| --- |
| license: apache-2.0 |
| language: en |
| tags: |
| - agentic-ai |
| - evaluation |
| - scoring |
| - regression |
| - quality |
| pretty_name: AIF Evaluations |
| size_categories: n<1K |
| --- |
| |
| # AIF Evaluations |
|
|
| 14-dimension agent evaluation datasets with historical trends, regression detection, and quality scoring. |
|
|
| ## Evaluation Dimensions |
|
|
| | # | 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 | |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("FrostyJay7813/aif-evaluations") |
| ``` |
|
|
