataset = load_dataset("kimnt93/vietlegalqa") # Print some basic information about the dataset print("Dataset Name:", dataset.name) print("Number of Samples:", len(dataset)) # Example usage: accessing a sample from the dataset sample = dataset[0] print("Example Sample:", sample) ``` This Python script uses the `datasets` library from Hugging Face to download and access the vietlegalqa dataset. You can run this script in your Python environment to download the dataset and print some basic information about it. Ensure you have the `datasets` library installed (`pip install datasets`) before running the script. Let me know if you need further assistance!
提供机构:
kimnt93
原始信息汇总

数据集概述

数据集名称

vietlegalqa

描述

该数据集通过收集Thư Viện Pháp Luật (TVPL)的指令,并使用GPT-3.5生成输出。内容包含越南法律问题及相应的生成回复。

数据集特征

  • instruction: 数据类型为字符串
  • input: 数据类型为字符串
  • output: 数据类型为字符串

数据集划分

  • train: 包含4278个示例,总大小为17052813字节

数据集大小

  • 下载大小: 6015343字节
  • 数据集大小: 17052813字节

配置

  • config_name: default
  • data_files:
    • split: train
    • path: data/train-*

来源

方法

从Thư Viện Pháp Luật (TVPL)收集指令,使用GPT-3.5生成响应。

许可证

请参考原始来源提供的许可证信息。

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