task_categories:question-answering language:en license:mit size_categories:1K<n<10K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us code
---
dataset_info:
  features:
  - name: human
    dtype: string
  - name: assistant
    dtype: string
  splits:
  - name: train
    num_bytes: 3713782
    num_examples: 1453
  download_size: 1709327
  dataset_size: 3713782
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- question-answering
language:
- en
tags:
- code
pretty_name: Laravel 11 Documentation Q&A (Long Form)
size_categories:
- 1K<n<10K
---
# Dataset Card for Laravel 11 Documentation Q&A (Long Form)

This dataset contains detailed question-answer pairs derived from the Laravel 11 official documentation, designed for fine-tuning and evaluating language models on Laravel 11 knowledge. The long-form version provides more comprehensive answers and includes code examples.

## Dataset Details

### Dataset Description

The Laravel 11 Documentation Q&A (Long Form) dataset is an extensive collection of question-answer pairs generated from the official Laravel 11 documentation. It is intended to serve as a comprehensive resource for testing fine-tuning methods and evaluating different Language Models (LLMs) on Laravel 11 knowledge. The dataset can also be used to create a robust Laravel 11 assistant with in-depth explanations and code examples.

- **Curated by:** Ryan Yannelli
- **Language(s) (NLP):** English
- **License:** MIT

### Dataset Sources

- **Repository:** https://huggingface.co/datasets/yannelli/laravel-11-qa-long-form
- **Original Documentation:** https://github.com/laravel/docs/tree/11.x

## Uses

### Direct Use

This dataset is suitable for:
1. Fine-tuning language models on Laravel 11 documentation with detailed explanations and code examples.
2. Evaluating the performance of LLMs on Laravel 11 knowledge, including their ability to provide comprehensive answers.
3. Creating a specialized Laravel 11 assistant or question-answering system with in-depth responses.
4. Enhancing developer tools and documentation interfaces for Laravel 11 with detailed explanations.
5. Creating interactive web-based Laravel documentation search tools that provide comprehensive answers.
6. Training models to generate Laravel code snippets based on natural language descriptions.
7. Developing educational resources for Laravel 11, including tutorials and interactive learning materials.

### Out-of-Scope Use

This dataset should not be used for:
1. Training general-purpose language models unrelated to Laravel or web development.
2. Making decisions about Laravel features or functionality without referring to the official documentation.
3. Generating or modifying Laravel code without proper validation and testing.
4. Replacing official Laravel documentation or professional advice.
5. Training models for non-Laravel PHP frameworks or other programming languages.

## Dataset Structure

The dataset consists of two main fields:
1. `human`: Contains detailed questions about Laravel 11, often including context or specific use cases.
2. `assistant`: Contains comprehensive answers to the questions, including explanations, best practices, and code examples where applicable.

The dataset has 1,453 examples in the training split, with each example containing more detailed information compared to the standard version.

## Dataset Creation

### Curation Rationale

The long-form dataset was created to provide a more comprehensive resource for testing fine-tuning methods and evaluating different LLMs on Laravel 11 knowledge. It aims to capture nuanced explanations, best practices, and practical code examples that are essential for understanding Laravel 11 in-depth.

### Source Data

#### Data Collection and Processing

The dataset was created using Laravel 11's official documentation, which is up to date as of October 1st, 2024. The questions and answers were generated using a series of advanced language models from OpenAI and Anthropic, with a focus on producing detailed explanations and relevant code examples. The process involved:

1. Extracting key concepts and topics from the Laravel 11 documentation.
2. Generating comprehensive questions that cover various aspects of each topic.
3. Producing detailed answers that include explanations, best practices, and code examples.
4. Reviewing and refining the generated content to ensure accuracy and relevance.

#### Who are the source data producers?

The original documentation was produced by the Laravel team and contributors. The detailed question-answer pairs were generated using advanced AI models from OpenAI and Anthropic, based on the official documentation. The generated content was then reviewed and refined to ensure quality and accuracy.

## Bias, Risks, and Limitations

- While more comprehensive, the dataset is still limited to the scope of Laravel 11 documentation and may not cover all possible use cases or edge cases.
- The quality of the generated questions and answers depends on the performance of the AI models used to create them, though efforts have been made to ensure accuracy and relevance.
- The dataset may inherit biases present in the original documentation or the AI models used for generation.
- As the dataset is based on documentation as of October 1st, 2024, it may not reflect any changes or updates to Laravel 11 after this date.
- Although the dataset provides more detailed explanations and code examples, it is still machine-generated and may occasionally lack the nuanced understanding of a human expert.
- The dataset inherits the biases of both the AI models used and the original documentation, which may prioritize certain Laravel features or best practices that do not align with all development workflows.
- The inclusion of code examples, while beneficial, may lead to users copy-pasting code without fully understanding its implications or adapting it to their specific use case.

### Recommendations

- Users should verify important information against the official Laravel documentation, especially for critical or security-related topics.
- The dataset should be used as a supplementary resource and not as a replacement for official documentation or professional advice.
- Regular updates to the dataset are recommended to keep it in sync with the latest Laravel 11 documentation.
- When using code examples from the dataset, developers should thoroughly understand and test the code before implementing it in production environments.
- Users should be aware that best practices and recommended approaches may evolve over time, and should cross-reference with current community standards.

### Disclaimer

This dataset is provided "as-is" without any warranties, express or implied. The creators and contributors of this dataset make no representations or warranties of any kind concerning the dataset, express, implied, statutory or otherwise, including without limitation warranties of title, merchantability, fitness for a particular purpose, non-infringement, or the absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not discoverable, all to the greatest extent permissible under applicable law.

## Dataset Card Authors

Ryan Yannelli

## Dataset Card Contact

For general inquiries about this dataset, please contact Ryan Yannelli at ryanyannelli@gmail.com

## Citation

If you use this dataset, *optionally* cite it as follows:

Ryan Yannelli, Laravel 11 Documentation Q&A (Long Form), Hugging Face, 2024, https://huggingface.co/datasets/yannelli/laravel-11-qa-long-form