Comments (1)
🚀 Here's the PR! #50
dc339794ff
)Actions (click)
- ↻ Restart Sweep
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Step 1: 🔎 Searching
I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.
Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description.
Lines 6 to 112 in c7a522a
Lines 4 to 84 in c7a522a
dspy/dspy/datasets/hotpotqa.py
Lines 6 to 56 in c7a522a
Lines 6 to 30 in c7a522a
dspy/dspy/datasets/__init__.py
Line 1 in c7a522a
Lines 1 to 386 in c7a522a
Step 2: ⌨️ Coding
Create docs/datasets/dataset.md with contents:
• Create a new markdown file named `dataset.md` in the `docs/datasets` directory.
• Start by providing a brief overview of the `dataset.py` file, explaining its purpose and functionality.
• Describe the `Dataset` class, its methods, and their usage. Explain the purpose of each method and how it contributes to the overall functionality of the class.
• Draw from the README.md file to explain the philosophical usage/purpose of the `Dataset` class.
• Include examples of how to use the `Dataset` class. These examples can be drawn from the jupyter notebooks.
Create docs/datasets/gsm8k.md with contents:
• Create a new markdown file named `gsm8k.md` in the `docs/datasets` directory.
• Start by providing a brief overview of the `gsm8k.py` file, explaining its purpose and functionality.
• Describe the `GSM8K` class, its methods, and their usage. Explain the purpose of each method and how it contributes to the overall functionality of the class.
• Draw from the README.md file to explain the philosophical usage/purpose of the `GSM8K` class.
• Include examples of how to use the `GSM8K` class. These examples can be drawn from the jupyter notebooks.
Create docs/datasets/hotpotqa.md with contents:
• Create a new markdown file named `hotpotqa.md` in the `docs/datasets` directory.
• Start by providing a brief overview of the `hotpotqa.py` file, explaining its purpose and functionality.
• Describe the `HotPotQA` class, its methods, and their usage. Explain the purpose of each method and how it contributes to the overall functionality of the class.
• Draw from the README.md file to explain the philosophical usage/purpose of the `HotPotQA` class.
• Include examples of how to use the `HotPotQA` class. These examples can be drawn from the jupyter notebooks.
Create docs/datasets/colors.md with contents:
• Create a new markdown file named `colors.md` in the `docs/datasets` directory.
• Start by providing a brief overview of the `colors.py` file, explaining its purpose and functionality.
• Describe the `Colors` class, its methods, and their usage. Explain the purpose of each method and how it contributes to the overall functionality of the class.
• Draw from the README.md file to explain the philosophical usage/purpose of the `Colors` class.
• Include examples of how to use the `Colors` class. These examples can be drawn from the jupyter notebooks.
Step 3: 🔁 Code Review
I have finished reviewing the code for completeness. I did not find errors for sweep/ensure_datasets_in_the_dspy_folder_has_d
.
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Related Issues (20)
- Addressing Context Length Limitations in DSPy HOT 1
- Sweep: Overhaul Documentation HOT 1
- Sweep: Update cloned documentation from llama-index to document DSPy HOT 1
- Sweep: Ensure `evaluate` in the `dspy/` folder has documentation. HOT 1
- Sweep: Ensure `predict` in the `dspy/` folder has documentation. HOT 1
- Sweep: Ensure `retrieve` in the `dspy/` folder has comprehensive documentation. HOT 1
- Sweep: Ensure `signatures` in the `dspy/` folder has documentation. HOT 1
- Sweep: Update `teleprompt` documentation HOT 1
- Sweep: Add documentation for `Assertions`, in `dspy/assert`. HOT 1
- Sweep: Add docstrings for all classes and functions in `dspy/*` HOT 1
- Sweep: Add useful docstrings for all classes and functions in `dspy/primitives/*.py`. HOT 1
- Sweep: Add docstrings to `signature`. HOT 1
- Sweep: `Signature` prompt skeleton HOT 1
- Sweep: Set up tests for all OpenAI content for a migration to the 1.0 upgrade HOT 1
- Sweep: Set up tests for all OpenAI content for a migration to the 1.0 upgrade HOT 1
- Sweep: Fix the Documentation links. Yeah
- Sweep: Test
- Sweep: Test
- Sweep: Make the getting_started portion of documentation more organized HOT 1
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