This folder contains processed/intermediate data and/or artifacts produced by pipelines (for example: clean datasets, features, aggregates, intermediate tables, or transformation outputs).
- Main purpose: clearly separate “raw” data from data ready for analysis, modeling, or app consumption.
- Recommendation: document which pipeline produces each artifact, its schema, refresh cadence, and how quality is validated (checks, constraints, data tests).
Spanish version: README.es.md.