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OpenCompass Hub
tiny_qa_benchmark_pp
TinyQA is a benchmark suite designed to evaluate the reasoning abilities of large language models (LLMs). It focuses on assessing LLMs through natural language question-answer pairs, covering various types of reasoning tasks such as causal, logical, and commonsense reasoning.
Evaluation context and evidence
- Source
- OpenCompass Hub
- Publisher
- Comet ML
- Benchmark release
- 2025-05-17
- Collected
- 2026-08-18
- Modality
- Not recorded
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Original sources
Reported results 0
This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.