| cff-version: 1.2.0 |
| message: "If you use this benchmark, please cite it as below." |
| title: "mssense Evaluation Benchmark for Closed-Vocabulary Action Trace Generation" |
| version: "1.1-eval" |
| date-released: "2026-07-01" |
| license: CC-BY-4.0 |
| type: dataset |
| authors: |
| - family-names: "Yahaya Alassan" |
| given-names: "Mahaman Sanoussi" |
| affiliation: "Novelis, Paris, France" |
| - family-names: "Ettifouri" |
| given-names: "El Hassane" |
| affiliation: "Novelis, Paris, France" |
| - family-names: "Dahhane" |
| given-names: "Walid" |
| affiliation: "Novelis, Paris, France" |
| keywords: |
| - "Robotic Process Automation" |
| - "Domain-Specific Languages" |
| - "Structured Generation" |
| - "Closed-Vocabulary Generation" |
| - "Benchmark" |
| abstract: >- |
| An evaluation-only benchmark (1865 samples, 9 task families) for |
| closed-vocabulary action trace generation in conversational RPA authoring: |
| clarification policy, LAT audit, semantic judgment, workflow creation, |
| business-rule extraction, visual grounding/governance and modification intent. |
| doi: 10.5281/zenodo.21105006 |
| identifiers: |
| - type: doi |
| value: 10.5281/zenodo.21105006 |
| description: "Zenodo record for this release" |
|
|
