Documentation on how to train with other datasets
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Description
Hi,
all the examples on how to train use the data/dummy_conversation.json as input.
I have absolutely no clue how to massage any dataset I see in huggingface in order for FastChat to digest it.
How to get those parquet or jsonl files and get them in a way that FastChat can use them? Or examples with real datasets?
Thanks!
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- Read the whole issue, then the project's contributing guide.
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Research direction
Start with the training examples that use data/dummy_conversation.json and compare their expected input with the parquet or jsonl datasets mentioned in the issue. Document how to obtain and prepare a Hugging Face dataset for FastChat, including at least one real dataset example and a clear description of the expected result.
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Assessment
- Tech stack
- huggingface, python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100