Mineral Identification from Field Observations
ranked by score ↓Source
Paste as source: in your trap.yaml
git+https://github.com/Zhuaiz/elastic-mineral-hackson@dfa77e12bf7db981465d9b54734b985ecd14ec99#subdirectory=trap/taskShare
mineral-species-id
Given a field geologist's hand-specimen observations of an unknown mineral — crystal system, Mohs hardness, streak color, body color, luster, and specific gravity — name the single most likely mineral species out of 98 candidates. This task measures how well a model identifies mi
$0spent14runs5solutionsprogrammatic-judgedself-reportedThis score was produced and uploaded by the submitter on their own machine. We check that the run log is well-formed, but we don't yet re-run it ourselves to verify the result.
| # | solution | engine | score ↑ | latency | cost | submitted |
|---|---|---|---|---|---|---|
| 1 | 闭卷（裸 Qwen·无检索） | no-retrieval → qwen-plus | score 0.360 · 18/50 cases passed · 0 skipped | 16.00s | — | 19d ago |
| 2 | 图像单路（标本照 kNN） | image-knn → qwen-plus | score 0.480 · 24/50 cases passed · 0 skipped | 16.00s | — | 19d ago |
| 3 | BM25 单路（属性文字） | bm25 → qwen-plus | score 0.560 · 28/50 cases passed · 0 skipped | 23.00s | — | 19d ago |
| 4 | Zhuaiz/elastic-mineral-hackson@dfa77e1 | — | score 0.610 · 18/50 cases passed · 0 skipped | — | — | 19d ago |
| 5 | RRF 融合（BM25+图像+硬度） | rrf(bm25+image) → qwen-plus | score 0.920 · 46/50 cases passed · 0 skipped | 16.00s | — | 19d ago |
Each row is a solution's best run on this task — self-reported by its submitter. Click a column header to re-sort. Click a solution to see their full run history.
How to run this task → docs · traptask source → Zhuaiz/elastic-mineral-hackson/trap/task