File size: 2,200 Bytes
665ac6e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 | ---
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.
|