| --- |
| language: [en, tok, eo, zu, yo] |
| license: other |
| license_name: iris-component-licenses |
| license_link: https://huggingface.co/datasets/ArthurTThomas/IRIS/blob/main/LICENSE_DATA.md |
| pretty_name: IRIS |
| tags: [arxiv:2610.11766, llm-safety, intent-recovery] |
| configs: |
| - config_name: behaviors |
| default: true |
| data_files: |
| - split: evaluation |
| path: data/behaviors.jsonl |
| - config_name: supplementary_inputs |
| data_files: |
| - split: evaluation |
| path: data/supplementary_inputs.jsonl |
| - config_name: headline_metrics |
| data_files: |
| - split: aggregate |
| path: data/headline_metrics.jsonl |
| - config_name: operative_UR_intervals |
| data_files: |
| - split: aggregate |
| path: data/operative_UR_intervals.jsonl |
| - config_name: t1_t3 |
| data_files: |
| - split: aggregate |
| path: data/t1_t3.jsonl |
| - config_name: iaa |
| data_files: |
| - split: aggregate |
| path: data/iaa.jsonl |
| - config_name: paired_reading |
| data_files: |
| - split: aggregate |
| path: data/paired_reading.jsonl |
| - config_name: backtranslation_control |
| data_files: |
| - split: aggregate |
| path: data/backtranslation_control.jsonl |
| --- |
| |
| # IRIS |
|
|
| Public redacted inputs and aggregate results for |
| [Same Outcome, Different Evidence: Intent Recovery in LLM Safety Evaluation](https://arxiv.org/abs/2610.11766). |
| [Code](https://github.com/kevinjiang0121-cyber/IRIS). Planned dataset: `ArthurTThomas/IRIS`. |
|
|
| IRIS-authored data contributions use CC BY 4.0; upstream materials retain their |
| terms, including CC BY-SA for Wikipedia-derived contexts and their translations. |
| See [LICENSE_DATA.md](LICENSE_DATA.md). Prepared for upload to the Hub; no dataset upload is performed by these scripts. |
|
|
| ## Data |
|
|
| | Config | Rows | Description | |
| |---|---:|---| |
| | behaviors | 105 | Redacted matched inputs: English, Esperanto, Toki Pona | |
| | supplementary_inputs | 315 | FormalLogic, Yoruba and Zulu input assets | |
| | headline_metrics | 60 | Six models × ten conditions | |
| | operative_UR_intervals | 60 | Marginal 95% operative-UR intervals | |
| | t1_t3 | 6 | Paired T1/T3 counts and tests | |
| | iaa | 12 | Aggregate reader agreement | |
| | paired_reading | 12 | Reader/judge endpoints | |
| | backtranslation_control | 12 | Legacy LRL/backtranslation comparison | |
| |
| Behavior fields retain source names: `BehaviorID` is the join key; |
| `Source`, `FunctionalCategory`, `SemanticCategory`, `Tags` are metadata; |
| `Behavior_EN/EO/TK` and `ContextString_EN/EO/TK` are strings. Empty strings |
| are retained. Supplementary fields are `BehaviorID`, `variant`, `text`, |
| `source_file` and `license_status` (points to the component terms, not a new license grant). |
| |
| Current result rates and endpoints are **percentages**, with `n=105` in |
| count tables. Operative UR = P(IR=2 and IS=NA), recognition = P(IR=2), and |
| ASR = P(SO>=2). `Shift` is frame change; `B` is blocked/empty output. |
| `operative_count`, `harm_outside_operative` and contingency fields |
| `n00/n01/n10/n11` are counts. Interval bounds use the estimate's units; |
| T1/T3 `delta_pp` and its bounds use percentage points. |
| `p_exact/p_holm` and `agreement` are fractions; `kappa` is unitless. |
| Reader `strict/permissive` means intersection/union; `a_rate/b_rate` refers |
| to T1/T3 or A1/A2 according to the table. |
| In **backtranslation_control**, all rates/deltas are fractions and `ur` |
| means recognition only. Input TK/EO corresponds to paper TOK/EPO. |
| |
| ## Loading |
| |
| After publication: |
| |
| ```python |
| from datasets import load_dataset |
| data = load_dataset("ArthurTThomas/IRIS", "behaviors", split="evaluation") |
| ``` |
| |
| Local conversion and checking from the code repository: |
| |
| ```bash |
| python scripts/prepare_hf_dataset.py --output /tmp/iris-hf |
| python scripts/check_hf_dataset.py /tmp/iris-hf |
| ``` |
| |
| Conversion uses the existing public ZIP only. Loading checks require |
| `datasets` and `PyYAML`; conversion itself uses the standard library. |
| No GPU or paid API calls are made. Output hashes and schemas are recorded in |
| `conversion_report.json`. |
| |
| ## Scope and limitations |
| |
| The inputs contain harmful evaluation requests. Conversion pseudonymizes names, |
| locations and pet names in two public HarmBench profiles; stable IDs, ages and |
| task descriptors remain. The source ZIP is unchanged, and changed fields are |
| listed in `conversion_report.json`. |
| |
| This bundle contains public inputs and aggregate results. It excludes T1/T2/T3 |
| texts, raw answers, judge records and item-level human labels, so historical |
| human statistics cannot be recomputed from it. Fresh API runs may differ. |
| |
| Sources comprise 33 HarmBench, 52 JailbreakBench and 20 StrongReject/rewrite |
| behaviors. [SOURCE_PROVENANCE.csv](SOURCE_PROVENANCE.csv) records the available |
| matches; some are reconstructed, and eight JailbreakBench-labeled rewrites |
| have no confirmed item mapping. See [LICENSE_DATA.md](LICENSE_DATA.md) for |
| component licenses and attribution. Cite IRIS and the relevant benchmarks. |
| |
| ## Upload and verify |
| |
| The output directory is the complete upload unit (12 files). Do not upload the |
| source ZIP, code repository or earlier review bundles. From your own machine: |
| |
| ```bash |
| pip install datasets PyYAML huggingface_hub |
| python scripts/prepare_hf_dataset.py --output /tmp/iris-hf-upload |
| python scripts/check_hf_dataset.py /tmp/iris-hf-upload |
| hf auth login |
| hf upload ArthurTThomas/IRIS /tmp/iris-hf-upload . --repo-type dataset --commit-message "Release IRIS public inputs and aggregate results" |
| ``` |
| |
| The last command publishes the prepared files. Authentication stays on your |
| machine; do not paste tokens into chat. After upload, rerun the example above |
| and inspect all eight configs in the Viewer. Link the dataset to the paper via |
| the arXiv tag already present in this card. No live Viewer check is claimed |
| before upload. |
| |
