empty_formatter

What problem does it solve?

The empty_formatter Skill solves the need for generating empty datasets for testing or initializing purposes. It simplifies the process of creating blank data with customizable length and structure.

Core Features & Use Cases

• Create Empty Datasets: Generate datasets with a specified number of rows and field names.
• Customizable Length: Specify the desired length of the empty dataset.
• Flexible Feature Keys: Define the structure of the empty dataset with a list of field names.
• Use Case: Ideal for data scientists and machine learning engineers who require synthetic, empty datasets to simulate data pipelines or test model performance.

Quick Start

Generate an empty dataset with 10 rows and no fields: python scripts/run_empty_formatter.py --output_path /path/to/output.jsonl --length 10