Rardilit/Panther-dataset_v1

---
license: other
task_categories:
- text-generation
- conversational
- question-answering
- text2text-generation
language:
- en
tags:
- text generation
- panther
pretty_name: Panther
size_categories:
- 100K<n<1M
---

# Dataset Details

This dataset is a modified version of [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf)

This dataset is used in fine tuning [Panther](https://huggingface.co/Rardilit/Panther_v1) - an state of the art LLM funtuned on llama-7b pretrained model.

A very small portion i.e. 5.3% of prompts and responses were taken from this dataset to finetune and train [Panther](https://huggingface.co/Rardilit/Panther_v1)

## Dataset Details

### Dataset Structure

### Train
Train rows : 377k

### Validation
Validation rows : 20.3k

### Dataset Format

```python
input : "prompt"

output : "response"
```

## How to Use

```python
from datasets import load_dataset

dataset = load_dataset("Rardilit/Panther-dataset_v1")
```

原始信息汇总

数据集概述

基本信息

• 许可证: other
• 任务类别:
  • text-generation
  • conversational
  • question-answering
  • text2text-generation
• 语言: en
• 标签:
  • text generation
  • panther
• 数据集名称: Panther
• 数据集大小: 100K<n<1M

数据集详情

数据来源

• 该数据集是Anthropic/hh-rlhf的修改版本。

数据用途

• 用于微调Panther，这是一个基于llama-7b预训练模型的先进LLM。
• 数据集中5.3%的提示和响应被用于微调和训练Panther。

数据集结构

• 训练集: 377k行
• 验证集: 20.3k行

数据集格式

python input : "prompt" output : "response"

如何使用

python from datasets import load_dataset

dataset = load_dataset("Rardilit/Panther-dataset_v1")