forked from p04798526/LLaMA-Factory-Mirror
added the second sharegpt format
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@ -94,20 +94,44 @@ Remember to set `"ranking": true` for the preference datasets.
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The dataset in sharegpt format should follow the below format:
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```json
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# The first sharegpt format
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[
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{
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"conversations": [
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{
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"from": "human",
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"value": "user instruction"
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"value": "用户指令"
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},
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{
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"from": "gpt",
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"value": "model response"
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"value": "模型回答"
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}
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],
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"system": "system prompt (optional)",
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"tools": "tool description (optional)"
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"system": "系统提示词(选填)",
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"tools": "工具描述(选填)"
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}
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]
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# The second sharegpt format
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[
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{
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"type": "chatml",
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"messages": [
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{
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"role": "system",
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"content": "You are a helpful assistant."
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},
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{
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"role": "user",
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"content": "Tell me something about large language models."
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},
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{
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"role": "assistant",
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"content": "Large language models are a type of language model ..."
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}
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],
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"source": "unknown"
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}
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]
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```
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@ -37,7 +37,7 @@
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----
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该项目目前支持两种格式的数据集:**alpaca** 和 **sharegpt**,其中 alpaca 格式的数据集按照以下方式组织:
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该项目目前支持三种格式的数据集:**alpaca** 和 **sharegpt**,其中 alpaca 格式的数据集按照以下方式组织:
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```json
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[
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@ -94,6 +94,7 @@
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而 sharegpt 格式的数据集按照以下方式组织:
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```json
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# 第一种sharegpt格式
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[
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{
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"conversations": [
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@ -110,6 +111,29 @@
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"tools": "工具描述(选填)"
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}
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]
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# 第二种sharegpt格式
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[
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{
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"type": "chatml",
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"messages": [
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{
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"role": "system",
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"content": "You are a helpful assistant."
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},
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{
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"role": "user",
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"content": "Tell me something about large language models."
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},
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{
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"role": "assistant",
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"content": "Large language models are a type of language model ..."
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}
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],
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"source": "unknown"
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}
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]
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```
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对于上述格式的数据,`dataset_info.json` 中的 `columns` 应为:
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