MCP Dataset Onboarding Server

# Dataset Processing Report ## Dataset Information - **Filename**: script_job_3fa182abd7f058b5ed90058cecf5ecb7_1.csv - **Rows**: 1 - **Columns**: 6 - **Processing Date**: 2025-07-26 14:51:44 ## Column Details | Column Name | Data Type | Null Count | Null % | Unique Count | Min Value | Max Value | Mean | |-------------|-----------|------------|--------|--------------|-----------|-----------|------| | precision | float64 | 0 | 0.0% | 1 | 0.6707 | 0.6707 | 0.6707 | | recall | float64 | 0 | 0.0% | 1 | 0.5883 | 0.5883 | 0.5883 | | accuracy | float64 | 0 | 0.0% | 1 | 0.7980 | 0.7980 | 0.7980 | | f1_score | float64 | 0 | 0.0% | 1 | 0.5977 | 0.5977 | 0.5977 | | log_loss | float64 | 0 | 0.0% | 1 | 1.0183 | 1.0183 | 1.0183 | | roc_auc | float64 | 0 | 0.0% | 1 | 0.9389 | 0.9389 | 0.9389 | ## Data Quality Summary - **Total Rules**: 18 - **Error Rules**: 6 - **Warning Rules**: 12 ## Data Quality Rules - 🔴 **NOT_NULL**: Column 'precision' should not contain null values - 🟡 **UNIQUE**: Column 'precision' should contain unique values - 🟡 **RANGE**: Column 'precision' values should be between 0.6706848862094611 and 0.6706848862094611 - 🔴 **NOT_NULL**: Column 'recall' should not contain null values - 🟡 **UNIQUE**: Column 'recall' should contain unique values - 🟡 **RANGE**: Column 'recall' values should be between 0.5883348859492953 and 0.5883348859492953 - 🔴 **NOT_NULL**: Column 'accuracy' should not contain null values - 🟡 **UNIQUE**: Column 'accuracy' should contain unique values - 🟡 **RANGE**: Column 'accuracy' values should be between 0.7979704526634372 and 0.7979704526634372 - 🔴 **NOT_NULL**: Column 'f1_score' should not contain null values - 🟡 **UNIQUE**: Column 'f1_score' should contain unique values - 🟡 **RANGE**: Column 'f1_score' values should be between 0.5977163580794566 and 0.5977163580794566 - 🔴 **NOT_NULL**: Column 'log_loss' should not contain null values - 🟡 **UNIQUE**: Column 'log_loss' should contain unique values - 🟡 **RANGE**: Column 'log_loss' values should be between 1.018343291384798 and 1.018343291384798 - 🔴 **NOT_NULL**: Column 'roc_auc' should not contain null values - 🟡 **UNIQUE**: Column 'roc_auc' should contain unique values - 🟡 **RANGE**: Column 'roc_auc' values should be between 0.9388905094905096 and 0.9388905094905096 ## Column Quality Metrics - **precision**: 100.0% complete, 100.0% unique - **recall**: 100.0% complete, 100.0% unique - **accuracy**: 100.0% complete, 100.0% unique - **f1_score**: 100.0% complete, 100.0% unique - **log_loss**: 100.0% complete, 100.0% unique - **roc_auc**: 100.0% complete, 100.0% unique ## Files Generated - `script_job_3fa182abd7f058b5ed90058cecf5ecb7_1.csv` - Original dataset - `script_job_3fa182abd7f058b5ed90058cecf5ecb7_1_metadata.json` - Detailed metadata - `script_job_3fa182abd7f058b5ed90058cecf5ecb7_1_contract.xlsx` - Data contract with schema and DQ rules - `script_job_3fa182abd7f058b5ed90058cecf5ecb7_1_dq_report.json` - Comprehensive data quality report - `README.md` - This summary document ## Usage This dataset has been processed through the MCP Dataset Onboarding pipeline. All artifacts are ready for catalog publication or further analysis.