suriyagunasekar/midjourney-text-prompts

# Midjourney Text Prompts Dataset

This dataset contains extracted and cleaned Midjourney text prompts from Discord message JSON files.

## Dataset Description

- **Source**: Midjourney Discord server message data
- **Task**: Text-to-image prompt extraction
- **Message Types**: Filtered for INITIAL_OR_VARIATION (type 0) and UPSCALE (type 19) messages

## Data Processing

1. Extracted prompts from messages with double-star formatting (`**prompt**`)
2. Removed embedded image URLs (e.g., `https://s.mj.run/xxx`)
3. Removed duplicate and invalid prompts
4. Split into train/validation/test sets

## Dataset Structure

- `train.jsonl`: 53,610 prompts (80%)
- `validation.jsonl`: 6,701 prompts (10%)
- `test.jsonl`: 6,702 prompts (10%)

## Data Format

Each line is a JSON object with a `prompt` field:
```json
{"prompt": "a beautiful sunset over the ocean, photorealistic, dramatic lighting --ar 16:9"}
```

## Use Cases

This dataset is suitable for:
- Language model fine-tuning on text-to-image prompts
- Prompt generation training
- AI art prompt analysis

## Statistics

- Total unique prompts: 67,013
- Average prompt length: ~119 characters
- Median prompt length: 86 characters

# Midjourney文本提示词数据集

本数据集从Discord消息JSON文件中提取并清洗得到Midjourney文本提示词。

## 数据集描述
- **数据源**：Midjourney Discord服务器消息数据
- **任务类型**：文生图（Text-to-image）提示词提取
- **消息类型**：筛选出INITIAL_OR_VARIATION（类型0）与UPSCALE（类型19）两类消息

## 数据处理流程
1. 从采用双星号格式（`**prompt**`）标记的消息中提取提示词
2. 移除内嵌图片链接（例如`https://s.mj.run/xxx`）
3. 剔除重复与无效提示词
4. 划分为训练集、验证集与测试集

## 数据集结构
- `train.jsonl`：53610条提示词，占比80%
- `validation.jsonl`：6701条提示词，占比10%
- `test.jsonl`：6702条提示词，占比10%

## 数据格式
每行均为包含`prompt`字段的JSON对象，示例如下：
json
{"prompt": "a beautiful sunset over the ocean, photorealistic, dramatic lighting --ar 16:9"}

## 应用场景
本数据集适用于以下任务：
- 基于文生图提示词的大语言模型（Large Language Model, LLM）微调
- 提示词生成模型训练
- AI艺术提示词分析

## 统计信息
- 唯一提示词总数：67013条
- 单条提示词平均长度：约119个字符
- 单条提示词长度中位数：86个字符