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feat: refine prompt (#760)

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* style: Simplify language and improve clarity in prompts and share.yaml

* style: Update prompt wording for clarity in raw_data_loader

* style: Simplify conditional logic in task_gen system prompt

* refactor: Update prompts and proposal for component output format handling

* fix: Correct grammar and add clarification in prompts.yaml

* feat: Include coding guidelines in data science component prompts

* lint
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you-n-g
2025-04-16 09:35:30 +08:00
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parent b18ed7ce27
commit e05a645ad4
9 changed files with 34 additions and 78 deletions
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rdagent/components/coder/data_science/feature/prompts.yaml
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@@ -48,6 +48,10 @@ feature_coder:
from joblib import Memory
memory = Memory(location='/tmp/cache', verbose=0)
@memory.cache```
6. Coding tricks:
- If the input consists of a batch of file paths and you need to modify the file contents to complete your feature engineering task, you can accomplish your feature engineering task by modifying these files and creating new files in a subfolder within "/tmp/cache" (this path is persistent, otherwise you may lose your created file). Then the new file paths are returned.
{% include "scenarios.data_science.share:guidelines.coding" %}
## Output Format
{% if out_spec %}