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Devseis AI Act Classifier v6 data: train/val/test, scenarios, change logs
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| license: cc-by-4.0 | |
| language: [en] | |
| task_categories: [text-classification] | |
| tags: [eu-ai-act, ai-governance, legal, synthetic, devseis] | |
| pretty_name: Devseis AI Act Classifier v6 data | |
| size_categories: [1K<n<10K] | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train_v6.csv | |
| - split: validation | |
| path: data/val_v6.csv | |
| - split: test | |
| path: data/test_v6.csv | |
| - config_name: scenarios | |
| data_files: | |
| - split: train | |
| path: data/scenarios_v6.csv | |
| # Devseis AI Act Classifier — v6 training and evaluation data | |
| *A Devseis dataset (`data_v6_systems`). Used to train [`Devseis/devseis-ai-act-classifier-v6`](https://huggingface.co/Devseis/devseis-ai-act-classifier-v6), which powers [Caveat](https://huggingface.co/spaces/Devseis/Caveat).* | |
| This is the data the v6 classifier was trained and evaluated on. It is published so the numbers in the | |
| model card and on the Caveat page can be checked. **It is synthetic, and it is not legal advice.** | |
| ## Files | |
| | File | What it is | Rows | Scenarios | | |
| |---|---|---|---| | |
| | `data/train_v6.csv` | training set (`text`, `label`) | 938 | 242 | | |
| | `data/val_v6.csv` | validation set, used only to choose settings | 162 | 54 | | |
| | `data/test_v6.csv` | test set, used once per final configuration | 210 | 70 | | |
| | `data/scenarios_v6.csv` | one row per distinct scenario (`text`, `label`, `legal_basis`) | 366 | 366 | | |
| | `CHANGES_v3.md` … `CHANGES_v6.md` | what changed in each version and why | | | | |
| Labels: `prohibited`, `high_risk`, `limited_risk`, `minimal_risk`. Counts by scenario: | |
| | Split | high_risk | minimal_risk | prohibited | limited_risk | | |
| |---|---|---|---|---| | |
| | train | 96 | 76 | 43 | 27 | | |
| | val | 19 | 17 | 10 | 8 | | |
| | test | 27 | 21 | 12 | 10 | | |
| ## Loading | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("Devseis/devseis-ai-act-classifier-v6-data") # train / validation / test | |
| scenarios = load_dataset("Devseis/devseis-ai-act-classifier-v6-data", "scenarios") | |
| ``` | |
| ## How it was made | |
| - **Synthetic, LLM-written scenarios.** Each is based on the text of Regulation (EU) 2024/1689 | |
| (Art 5, Art 50, Annex I, Annex III), its recitals, and the European Commission's draft guidelines | |
| on classifying high-risk AI systems. | |
| - **Template-expanded.** In validation and test, each scenario appears as 3 rows. In training, each scenario also | |
| has one extra row in a different voice (a question, a pitch, a tender request, …), added in v6 so the model sees | |
| more than one writing style. | |
| - **Classic rows:** each scenario appears as 3 rows. The rows differ only in an opening phrase | |
| ("Our client wants to deploy…", "A startup is building…"). In about half the scenarios, one of the | |
| three rows has no opening phrase. The real sample size is the scenario count, not the row count. | |
| - **Split by scenario.** All rows of a scenario sit in the same split. No scenario appears in more | |
| than one split. `test_v6` is the v5 test set plus 4 new scenarios (and the v5 test set is the v4 one plus 5), so | |
| results can be compared with earlier versions on the same rows. | |
| ## Known caveats | |
| - Every scenario is synthetic, and the test sets are small (70 scenarios, 12 of them prohibited). | |
| Scores on this data are an upper bound on real-world performance. | |
| - **Age and sex estimation from biometrics is labelled `high_risk`** (Annex III(1)(b)) as a consistent | |
| policy choice, because the law is unsettled on it. | |
| - **The AI Omnibus scenarios** (non-consensual intimate imagery and AI-generated child sexual abuse | |
| material) are labelled `prohibited`, which is the law from **2 December 2026**. They are one-line, | |
| non-graphic descriptions of banned systems. Their `legal_basis` citations, Art. 5(1)(ba) and (bb), are | |
| verified against the Official Journal text of the AI Omnibus, Regulation (EU) 2026/1744, Art. 1(7). | |
| Under the new Art. 5(1a), a system is banned only where that output is its intended purpose, or a | |
| reasonably foreseeable outcome without adequate safeguards. All 9 scenarios describe systems built | |
| for that purpose. | |
| - The `CHANGES_*.md` files were written for the build folders, so their relative paths (such as | |
| `../relabel_audit/`) point to files that are not published here. | |
| ## License | |
| CC-BY-4.0. | |