ProcessTBench Dataset Overview

Dataset Content

Generated Plans and Variants

• Description: Contains various plans to address the problem objectives in each process ID.
• Generation Method: Produced using generate_plans_and_variants.py.

Paraphrased Queries

• Description: Queries paraphrased from the TaskBench dataset.
• Generation Method: Produced using paraphrase_queries.py.
• Source: TaskBench dataset (https://github.com/microsoft/JARVIS/tree/main/taskbench).

Process Models

• Description: Process models of the generated plans.
• Generation Method: Created with the Inductive Miner at thresholds 0, 0.1, and 0.2.
• Additional Information: Convert the reference DAG of a query to a Petri net; example generation code is in dag_to_petri_net_results.py.

Conformance Quality

• Description: Results of conformance checks evaluating the quality of paraphrased queries.
• Generation Method: Produced using generate_plans_conformance_quality_rephrased.py and generate_plans_conformance_quality_original.py.

TaskBench Data

• Files:
  • taskbench_multimedia.json
  • taskbench_multimedia_dag.json
  • taskbench_multimedia_dag_partitioned.json (multi‑process partitioning)
  • tool_desc_multimedia.json

Additional Files

• Tools and Models:
  • utils.py
  • my_model.py (embedding and LLM model configuration)
  • readme.md
  • requirements.txt