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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 descriptionlabel: expected class, route, relation, or evidence categorycontext: synthetic supporting contextsource: fictional source identifiervariant: generation patternsynthetic: alwaystrue
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.