Sign inGet started
Dataset · Hugging Face

mrfakename/identity

Identity Do your models keep referring to themselves by the wrong name? This dataset is an attempt to train models to have a consistent identity. This dataset contains around 1000 short conversations where the user asks about the identity of the assistant. The assistant replies with its name and developer. You can customize the dataset for your own model. Usage Important! Do not use an unmodified version of this dataset to train your models. Make sure to run the… See the full description on the dataset page: https://huggingface.co/datasets/mrfakename/identity.

Author / organizationmrfakename
License (as declared)other
Downloads210 (as reported by Hugging Face)
Likes4
Created25 November 2024
Last updated at source9 December 2024
identity
Embed this entry
<iframe src="https://silytics.si/embed/item/77bd34fa-6d99-4b33-ad89-cf91b3a067e5" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

210 now (-98 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Recent changes

  • 17 Oct 2026 Description: Identity Do your models keep referring to themselves by the wrong name? This dataset is an attempt to train models to have a consistent identity. This dataset contains around 1000 short conversations where the user asks about the identity o → Identity Do your models keep referring to themselves by the wrong name? This dataset is an attempt to train models to have a consistent identity. This dataset contains around 1000 short conversations where the user asks about the identity o

Changes detected by Silytics between refreshes of the source.

More from mrfakename

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.