execution-trace
code-execution-trace-training-pool
Code execution trace training pool
Public Python code paired with one concrete call and the value that call returns. Every value in
this pool was computed by running the code, not copied from a label. The data is laid out twice,
and either layer may be used.
pool/
Every source rewritten into one shape, 2174322 rows over 11 gzipped parts, one JSON object per
line, with these fields.
Field
What it holds
id
a row identifier unique within this pool
code… See the full description on the dataset page: https://huggingface.co/datasets/Emulated-Inc/code-execution-trace-training-pool.or-agent-execution-traces
or-agent-execution-traces
Structured execution traces from the ORForge full-lifecycle OR engineering agent.
Schema
Field
Description
task
BUILD, REVISE, or EXPLAIN
files_opened
Workspace files accessed by the agent
actions
Ordered agent actions with payloads
model_changes
Parameter and model modifications
solver_output
Solver status, objective, variable values
final_result
Task outcome summary
success
Whether the task completed successfully… See the full description on the dataset page: https://huggingface.co/datasets/alirezaaminzadeh/or-agent-execution-traces.python-execution-trace-output-prediction-cmskdimp
Python Execution Trace & Output Prediction
Self-contained Python programs paired with a concrete function call and the exact runtime output. Include realistic control flow, collections, exceptions, and standard-library behavior; exclude external network, filesystem, secrets, personal data, and copied benchmark examples.
About
This dataset was produced by the DataBounty community and published here as part of an open, karma-only program.
Accepted items: 1000… See the full description on the dataset page: https://huggingface.co/datasets/databounty-io/python-execution-trace-output-prediction-cmskdimp.python-mental-execution-traces
Python Mental Execution Traces
A 12,000-row prompt/completion dataset for evaluating and training language models to mentally execute self-contained Python 3 snippets without running them. Completions provide the expected standard output together with a concise variable trace or explanation.
Dataset structure
The JSONL file contains two text fields:
prompt: a Python mental-execution problem.
completion: the expected stdout and concise reasoning or variable trace.… See the full description on the dataset page: https://huggingface.co/datasets/ILoveBuns/python-mental-execution-traces.adaption-python-mental-execution-traces
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
adaption-python_mental_execution_traces
This dataset contains pairs of Python 3 code snippets and their corresponding mental execution results, including exact standard output and concise variable traces. Each sample challenges the model to simulate code logic involving lists, matrices, loops, and conditional statements without actual execution. The completions provide both the final printed… See the full description on the dataset page: https://huggingface.co/datasets/ILoveBuns/adaption-python-mental-execution-traces.han-task-execution-audit-traceability-dataset-v1
Humanoid Task Execution Audit & Traceability Dataset
This dataset records full task execution trails
across distributed humanoid agents.
It includes input triggers, intermediate states,
decision checkpoints, and final outcomes.
Objective
To enable transparent, verifiable,
and auditable task execution
within decentralized humanoid ecosystems.
Data Fields
task_id
initiating_agent
intermediate_decision_nodes
execution_path_hash
resource_usage_profile… See the full description on the dataset page: https://huggingface.co/datasets/achiepatricia/han-task-execution-audit-traceability-dataset-v1.