Datasets:
Download transcripts/bench/calibration-tools.json from aiprofessions/prompt-benchmark: direct link, hf CLI and curl.
- Browser
- Download file 5.39 kB
-
https://huggingface.co/datasets/aiprofessions/prompt-benchmark/resolve/main/transcripts/bench/calibration-tools.json
- Command line
-
hf download hf://datasets/aiprofessions/prompt-benchmark/transcripts/bench/calibration-tools.json
-
curl -L -o calibration-tools.json https://huggingface.co/datasets/aiprofessions/prompt-benchmark/resolve/main/transcripts/bench/calibration-tools.json
5.39 kB
| { | |
| "seed": 20261021, | |
| "langs": [ | |
| "en", | |
| "es", | |
| "fr", | |
| "pt" | |
| ], | |
| "models": [ | |
| "claude-opus-5-5", | |
| "claude-sonnet-5", | |
| "claude-fable-5-1", | |
| "gpt-6-astra", | |
| "gemini-4-argon-medium" | |
| ], | |
| "per_family": 6, | |
| "summary": { | |
| "anthropic": { | |
| "runs": 6, | |
| "published_judge": "gpt-6-astra", | |
| "swap_judge": "claude-opus-5-5", | |
| "published_share": 0.933, | |
| "swap_share": 0.967 | |
| }, | |
| "openai": { | |
| "runs": 6, | |
| "published_judge": "claude-opus-5-5", | |
| "swap_judge": "gpt-6-astra", | |
| "published_share": 0.867, | |
| "swap_share": 0.9 | |
| }, | |
| "google": { | |
| "runs": 6, | |
| "published_judge": "gpt-6-astra", | |
| "swap_judge": "claude-opus-5-5", | |
| "published_share": 0.933, | |
| "swap_share": 0.967 | |
| } | |
| }, | |
| "rows": [ | |
| { | |
| "prompt_id": "m365-fr-compte-rendu-chantier-01", | |
| "model_key": "claude-fable-5-1", | |
| "run": 1, | |
| "family": "anthropic", | |
| "published_judge": "gpt-6-astra", | |
| "published_score": 4, | |
| "swap_judge": "claude-opus-5-5", | |
| "swap_score": 4, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "m365-es-correo-descuento-01", | |
| "model_key": "claude-sonnet-5", | |
| "run": 2, | |
| "family": "anthropic", | |
| "published_judge": "gpt-6-astra", | |
| "published_score": 4, | |
| "swap_judge": "claude-opus-5-5", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "xl-pt-procx-nfe-01", | |
| "model_key": "claude-opus-5-5", | |
| "run": 3, | |
| "family": "anthropic", | |
| "published_judge": "gpt-6-astra", | |
| "published_score": 5, | |
| "swap_judge": "claude-opus-5-5", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "xl-en-xlookup-01", | |
| "model_key": "claude-opus-5-5", | |
| "run": 2, | |
| "family": "anthropic", | |
| "published_judge": "gpt-6-astra", | |
| "published_score": 5, | |
| "swap_judge": "claude-opus-5-5", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "m365-es-correo-descuento-01", | |
| "model_key": "claude-sonnet-5", | |
| "run": 1, | |
| "family": "anthropic", | |
| "published_judge": "gpt-6-astra", | |
| "published_score": 5, | |
| "swap_judge": "claude-opus-5-5", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "m365-es-correo-descuento-01", | |
| "model_key": "claude-fable-5-1", | |
| "run": 1, | |
| "family": "anthropic", | |
| "published_judge": "gpt-6-astra", | |
| "published_score": 5, | |
| "swap_judge": "claude-opus-5-5", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "m365-en-minutes-01", | |
| "model_key": "gpt-6-astra", | |
| "run": 2, | |
| "family": "openai", | |
| "published_judge": "claude-opus-5-5", | |
| "published_score": 4, | |
| "swap_judge": "gpt-6-astra", | |
| "swap_score": 4, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "xl-fr-recherchex-tva-01", | |
| "model_key": "gpt-6-astra", | |
| "run": 3, | |
| "family": "openai", | |
| "published_judge": "claude-opus-5-5", | |
| "published_score": 3, | |
| "swap_judge": "gpt-6-astra", | |
| "swap_score": 4, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "m365-pt-resumo-locacao-01", | |
| "model_key": "gpt-6-astra", | |
| "run": 2, | |
| "family": "openai", | |
| "published_judge": "claude-opus-5-5", | |
| "published_score": 5, | |
| "swap_judge": "gpt-6-astra", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "xl-en-pivot-explain-01", | |
| "model_key": "gpt-6-astra", | |
| "run": 2, | |
| "family": "openai", | |
| "published_judge": "claude-opus-5-5", | |
| "published_score": 5, | |
| "swap_judge": "gpt-6-astra", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "m365-es-correo-descuento-01", | |
| "model_key": "gpt-6-astra", | |
| "run": 1, | |
| "family": "openai", | |
| "published_judge": "claude-opus-5-5", | |
| "published_score": 5, | |
| "swap_judge": "gpt-6-astra", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "xl-es-buscarx-mx-01", | |
| "model_key": "gpt-6-astra", | |
| "run": 1, | |
| "family": "openai", | |
| "published_judge": "claude-opus-5-5", | |
| "published_score": 4, | |
| "swap_judge": "gpt-6-astra", | |
| "swap_score": 4, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "xl-es-buscarx-mx-01", | |
| "model_key": "gemini-4-argon-medium", | |
| "run": 1, | |
| "family": "google", | |
| "published_judge": "gpt-6-astra", | |
| "published_score": 5, | |
| "swap_judge": "claude-opus-5-5", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "xl-en-xlookup-01", | |
| "model_key": "gemini-4-argon-medium", | |
| "run": 1, | |
| "family": "google", | |
| "published_judge": "gpt-6-astra", | |
| "published_score": 5, | |
| "swap_judge": "claude-opus-5-5", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "xl-en-pivot-explain-01", | |
| "model_key": "gemini-4-argon-medium", | |
| "run": 2, | |
| "family": "google", | |
| "published_judge": "gpt-6-astra", | |
| "published_score": 5, | |
| "swap_judge": "claude-opus-5-5", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "m365-pt-resumo-locacao-01", | |
| "model_key": "gemini-4-argon-medium", | |
| "run": 2, | |
| "family": "google", | |
| "published_judge": "gpt-6-astra", | |
| "published_score": 5, | |
| "swap_judge": "claude-opus-5-5", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "xl-en-xlookup-01", | |
| "model_key": "gemini-4-argon-medium", | |
| "run": 2, | |
| "family": "google", | |
| "published_judge": "gpt-6-astra", | |
| "published_score": 5, | |
| "swap_judge": "claude-opus-5-5", | |
| "swap_score": 5, | |
| "criteria": 5 | |
| }, | |
| { | |
| "prompt_id": "m365-fr-compte-rendu-chantier-01", | |
| "model_key": "gemini-4-argon-medium", | |
| "run": 1, | |
| "family": "google", | |
| "published_judge": "gpt-6-astra", | |
| "published_score": 3, | |
| "swap_judge": "claude-opus-5-5", | |
| "swap_score": 4, | |
| "criteria": 5 | |
| } | |
| ] | |
| } | |