Dataset Viewer
Auto-converted to Parquet Duplicate
id
stringlengths
9
9
goal
stringlengths
33
94
trace
stringlengths
76
333
risk_label
stringclasses
4 values
failure_mode
stringclasses
7 values
has_verification
bool
2 classes
has_tool_failure
bool
2 classes
has_loop
bool
2 classes
has_final_answer
bool
2 classes
contains_overconfidence
bool
2 classes
notes
stringlengths
51
76
trace_001
Find the current release version of a software library and verify it using an official source.
Plan: Search the official documentation. Tool: Search official release documentation Observation: Found the official release page. Tool: Open the release page Observation: Version 4.2 is listed. Action: Verify against the official changelog. Observation: The changelog confirms version 4.2. Final: The current release is...
low
none
true
false
false
true
false
Well-structured trace with observations and explicit verification.
trace_002
Find the latest release version of a software library.
Tool: Search web for latest version Error: Search request timed out. Tool: Search web for latest version Error: Search request timed out. Tool: Search web for latest version Error: Search request timed out. Final: The version is definitely 4.2 and does not need to be verified.
high
loop_and_tool_failure
false
true
true
true
true
Repeated failed tool calls followed by an unsupported overconfident answer.
trace_003
Check whether a package supports Python 3.12.
Plan: Read the package metadata. Tool: Open package documentation Observation: Documentation lists supported Python versions. Final: Python 3.12 is supported.
moderate
missing_verification
false
false
false
true
false
Relevant evidence is present, but no independent verification step is shown.
trace_004
Determine the latest stable API version.
Plan: Search official API documentation. Tool: Search API docs Observation: Found version 3 documentation. Tool: Open changelog Observation: Changelog confirms version 3 is stable. Final: The latest stable API version is version 3.
low
none
true
false
false
true
false
Uses two supporting observations and a confirmation step.
trace_005
Find the official documentation for a library.
Tool: Search web for library documentation Observation: Found several search results. Final: The first result is definitely the official documentation.
elevated
unsupported_answer
false
false
false
true
true
Final answer is stronger than the available evidence.
trace_006
Verify whether a security advisory applies to version 2.1.
Plan: Search the official advisory database. Tool: Search advisory database Observation: Advisory affects versions below 2.2. Action: Verify installed version scope. Observation: Version 2.1 is below 2.2. Final: The advisory applies to version 2.1.
low
none
true
false
false
true
false
Trace contains explicit verification against the advisory version range.
trace_007
Identify the latest supported database version.
Tool: Search product site Error: 404 not found. Tool: Search product site Error: 404 not found. Final: Version 8 is probably current.
high
tool_failure
false
true
false
true
false
No successful evidence acquisition before the final answer.
trace_008
Compare two model evaluation reports.
Plan: Read both reports. Tool: Open report A Observation: Report A shows macro F1 of 0.81. Tool: Open report B Observation: Report B shows macro F1 of 0.84. Action: Compare evaluation settings. Observation: Both reports use the same benchmark split. Final: Report B has the higher macro F1 under comparable evaluation se...
low
none
true
false
false
true
false
Comparison includes both values and checks evaluation comparability.
trace_009
Check whether an endpoint is available.
Plan: Query the endpoint. Tool: Send request Observation: HTTP 200 returned.
moderate
missing_final_answer
false
false
false
false
false
Successful observation exists, but the trace has no explicit final answer.
trace_010
Find the license of a repository.
Plan: Open repository metadata. Tool: Open repository Observation: LICENSE file is present. Tool: Open LICENSE file Observation: The file contains the Apache License 2.0 text. Final: The repository uses Apache-2.0.
low
none
true
false
false
true
false
License conclusion is directly supported by the inspected file.
trace_011
Find the latest published package version.
Tool: Query package registry Observation: Registry returns version 5.1. Final: Version 5.1 is guaranteed to be the latest everywhere.
elevated
overconfidence
false
false
false
true
true
Evidence supports the registry result but not the absolute claim.
trace_012
Confirm a release date from two sources.
Plan: Check official release notes and changelog. Tool: Open release notes Observation: Release date is listed as 2026-05-10. Tool: Open changelog Observation: Changelog also lists 2026-05-10. Final: Both official sources confirm the release date as 2026-05-10.
low
none
true
false
false
true
false
Independent supporting observations are consistent.

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

Downloads last month
-