[model] support audio (#6701)

* support qwen2_audio

* improve code

* lint

* fix

* fix

* fix

---------

Co-authored-by: hiyouga <hiyouga@buaa.edu.cn>
Former-commit-id: 5eacb5629e4d7733cd992a63747a1335f2c6a929
This commit is contained in:
Zhangchi Feng
2025-02-05 04:59:09 +08:00
committed by GitHub
parent 9feb78e7b4
commit 8f401e37f8
35 changed files with 675 additions and 213 deletions

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@ -24,6 +24,7 @@ Currently we support datasets in **alpaca** and **sharegpt** format.
"tools": "the column name in the dataset containing the tool description. (default: None)",
"images": "the column name in the dataset containing the image inputs. (default: None)",
"videos": "the column name in the dataset containing the videos inputs. (default: None)",
"audios": "the column name in the dataset containing the audios inputs. (default: None)",
"chosen": "the column name in the dataset containing the chosen answers. (default: None)",
"rejected": "the column name in the dataset containing the rejected answers. (default: None)",
"kto_tag": "the column name in the dataset containing the kto tags. (default: None)"
@ -150,6 +151,10 @@ An additional column `images` is required. Please refer to the [sharegpt](#share
An additional column `videos` is required. Please refer to the [sharegpt](#sharegpt-format) format for details.
### Multimodal Audio Dataset
An additional column `audios` is required. Please refer to the [sharegpt](#sharegpt-format) format for details.
## Sharegpt Format
### Supervised Fine-Tuning Dataset
@ -296,7 +301,7 @@ Regarding the above dataset, the *dataset description* in `dataset_info.json` sh
- [Example dataset](mllm_demo.json)
Multimodal image datasets require a `images` column containing the paths to the input images.
Multimodal image datasets require an `images` column containing the paths to the input images.
The number of images should be identical to the `<image>` tokens in the conversations.
@ -374,6 +379,47 @@ Regarding the above dataset, the *dataset description* in `dataset_info.json` sh
}
```
### Multimodal Audio Dataset
- [Example dataset](mllm_audio_demo.json)
Multimodal audio datasets require an `audios` column containing the paths to the input audios.
The number of audios should be identical to the `<audio>` tokens in the conversations.
```json
[
{
"conversations": [
{
"from": "human",
"value": "<audio>human instruction"
},
{
"from": "gpt",
"value": "model response"
}
],
"audios": [
"audio path (required)"
]
}
]
```
Regarding the above dataset, the *dataset description* in `dataset_info.json` should be:
```json
"dataset_name": {
"file_name": "data.json",
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"audios": "audios"
}
}
```
### OpenAI Format
The openai format is simply a special case of the sharegpt format, where the first message may be a system prompt.

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@ -24,6 +24,7 @@
"tools": "数据集代表工具描述的表头名称默认None",
"images": "数据集代表图像输入的表头名称默认None",
"videos": "数据集代表视频输入的表头名称默认None",
"audios": "数据集代表音频输入的表头名称默认None",
"chosen": "数据集代表更优回答的表头名称默认None",
"rejected": "数据集代表更差回答的表头名称默认None",
"kto_tag": "数据集代表 KTO 标签的表头名称默认None"
@ -150,6 +151,10 @@ KTO 数据集需要提供额外的 `kto_tag` 列。详情请参阅 [sharegpt](#s
多模态视频数据集需要提供额外的 `videos` 列。详情请参阅 [sharegpt](#sharegpt-格式)。
### 多模态音频数据集
多模态音频数据集需要提供额外的 `audios` 列。详情请参阅 [sharegpt](#sharegpt-格式)。
## Sharegpt 格式
### 指令监督微调数据集
@ -374,6 +379,48 @@ KTO 数据集需要额外添加一个 `kto_tag` 列,包含 bool 类型的人
}
```
### 多模态音频数据集
- [样例数据集](mllm_audio_demo.json)
多模态音频数据集需要额外添加一个 `audios` 列,包含输入音频的路径。
注意音频的数量必须与文本中所有 `<audio>` 标记的数量严格一致。
```json
[
{
"conversations": [
{
"from": "human",
"value": "<audio>人类指令"
},
{
"from": "gpt",
"value": "模型回答"
}
],
"audios": [
"音频路径(必填)"
]
}
]
```
对于上述格式的数据,`dataset_info.json` 中的*数据集描述*应为:
```json
"数据集名称": {
"file_name": "data.json",
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"audios": "audios"
}
}
```
### OpenAI 格式
OpenAI 格式仅仅是 sharegpt 格式的一种特殊情况,其中第一条消息可能是系统提示词。

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