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FrostyJay7813/aif-evaluations
aif-evaluations is a machine learning model from FrostyJay7813. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
14-dimension agent evaluation datasets with historical trends, regression detection, and quality scoring.
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Updated Jul 20, 2026
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From the Hugging Face model README
14-dimension agent evaluation datasets with historical trends, regression detection, and quality scoring.
| # | Dimension | Description |
|---|---|---|
| 1 | Accuracy | Task completion correctness |
| 2 | Efficiency | Token usage and time optimization |
| 3 | Safety | Content filtering and constraint adherence |
| 4 | Reliability | Consistency across repeated runs |
| 5 | Adaptability | Performance on novel tasks |
| 6 | Explainability | Decision transparency |
| 7 | Robustness | Graceful error handling |
| 8 | Latency | Response time compliance |
| 9 | Cost | Budget adherence |
| 10 | Compliance | Policy and governance adherence |
| 11 | Collaboration | Multi-agent coordination quality |
| 12 | Creativity | Novel solution generation |
| 13 | Memory | Context retention and recall |
| 14 | Learning | Improvement over time |
from datasets import load_dataset
ds = load_dataset("FrostyJay7813/aif-evaluations")