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nimbliquestudio/synthetic-schema-drift-regression-preview

Synthetic Schema Drift Regression Preview Three deliberately small, synthetic cases for testing how a schema-change review or regression gate handles common contract changes: a removed required field; a field type change; and a moved nested field. Every record is fictional and marked synthetic: true. This preview contains no customer data, credentials, production API response, web extraction, or paid-product file. Contents schema-drift-preview.jsonl contains one… See the full description on the dataset page: https://huggingface.co/datasets/nimbliquestudio/synthetic-schema-drift-regression-preview.

sourceHugging Facecc0-1.0updated 20d agoView on Hugging Face
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Synthetic Schema Drift Regression Preview

Three deliberately small, synthetic cases for testing how a schema-change review or regression gate handles common contract changes:

  • —a removed required field;
  • —a field type change; and
  • —a moved nested field.

Every record is fictional and marked synthetic: true. This preview contains no customer data, credentials, production API response, web extraction, or paid-product file.

Contents

schema-drift-preview.jsonl contains one JSON object per case. Each object has a baseline_schema, candidate_schema, expected_result, and a concise rationale. It is designed for local test fixtures, examples, and evaluation scaffolding—not for production compatibility decisions by itself.

Limitations

  • —The three cases are illustrative, not a complete schema-drift taxonomy.
  • —No real API, dataset, or service is represented.
  • —Consumers remain responsible for their own compatibility policy, test coverage, deployment checks, and source-right review.
  • —This is not a hosted API, monitoring service, security assurance, or guarantee that all breaking changes will be detected.

Related paid developer tool

For a self-hosted Node.js tool that compares bounded dataset snapshots for row, field, type, and schema drift, see the Dataset Diff and Schema Drift API.

Release checklist

This local package is prepared for a future Hugging Face dataset repository. Before publishing: verify the NimbliqueStudio organization, choose a public repository name, upload these exact files without modification, confirm the generated public URL while signed out, record that URL in nimblique-marketing-channels.md, and then log the first promotion in publication-log.csv.