| --- |
| license: apache-2.0 |
| language: |
| - en |
| pretty_name: Agent Reliability Traces |
| size_categories: |
| - n<1K |
| task_categories: |
| - text-classification |
| tags: |
| - agents |
| - agent-evaluation |
| - reliability |
| - ai-safety |
| - responsible-ai |
| - synthetic |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train.jsonl |
| --- |
| |
| # Agent Reliability Traces |
|
|
| A small synthetic dataset of observable AI agent execution traces annotated with reliability and failure-mode signals. |
|
|
| The dataset accompanies the **Agent Reliability Lab** Hugging Face Space. |
|
|
| ## Dataset purpose |
|
|
| The dataset is designed for: |
|
|
| - prototyping agent-trace evaluation |
| - testing deterministic reliability heuristics |
| - experimenting with failure-mode classification |
| - evaluating tool-use trajectories |
| - educational and portfolio use |
|
|
| It is not intended as a production benchmark. |
|
|
| ## Structure |
|
|
| Each record contains: |
|
|
| | Field | Description | |
| | --- | --- | |
| | id | Unique trace identifier | |
| | goal | Task assigned to the agent | |
| | trace | Observable execution trace | |
| | risk_label | Coarse reliability-risk label | |
| | failure_mode | Primary detected failure mode | |
| | has_verification | Whether explicit verification is present | |
| | has_tool_failure | Whether tool execution failures are present | |
| | has_loop | Whether repeated tool behaviour is present | |
| | has_final_answer | Whether an explicit final answer is present | |
| | contains_overconfidence | Whether overconfident language is present | |
| | notes | Annotation explanation | |
| |
| ## Risk labels |
| |
| Current labels include: |
| |
| - low |
| - moderate |
| - elevated |
| - high |
| |
| ## Failure modes |
| |
| Examples include: |
| |
| - none |
| - tool_failure |
| - loop_and_tool_failure |
| - missing_verification |
| - unsupported_answer |
| - missing_final_answer |
| - overconfidence |
| |
| ## Data creation |
| |
| All examples are synthetic and manually constructed for this project. |
| |
| They are not production traces and do not contain hidden chain-of-thought. |
| |
| The dataset includes only observable execution-style events such as plans, tool calls, observations, errors and final answers. |
| |
| ## Intended use |
| |
| This dataset can be used to explore: |
| |
| - agent reliability analysis |
| - failure-mode detection |
| - trace classification |
| - tool-use evaluation |
| - verification behaviour |
| - loop detection |
| - structured agent monitoring |
| |
| ## Relationship to Agent Reliability Lab |
| |
| The associated Agent Reliability Lab uses deterministic heuristics to analyze observable execution traces. |
| |
| This dataset provides controlled examples that can be used to test and extend that approach. |
| |
| ## Limitations |
| |
| The dataset is deliberately small and synthetic. |
| |
| The annotations should not be treated as authoritative measures of agent safety or correctness. |
| |
| The current traces use a simplified human-readable format and do not represent the event schemas of specific agent frameworks. |
| |
| ## Future work |
| |
| Potential extensions include: |
| |
| - larger trace collections |
| - structured JSON trajectories |
| - LangGraph traces |
| - tool-call graphs |
| - multi-agent interactions |
| - human annotations |
| - learned failure-mode classifiers |
| - independently collected evaluation traces |
| |
| ## License |
| |
| Apache-2.0 |
| |
