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metadata
license: cc-by-4.0
language:
  - en
pretty_name: RAG Evaluation Lab Synthetic Evaluation Set
size_categories:
  - n<1K
task_categories:
  - text-classification
tags:
  - synthetic
  - ai-evaluation
  - evaluation
  - text-classification
  - question-answering
  - text-ranking
  - summarization
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.jsonl
      - split: test
        path: data/test.jsonl

RAG Evaluation Lab Synthetic Dataset

Summary

This dataset contains 14 training examples and 4 held-out examples for RAG systems often ship without a stable regression set or failure taxonomy.

Every record is synthetic and includes:

  • input: query, event, or feature description
  • label: expected class, route, relation, or evidence category
  • context: synthetic supporting context
  • source: fictional source identifier
  • variant: generation pattern
  • synthetic: always true

Uses

  • Reproducible unit and integration tests
  • Baseline model training
  • Evaluation harness development
  • Schema and architecture demonstrations

Limitations

Synthetic cases validate the harness, not a production RAG system. Teams must add representative domain examples.

This dataset does not represent real users, patients, customers, production traffic, or licensed media. It must not be presented as real-world evidence.

Related Model

RKB109/rag-evaluation-lab-20260829-model