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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

KeyFunctionalAnomalies

tags: Anomaly Detection, Transformation Data, Integrator Function

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'KeyFunctionalAnomalies' dataset is designed to support machine learning practitioners in the development of anomaly detection systems, with a focus on identifying irregularities within functional keys during data transformation and integration processes. Each record contains details about key-related anomalies detected during the transformation of data by an integrator function. The dataset is intended for researchers and engineers working on maintaining data quality and integrity in the field of data science.

CSV Content Preview:

RecordID,Timestamp,KeyName,KeyValue,TransformType,IntegratorFunction,AnomalyType,Labels
1,2023-01-01T08:30:00,KF-123,ABC-456,Normalization,Integrator-X,Type-I,Anomaly: Key Value Deviation
2,2023-01-01T09:45:00,KF-124,DEF-789,Normalization,Integrator-Y,Type-II,Anomaly: Integrator Misalignment
3,2023-01-02T10:15:00,KF-125,GHI-012,Standardization,Integrator-Z,Type-I,Anomaly: Value Outlier
4,2023-01-02T11:00:00,KF-126,JKL-345,Normalization,Integrator-X,Type-II,Anomaly: Function Misconfiguration
5,2023-01-02T12:30:00,KF-127,MNO-678,Standardization,Integrator-Y,Type-I,Anomaly: Key Format Inconsistency

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'KEY Transform Integrator Key Funktion':