Data Conversion & Preparation Portal
Convert formats, clean, label, and export datasets in one workflow.
Import & Data Conversion
Supports structured, semi-structured, and text-based unstructured data.
Transformation Map
The portal normalizes every input into an internal table and can export it back to the target format.
Sample Datasets
Download sample datasets to test conversion, preprocessing, and classification labeling.
Dataset Preprocessing
Clean and transform data before analysis or machine learning.
Class Labeling
Create classification targets from numeric or categorical columns.
Labeling Methods
Binary threshold: values below the threshold become Class_0 and the rest become Class_1.
Quantile: numeric data is automatically divided into 2–10 relatively balanced classes.
Copy category: categorical values in the source column are used directly as classification labels.
Preview & Column Management
Preview up to 50 rows of the current working dataset.
Multi-Format Download
Export datasets that have been converted, cleaned, and labeled.
Activity History
Stored locally in SQLite or session fallback.