Add tasksource-jev-typed-decisions dataset card
Browse files
README.md
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- decision-model
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size_categories:
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- 1M<n<10M
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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- config_name: full
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data_files:
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path: full/train-*
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path: full/validation-*
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- split: test
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path: full/test-*
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dataset_info:
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- config_name: default
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features:
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- name: state
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dtype: string
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- name: kind
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dtype: string
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- name: id
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dtype: string
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- name: options
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list: string
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- name: target
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list: float64
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- name: question
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dtype: string
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- name: source
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dtype: string
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- name: variant
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dtype: string
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- name: split
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dtype: string
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- name: group_id
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dtype: string
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- name: question_id
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dtype: string
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- name: example_id
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dtype: string
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- name: license
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dtype: string
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- name: license_use
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dtype: string
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splits:
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- name: train
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num_bytes: 1539759841
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num_examples: 1006875
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- name: validation
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num_bytes: 25864050
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num_examples: 14620
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- name: test
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num_bytes: 22502046
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num_examples: 14829
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download_size: 669264666
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dataset_size: 1588125937
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- config_name: full
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features:
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- name: state
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dtype: string
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- name: kind
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dtype: string
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- name: id
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dtype: string
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- name: options
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list: string
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- name: target
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list: float64
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- name: question
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dtype: string
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- name: source
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dtype: string
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- name: variant
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dtype: string
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- name: split
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dtype: string
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- name: group_id
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dtype: string
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- name: question_id
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dtype: string
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- name: example_id
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dtype: string
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- name: license
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dtype: string
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- name: license_use
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dtype: string
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splits:
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- name: train
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num_bytes: 3825958901
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num_examples: 2507000
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- name: validation
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num_bytes: 27795181
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num_examples: 15700
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- name: test
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num_bytes: 23831256
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num_examples: 15700
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download_size: 1837838436
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dataset_size: 3877585338
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---
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# tasksource-jev-typed-decisions
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@@ -176,7 +74,7 @@ Rows sharing `group_id` can be assembled into a multi-question request. Vision i
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## Construction and evaluation
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Tasksource standardizes native labels and choices, adds task-specific questions where needed, and applies deterministic option permutations and low-frequency text variants. Some text rows pack related decisions over a shared state. A decision's majority label keeps at most three rows per row of its other labels (
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Native source partitions are retained where available; derived group-based holdouts and overlap exclusions are documented per source. These checks do not establish absence of all cross-dataset or benchmark contamination. For example, Mind2Web text tasks use derived holdouts from public training trajectories, not official benchmark tests; alignment with private Decision Index evaluation rows is unverified. Mind2Web is excluded from the visual config.
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- decision-model
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size_categories:
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- 1M<n<10M
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---
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# tasksource-jev-typed-decisions
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## Construction and evaluation
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+
Tasksource standardizes native labels and choices, adds task-specific questions where needed, and applies deterministic option permutations and low-frequency text variants. Some text rows pack related decisions over a shared state. A decision's majority label keeps at most three rows per row of its other labels (graded answers count as yes above 0.5; a question with a single label is dropped), so skewed binary sources such as answer selection or toxicity no longer reward always answering the common label; procedural questions keep each label under 60%. The visual config contains direct decisions and shares sampling budgets across related task views.
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Native source partitions are retained where available; derived group-based holdouts and overlap exclusions are documented per source. These checks do not establish absence of all cross-dataset or benchmark contamination. For example, Mind2Web text tasks use derived holdouts from public training trajectories, not official benchmark tests; alignment with private Decision Index evaluation rows is unverified. Mind2Web is excluded from the visual config.
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