# tencent-ailab/persona-hub

Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"

Repository: https://github.com/tencent-ailab/persona-hub
Canonical: https://ross.abutalabs.com/products/persona-hub
Language: Python
License Family: other
Last push: 2025-02-19T06:37:09+00:00

## Health v2 (maintenance only)
Score: 27/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 7, release rhythm 35, longevity 57
- inputs: {"age_days": 803, "days_push": 560, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1642, forks 132 (observed 2026-08-28T04:05:15.378737+00:00)

## What it is
PersonaHub is Tencent AI Lab's collection of 1 billion diverse personas plus code for persona-driven synthetic data creation with LLMs. It includes released persona subsets (200k preview, 370M elite personas) and synthetic data samples like math problems, instructions, and game NPCs.

## Use cases
- generate synthetic training data for LLM fine-tuning
- create diverse math and reasoning problems at scale
- synthesize instructions and user prompts with LLMs
- generate game NPCs and tool/function definitions
- curate diverse personas for data augmentation

## When to choose
- you need large-scale diverse synthetic data for LLM training
- you want persona-driven diversity in generated datasets
- you need ready-made math, reasoning, or instruction datasets

## When to avoid
- you need a permissively licensed dataset for commercial use (data is CC BY-NC-SA)
- you need production-ready software rather than research code
- you need small-scale, human-curated data

## Facets
- artifact type: dataset
- maturity: active
- function: data-generation, llm-training, prompt-engineering, rag
- domain: large-language-models, machine-learning, data-science, artificial-intelligence
- platform: python
- tags: synthetic-data, personas, llm-datasets, data-synthesis, research

## Member repositories
- tencent-ailab/persona-hub (main) score 27

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:15.378737+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:46:21.349788+00:00, confidence not recorded.
  - readme: https://github.com/tencent-ailab/persona-hub (fetched 2026-08-28T04:05:15.378737+00:00, sha 3cfb08ed586d)
- Data as of 2026-08-30T08:39:29.467469+00:00.