PersonaHub
Tencent AI LabPersona-driven synthetic data resource from Tencent AI Lab, backed by the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas". It releases a large set of distilled personas - a 200,000-persona preview alongside roughly 370 million elite personas - plus seed synthetic samples including 50,000 math problems, 50,000 logical-reasoning problems and 50,000 instructions.
Openness
2 high confidence- license
- cc-by-nc-sa-4.0(non-commercial)
- card
- present
- ungated
- yes
- scope
- ~370M personas+seed samples
PersonaHub is publicly downloadable and ungated, licensed CC-BY-NC-SA-4.0, which permits non-commercial reuse but forbids commercial use. Because the Open Definition treats non-commercial-only data as not fully open, that leaves PersonaHub between open and gated.
- https://huggingface.co/api/datasets/proj-persona/PersonaHub recorded 2026-09-29
Hub API record for proj-persona/PersonaHub, listing the tag "license:cc-by-nc-sa-4.0" and a description of "a collection of 1 billion diverse personas".
- https://huggingface.co/datasets/proj-persona/PersonaHub recorded 2026-09-29
PersonaHub dataset page, public with no access-request gate (its embedded page data reports gated false), showing the license "cc-by-nc-sa-4.0" and the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas".
- https://huggingface.co/datasets/proj-persona/PersonaHub/raw/main/README.md recorded 2026-09-29
Raw card of PersonaHub with a YAML header stating "license: cc-by-nc-sa-4.0" and a data release section listing "370,000,000 elite personas (added in Feb 2025)" and "200,000 personas (early preview)".
Adoption
2 high confidenceAdoption is measured by Hugging Face downloads of the dataset over the trailing month, the only usage channel on record for PersonaHub.
- https://huggingface.co/api/datasets/proj-persona/PersonaHub recorded 2026-08-13
9,346 downloads in the trailing 30 days for proj-persona/PersonaHub
Capability
4 medium confidencePersonaHub's headline result is a Qwen2-7B model fine-tuned on roughly 1.07 million persona-generated math problems, reaching about 65% on MATH and matching GPT-4-turbo-preview. Its impact runs mostly through datasets built on its method, such as Tulu 3's persona-math mixture, rather than through direct large-scale use of the personas themselves, unlike SmolTalk, FineWeb-Edu and DCLM-Baseline.
- https://arxiv.org/html/2406.20094 recorded 2026-09-29
Paper HTML says "our approach allows a 7B LLM to achieve 65% on MATH" and describes fine-tuning Qwen2-7B on "1.07 million math problems and evaluate its greedy decoding outputs on the above two test sets".
- https://huggingface.co/datasets/allenai/tulu-3-sft-personas-math recorded 2026-09-29
Tulu 3 persona-math dataset page whose card says "we expand the methodology in" the PersonaHub paper "by using personas" and lists "149960" examples.
Verified 2026-09-27