kimnt93/viet-self-instruct-gpt3.5-v2

---
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
- name: history
sequence: 'null'
splits:
- name: train
num_bytes: 31705155
num_examples: 18930
download_size: 13012741
dataset_size: 31705155
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

**Dataset Name:** viet-self-instruct-gpt3.5-v2

**Description:** The viet-self-instruct-gpt3.5-v2 dataset is generated using the self-instruct method as described in the [Self-Instruct GitHub repository](https://github.com/yizhongw/self-instruct). It contains Vietnamese instruction data specifically tailored for training language models.

**Source:** [viet-self-instruct-gpt3.5-v2 on Hugging Face Datasets](https://huggingface.co/datasets/kimnt93/viet-self-instruct-gpt3.5-v2)

**Method:** The dataset was generated using the self-instruct method described in the [Self-Instruct GitHub repository](https://github.com/yizhongw/self-instruct).

**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 viet-self-instruct-gpt3.5-v2 dataset
dataset = load_dataset("kimnt93/viet-self-instruct-gpt3.5-v2")

# 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 viet-self-instruct-gpt3.5-v2 dataset. You can run this script in your Python environment to download the dataset and print some basic information about it.

Make sure you have the `datasets` library installed (`pip install datasets`) before running the script.

Let me know if you need further assistance!

原始信息汇总

数据集概述

数据集名称

• 名称: viet-self-instruct-gpt3.5-v2

数据集描述

• 描述: 该数据集是通过Self-Instruct GitHub仓库中描述的自指导方法生成的，专门为训练语言模型设计的越南语指令数据。

数据集特征

• 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
  • history: 序列类型为null

数据集分割

• 分割:
  • train: 包含18930个样本，总大小为31705155字节

数据集大小

• 下载大小: 13012741字节
• 数据集大小: 31705155字节

配置

• 配置名称: default
• 数据文件:
  • split: train
  • 路径: data/train-*