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README.md

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 ---
 license: cc-by-4.0
+pretty_name: mssense Evaluation Benchmark — Closed-Vocabulary Action Trace Generation
+language:
+- en
+- fr
+task_categories:
+- text-generation
+- text2text-generation
+tags:
+- rpa
+- robotic-process-automation
+- action-trace
+- closed-vocabulary
+- structured-generation
+- workflow
+- benchmark
+- evaluation
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: default
+  data_files:
+  - split: test
+    path: data/mssense_eval_benchmark_v1_1.jsonl
 ---
+
+# mssense Evaluation Benchmark — Closed-Vocabulary Action Trace Generation
+
+> **Canonical version / DOI:** archived on Zenodo at
+> **https://doi.org/10.5281/zenodo.21105006** (CC-BY-4.0). This Hugging Face
+> repository is a distribution mirror — please **cite the Zenodo DOI**.
+
+An **evaluation-only** benchmark for closed-vocabulary action trace generation in
+conversational Robotic Process Automation (RPA) authoring. Each sample pairs a
+conversational request with the oracle labels needed to judge whether a generated
+action trace is *executable* against a closed, typed, channel-specific action
+catalogue — not merely schema-valid.
+
+- **Version:** 1.1-eval
+- **Samples:** 1865 (1772 seeds + 93 deterministic paraphrastic variants)
+- **Task families (9):** clarification policy, LAT audit, semantic judgment,
+  workflow creation, business-rule extraction, visual grounding / governance,
+  modification intent, audit, interaction regression
+- **Split:** none — the full file is the evaluation suite
+- **License:** Creative Commons Attribution 4.0 International (CC-BY-4.0)
+
+## Terminology
+
+A few names in this benchmark are specific to the platform it originates from.
+They are kept verbatim because they are used throughout the samples and schema
+(for example, in `sample_id` prefixes and `iris_*` field names) and changing them
+would break reproducibility and the dataset's published identity. The acronyms
+are platform-specific; the problems they instantiate are general and
+platform-independent.
+
+| Term | Meaning (community-standard concept) |
+|---|---|
+| **action trace** | an ordered sequence of typed, executable actions — the durable artefact the system must produce |
+| **LAT** (*LeBrain Action Trace*) | the platform-specific instance of an action trace used in this benchmark; a list of typed steps. The field `lat_candidate` holds the candidate trace under analysis |
+| **mssense** | the conversational intent-understanding and workflow-validation component evaluated by this benchmark (the *system under test*); also the benchmark's name |
+| **LeBrain** | the automation / intelligence platform (Novelis) that connects applications and automates business processes; it defines the closed action catalogue and executes the traces |
+| **IRIS** | LeBrain's Computer Use Agent; the `iris_*` fields (e.g., `iris_control_type`) describe executable UI steps targeted at IRIS |
+| **Intentia** | the 2026 research programme of the Novelis R&D laboratory, within which `mssense` is developed |
+| **channel** | an action category / connector — web, desktop, spreadsheet, email, database, API, file, control-flow |
+| **oracle** | the per-sample ground-truth block (`expected_decision`, `expected_issue_types`, `required_checks`) used for scoring |
+
+## Contents
+
+```
+data/mssense_eval_benchmark_v1_1.jsonl     the benchmark (one JSON object per line)
+schema/evaluation_sample.v1_1.schema.json  JSON Schema for a sample
+docs/datasheet.md                          Datasheet for Datasets (Gebru et al., 2018)
+docs/dataset_card.md                       dataset card
+docs/evaluation_protocol.md                metrics, splits, scoring conventions
+docs/related_benchmarks_comparison.md      property-by-property comparison of 16 public benchmarks
+docs/why_new_benchmark.md                  one-page gap analysis
+docs/statistical_power_analysis.md         a priori power analysis per research question
+docs/inter_annotator_agreement.md          IAA disclosure and v1.2 roadmap
+reports/CHANGELOG_v1.0_to_v1.1.md          changes from v1.0 to v1.1
+LICENSE-DATA                               CC-BY-4.0
+CITATION.cff                               citation metadata
+SHA256SUMS.txt                             integrity checksums
+```
+
+Verify integrity with `sha256sum -c SHA256SUMS.txt` (or `certutil -hashfile <file> SHA256` on Windows).
+
+## Sample format
+
+One JSON object per line. Key fields include `sample_id`, `task_family`,
+`channel_family`, `input_modality`, `difficulty`, `user_intent`, `input_payload`,
+`lat_candidate`, `expected_decision`, `expected_issue_types`, `business_rules`,
+and an `oracle` object with `required_checks`. See
+`schema/evaluation_sample.v1_1.schema.json` and `docs/datasheet.md` for the full
+specification.
+
+The issue-type vocabulary is the platform's canonical set:
+`MISSING_VALUE`, `UNRESOLVED_VARIABLE`, `AMBIGUOUS_SELECTOR`,
+`MISSING_PRECONDITION`, `INCONSISTENT_FLOW`.
+
+```python
+import json
+samples = [json.loads(l) for l in open("data/mssense_eval_benchmark_v1_1.jsonl", encoding="utf-8")]
+print(len(samples), "samples")
+```
+
+## Provenance and license
+
+The released benchmark comprises internally-authored audit, validation, and
+generation cases, licensed under **CC-BY-4.0**. A WONDERBREAD-derived sub-corpus
+is prepared in the release tree under a forward-looking attribution clause and is
+**not** included in this v1.1 evaluation file pending adjudication; the clause
+takes effect on its first integrated release. Full provenance is documented in
+`docs/datasheet.md`.
+
+**Privacy and sanitization.** This public release is privacy-sanitized: internal
+authoring paths in the `input_payload.source_file` field were reduced to file
+basenames, and incidental personal data that appeared as example form-fill values
+in a few interaction scenarios were replaced with synthetic values. These are
+metadata and scenario-input fields only; no oracle label (`expected_decision`,
+`expected_issue_types`, `oracle`) was modified, so the evaluation is unaffected.
+
+## Associated publication
+
+This benchmark supports the manuscript *Closed-Vocabulary Action Trace Generation
+for Conversational RPA Authoring* (Yahaya Alassan, Ettifouri, Dahhane; Novelis),
+submitted to the *Journal of Object Technology*.
+
+## Citation
+
+Dataset DOI: **https://doi.org/10.5281/zenodo.21105006** (CC-BY-4.0). See
+`CITATION.cff` for machine-readable citation metadata.