llava_zh_en_2k_hf

This dataset is composed by

* 1k examples of English Visual Instruction Data from [LLaVA](https://github.com/haotian-liu/LLaVA).
* 1k examples of English Visual Instruction Data from [openbmb](https://huggingface.co/datasets/openbmb/llava_zh).

You can organize content in the dataset_info.json in LLaMA Factory like this:

```
"llava_1k_en": {
"hf_hub_url": "BUAADreamer/llava-en-zh-2k",
"subset": "en",
"formatting": "sharegpt",
"columns": {
"messages": "messages",
"images": "images"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
"llava_1k_zh": {
"hf_hub_url": "BUAADreamer/llava-en-zh-2k",
"subset": "zh",
"formatting": "sharegpt",
"columns": {
"messages": "messages",
"images": "images"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
```

You can use it in [LLaMA Factory](https://github.com/hiyouga/LLaMA-Factory) by specifying --dataset llava_1k_en,llava_1k_zh.

本数据集由以下两部分构成：
* 源自[LLaVA](https://github.com/haotian-liu/LLaVA)的1000条英文视觉指令数据样本；
* 源自[openbmb](https://huggingface.co/datasets/openbmb/llava_zh)的1000条英文视觉指令数据样本。

你可在LLaMA Factory的`dataset_info.json`配置文件中按如下格式组织数据集内容：

"llava_1k_en": {
"hf_hub_url": "BUAADreamer/llava-en-zh-2k",
"subset": "en",
"formatting": "sharegpt",
"columns": {
"messages": "messages",
"images": "images"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},
"llava_1k_zh": {
"hf_hub_url": "BUAADreamer/llava-en-zh-2k",
"subset": "zh",
"formatting": "sharegpt",
"columns": {
"messages": "messages",
"images": "images"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant"
}
},

你可通过指定`--dataset llava_1k_en,llava_1k_zh`参数，在[LLaMA Factory](https://github.com/hiyouga/LLaMA-Factory)中使用该数据集。

搜集汇总

背景与挑战

背景概述

该数据集包含2000个视觉指令数据示例，其中1000个来自LLaVA，1000个来自openbmb，均为英文内容。它遵循特定格式，适用于LLaMA Factory工具进行数据处理和模型训练。