EvalSafe O*NET benchmark

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+*.png filter=lfs diff=lfs merge=lfs -text

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README.md

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+---
+license: apache-2.0
+language:
+- en
+pretty_name: EvalSafe O*NET
+tags:
+- evaluation
+- synthetic
+- benchmark
+configs:
+- config_name: cases
+  default: true
+  data_files:
+  - split: test
+    path: data/cases.parquet
+- config_name: questions
+  data_files:
+  - split: test
+    path: data/questions.parquet
+- config_name: run_results
+  data_files:
+  - split: test
+    path: data/run_results.parquet
+---
+
+# EvalSafe O*NET
+
+**150 documents · 7,500 consensus-labeled questions · 9 candidate models.**
+Snapshot: 2026-09-29. Default reference: **consensus**.
+
+Only questions with an available consensus target and their corresponding documents
+and final model results are included. The documents are synthetic workplace examples.
+The reference targets are model-generated, using Astra (`gpt-6-astra`) and Fable
+(`claude-fable-5-1`). The default reference is their **consensus**.
+
+## Load
+
+```python
+from datasets import load_dataset
+
+repo = "typesafe/evalsafe-onet"
+cases = load_dataset(repo, "cases", split="test")
+questions = load_dataset(repo, "questions", split="test")
+results = load_dataset(repo, "run_results", split="test")
+```
+
+Use `revision="<commit SHA>"` to pin the data. If access requires authentication,
+sign in to Hugging Face first. All three configurations have one `test` split.
+
+| Configuration | Rows | Contents |
+|---|---:|---|
+| `cases` | 150 | Complete documents, descriptive metadata, and question IDs |
+| `questions` | 7,500 | Question/input and independent OpenAI, Anthropic, and consensus labels |
+| `run_results` | 67,500 | Final prediction, embedded consensus target, score, cost and usage for each model/question |
+
+Each document has **27 noul, 16 score, and 7 choice questions**, totaling 4,050 noul,
+2,400 score, and 1,050 choice questions. Coverage, scoring definitions, and model
+summaries are recorded in [`dataset.json`](dataset.json).
+
+Join tables with `case_id` and `question_instance_id`; `run_id` joins model results
+to the summaries in `dataset.json`. Fields ending in `_json` contain JSON-encoded
+text. Every model-result row includes its reference target.
+
+All 7,500 questions have a consensus target. Both reference sources are available
+for 7,468 questions; 32 have one available source.
+
+## Metrics
+
+- **Noul/choice intelligence:** `1 - Jensen-Shannon divergence`, using base-2
+  logarithms. This uses divergence, not its square root.
+- **Score agreement:** `1 - abs(model_mean - reference_mean) / rubric_range`.
+- **Overall performance:** equal-weight mean of the noul, score, and choice type
+  means. This is a composite of two metrics, not a pure JSD score.
+
+Failed candidates score zero. The final table has **66,528/67,500 valid
+candidate results**. Reference models are excluded from candidate rankings.
+Jev is reported as `jev-1.13.0`; the DeepSeek models were served by Together.
+
+## Results
+
+![Price and latency versus performance with Pareto frontiers](assets/price_speed_performance.png)
+
+Dashed frontiers connect nondominated models and do not predict intermediate
+configurations. Cost and latency axes are logarithmic; the chart uses all nine
+candidates.
+
+| Model | Performance | Valid results | USD/1,000 questions | sec/question |
+|---|---:|---:|---:|---:|
+| claude-opus-5 | 0.94330 | 7,439/7,500 | $19.44560 | 3.184 |
+| gpt-5.6-sol | 0.93450 | 7,438/7,500 | $5.67873 | 2.720 |
+| typesafe/jev-1.13.0 | 0.93386 | 7,500/7,500 | $0.07463 | 0.141 |
+| gpt-5.6-terra | 0.91759 | 7,445/7,500 | $2.72939 | 2.300 |
+| claude-sonnet-5 | 0.90798 | 7,436/7,500 | $7.59240 | 2.125 |
+| claude-haiku-4-5 | 0.90350 | 7,468/7,500 | $7.91799 | 12.008 |
+| gpt-5.6-luna | 0.88725 | 7,423/7,500 | $0.32674 | 2.281 |
+| together/deepseek-ai/DeepSeek-V4-Pro-0813 | 0.86267 | 7,245/7,500 | $5.60110 | 9.227 |
+| together/deepseek-ai/DeepSeek-V4-Flash-0731 | 0.83574 | 7,134/7,500 | $0.47691 | 7.094 |
+
+These are generated workplace documents and questions, not the original O*NET
+database tables.
+
+Targets are model-generated rather than human-verified ground truth. This benchmark
+is not a held-out evaluation of generalization.
+
+## License
+
+This dataset is licensed under the [Apache License 2.0](LICENSE).

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data/run_results.parquet

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+size 27707224

dataset.json

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+{
+  "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,
+      "n_attempted": 7500,
+      "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,
+      "n_attempted": 7500,
+      "n_success": 7500,
+      "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,
+        "choice": 0.8927175020412451
+      },
+      "n_questions": 7500,
+      "n_attempted": 7500,
+      "n_success": 7445,
+      "coverage": 0.9926666666666667,
+      "mean_cost_usd": 0.0027293862103931568,
+      "mean_latency_seconds": 2.29967142700925,
+      "noul_choice_intelligence": 0.9139293464504319
+    },
+    {
+      "model": "claude-sonnet-5",
+      "performance": 0.9079808918488589,
+      "performance_by_type": {
+        "score": 0.9036401041666666,
+        "noul": 0.9650241265766235,
+        "choice": 0.8552784448032865
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+      "n_questions": 7500,
+      "n_attempted": 7500,
+      "n_success": 7436,
+      "coverage": 0.9914666666666667,
+      "mean_cost_usd": 0.007592400959472535,
+      "mean_latency_seconds": 2.12478524004624,
+      "noul_choice_intelligence": 0.910151285689955
+    },
+    {
+      "model": "claude-haiku-4-5",
+      "performance": 0.9035035026815222,
+      "performance_by_type": {
+        "score": 0.9113067233846727,
+        "noul": 0.9650818493170924,
+        "choice": 0.8341219353428018
+      },
+      "n_questions": 7500,
+      "n_attempted": 7500,
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+      "coverage": 0.9957333333333334,
+      "mean_cost_usd": 0.007917993456078158,
+      "mean_latency_seconds": 12.008255460545069,
+      "noul_choice_intelligence": 0.8996018923299471
+    },
+    {
+      "model": "gpt-5.6-luna",
+      "performance": 0.8872510609062104,
+      "performance_by_type": {
+        "score": 0.9209288194444444,
+        "noul": 0.8568023935976207,
+        "choice": 0.8840219696765663
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+      "n_questions": 7500,
+      "n_attempted": 7500,
+      "n_success": 7423,
+      "coverage": 0.9897333333333334,
+      "mean_cost_usd": 0.0003267434637582414,
+      "mean_latency_seconds": 2.2808704825279094,
+      "noul_choice_intelligence": 0.8704121816370936
+    },
+    {
+      "model": "together/deepseek-ai/DeepSeek-V4-Pro-0813",
+      "performance": 0.8626701433889304,
+      "performance_by_type": {
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+        "noul": 0.9226089291931936,
+        "choice": 0.7907650426402644
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+      "n_questions": 7500,
+      "n_attempted": 7500,
+      "n_success": 7245,
+      "coverage": 0.966,
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+      "noul_choice_intelligence": 0.856686985916729
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+    {
+      "model": "together/deepseek-ai/DeepSeek-V4-Flash-0731",
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+      "mean_latency_seconds": 7.093775876500854,
+      "noul_choice_intelligence": 0.836914810548542
+    }
+  ],
+  "runs": {
+    "onet-1e874db29e083252": {
+      "model": {
+        "name": "claude-haiku-4-5",
+        "provider": "anthropic",
+        "reasoning_effort": "default",
+        "question_mode": "one"
+      },
+      "cases": 150,
+      "questions": 7500,
+      "scores": [
+        {
+          "metric_id": "overall_performance",
+          "value": 0.9035035026815222,
+          "denominator": 7500,
+          "aggregation": "equal question-type means"
+        },
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