docs(tasks): [Experimental] Exploratory proposal and examples for EveryEvalEver (E3) integration - #1053
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joaquinvanschoren
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Sep 28, 2026
…ssant Tasks + E3 examples (#1052) ## Summary (Experimental Prototype) Adds an experimental prototype **Croissant Tasks (CT) Visualizer** (`tasks/index.html` and `tasks/examples/every_eval_ever/index.html`) styled after the MLCommons Croissant 1.1 Dataset Visualizer (`datasets/static/visualizer.js`) to help inspect and discuss the 6 exploratory E3 -> CT examples on GitHub Pages: - **GitHub Pages Preview Routes**: - `https://docs.mlcommons.org/croissant/tasks/` - `https://docs.mlcommons.org/croissant/tasks/examples/every_eval_ever/`
ccl-core
approved these changes
Oct 5, 2026
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Summary (Experimental / Exploratory RFC)
What this explores
tasks/docs/e3_croissant_tasks_integration.md):croissant:TaskProblemand run-specific logs intocroissant:TaskSolution(orcroissant:Task).cr:FileObject(application/jsonlines,schema:sha256),cr:RecordSetwith nestedcr:subField,sc:Enumerationrecordsets for discrete grading rubrics, andcr:examples(@type: @json)—alongsideschema:QuantitativeValue, W3CPROV-O, and OBO FoundrySTATOfor statistical uncertainty (standardError,confidenceInterval,sampleSize).tasks/croissant-tasks.ttl,tasks/croissant-tasks-shapes.ttl):croissant:lowerIsBetter(xsd:boolean, defaultfalse) andcroissant:MetricSpec.tasks/examples/every_eval_ever/*.jsonld):mmlu_pro_problem.jsonld,mmlu_pro_solution_kimi_k2.jsonld,mmlu_pro_combined_task.jsonld(CoT MCQ + regex extraction)intercode_ctf_agentic_task.jsonld(Agentic Docker sandbox +bash/pythontool calls)vectara_hallucination_task.jsonld(croissant:lowerIsBetter: true+ 7 domaincroissant:subTasksplits)simpleqa_llm_judge_task.jsonld(LLM-as-a-JudgeGPT-4o+sc:Enumerationrubric levels)