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Dataset Creation
LLMEval Dataset Parser

LLMEval Dataset Parser

A collection of parsers for LLM benchmark datasets

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What is LLMEval Dataset Parser ?

The LLMEval Dataset Parser is a collection of parsers designed to work with large language model (LLM) benchmark datasets. It provides a standardized way to browse and parse LLM benchmark datasets, making it easier to work with diverse dataset formats and structures.

Features

• Multiple Dataset Support: Handles various benchmark datasets for LLM evaluation.
• Metadata Extraction: Extracts detailed metadata from datasets, including task descriptions and metrics.
• Data Validation: Ensures data integrity by validating dataset structures and formats.
• Versioning Support: Manages different versions of datasets for reproducibility.
• Cross-Platform Compatibility: Works seamlessly across different operating systems and environments.
• User-Friendly Interface: Provides a simple and intuitive CLI for parsing and managing datasets.

How to use LLMEval Dataset Parser ?

  1. Install the Tool: Install the LLMEval Dataset Parser using pip or your preferred package manager.
  2. Parse a Dataset: Use the CLI to parse a dataset by specifying its path or identifier. Example:
    llm-eval parse --dataset [dataset_name] --path [dataset_path]```  
    
  3. Access Parsed Data: Use the parsed dataset in your Python scripts or analysis pipeline. Example:
    from llm_eval import LLM Evaluations  
    dataset = LLM Evaluations.parse(dataset_name)```  
    
  4. Explore and Analyze: Explore the dataset's tasks, metrics, and results for further analysis.
  5. Export Results: Export parsed results in various formats for reporting or sharing.

Frequently Asked Questions

What is the purpose of the LLMEval Dataset Parser?
The LLMEval Dataset Parser simplifies the process of working with LLM benchmark datasets by providing a standardized interface for parsing, validating, and managing datasets.

How do I install the LLMEval Dataset Parser?
You can install it using pip:

pip install llm-eval-parser```  

**Can I use the parser with custom or unsupported datasets?**  
Yes, the parser supports custom datasets. Contact the developers for guidance on integrating unsupported formats.

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