kimnt93/vietlegalqa
收藏Hugging Face2024-04-20 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/kimnt93/vietlegalqa
下载链接
链接失效反馈官方服务:
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
- 指令来源: Thư Viện Pháp Luật (TVPL)
- 数据集来源: vietlegalqa on Hugging Face Datasets
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。



