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README.md
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## Worked examples
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These public datasets were generated
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## Known limitations
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## Worked examples
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These public datasets were generated with the recommended config (Qwen3.6-35B-A3B on a100-large via vllm/vllm-openai:latest, 20 sampled rows each, shuffle seed 42) and can be inspected as reference:
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| Output dataset | Source | Prompt | Headline result |
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| `davanstrien/qwen3.6-ena24-20samples` | `davanstrien/ena24-detection` (camera-trap wildlife, 23 species) | List the 23 species + "detect every animal, person, or vehicle" | **20/20 exact detection-count match, 16/20 exact species match** — species confusion was on similar small-mammals (Grey Fox↔Red Fox, Eastern Chipmunk↔Eastern Gray Squirrel) and one Bobcat→squirrel error |
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| `davanstrien/qwen3.6-cppe5-20samples` | `rishitdagli/cppe-5` (medical PPE photos, 5 classes) | Detect Coverall/Face_Shield/Gloves/Goggles/Mask | Labelling-grade boxes (within ~10 px of GT on most items). Descriptive sub-labels ("white N95 respirator", "blue nitrile") |
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| `davanstrien/qwen3.6-beyond-words-20samples` | `biglam/loc_beyond_words` (WW1-era newspapers, 7 classes) | Detect Photograph/Illustration/Map/Comics/Editorial Cartoon/Headline/Advertisement | Mixed — clean per-element detection on most pages, occasional empty output on the densest layouts. Notable: `sub_label` often contains transcribed headline text |
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## Known limitations
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