Datasets:
Download reference76/KMME_MODEL_PERFORMANCE_DETAIL.json from KETI-NLP/KMME: direct link, hf CLI and curl.
- Browser
- Download file 49.4 kB
-
https://huggingface.co/datasets/KETI-NLP/KMME/resolve/main/reference76/KMME_MODEL_PERFORMANCE_DETAIL.json
- Command line
-
hf download hf://datasets/KETI-NLP/KMME/reference76/KMME_MODEL_PERFORMANCE_DETAIL.json
-
curl -L -o KMME_MODEL_PERFORMANCE_DETAIL.json https://huggingface.co/datasets/KETI-NLP/KMME/resolve/main/reference76/KMME_MODEL_PERFORMANCE_DETAIL.json
49.4 kB
| { | |
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| "scope": "historical fixed subset; no new inference; original validity flags and missing records preserved", | |
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| "scope": "historical fixed subset; no new inference; original validity flags and missing records preserved", | |
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| "meta-llama/llama-4-maverick": { | |
| "profile": "compact-reference-score-v1", | |
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| "scope": "historical fixed subset; no new inference; original validity flags and missing records preserved", | |
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| "upstage/solar-pro4": { | |
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| }, | |
| "scope": "historical fixed subset; no new inference; original validity flags and missing records preserved", | |
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| "status_translation_note": "historically_invalid_present does not identify an API error; use recorded invalid_present_reasons; missing means no comparable historical record" | |
| } | |