| --- |
| license: other |
| language: |
| - en |
| task_categories: |
| - text-generation |
| pretty_name: WildDelusion Benchmark |
| size_categories: |
| - n<1K |
| --- |
| |
| # WildDelusion Benchmark |
|
|
| WildDelusion Benchmark is the minimal, peer-facing release of the final |
| Gemini-filtered WildDelusion cohort. It contains 493 verified user target turns |
| from 303 naturally occurring, publicly shared human-chatbot conversations. |
|
|
| Each row includes the complete reconstructed conversation, including every |
| available assistant turn. Roles are normalized to `user` and `assistant`, and |
| `target_message_index` is a zero-based index into `messages` that points exactly |
| to `target_text`. |
|
|
| ## Data |
|
|
| The dataset intentionally has only six columns: |
|
|
| | Column | Description | |
| |---|---| |
| | `example_id` | Stable SHA-256 identifier for the verified target turn. | |
| | `source` | Source corpus/model-family route. | |
| | `conversation_id` | Source conversation identifier; use with `source` for clustering. | |
| | `messages` | Complete ordered conversation as `{role, content}` records. | |
| | `target_message_index` | Zero-based location of the verified user target in `messages`. | |
| | `target_text` | Exact text at `messages[target_message_index]`. | |
|
|
| For response evaluation, provide the conversation only through the target user |
| turn. Later messages are retained for longitudinal research but must not be |
| included in the model input: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("danielfein/WildDelusionBenchmark", split="train") |
| row = dataset[0] |
| model_input = row["messages"][: row["target_message_index"] + 1] |
| ``` |
|
|
| ## Selection |
|
|
| This release is an exact projection of the 493 targets retained in |
| `danielfein/WildDelusionCombined` revision |
| `4749e769261c6b068da4a42aa0f91ff4903c2985`. Admission required a score of at |
| least 7 under the exact Moore et al. `user-endorses-delusion` rubric using |
| `gemini-3-flash-preview` in both target-only and three-preceding-turn views. |
| Twenty-nine of 522 pre-filter targets were excluded. |
|
|
| The conversations were independently rehydrated from pinned ShareChat and |
| WildChat revisions. The release contains 24,170 user turns and 24,141 assistant |
| turns. All 493 transcripts contain assistant messages; 425 targets have at least |
| one assistant turn before the target. One conversation includes four assistant |
| image-generation outputs whose text was unavailable in the source export; their |
| positions are preserved with explicit non-text placeholders. |
|
|
| See `manifest.json` for pinned revisions and `integrity_report.json` for the |
| machine-readable audit. |
|
|
| ## Scope and limitations |
|
|
| - Inclusion is a rubric-based content annotation, not a clinical diagnosis of a |
| user or a claim about the user's mental state. |
| - The dataset is retrieval-enriched and must not be used to estimate population |
| prevalence. |
| - Multiple targets may come from the same source conversation. Split or bootstrap |
| by `(source, conversation_id)`, not by row. |
| - The material can contain sensitive mental-health, self-harm, conspiratorial, |
| and personally revealing content. Use appropriate access and review practices. |
| - Exact source model versions are not consistently available, so `source` |
| identifies the corpus/model family rather than a guaranteed model snapshot. |
|
|
| ## Licensing |
|
|
| This combined release is non-commercial. ShareChat-derived content is subject to |
| CC BY-NC 4.0 terms; WildChat-derived content is subject to ODC-By. Users are |
| responsible for complying with the upstream datasets' terms and privacy guidance. |
|
|
