* feat: update doc contents * chore: move batch vs ga docs * feat: update lambdalabs instructions * fix: refactor dev instructions
64 lines
2.0 KiB
Plaintext
64 lines
2.0 KiB
Plaintext
---
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title: Conversation
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description: Conversation format for supervised fine-tuning.
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order: 3
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---
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## sharegpt
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conversations where `from` is `human`/`gpt`. (optional: first row with role `system` to override default system prompt)
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```{.json filename="data.jsonl"}
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{"conversations": [{"from": "...", "value": "..."}]}
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```
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Note: `type: sharegpt` opens special configs:
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- `conversation`: enables conversions to many Conversation types. Refer to the 'name' [here](https://github.com/lm-sys/FastChat/blob/main/fastchat/conversation.py) for options.
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- `roles`: allows you to specify the roles for input and output. This is useful for datasets with custom roles such as `tool` etc to support masking.
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- `field_human`: specify the key to use instead of `human` in the conversation.
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- `field_model`: specify the key to use instead of `gpt` in the conversation.
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```yaml
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datasets:
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path: ...
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type: sharegpt
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conversation: # Options (see Conversation 'name'): https://github.com/lm-sys/FastChat/blob/main/fastchat/conversation.py
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field_human: # Optional[str]. Human key to use for conversation.
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field_model: # Optional[str]. Assistant key to use for conversation.
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# Add additional keys from your dataset as input or output roles
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roles:
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input: # Optional[List[str]]. These will be masked based on train_on_input
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output: # Optional[List[str]].
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```
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## pygmalion
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```{.json filename="data.jsonl"}
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{"conversations": [{"role": "...", "value": "..."}]}
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```
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## sharegpt.load_role
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conversations where `role` is used instead of `from`
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```{.json filename="data.jsonl"}
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{"conversations": [{"role": "...", "value": "..."}]}
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```
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## sharegpt.load_guanaco
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conversations where `from` is `prompter` `assistant` instead of default sharegpt
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```{.json filename="data.jsonl"}
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{"conversations": [{"from": "...", "value": "..."}]}
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```
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## sharegpt_jokes
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creates a chat where bot is asked to tell a joke, then explain why the joke is funny
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```{.json filename="data.jsonl"}
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{"conversations": [{"title": "...", "text": "...", "explanation": "..."}]}
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```
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