Datasets:
Document procedural-typed-decisions configurations
Browse files
README.md
CHANGED
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@@ -16,11 +16,11 @@ configs:
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- config_name: arithmetic
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data_files:
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- split: train
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path: arithmetic/train-*
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- split: validation
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path: arithmetic/validation-*
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- split: test
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path: arithmetic/test-*
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- config_name: entity_belief_tracking
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data_files:
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- split: train
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path: table_lookup/validation-*.parquet
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- split: test
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path: table_lookup/test-*.parquet
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dataset_info:
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config_name: arithmetic
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features:
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- name: id
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dtype: string
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- name: level
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dtype: int32
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- name: state
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dtype: string
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- name: questions
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dtype: string
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- name: answers
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dtype: string
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- name: starts_before_noon
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dtype:
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class_label:
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names:
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'0': '0'
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'1': '1'
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'2': '2'
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'3': '3'
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'4': '4'
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'5': '5'
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'6': '6'
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'7': '7'
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'8': '8'
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'9': '9'
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'10': '10'
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- name: done_by_deadline
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dtype:
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class_label:
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names:
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'0': 'false'
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'1': 'true'
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- name: random_is_long
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dtype: float32
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- name: longest_task
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dtype:
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class_label:
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names:
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'0': backup check
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'1': design sync
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'2': inventory check
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'3': report writing
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'4': client call
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'5': email triage
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'6': planning
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'7': standup
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'8': interviews
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'9': code review
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- name: largest_line
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dtype:
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class_label:
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names:
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'0': kettle
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'1': lamp
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'2': mug
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'3': clock
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'4': scarf
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'5': drill
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'6': tent
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'7': chair
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'8': vase
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'9': rope
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- name: lines_above
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dtype:
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class_label:
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names:
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'0': '0'
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'1': '1'
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'2': '2'
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'3': '3'
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'4': '4'
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'5': '5'
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'6': '6'
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'7': '7'
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'8': '8'
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'9': '9'
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'10': '10'
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- name: random_line_bulk
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dtype: float32
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- name: within_budget
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dtype:
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class_label:
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names:
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'0': 'false'
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'1': 'true'
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- name: amount_due
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dtype: string
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- name: budget_use
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dtype:
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class_label:
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names:
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'0': At most half of the budget.
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'1': More than half of the budget, but within it.
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'2': Over the budget.
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- name: final_balance
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dtype: string
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- name: went_negative
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dtype:
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class_label:
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names:
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'0': 'false'
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'1': 'true'
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- name: withdrawal_count
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dtype:
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class_label:
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names:
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'0': '0'
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'1': '1'
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'2': '2'
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'3': '3'
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'4': '4'
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'5': '5'
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'6': '6'
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'7': '7'
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'8': '8'
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'9': '9'
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'10': '10'
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- name: net_change
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dtype:
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class_label:
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names:
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'0': Fell by more than 50.
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'1': Changed by 50 or less.
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'2': Rose by more than 50.
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- name: random_is_deposit
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dtype: float32
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- name: finish_time
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dtype: string
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- name: lowest_day
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dtype:
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class_label:
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names:
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'0': day 2
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'1': day 12
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'2': day 15
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'3': day 18
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'4': day 19
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'5': day 20
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'6': day 23
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'7': day 25
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'8': day 26
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'9': day 27
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'10': day 1
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'11': day 6
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'12': day 7
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'13': day 9
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'14': day 3
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'15': day 5
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'16': day 8
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'17': day 24
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'18': day 28
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'19': day 4
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'20': day 14
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'21': day 17
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'22': day 10
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'23': day 13
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'24': day 22
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'25': day 11
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'26': day 21
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'27': day 16
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splits:
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- name: train
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num_bytes: 30877562
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num_examples: 20000
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- name: validation
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num_bytes: 1541040
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num_examples: 1000
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- name: test
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num_bytes: 1547761
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num_examples: 1000
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download_size: 6078317
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dataset_size: 33966363
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---
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# procedural-typed-decisions
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Procedurally generated decision problems. Each row is one structured state
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(JSON, or a table, CSV, key=value lines, or prose for the
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aggregation configs) with **several typed questions over that same state**, following the
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Jev / System One request shape: `choice` (pick one criterion), `noul` (a
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number in [0, 1]; a probability or a yes/no), and `score` (an ordered rubric).
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Every answer is computed exactly from the state by rules that the state
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@@ -294,6 +120,7 @@ is not produced by or affiliated with TypeSafe or OpenJev.
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| config | questions |
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|---|---|
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| `entity_belief_tracking` | `world_location` (choice), `agent_belief_location` (choice), `belief_matches_world` (noul) |
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| `event_state_reconstruction` | `current_owner` (choice), `is_open` (noul), `current_severity` (score) |
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| `evidence_sufficiency` | `claim_supported` (noul), `has_conflict` (noul), `strongest_support_origin` (choice) |
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| `state` | The state: a JSON string, or rendered text for the retrieval and aggregation configs. |
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| `questions` | JSON object of named System One questions (`type`, `instructions`, `criteria`). |
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| `answers` | JSON object of reference answers, in the System One `answers` shape. |
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| one column per question | Flat label, for browsing and filtering: a `ClassLabel` for choice, score, and yes/no noul questions; a float for graded noul (`incident_real`). |
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States are unique within a split, and validation/test states never occur in
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train.
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## Use
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As a multi-question Jev request, send `{"state":
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-
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The same rows are included, grouped by state, in
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[`tasksource/tasksource-jev-typed-decisions`](https://huggingface.co/datasets/tasksource/tasksource-jev-typed-decisions).
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- config_name: arithmetic
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data_files:
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- split: train
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path: arithmetic/train-*.parquet
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- split: validation
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path: arithmetic/validation-*.parquet
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- split: test
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path: arithmetic/test-*.parquet
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- config_name: entity_belief_tracking
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data_files:
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- split: train
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path: table_lookup/validation-*.parquet
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- split: test
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path: table_lookup/test-*.parquet
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---
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# procedural-typed-decisions
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| 107 |
|
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Procedurally generated decision problems. Each row is one structured state
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+
(JSON, or a table, CSV, key=value lines, or prose for the arithmetic,
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+
retrieval, and aggregation configs) with **several typed questions over that same state**, following the
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Jev / System One request shape: `choice` (pick one criterion), `noul` (a
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number in [0, 1]; a probability or a yes/no), and `score` (an ordered rubric).
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Every answer is computed exactly from the state by rules that the state
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| config | questions |
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|---|---|
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+
| `arithmetic` | An order with a discount/shipping rule, an account ledger, or a schedule; each state asks 2–5 of: `amount_due` / `final_balance` / `finish_time` (choice among the result and typical slips), `within_budget`, `went_negative`, `done_by_deadline` (noul), `random_line_bulk`, `random_is_deposit`, `random_is_long` (noul, exact probability k/n), `budget_use`, `net_change` (score, descriptive levels), `lines_above`, `withdrawal_count`, `starts_before_noon` (score), `largest_line`, `lowest_day`, `longest_task` (choice) |
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| `entity_belief_tracking` | `world_location` (choice), `agent_belief_location` (choice), `belief_matches_world` (noul) |
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| `event_state_reconstruction` | `current_owner` (choice), `is_open` (noul), `current_severity` (score) |
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| `evidence_sufficiency` | `claim_supported` (noul), `has_conflict` (noul), `strongest_support_origin` (choice) |
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| `state` | The state: a JSON string, or rendered text for the retrieval and aggregation configs. |
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| `questions` | JSON object of named System One questions (`type`, `instructions`, `criteria`). |
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| 143 |
| `answers` | JSON object of reference answers, in the System One `answers` shape. |
|
| 144 |
+
| one column per question | Flat label, for browsing and filtering: a `ClassLabel` for choice, score, and yes/no noul questions; a float for graded noul (`incident_real`, `random_*`); the option text for open numeric choices (`amount_due`, `final_balance`, `finish_time`). Null when the state does not ask that question (`arithmetic` only). |
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States are unique within a split, and validation/test states never occur in
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train.
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## Use
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+
As a multi-question Jev request, send `{"state": row["state"], "questions":
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+
json.loads(row["questions"])}` (parsing the state first when it is JSON) and
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+
compare with `row["answers"]`.
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The same rows are included, grouped by state, in
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| 155 |
[`tasksource/tasksource-jev-typed-decisions`](https://huggingface.co/datasets/tasksource/tasksource-jev-typed-decisions).
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| 156 |
|