Organic Dataset
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A Organic Dataset is a production dataset that originates directly from real customer usage in live production environments.
- AKA: Organic Data, Real Data, Actual Production Data, Production Customer Dataset, Live Environment Data.
- Context:
- It can typically capture Real-World User Behavior through production systems.
- It can typically provide Authentic Data Patterns for machine learning training tasks.
- It can typically require Privacy Protection Measures before downstream processing tasks.
- It can often serve as Ground Truth Data for model evaluation tasks.
- It can often undergo Data Quality Assessment through data validation systems.
- It can often contain Personally Identifiable Information requiring compliance management.
- It can range from being a Raw Organic Dataset to being a Processed Organic Dataset, depending on its data preprocessing level.
- It can range from being a Small-Scale Organic Dataset to being a Large-Scale Organic Dataset, depending on its data volume.
- It can range from being a Structured Organic Dataset to being an Unstructured Organic Dataset, depending on its data format.
- It can range from being a Real-Time Organic Dataset to being a Batch Organic Dataset, depending on its collection frequency.
- ...
- Examples:
- E-Commerce Transaction Datas, such as:
- Production System Logs, such as:
- Customer Interaction Datas, such as:
- ...
- Counter-Examples:
- Proxy Dataset, which originates from non-production sources.
- Synthetic Dataset, which is artificially generated rather than captured from real usage.
- Test Dataset, which comes from controlled testing environments.
- See: Production Dataset, Real-World Dataset, Customer Dataset, Production Computing System, Data Collection Task, Privacy-Preserving Data Transformation Task, De-identified Organic Dataset, Proxy Dataset, Golden-Organic Dataset.