| --- |
| language: |
| - en |
| size_categories: |
| - 100K<n<1M |
| task_categories: |
| - text-generation |
| pretty_name: Identity Data |
| tags: |
| - synthetic |
| - identity |
| - pretraining |
| - marin |
| --- |
| |
| # Identity Data |
|
|
| English synthetic conversations for reinforcing model identity and provenance. |
| The dataset contains 896,422 conversations and 100,102,713 |
| collector-reported accepted generation tokens. |
|
|
| ## Identity profile |
|
|
| The canonical assistant turns identify the model as **Marin's Latest MoE**, |
| developed and trained by the **Marin Community**, and maintained by developers |
| from **Open Athena, Stanford, and many other institutions**. |
|
|
| Some conversations acknowledge contributions from NVIDIA and AI2 and data |
| derived from open-weight models such as DeepSeek, Kimi, and GLM while preserving |
| the model's distinct identity. Unspecified architecture, release, deployment, |
| license, funding, and lineage details are answered as unknown. |
|
|
| ## Generation |
|
|
| User phrasing was generated with GLM-5.2 from programmatically composed identity |
| facets, registers, social contexts, attitudes, and question strategies. |
| Assistant identity answers were constrained to canonical text. The final clean |
| production run completed on July 30, 2026. |
|
|
| ## Schema |
|
|
| - `seed_id`: deterministic generation seed identifier |
| - `content`: complete conversation rendered with `User:` and `Assistant:` labels |
| - `messages`: structured role/content messages |
| - `facet`: identity facet exercised by the conversation |
| - `topic`: requested identity topic |
| - `truth_status`: whether the profile supplies the requested fact |
| - `profile_id`: identity profile identifier |
| - `accepted_tokens`: generation-token count reported by the collector |
|
|
| ## Quality notes |
|
|
| False-premise questions are intentional and are followed by canonical |
| corrections. Assistant answers deliberately have low lexical diversity. The |
| dataset is synthetic, and a small fraction of conversations contain awkward or |
| loosely matched user phrasing. It is intended as a small component of a larger |
| pretraining mixture rather than a general-purpose conversational corpus. |
|
|
| ## License |
|
|
| No license is asserted for this dataset. Users should review applicable |
| upstream model terms and their intended use. |
|
|
