Datasets:
Download dataset.json from typesafeAI/evalsafe-onet: direct link, hf CLI and curl.
- Browser
- Download file 23.1 kB
-
https://huggingface.co/datasets/typesafeAI/evalsafe-onet/resolve/main/dataset.json
- Command line
-
hf download hf://datasets/typesafeAI/evalsafe-onet/dataset.json
-
curl -L -o dataset.json https://huggingface.co/datasets/typesafeAI/evalsafe-onet/resolve/main/dataset.json
23.1 kB
| { | |
| "name": "evalsafe-onet", | |
| "title": "EvalSafe O*NET", | |
| "snapshot_date": "2026-09-29", | |
| "repository": "typesafe/evalsafe-onet", | |
| "split": "test", | |
| "references": [ | |
| "gpt-6-astra", | |
| "claude-fable-5-1" | |
| ], | |
| "candidates": [ | |
| "gpt-5.6-sol", | |
| "gpt-5.6-terra", | |
| "gpt-5.6-luna", | |
| "claude-sonnet-5", | |
| "claude-opus-5", | |
| "claude-haiku-4-5", | |
| "together/deepseek-ai/DeepSeek-V4-Flash-0731", | |
| "together/deepseek-ai/DeepSeek-V4-Pro-0813", | |
| "typesafe/jev-1.13.0" | |
| ], | |
| "n_documents": 150, | |
| "n_questions": 7500, | |
| "question_counts": { | |
| "score": 2400, | |
| "noul": 4050, | |
| "choice": 1050 | |
| }, | |
| "default_reference": "consensus", | |
| "labelsets": [ | |
| "openai", | |
| "anthropic", | |
| "consensus" | |
| ], | |
| "coverage": { | |
| "cases": 150, | |
| "questions": 7500, | |
| "runs": 9, | |
| "run_results": 67500, | |
| "scoring_questions": 7500, | |
| "two_source_questions": 7468, | |
| "successful_candidate_calls": 66528, | |
| "reference_calls": 15000, | |
| "successful_reference_calls": 14968, | |
| "openai_questions": 7497, | |
| "anthropic_questions": 7471, | |
| "consensus_questions": 7500 | |
| }, | |
| "encodings": { | |
| "*_json": "JSON-encoded UTF-8 text", | |
| "probabilities": "list of option/probability pairs" | |
| }, | |
| "measurement_unit": "question", | |
| "metrics": [ | |
| { | |
| "metric_id": "overall_performance", | |
| "title": "Overall performance", | |
| "comparison": "noul/choice: 1-JSD (base 2); score: 1-normalized absolute mean error", | |
| "aggregation": "equal question-type means" | |
| }, | |
| { | |
| "metric_id": "intelligence", | |
| "title": "Noul/choice intelligence", | |
| "comparison": "1 - Jensen-Shannon divergence with base-2 logarithms", | |
| "aggregation": "question-level" | |
| }, | |
| { | |
| "metric_id": "score_agreement", | |
| "title": "Expected-score agreement", | |
| "comparison": "1 - absolute expected-score error / rubric range", | |
| "aggregation": "question-level" | |
| }, | |
| { | |
| "metric_id": "noul_intelligence", | |
| "title": "Noul intelligence", | |
| "comparison": "1 - Jensen-Shannon divergence with base-2 logarithms", | |
| "aggregation": "mean over this question type" | |
| }, | |
| { | |
| "metric_id": "choice_intelligence", | |
| "title": "Choice intelligence", | |
| "comparison": "1 - Jensen-Shannon divergence with base-2 logarithms", | |
| "aggregation": "mean over this question type" | |
| } | |
| ], | |
| "metric_definitions": { | |
| "performance": "Equal-weight mean of per-type scores. Noul/choice intelligence: 1-Jensen-Shannon divergence using base-2 logs, not its square root. Score agreement: 1-abs(model_mean-reference_mean)/rubric_range. Missing/failed candidates score zero. This composite is not a pure JSD metric." | |
| }, | |
| "results": [ | |
| { | |
| "model": "claude-opus-5", | |
| "performance": 0.9432976858164973, | |
| "performance_by_type": { | |
| "score": 0.9344623263888888, | |
| "noul": 0.9686739752226045, | |
| "choice": 0.9267567558379987 | |
| }, | |
| "n_questions": 7500, | |
| "n_attempted": 7500, | |
| "n_success": 7439, | |
| "coverage": 0.9918666666666667, | |
| "mean_cost_usd": 0.019445598759316216, | |
| "mean_latency_seconds": 3.1841236014329226, | |
| "noul_choice_intelligence": 0.9477153655303016 | |
| }, | |
| { | |
| "model": "gpt-5.6-sol", | |
| "performance": 0.9344972567563725, | |
| "performance_by_type": { | |
| "score": 0.9281980902777777, | |
| "noul": 0.9640257990610747, | |
| "choice": 0.9112678809302651 | |
| }, | |
| "n_questions": 7500, | |
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| "n_success": 7438, | |
| "coverage": 0.9917333333333334, | |
| "mean_cost_usd": 0.005678732939366052, | |
| "mean_latency_seconds": 2.7196692931973265, | |
| "noul_choice_intelligence": 0.9376468399956699 | |
| }, | |
| { | |
| "model": "typesafe/jev-1.13.0", | |
| "performance": 0.9338604228141348, | |
| "performance_by_type": { | |
| "score": 0.9138069444444444, | |
| "noul": 0.9756146261594554, | |
| "choice": 0.9121596978385045 | |
| }, | |
| "n_questions": 7500, | |
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| "coverage": 1.0, | |
| "mean_cost_usd": 7.462574559999998e-05, | |
| "mean_latency_seconds": 0.1413946220552667, | |
| "noul_choice_intelligence": 0.9438871619989799 | |
| }, | |
| { | |
| "model": "gpt-5.6-terra", | |
| "performance": 0.9175851314299175, | |
| "performance_by_type": { | |
| "score": 0.9248967013888889, | |
| "noul": 0.9351411908596187, | |
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| }, | |
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| "noul_choice_intelligence": 0.9139293464504319 | |
| }, | |
| { | |
| "model": "claude-sonnet-5", | |
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| "noul_choice_intelligence": 0.910151285689955 | |
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| { | |
| "model": "claude-haiku-4-5", | |
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| "mean_latency_seconds": 12.008255460545069, | |
| "noul_choice_intelligence": 0.8996018923299471 | |
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| { | |
| "model": "gpt-5.6-luna", | |
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| "score": 0.9209288194444444, | |
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| "noul_choice_intelligence": 0.8704121816370936 | |
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| { | |
| "model": "together/deepseek-ai/DeepSeek-V4-Pro-0813", | |
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| "name": "claude-haiku-4-5", | |
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| "reasoning_effort": "default", | |
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| "model_alias": "claude-haiku-4-5", | |
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| "claude-haiku-4-5-20251001" | |
| ] | |
| }, | |
| "onet-f28ee3aec61c7851": { | |
| "model": { | |
| "name": "claude-opus-5", | |
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| "onet-f873107a5e7671eb": { | |
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| "onet-55603cc8d7180192": { | |
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| "gpt-5.6-sol" | |
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| "onet-ddcdeaaea20392d0": { | |
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| "gpt-5.6-terra" | |
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| "onet-bf6a8146cb600de3": { | |
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| "name": "deepseek-ai/DeepSeek-V4-Flash-0731", | |
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| "model_alias": "together/deepseek-ai/DeepSeek-V4-Flash-0731", | |
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| "deepseek-ai/DeepSeek-V4-Flash-0731" | |
| ] | |
| }, | |
| "onet-901eef89eb70856a": { | |
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| "name": "deepseek-ai/DeepSeek-V4-Pro-0813", | |
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| "cost_questions": 7500, | |
| "successful_questions": 7245, | |
| "model_alias": "together/deepseek-ai/DeepSeek-V4-Pro-0813", | |
| "resolved_models": [ | |
| "deepseek-ai/DeepSeek-V4-Pro-0813" | |
| ] | |
| }, | |
| "onet-5ea55de28cb0cea2": { | |
| "model": { | |
| "name": "jev-1.13.0", | |
| "provider": "typesafe", | |
| "reasoning_effort": "off", | |
| "question_mode": "one" | |
| }, | |
| "cases": 150, | |
| "questions": 7500, | |
| "scores": [ | |
| { | |
| "metric_id": "overall_performance", | |
| "value": 0.9338604228141348, | |
| "denominator": 7500, | |
| "aggregation": "equal question-type means" | |
| }, | |
| { | |
| "metric_id": "noul_intelligence", | |
| "value": 0.9756146261594554, | |
| "denominator": 4050, | |
| "aggregation": "mean over this question type" | |
| }, | |
| { | |
| "metric_id": "score_agreement", | |
| "value": 0.9138069444444444, | |
| "denominator": 2400, | |
| "aggregation": "mean over this question type" | |
| }, | |
| { | |
| "metric_id": "choice_intelligence", | |
| "value": 0.9121596978385045, | |
| "denominator": 1050, | |
| "aggregation": "mean over this question type" | |
| } | |
| ], | |
| "mean_cost_usd": 7.462574559999998e-05, | |
| "mean_wall_time_s": 0.1413946220552667, | |
| "measurement_unit": "question", | |
| "cost_questions": 7500, | |
| "successful_questions": 7500, | |
| "model_alias": "typesafe/jev-1.13.0", | |
| "resolved_models": [ | |
| "jev-1.13.0" | |
| ] | |
| } | |
| }, | |
| "run_results": { | |
| "route": "question", | |
| "reference": "consensus", | |
| "primary_metric": "overall_performance", | |
| "row_unit": "one candidate model and question", | |
| "selection": "Final recorded results for all nine models on the 7,500 consensus-labeled questions.", | |
| "label_filter": "Only question instances with an available consensus target; each result embeds that consensus. Failed candidate predictions remain when their reference is available.", | |
| "overall_aggregation": "Equal-weight mean of noul, score, and choice question-type means." | |
| }, | |
| "schema_version": 7, | |
| "license": "apache-2.0", | |
| "description": "Synthetic workplace documents with noul, score, and choice questions and model-generated consensus targets.", | |
| "reference_targets": "Model-generated targets from Astra and Fable; the default reference is consensus.", | |
| "limitations": [ | |
| "References are model-generated rather than human-verified ground truth.", | |
| "This benchmark is not a held-out evaluation of generalization." | |
| ], | |
| "question_allocation": { | |
| "per_document": { | |
| "noul": 27, | |
| "score": 16, | |
| "choice": 7 | |
| } | |
| }, | |
| "artifacts": { | |
| "charts": "assets/price_speed_performance.png" | |
| }, | |
| "pricing": { | |
| "gpt-5.6-sol": { | |
| "source": "Pricing assumption for this dataset", | |
| "as_of": "2026-09-29", | |
| "usd_per_million_tokens": { | |
| "input": 4.0, | |
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| "cache_write_1h": 8.0 | |
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| "gpt-5.6-terra": { | |
| "source": "Pricing assumption for this dataset", | |
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| "usd_per_million_tokens": { | |
| "input": 2.0, | |
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| }, | |
| "gpt-5.6-luna": { | |
| "source": "Pricing assumption for this dataset", | |
| "as_of": "2026-09-29", | |
| "usd_per_million_tokens": { | |
| "input": 0.2, | |
| "output": 1.2, | |
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| "cache_write_5m": 0.25, | |
| "cache_write_1h": 0.4 | |
| } | |
| }, | |
| "claude-sonnet-5": { | |
| "source": "https://platform.claude.com/docs/en/about-claude/pricing", | |
| "as_of": "2026-09-29", | |
| "usd_per_million_tokens": { | |
| "input": 2, | |
| "output": 10, | |
| "cache_read": 0.2, | |
| "cache_write_5m": 2.5, | |
| "cache_write_1h": 4 | |
| } | |
| }, | |
| "claude-opus-5": { | |
| "source": "https://platform.claude.com/docs/en/about-claude/pricing", | |
| "as_of": "2026-09-29", | |
| "usd_per_million_tokens": { | |
| "input": 5, | |
| "output": 25, | |
| "cache_read": 0.5, | |
| "cache_write_5m": 6.25, | |
| "cache_write_1h": 10 | |
| } | |
| }, | |
| "claude-haiku-4-5": { | |
| "source": "https://platform.claude.com/docs/en/about-claude/pricing", | |
| "as_of": "2026-09-29", | |
| "usd_per_million_tokens": { | |
| "input": 1, | |
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| "cache_write_5m": 1.25, | |
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| "together/deepseek-ai/DeepSeek-V4-Flash-0731": { | |
| "source": "https://www.together.ai/models/deepseek-v4-flash-0731", | |
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| "input": 0.14, | |
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| } | |
| }, | |
| "together/deepseek-ai/DeepSeek-V4-Pro-0813": { | |
| "source": "https://www.together.ai/models/deepseek-v4-pro-0813", | |
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| "input": 1.32, | |
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| } | |
| }, | |
| "typesafe/jev-1.13.0": { | |
| "source": "Pricing assumption for this dataset", | |
| "as_of": "2026-09-29", | |
| "usd_per_million_tokens": { | |
| "input": 0.042, | |
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| } | |
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| } | |
| } | |