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If you are using a custom dataset, please provide your dataset definition in the following format in `dataset_info.json`.
If you are using a custom dataset, please add your **dataset description** to `dataset_info.json` according to the following format. We also provide several examples in the next section.
```json
"dataset_name": {
@ -33,7 +33,7 @@ If you are using a custom dataset, please provide your dataset definition in the
}
```
Given above, you can use the custom dataset via specifying `--dataset dataset_name`.
After that, you can load the custom dataset by specifying `--dataset dataset_name`.
----
@ -54,10 +54,11 @@ Currently we support dataset in **alpaca** or **sharegpt** format, the dataset i
]
```
Regarding the above dataset, the `columns` in `dataset_info.json` should be:
Regarding the above dataset, the description in `dataset_info.json` should be:
```json
"dataset_name": {
"file_name": "data.json",
"columns": {
"prompt": "instruction",
"query": "input",
@ -70,76 +71,86 @@ Regarding the above dataset, the `columns` in `dataset_info.json` should be:
The `query` column will be concatenated with the `prompt` column and used as the user prompt, then the user prompt would be `prompt\nquery`. The `response` column represents the model response.
The `system` column will be used as the system prompt. The `history` column is a list consisting string tuples representing prompt-response pairs in the history. Note that the responses in the history **will also be used for training**.
The `system` column will be used as the system prompt. The `history` column is a list consisting string tuples representing prompt-response pairs in the history. Note that the responses in the history **will also be used for training** in supervised fine-tuning.
For the pre-training datasets, only the `prompt` column will be used for training.
For the preference datasets, the `response` column should be a string list whose length is 2, with the preferred answers appearing first, for example:
For the **pre-training datasets**, only the `prompt` column will be used for training, for example:
```json
{
"instruction": "user instruction",
"input": "user input",
"output": [
"chosen answer",
"rejected answer"
]
[
{"text": "document"},
{"text": "document"}
]
```
Regarding the above dataset, the description in `dataset_info.json` should be:
```json
"dataset_name": {
"file_name": "data.json",
"columns": {
"prompt": "text"
}
}
```
Remember to set `"ranking": true` for the preference datasets.
For the **preference datasets**, the `response` column should be a string list whose length is 2, with the preferred answers appearing first, for example:
```json
[
{
"instruction": "user instruction",
"input": "user input",
"output": [
"chosen answer",
"rejected answer"
]
}
]
```
Regarding the above dataset, the description in `dataset_info.json` should be:
```json
"dataset_name": {
"file_name": "data.json",
"ranking": true,
"columns": {
"prompt": "instruction",
"query": "input",
"response": "output",
}
}
```
----
The dataset in sharegpt format should follow the below format:
The dataset in **sharegpt** format should follow the below format:
```json
# The first sharegpt format
[
{
"conversations": [
{
"from": "human",
"value": "用户指令"
"value": "user instruction"
},
{
"from": "gpt",
"value": "模型回答"
"value": "model response"
}
],
"system": "系统提示词(选填)",
"tools": "工具描述(选填)"
}
]
# The second sharegpt format
[
{
"type": "chatml",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Tell me something about large language models."
},
{
"role": "assistant",
"content": "Large language models are a type of language model ..."
}
],
"source": "unknown"
"system": "system prompt (optional)",
"tools": "tool description (optional)"
}
]
```
Regarding the above dataset, the `columns` in `dataset_info.json` should be:
Regarding the above dataset, the description in `dataset_info.json` should be:
```json
"dataset_name": {
"file_name": "data.json",
"formatting": "sharegpt",
"columns": {
"messages": "conversations",
"system": "system",
@ -156,4 +167,46 @@ Regarding the above dataset, the `columns` in `dataset_info.json` should be:
where the `messages` column should be a list following the `u/a/u/a/u/a` order.
Pre-training datasets and preference datasets are incompatible with the sharegpt format yet.
We also supports the dataset in the **openai** format:
```json
[
{
"messages": [
{
"role": "system",
"content": "system prompt (optional)"
},
{
"role": "user",
"content": "user instruction"
},
{
"role": "assistant",
"content": "model response"
}
]
}
]
```
Regarding the above dataset, the description in `dataset_info.json` should be:
```json
"dataset_name": {
"file_name": "data.json",
"formatting": "sharegpt",
"columns": {
"messages": "messages"
},
"tags": {
"role_tag": "role",
"content_tag": "content",
"user_tag": "user",
"assistant_tag": "assistant",
"system_tag": "system"
}
}
```
Pre-training datasets and preference datasets are **incompatible** with the sharegpt format yet.