Comments (1)
I dont think there is an easy way to identify the code in the 'input' field. The reason for this is because the input field represents the user's input, and they are likely not going to embed code with triple backticks.
Perhaps you could use some type of regular expression to detect code?
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Related Issues (20)
- overall approach
- Incorrect key string in alpaca_data_cleaned.json
- Idea about better cleaning HOT 3
- Correct or potentially to be cleaned? HOT 6
- How are you going about cleaning? HOT 4
- Separate instructions by functionality
- What about starting a crowdfunding campaign to collect money to run the examples against GPT-4? HOT 5
- Diffs as data HOT 1
- Evaluation Metric HOT 8
- good job HOT 1
- Contributing to the dataset curation with Argilla and the Alpaca Garbage collector HOT 2
- Is there a boost in performance for full fine-tuning versus LoRA? HOT 2
- Command to run the evaluation
- PIQA dataset's metric
- Is the "alpaca_data_cleaned_archive.json" file having all cleaned data? HOT 2
- The MNLI score in lm-evaluation-harness
- Where is the 9k cleaned alpaca data in the paper Alpagasus? HOT 2
- How to format dataset fields in model prompt? HOT 1
- Chinese sft data
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