DestinyLinker/MingLi-Bench resource
A benchmark for evaluating LLMs on Chinese traditional fortune telling — Bazi (八字) and Ziwei Doushu (紫微斗数). observed · 2026-08-28
Health v2 · maintenance only
50/100
- Activity 81
- Release rhythm 35
- Longevity 9
Flags: no_releases young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 133
- days_rel: n/a
- days_push: 116
- n_releases_24m: 0
Adoption not part of the score
2338 stars · 344 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python benchmark dataset and CLI for evaluating large language models on Chinese traditional fortune telling, covering Bazi (八字) and Ziwei Doushu (紫微斗数). It provides 160 normalized multiple-choice questions sourced from the 2022–2025 Global Fortune Teller Competition, with pre-computed astrological charts and multi-provider LLM evaluation support.
Use cases
- evaluate llms on chinese fortune telling questions
- benchmark models on bazi reasoning
- test llm performance on ziwei doushu charts
- compare chain-of-thought vs direct answering on chinese metaphysics
- measure llm accuracy against human fortune teller competition results
- run model evaluations across openai anthropic deepseek and openrouter providers
When to choose
- you need a standardized benchmark for LLM reasoning in Chinese traditional metaphysics
- you want to compare LLM performance against human expert baselines from fortune telling competitions
- you need pre-computed Bazi/Ziwei charts to isolate reasoning from chart derivation
When to avoid
- you need a general-purpose Chinese NLP or reasoning benchmark
- you want a production fortune telling application rather than an evaluation harness
- your evaluation domain is unrelated to Chinese astrology or destiny analysis
Facets
dataset · maturity active
benchmarking llm-inference cli artificial-intelligence large-language-models python cli cross-platform llm-benchmark chinese-fortune-telling bazi ziwei-doushu multiple-choice-qa astrology chain-of-thought model-evaluation evaluation natural-language-processing
2 sources
- readme: https://github.com/DestinyLinker/MingLi-Bench · fetched 2026-08-28 · c28e8ddda07e
- homepage: https://destinyLinker.github.io/MingLi-Bench/ · fetched 2026-08-29 · 737169bfb166
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| DestinyLinker/MingLi-Bench | main | 50 |
For agents
markdown · JSON · MCP: product_card(name="DestinyLinker/MingLi-Bench")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem