---
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-*
  - split: validation
    path: state_perturbation/validation-*
  - split: test
    path: state_perturbation/test-*
- 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
    num_bytes: 30877562
    num_examples: 20000
  - name: validation
    num_bytes: 1541040
    num_examples: 1000
  - name: test
    num_bytes: 1547761
    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'
  splits:
  - name: train
    num_bytes: 38066460
    num_examples: 20000
  - name: validation
    num_bytes: 1906806
    num_examples: 1000
  - name: test
    num_bytes: 1894768
    num_examples: 1000
  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
    num_bytes: 34904934
    num_examples: 20000
  - name: validation
    num_bytes: 1747994
    num_examples: 1000
  - name: test
    num_bytes: 1738194
    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
    num_bytes: 38220061
    num_examples: 20000
  - name: validation
    num_bytes: 1906368
    num_examples: 1000
  - name: test
    num_bytes: 1904591
    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
    num_bytes: 64158247
    num_examples: 20000
  - name: validation
    num_bytes: 3208122
    num_examples: 1000
  - name: test
    num_bytes: 3207604
    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:
  - name: train
    num_bytes: 60554236
    num_examples: 20000
  - name: validation
    num_bytes: 3012062
    num_examples: 1000
  - name: test
    num_bytes: 3184692
    num_examples: 1000
  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:
  - name: train
    num_bytes: 17712369
    num_examples: 20000
  - name: validation
    num_bytes: 924994
    num_examples: 1000
  - name: test
    num_bytes: 922014
    num_examples: 1000
  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:
  - name: train
    num_bytes: 52765925
    num_examples: 20000
  - name: validation
    num_bytes: 2637812
    num_examples: 1000
  - name: test
    num_bytes: 2649214
    num_examples: 1000
  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:
  - name: train
    num_bytes: 54431576
    num_examples: 20000
  - name: validation
    num_bytes: 2728020
    num_examples: 1000
  - name: test
    num_bytes: 2727142
    num_examples: 1000
  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:
  - name: train
    num_bytes: 55344851
    num_examples: 20000
  - name: validation
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    num_examples: 1000
  - name: test
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    num_examples: 1000
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  dataset_size: 60868035
- config_name: state_perturbation
  features:
  - name: id
    dtype: string
  - name: level
    dtype: int32
  - name: state
    dtype: string
  - name: questions
    dtype: string
  - name: answers
    dtype: string
  - name: material_change
    dtype:
      class_label:
        names:
          '0': 'false'
          '1': 'true'
  - name: changed_dimension
    dtype:
      class_label:
        names:
          '0': authorization
          '1': status
          '2': financial
          '3': ownership
          '4': none
  - name: risk_direction
    dtype:
      class_label:
        names:
          '0': Lower operational risk than before.
          '1': No material risk change.
          '2': Higher operational risk than before.
  splits:
  - name: train
    num_bytes: 38252367
    num_examples: 20000
  - name: validation
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    num_examples: 1000
  - name: test
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    num_examples: 1000
  download_size: 1668611
  dataset_size: 42075697
---

# 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`](https://huggingface.co/datasets/tasksource/tasksource-jev-typed-decisions).

## Reproduction

Generation is deterministic (row `i` of a split is seeded by `task:split:i`).
From a [tasksource](https://github.com/sileod/tasksource) checkout:

```bash
PYTHONPATH=.:src python scripts/build_procedural_jev.py --output build/procedural-typed-decisions --upload
```

Generators live in `src/tasksource/jev/procedural/`.