Datasets:
metadata
pretty_name: procedural-typed-decisions
language:
- en
license: apache-2.0
task_categories:
- text-classification
tags:
- tasksource
- jev
- system-one
- procedural
- synthetic
- multi-question
configs:
- config_name: arithmetic
data_files:
- split: train
path: arithmetic/train-*
- split: validation
path: arithmetic/validation-*
- split: test
path: arithmetic/test-*
- config_name: entity_belief_tracking
data_files:
- split: train
path: entity_belief_tracking/train-*
- split: validation
path: entity_belief_tracking/validation-*
- split: test
path: entity_belief_tracking/test-*
- config_name: event_state_reconstruction
data_files:
- split: train
path: event_state_reconstruction/train-*
- split: validation
path: event_state_reconstruction/validation-*
- split: test
path: event_state_reconstruction/test-*
- config_name: evidence_sufficiency
data_files:
- split: train
path: evidence_sufficiency/train-*
- split: validation
path: evidence_sufficiency/validation-*
- split: test
path: evidence_sufficiency/test-*
- config_name: multi_view_adjudication
data_files:
- split: train
path: multi_view_adjudication/train-*
- split: validation
path: multi_view_adjudication/validation-*
- split: test
path: multi_view_adjudication/test-*
- config_name: needle_retrieval
data_files:
- split: train
path: needle_retrieval/train-*
- split: validation
path: needle_retrieval/validation-*
- split: test
path: needle_retrieval/test-*
- config_name: partial_observation_calibration
data_files:
- split: train
path: partial_observation_calibration/train-*
- split: validation
path: partial_observation_calibration/validation-*
- split: test
path: partial_observation_calibration/test-*
- config_name: policy_applicability
data_files:
- split: train
path: policy_applicability/train-*
- split: validation
path: policy_applicability/validation-*
- split: test
path: policy_applicability/test-*
- config_name: policy_under_uncertainty
data_files:
- split: train
path: policy_under_uncertainty/train-*
- split: validation
path: policy_under_uncertainty/validation-*
- split: test
path: policy_under_uncertainty/test-*
- config_name: record_aggregation
data_files:
- split: train
path: record_aggregation/train-*
- split: validation
path: record_aggregation/validation-*
- split: test
path: record_aggregation/test-*
- config_name: state_perturbation
data_files:
- split: train
path: state_perturbation/train-*.parquet
- split: validation
path: state_perturbation/validation-*.parquet
- split: test
path: state_perturbation/test-*.parquet
- config_name: table_lookup
data_files:
- split: train
path: table_lookup/train-*.parquet
- split: validation
path: table_lookup/validation-*.parquet
- split: test
path: table_lookup/test-*.parquet
dataset_info:
- config_name: arithmetic
features:
- name: id
dtype: string
- name: level
dtype: int32
- name: state
dtype: string
- name: questions
dtype: string
- name: answers
dtype: string
- name: starts_before_noon
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
'10': '10'
- name: done_by_deadline
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
- name: random_is_long
dtype: float32
- name: longest_task
dtype:
class_label:
names:
'0': backup check
'1': design sync
'2': inventory check
'3': report writing
'4': client call
'5': email triage
'6': planning
'7': standup
'8': interviews
'9': code review
- name: largest_line
dtype:
class_label:
names:
'0': kettle
'1': lamp
'2': mug
'3': clock
'4': scarf
'5': drill
'6': tent
'7': chair
'8': vase
'9': rope
- name: lines_above
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
'10': '10'
- name: random_line_bulk
dtype: float32
- name: within_budget
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
- name: amount_due
dtype: string
- name: budget_use
dtype:
class_label:
names:
'0': At most half of the budget.
'1': More than half of the budget, but within it.
'2': Over the budget.
- name: final_balance
dtype: string
- name: went_negative
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
- name: withdrawal_count
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
'10': '10'
- name: net_change
dtype:
class_label:
names:
'0': Fell by more than 50.
'1': Changed by 50 or less.
'2': Rose by more than 50.
- name: random_is_deposit
dtype: float32
- name: finish_time
dtype: string
- name: lowest_day
dtype:
class_label:
names:
'0': day 2
'1': day 12
'2': day 15
'3': day 18
'4': day 19
'5': day 20
'6': day 23
'7': day 25
'8': day 26
'9': day 27
'10': day 1
'11': day 6
'12': day 7
'13': day 9
'14': day 3
'15': day 5
'16': day 8
'17': day 24
'18': day 28
'19': day 4
'20': day 14
'21': day 17
'22': day 10
'23': day 13
'24': day 22
'25': day 11
'26': day 21
'27': day 16
splits:
- name: train
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num_examples: 20000
- name: validation
num_bytes: 1541040
num_examples: 1000
- name: test
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num_examples: 1000
download_size: 6078317
dataset_size: 33966363
- config_name: entity_belief_tracking
features:
- name: id
dtype: string
- name: level
dtype: int32
- name: state
dtype: string
- name: questions
dtype: string
- name: answers
dtype: string
- name: world_location
dtype:
class_label:
names:
'0': desk
'1': locker
'2': archive
'3': lab
- name: agent_belief_location
dtype:
class_label:
names:
'0': desk
'1': locker
'2': archive
'3': lab
- name: belief_matches_world
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
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- name: validation
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num_examples: 1000
- name: test
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download_size: 2965367
dataset_size: 41868034
- config_name: event_state_reconstruction
features:
- name: id
dtype: string
- name: level
dtype: int32
- name: state
dtype: string
- name: questions
dtype: string
- name: answers
dtype: string
- name: current_owner
dtype:
class_label:
names:
'0': alice
'1': bob
'2': carol
'3': unassigned
- name: is_open
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
- name: current_severity
dtype:
class_label:
names:
'0': Routine.
'1': Degraded service requiring attention.
'2': Critical user-blocking incident.
splits:
- name: train
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num_examples: 20000
- name: validation
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num_examples: 1000
- name: test
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num_examples: 1000
download_size: 2525516
dataset_size: 38391122
- config_name: evidence_sufficiency
features:
- name: id
dtype: string
- name: level
dtype: int32
- name: state
dtype: string
- name: questions
dtype: string
- name: answers
dtype: string
- name: claim_supported
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
- name: has_conflict
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
- name: strongest_support_origin
dtype:
class_label:
names:
'0': S1
'1': S2
'2': S3
'3': S4
'4': S5
'5': S6
'6': S7
'7': none
splits:
- name: train
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num_examples: 20000
- name: validation
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num_examples: 1000
- name: test
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num_examples: 1000
download_size: 2905110
dataset_size: 42031020
- config_name: multi_view_adjudication
features:
- name: id
dtype: string
- name: level
dtype: int32
- name: state
dtype: string
- name: questions
dtype: string
- name: answers
dtype: string
- name: intent
dtype:
class_label:
names:
'0': billing
'1': access
'2': technical
'3': other
- name: is_urgent
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
- name: workflow_impact
dtype:
class_label:
names:
'0': Minor inconvenience; normal work can continue.
'1': Important workflow is degraded but a workaround exists.
'2': Core work is blocked and no workaround is available.
splits:
- name: train
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num_examples: 20000
- name: validation
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num_examples: 1000
- name: test
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num_examples: 1000
download_size: 5184471
dataset_size: 70573973
- config_name: needle_retrieval
features:
- name: id
dtype: string
- name: level
dtype: int32
- name: state
dtype: string
- name: questions
dtype: string
- name: answers
dtype: string
- name: value_of_id
dtype:
class_label:
names:
'0': Cusco
'1': Quito
'2': Dakar
'3': Accra
'4': Osaka
'5': Thies
'6': Lagos
'7': Tunis
'8': Lima
'9': Perth
'10': Kobe
'11': Hanoi
'12': Cuenca
'13': Hue
'14': Braga
'15': Porto
'16': Oslo
'17': Darwin
'18': Bergen
'19': Sfax
- name: id_has_value
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
- name: id_listed
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
splits:
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- name: validation
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- name: test
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download_size: 20003641
dataset_size: 66750990
- config_name: partial_observation_calibration
features:
- name: id
dtype: string
- name: level
dtype: int32
- name: state
dtype: string
- name: questions
dtype: string
- name: answers
dtype: string
- name: incident_real
dtype: float32
splits:
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- name: validation
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num_examples: 1000
- name: test
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download_size: 1237474
dataset_size: 19559377
- config_name: policy_applicability
features:
- name: id
dtype: string
- name: level
dtype: int32
- name: state
dtype: string
- name: questions
dtype: string
- name: answers
dtype: string
- name: access_allowed
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
- name: governing_policy
dtype:
class_label:
names:
'0': P1
'1': P2
'2': P3
'3': P4
'4': P5
'5': P6
'6': P7
'7': P8
- name: review_risk
dtype:
class_label:
names:
'0': Routine policy outcome.
'1': Sensitive or exceptional outcome requiring review.
'2': Denied high-risk request or policy conflict.
splits:
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num_examples: 20000
- name: validation
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- name: test
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download_size: 5068565
dataset_size: 58052951
- config_name: policy_under_uncertainty
features:
- name: id
dtype: string
- name: level
dtype: int32
- name: state
dtype: string
- name: questions
dtype: string
- name: answers
dtype: string
- name: access_allowed
dtype: float32
- name: governing_policy
dtype:
class_label:
names:
'0': P1
'1': P2
'2': P3
'3': P4
'4': P5
'5': P6
'6': none (default deny)
- name: requester_role
dtype:
class_label:
names:
'0': analyst
'1': engineer
'2': manager
splits:
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- name: validation
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download_size: 7127107
dataset_size: 59886738
- config_name: record_aggregation
features:
- name: id
dtype: string
- name: level
dtype: int32
- name: state
dtype: string
- name: questions
dtype: string
- name: answers
dtype: string
- name: count_in_category
dtype:
class_label:
names:
'0': '0'
'1': '1'
'2': '2'
'3': '3'
'4': '4'
'5': '5'
'6': '6'
'7': '7'
'8': '8'
'9': '9'
'10': '10'
'11': '11'
'12': '12'
'13': '13'
'14': '14'
'15': '15'
'16': '16'
'17': '17'
'18': '18'
'19': '19'
'20': '20'
- name: largest_quantity
dtype:
class_label:
names:
'0': purple scarf
'1': gray kettle
'2': green mug
'3': yellow scarf
'4': gray mug
'5': brown clock
'6': orange scarf
'7': brown chair
'8': orange rope
'9': black rope
'10': white tent
'11': red clock
'12': white chair
'13': gray lamp
'14': green chair
'15': white drill
'16': white vase
'17': yellow clock
'18': yellow chair
'19': brown lamp
'20': white scarf
'21': orange tent
'22': red kettle
'23': green lamp
'24': white lamp
'25': yellow kettle
'26': red lamp
'27': green vase
'28': yellow lamp
'29': orange vase
'30': yellow vase
'31': orange mug
'32': blue mug
'33': green clock
'34': white clock
'35': gray rope
'36': yellow rope
'37': brown tent
'38': purple drill
'39': gray clock
'40': yellow tent
'41': purple clock
'42': blue scarf
'43': orange clock
'44': black kettle
'45': white mug
'46': green kettle
'47': yellow mug
'48': gray tent
'49': red rope
'50': gray scarf
'51': gray drill
'52': gray chair
'53': purple tent
'54': orange drill
'55': black tent
'56': purple vase
'57': red mug
'58': blue kettle
'59': white rope
'60': blue tent
'61': black drill
'62': gray vase
'63': green scarf
'64': black lamp
'65': brown rope
'66': blue drill
'67': red tent
'68': orange chair
'69': brown scarf
'70': blue lamp
'71': green rope
'72': orange kettle
'73': brown kettle
'74': black vase
'75': red scarf
'76': purple rope
'77': black clock
'78': red drill
'79': orange lamp
'80': green tent
'81': blue clock
'82': white kettle
'83': red chair
'84': blue rope
'85': brown vase
'86': purple kettle
'87': red vase
'88': blue chair
'89': purple mug
'90': black mug
'91': purple chair
'92': yellow drill
'93': brown drill
'94': blue vase
'95': purple lamp
'96': brown mug
'97': black chair
'98': black scarf
'99': green drill
- name: any_out_of_stock
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
- name: total_above
dtype:
class_label:
names:
'0': 'false'
'1': 'true'
splits:
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num_examples: 20000
- name: validation
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num_examples: 1000
- name: test
num_bytes: 2752423
num_examples: 1000
download_size: 10034412
dataset_size: 60868035
procedural-typed-decisions
Procedurally generated decision problems. Each row is one structured state
(JSON, or a table, CSV, key=value lines, or prose for the arithmetic,
retrieval, and aggregation configs) with several typed questions over that same state, following the
Jev / System One request shape: choice (pick one criterion), noul (a
number in [0, 1]; a probability or a yes/no), and score (an ordered rubric).
Every answer is computed exactly from the state by rules that the state
itself spells out, so the labels are noise-free.
This is an independent dataset. It is not an official TypeSafe Jev dataset and is not produced by or affiliated with TypeSafe or OpenJev.
Configs
| config | questions |
|---|---|
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) |
entity_belief_tracking |
world_location (choice), agent_belief_location (choice), belief_matches_world (noul) |
event_state_reconstruction |
current_owner (choice), is_open (noul), current_severity (score) |
evidence_sufficiency |
claim_supported (noul), has_conflict (noul), strongest_support_origin (choice) |
multi_view_adjudication |
intent (choice), is_urgent (noul), workflow_impact (score) |
needle_retrieval |
value_of_id (choice), id_has_value (noul), id_listed (noul); up to ~300 records whose ids differ from the target by one or two digits |
partial_observation_calibration |
incident_real (noul, exact Bayesian posterior) |
policy_applicability |
access_allowed (noul), governing_policy (choice), review_risk (score) |
record_aggregation |
count_in_category (score), largest_quantity (choice), any_out_of_stock (noul), total_above (noul) |
state_perturbation |
material_change (noul), changed_dimension (choice), risk_direction (score) |
table_lookup |
find_person (choice, two-condition filter), manager_of (choice, join), started_before (noul), count_matching (score) |
Schema
| field | meaning |
|---|---|
id |
task:split:index |
level |
Difficulty level (0–4); larger levels add events, records, sensors, or distractors. |
state |
The state: a JSON string, or rendered text for the retrieval and aggregation configs. |
questions |
JSON object of named System One questions (type, instructions, criteria). |
answers |
JSON object of reference answers, in the System One answers shape. |
| 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). |
States are unique within a split, and validation/test states never occur in train.
Use
As a multi-question Jev request, send {"state": row["state"], "questions": json.loads(row["questions"])} (parsing the state first when it is JSON) and
compare with row["answers"].
The same rows are included, grouped by state, in
tasksource/tasksource-jev-typed-decisions.
Reproduction
Generation is deterministic (row i of a split is seeded by task:split:i).
From a tasksource checkout:
PYTHONPATH=.:src python scripts/build_procedural_jev.py --output build/procedural-typed-decisions --upload
Generators live in src/tasksource/jev/procedural/.