Generate a Parquet file for dataset validation
Train a model using custom data
Manage and analyze labeled datasets
Manage and label data for machine learning projects
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Build datasets and workflows using AI models
Manage and label datasets for your projects
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Submit is a tool designed for dataset creation and validation. It allows users to generate Parquet files, which are essential for ensuring data integrity and consistency in various data processing and machine learning pipelines. The tool is particularly useful for teams working with large datasets who need to validate their data efficiently.
• Parquet File Generation: Create high-quality Parquet files for dataset validation.
• Data Ingestion: Support for multiple input data formats, including CSV, JSON, and more.
• Validation Rules: Apply custom validation rules to ensure data correctness.
• Scalability: Designed to handle large-scale datasets with ease.
• User-Friendly Interface: Simple CLI and API for seamless integration into your workflow.
What is the primary purpose of Submit?
Submit is primarily used to generate Parquet files for dataset validation, ensuring your data meets specified criteria before use in processing or analysis.
What file formats does Submit support?
Submit supports various input formats, including CSV, JSON, and others, allowing flexibility in data ingestion.
How do I handle validation errors?
If validation fails, Submit provides detailed error reports. You can fix the issues in your input data and rerun the tool to regenerate the Parquet file.