---
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-*.parquet
  - split: validation
    path: record_aggregation/validation-*.parquet
  - split: test
    path: record_aggregation/test-*.parquet
- 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
- config_name: taxonomy_routing
  data_files:
  - split: train
    path: taxonomy_routing/train-*.parquet
  - split: validation
    path: taxonomy_routing/validation-*.parquet
  - split: test
    path: taxonomy_routing/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'
  - 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: 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'
  - 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: 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: random_line_bulk
    dtype: float32
  - name: amount_due
    dtype: string
  - 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'
  - name: within_budget
    dtype:
      class_label:
        names:
          '0': 'false'
          '1': 'true'
  - name: finish_time
    dtype: string
  - name: lowest_day
    dtype:
      class_label:
        names:
          '0': day 6
          '1': day 9
          '2': day 11
          '3': day 12
          '4': day 14
          '5': day 19
          '6': day 21
          '7': day 27
          '8': day 28
          '9': day 1
          '10': day 7
          '11': day 23
          '12': day 2
          '13': day 4
          '14': day 5
          '15': day 8
          '16': day 15
          '17': day 26
          '18': day 3
          '19': day 24
          '20': day 10
          '21': day 17
          '22': day 20
          '23': day 25
          '24': day 13
          '25': day 22
          '26': day 18
          '27': day 16
  splits:
  - name: train
    num_bytes: 30451778
    num_examples: 20000
  - name: validation
    num_bytes: 1523943
    num_examples: 1000
  - name: test
    num_bytes: 1532948
    num_examples: 1000
  download_size: 6033465
  dataset_size: 33508669
- 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': drawer
          '1': garage
          '2': office
          '3': mailroom
          '4': attic
          '5': desk
          '6': vault
          '7': shelf
          '8': archive
          '9': basement
          '10': lab
          '11': workshop
          '12': kitchen
          '13': cabinet
          '14': locker
          '15': studio
  - name: agent_belief_location
    dtype:
      class_label:
        names:
          '0': drawer
          '1': garage
          '2': office
          '3': mailroom
          '4': attic
          '5': desk
          '6': vault
          '7': shelf
          '8': archive
          '9': basement
          '10': lab
          '11': workshop
          '12': kitchen
          '13': cabinet
          '14': locker
          '15': studio
  - name: belief_matches_world
    dtype:
      class_label:
        names:
          '0': 'false'
          '1': 'true'
  - name: nested_belief_location
    dtype:
      class_label:
        names:
          '0': vault
          '1': attic
          '2': kitchen
          '3': shelf
          '4': studio
          '5': workshop
          '6': drawer
          '7': archive
          '8': office
          '9': cabinet
          '10': mailroom
          '11': basement
          '12': locker
          '13': lab
          '14': desk
          '15': garage
  splits:
  - name: train
    num_bytes: 63267692
    num_examples: 20000
  - name: validation
    num_bytes: 3156820
    num_examples: 1000
  - name: test
    num_bytes: 3148978
    num_examples: 1000
  download_size: 8544749
  dataset_size: 69573490
- 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: Routine.'
          '1': 'degraded: Degraded service requiring attention.'
          '2': 'critical: Critical user-blocking incident.'
  splits:
  - name: train
    num_bytes: 36609261
    num_examples: 20000
  - name: validation
    num_bytes: 1831324
    num_examples: 1000
  - name: test
    num_bytes: 1816662
    num_examples: 1000
  download_size: 2640808
  dataset_size: 40257247
- 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': S8
          '8': S9
          '9': S10
          '10': S11
          '11': none
  splits:
  - name: train
    num_bytes: 46868273
    num_examples: 20000
  - name: validation
    num_bytes: 2316373
    num_examples: 1000
  - name: test
    num_bytes: 2323580
    num_examples: 1000
  download_size: 4437229
  dataset_size: 51508226
- 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': 'Level 0: no affected feature is down or slow.'
          '1': 'Level 1: some affected feature is down or slow, but no core feature
            is down without a documented workaround.'
          '2': 'Level 2: a core feature is down and has no documented workaround.'
  splits:
  - name: train
    num_bytes: 67196466
    num_examples: 20000
  - name: validation
    num_bytes: 3358902
    num_examples: 1000
  - name: test
    num_bytes: 3360362
    num_examples: 1000
  download_size: 5465651
  dataset_size: 73915730
- 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': Accra
          '1': Lagos
          '2': Darwin
          '3': Sfax
          '4': Kobe
          '5': Oslo
          '6': Osaka
          '7': Hue
          '8': Hanoi
          '9': Dakar
          '10': Quito
          '11': Bergen
          '12': Thies
          '13': Porto
          '14': Perth
          '15': Cuenca
          '16': Cusco
          '17': Tunis
          '18': Braga
          '19': Lima
  - 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
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    num_examples: 20000
  - name: validation
    num_bytes: 3356651
    num_examples: 1000
  - name: test
    num_bytes: 3621452
    num_examples: 1000
  download_size: 22383302
  dataset_size: 74616968
- 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: 19530752
    num_examples: 20000
  - name: validation
    num_bytes: 1027142
    num_examples: 1000
  - name: test
    num_bytes: 1023034
    num_examples: 1000
  download_size: 1413191
  dataset_size: 21580928
- 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
          '8': P9
          '9': P10
          '10': P11
          '11': P12
          '12': P13
          '13': P14
          '14': P15
  - name: review_risk
    dtype:
      class_label:
        names:
          '0': 'Level 0: the resource is not restricted and the matching policies
            agree on effect.'
          '1': 'Level 1: the resource is restricted, but the governing policy allows
            it and the matching policies agree on effect.'
          '2': 'Level 2: the governing policy denies a restricted resource, or the
            matching policies disagree on effect.'
  splits:
  - name: train
    num_bytes: 65224900
    num_examples: 20000
  - name: validation
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    num_examples: 1000
  - name: test
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    num_examples: 1000
  download_size: 5241696
  dataset_size: 71815382
- 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': P7
          '7': P8
          '8': P9
          '9': P10
          '10': none (default deny)
  - name: requester_role
    dtype:
      class_label:
        names:
          '0': analyst
          '1': engineer
          '2': manager
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  - 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: 8009266
  dataset_size: 66357811
---

# 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. Several configs vary the number of options
(4 to 60), to balance the binary and 4–6-option questions that dominate the rest of Jev.

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); 4 to 16 locations |
| `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; 6 to 20 options |
| `partial_observation_calibration` | `incident_real` (noul, exact Bayesian posterior) |
| `policy_applicability` | `access_allowed` (noul), `governing_policy` (choice), `review_risk` (score) |
| `policy_under_uncertainty` | `access_allowed` (noul), `governing_policy` (choice), `requester_role` (choice); exact posteriors over a role known through history counts and reports of stated reliability |
| `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; 6 to 40 options, capped by the table), `manager_of` (choice, join), `started_before` (noul), `count_matching` (score) |
| `taxonomy_routing` | `route` (choice among the 4–60 categories of a routing guide drawn fresh per state; many rules share a condition with the right one), `belongs_to` (noul), `conditions_met` (score, 0–3) |

## 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/`.