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name: 'Select office location: Zhejiang / Hangzhou / West Lake'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: In the Office location field, select Zhejiang / Hangzhou / West Lake. The task will finish automatically when done.
ui_copy: 'Office location: select Zhejiang / Hangzhou / West Lake. The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Component: a single AntD Cascader input labeled “Office location” with placeholder “Please select”.
Behavior: clicking the input opens a 3-column dropdown (province → city → landmark). Selection is committed immediately when the final (leaf) item is clicked.
Options shown (representative):
- Zhejiang → Hangzhou → West Lake
- Jiangsu → Nanjing → Zhong Hua Men
Initial state: no selection (placeholder visible).
Distractors: none; only helper text under the field describing what a cascader is.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: easy
tier: L0
axes_ratings:
precision_requirement: 2
target_acquisition: 2
density_choice_interference: 1
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 1
disambiguation_load: 1
justification: Small option tree with clear labels and a single instance; the main challenge is completing the full 3-level path selection.
success_trigger:
human_readable:
- The only Cascader on the page has selected path labels exactly equal to [Zhejiang, Hangzhou, West Lake].
- The selected path values exactly equal ['zhejiang','hangzhou','xihu'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Zhejiang
- Hangzhou
- West Lake
path_values:
- zhejiang
- hangzhou
- xihu
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting Zhejiang or Zhejiang / Hangzhou but not selecting the final leaf (West Lake).
- Selecting the wrong province/city/landmark path (e.g., Jiangsu / Nanjing / Zhong Hua Men).
- Typing text elsewhere or interacting with non-target UI (there is none) without setting the cascader value.
expected_interaction_path:
- Click the Office location cascader input to open the dropdown.
- Click Zhejiang in the first column.
- Click Hangzhou in the second column.
- Click West Lake in the third column to commit the selection.
notes: |-
Instrumentation: add data-testid='office-location-cascader' on the Cascader root.
Checker: read the committed value array from the Cascader control (value path), not just the visible text.
- id: cascader-antd-T02
name: Change preferred warehouse to Europe / Germany / Berlin
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: open_and_select
secondary_template: null
browsergym_goal: Change the Preferred warehouse selection to Europe / Germany / Berlin. The task will finish automatically when done.
ui_copy: 'Preferred warehouse: set to Europe / Germany / Berlin. The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Preferred warehouse”.
Initial state: pre-selected value shown in the input as “Americas / USA / New York”.
Options: a 3-level geography tree (Region → Country → City) with a few entries:
- Americas → USA → New York, Chicago
- Americas → Canada → Toronto
- Europe → Germany → Berlin
Behavior: selecting a new leaf replaces the existing selection immediately.
Distractors: a short paragraph explaining that this selection affects shipping estimates.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: easy
tier: L0
axes_ratings:
precision_requirement: 2
target_acquisition: 2
density_choice_interference: 2
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 1
disambiguation_load: 1
justification: There is a single field and a small tree; the only extra step is replacing an existing default value.
success_trigger:
human_readable:
- The Preferred warehouse Cascader value path equals Europe → Germany → Berlin.
- The committed value array equals ['europe','de','berlin'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Europe
- Germany
- Berlin
path_values:
- europe
- de
- berlin
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Leaving the default selection unchanged (Americas / USA / New York).
- Selecting Europe / Germany but not selecting Berlin (partial path).
- Selecting the wrong city (e.g., Toronto or Chicago).
expected_interaction_path:
- Click the Preferred warehouse cascader input to open the dropdown.
- Click Europe → Germany → Berlin to commit the new selection.
notes: |-
Instrumentation: data-testid='preferred-warehouse-cascader'.
Checker should assert the underlying value path, not just the rendered string.
- id: cascader-antd-T03
name: Clear the Product category selection
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: clear_reset
secondary_template: null
browsergym_goal: Clear the selection in the Product category field so it is blank. The task will finish automatically when done.
ui_copy: 'Product category: clear the selection (leave it blank). The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Product category” with allowClear enabled.
Initial state: the cascader currently shows “Electronics / Computers / Laptops”.
UI details: when the input is hovered, a small clear (×) icon appears on the right side of the input.
Behavior: clicking the clear icon removes the selection and returns the input to the placeholder state.
Distractors: none.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: easy
tier: L0
axes_ratings:
precision_requirement: 1
target_acquisition: 2
density_choice_interference: 1
depth_layering: 1
feedback_dynamics: 1
semantic_observability: 1
disambiguation_load: 1
justification: Single-field reset using the built-in clear affordance; no navigation through options is needed.
success_trigger:
human_readable:
- Product category Cascader has no selected value (empty / null value path).
- The placeholder is visible and no selection tags/text are present.
canonical_predicate:
predicate_type: equals
target_state:
value: null
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Opening the dropdown but leaving the existing selection intact.
- Selecting a different category instead of clearing.
- Clearing the wrong field (there is only one cascader on the page).
expected_interaction_path:
- Hover the Product category input if needed to reveal the clear icon.
- Click the clear (×) icon to reset the cascader to blank.
notes: |-
Instrumentation: data-testid='product-category-cascader'.
Checker: treat both null and empty-array value as 'no selection' depending on the adapter.
- id: cascader-antd-T04
name: 'Inline panel: select Engineering / Frontend / Web Platform'
canonical_type: cascader
implementation_source: antd
implementation_variant: panel
implementation_component: 'AntD: Cascader.Panel'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: In the Team routing panel, select Engineering / Frontend / Web Platform. The task will finish automatically when done.
ui_copy: 'Team routing: select Engineering / Frontend / Web Platform. The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Component: an inline AntD Cascader.Panel labeled “Team routing” (always visible; no trigger input).
Panel layout: three adjacent columns are shown at once (Department → Team → Subteam).
Options (representative):
- Engineering → Frontend → Web Platform, Design Systems
- Engineering → Backend → Payments, Data
- Operations → IT → Helpdesk
Initial state: nothing selected in the panel.
Distractors: none; the panel is the only interactive component in the card.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: easy
tier: L0
axes_ratings:
precision_requirement: 2
target_acquisition: 2
density_choice_interference: 2
depth_layering: 1
feedback_dynamics: 1
semantic_observability: 1
disambiguation_load: 1
justification: Inline panel avoids overlay management; the agent only needs to click through a short 3-level hierarchy.
success_trigger:
human_readable:
- The Cascader.Panel selected path labels equal [Engineering, Frontend, Web Platform].
- The selected path values equal ['eng','fe','web-platform'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Engineering
- Frontend
- Web Platform
path_values:
- eng
- fe
- web-platform
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting a different subteam (e.g., Engineering / Frontend / Design Systems).
- Stopping at a non-leaf level (e.g., selecting Engineering only).
- Interacting with the page without changing the panel selection.
expected_interaction_path:
- In the first column, click Engineering.
- In the second column, click Frontend.
- In the third column, click Web Platform.
notes: |-
Instrumentation: data-testid='team-routing-cascader-panel'.
Checker: read the committed selection from the panel state; selection occurs on leaf click.
- id: cascader-antd-T05
name: 'Dark theme: pick Europe / France / Paris'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: In the Travel destination field, select Europe / France / Paris. The task will finish automatically when done.
ui_copy: 'Travel destination: choose Europe / France / Paris. The task will finish automatically when done.'
setup_description: |-
Theme: dark.
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Travel destination”.
Options: Region → Country → City with a small set:
- Europe → France → Paris
- Europe → Spain → Madrid
- Asia → Japan → Tokyo
Initial state: empty (placeholder visible).
Distractors: none.
scene_context:
theme: dark
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: easy
tier: L0
axes_ratings:
precision_requirement: 2
target_acquisition: 2
density_choice_interference: 1
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 2
disambiguation_load: 1
justification: Same simple 3-level selection as the baseline, but in dark theme which can slightly reduce visual salience.
success_trigger:
human_readable:
- Travel destination cascader selected path labels equal [Europe, France, Paris].
- Selected path values equal ['europe','fr','paris'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Europe
- France
- Paris
path_values:
- europe
- fr
- paris
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting the wrong city (Madrid or Tokyo).
- Stopping before the leaf city is selected.
- Leaving the cascader blank.
expected_interaction_path:
- Click the Travel destination input to open the dropdown.
- Click Europe → France → Paris.
notes: 'Instrumentation: data-testid=''travel-destination-cascader''.'
- id: cascader-antd-T06
name: 'Two instances: set Primary office to North America / Canada / Vancouver'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: Set the Primary office field to North America / Canada / Vancouver. The task will finish automatically when done.
ui_copy: 'Primary office: North America / Canada / Vancouver. The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Components: two AntD Cascader inputs using the same options tree.
1) “Primary office” (target)
2) “Backup office” (distractor)
Options: Continent → Country → City:
- North America → USA → Seattle, Austin
- North America → Canada → Vancouver, Montreal
- Europe → UK → London
Initial state: Primary office is blank; Backup office is preselected to “Europe / UK / London”.
Distractors: the two fields are visually similar; only the label distinguishes them.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 2
guidance: text
clutter: none
difficulty:
difficulty_bucket: easy
tier: L1
axes_ratings:
precision_requirement: 2
target_acquisition: 2
density_choice_interference: 2
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 1
disambiguation_load: 3
justification: Selection is straightforward, but there are two identical cascaders so the agent must target the correct labeled instance.
success_trigger:
human_readable:
- The cascader labeled “Primary office” has selected path labels [North America, Canada, Vancouver].
- The cascader labeled “Backup office” may remain unchanged.
- Primary office selected path values equal ['na','ca','vancouver'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- North America
- Canada
- Vancouver
path_values:
- na
- ca
- vancouver
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: true
target_instance_label_or_id: primary-office
terminal_condition: task ends when predicate holds
negative_cases:
- Setting the Backup office instead of Primary office.
- Selecting North America / Canada but choosing Montreal instead of Vancouver.
- Leaving Primary office blank.
expected_interaction_path:
- Locate the cascader input labeled Primary office.
- Open it and select North America → Canada → Vancouver.
notes: |-
Instrumentation: data-testid='cascader-primary-office' and data-testid='cascader-backup-office'.
Checker: ensure correct-instance by binding to label or testid, not by DOM order.
- id: cascader-antd-T07
name: Match the Target breadcrumb for Selected service
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (show full path display)'
task_template: match_reference
secondary_template: null
browsergym_goal: Set Selected service to match the breadcrumb shown in the Target path box. The task will finish automatically when done.
ui_copy: Match Selected service to the Target path shown. The task will finish automatically when done.
setup_description: |-
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Selected service”.
Guidance element: a non-interactive “Target path” preview box above the cascader showing a styled breadcrumb with the desired path (e.g., Services › Consulting › Security Review).
Options tree: Service line → Offering → Package:
- Services → Consulting → Security Review (target)
- Services → Consulting → Architecture Review
- Services → Support → Priority Support
Initial state: Selected service is blank.
Distractors: an extra note that explains the breadcrumb is the target reference.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: visual
clutter: none
difficulty:
difficulty_bucket: easy
tier: L1
axes_ratings:
precision_requirement: 2
target_acquisition: 2
density_choice_interference: 2
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 3
disambiguation_load: 1
justification: Requires mapping a visual breadcrumb reference to the cascader selection, but the option set is small and there is only one field.
success_trigger:
human_readable:
- Selected service cascader selected path equals the Target path breadcrumb shown on the page.
- The selected path labels equal [Services, Consulting, Security Review].
- The selected path values equal ['services','consulting','security-review'].
canonical_predicate:
predicate_type: matches_reference
target_state:
reference_element_id: target-path-breadcrumb
path_labels:
- Services
- Consulting
- Security Review
path_values:
- services
- consulting
- security-review
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting a different consulting package (e.g., Architecture Review).
- Selecting only part of the path (stopping before the leaf).
- Leaving the cascader blank while the Target breadcrumb remains visible.
expected_interaction_path:
- Read the Target path breadcrumb in the reference box.
- Open Selected service cascader and click Services → Consulting → Security Review.
notes: |-
Instrumentation: data-testid='selected-service-cascader' and data-testid='target-path-breadcrumb'.
Checker: for matches_reference, compare cascader value path to the reference breadcrumb’s canonical path.
- id: cascader-antd-T08
name: Open the Support topic cascader dropdown (leave it open)
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: open_overlay
secondary_template: null
browsergym_goal: Open the Support topic cascader so the dropdown options are visible, and leave it open. The task will finish automatically when done.
ui_copy: 'Support topic: open the dropdown (do not select anything). The task will finish automatically when done.'
setup_description: |-
Layout: isolated card anchored near the top-right of the viewport.
Component: one AntD Cascader input labeled “Support topic”, initially blank.
Options: Topic → Subtopic → Detail (examples):
- Account → Billing → Refunds
- Account → Login → Password reset
- Product → Mobile → Crashes
Behavior: clicking the input opens a floating multi-column dropdown. Clicking outside closes it.
Goal of this task: only the open/closed state matters; no selection should be made.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: top_right
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: easy
tier: L0
axes_ratings:
precision_requirement: 1
target_acquisition: 2
density_choice_interference: 1
depth_layering: 1
feedback_dynamics: 1
semantic_observability: 2
disambiguation_load: 1
justification: Tests basic ability to open an overlay without making any selection; otherwise a simple single-instance setup.
success_trigger:
human_readable:
- The Support topic cascader dropdown is open/visible (popup rendered).
- The cascader still has no committed selection (value is null/empty).
canonical_predicate:
predicate_type: equals
target_state:
open: true
value: null
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting any option in the cascader (even if the dropdown is open).
- Opening the dropdown and then closing it before the checker runs (open=false).
- Interacting with other UI (none) while leaving the cascader closed.
expected_interaction_path:
- Click the Support topic cascader input to open the dropdown.
- Do not click any option; keep the dropdown open.
notes: |-
Instrumentation: data-testid='support-topic-cascader'.
Checker: determine open state via presence of the popup element bound to this cascader instance.
- id: cascader-antd-T09
name: 'Compact spacing: select America / New York'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (size=middle)'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: In the Timezone field, select America / New York. The task will finish automatically when done.
ui_copy: 'Timezone: America / New York. The task will finish automatically when done.'
setup_description: |-
Spacing: compact mode (reduced padding between labels and controls).
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Timezone”.
Options: Region → City (2 levels):
- America → New York, Los Angeles
- Europe → London
Initial state: blank.
Distractors: none.
scene_context:
theme: light
spacing: compact
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: easy
tier: L1
axes_ratings:
precision_requirement: 2
target_acquisition: 3
density_choice_interference: 1
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 1
disambiguation_load: 1
justification: Compact spacing reduces click target size slightly, but the hierarchy is shallow and the options are few.
success_trigger:
human_readable:
- Timezone cascader selected path labels equal [America, New York].
- Selected path values equal ['america','new-york'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- America
- New York
path_values:
- america
- new-york
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting America / Los Angeles.
- Selecting Europe / London.
- Leaving the field blank.
expected_interaction_path:
- Open the Timezone cascader.
- Click America, then click New York.
notes: 'Instrumentation: data-testid=''timezone-cascader''.'
- id: cascader-antd-T10
name: 'Search and select: South Campus / Art Studio (top-left placement)'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (showSearch=true)'
task_template: search_and_select
secondary_template: null
browsergym_goal: Use the search in the Campus building selector to choose South Campus / Art Studio. The task will finish automatically when done.
ui_copy: 'Campus building: search and pick South Campus / Art Studio. The task will finish automatically when done.'
setup_description: |-
Layout: isolated card anchored near the top-left of the viewport.
Component: one AntD Cascader labeled “Campus building” with showSearch enabled.
UI behavior: opening the cascader reveals a search input; typing filters the available paths.
Options: Campus → Building:
- North Campus → Science Hall, Library
- South Campus → Gym, Art Studio (target)
Initial state: blank.
Distractors: the dropdown still supports manual column navigation, but the intent is to use search.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: top_left
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: easy
tier: L1
axes_ratings:
precision_requirement: 2
target_acquisition: 2
density_choice_interference: 2
depth_layering: 3
feedback_dynamics: 2
semantic_observability: 2
disambiguation_load: 1
justification: Adds a search box interaction step, but the filtered results are few and the target is unique.
success_trigger:
human_readable:
- Campus building cascader selected path labels equal [South Campus, Art Studio].
- Selected path values equal ['south','art-studio'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- South Campus
- Art Studio
path_values:
- south
- art-studio
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Typing in the search box but not selecting a result (no committed value).
- Selecting South Campus / Gym.
- Selecting a North Campus building.
expected_interaction_path:
- Open the Campus building cascader dropdown.
- Type a query like “Art” in the search input.
- Click the result path for South Campus / Art Studio.
notes: |-
Instrumentation: data-testid='campus-building-cascader'.
Checker: verify committed value path; do not accept merely having search text present.
- id: cascader-antd-T11
name: 'Two instances: set Billing region to United States / California / San Jose'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: Set the Billing region field to United States / California / San Jose. The task will finish automatically when done.
ui_copy: 'Billing region: United States / California / San Jose. The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Components: two similar AntD Cascader inputs stacked vertically:
1) “Shipping region” (distractor)
2) “Billing region” (target)
Options: Country → State/Territory → City, with several similar city names:
- United States → California → San Jose (target), San Diego
- United States → Texas → San Antonio
- Puerto Rico → (territory) → San Juan
Initial state: Shipping region is set to “Puerto Rico / San Juan”; Billing region is blank.
Distractors: multiple cities start with “San …”, so reading the full path is required.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 2
guidance: text
clutter: none
difficulty:
difficulty_bucket: mid
tier: L1
axes_ratings:
precision_requirement: 3
target_acquisition: 2
density_choice_interference: 3
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 2
disambiguation_load: 3
justification: Requires disambiguating between similar city names and choosing the correct labeled field among two instances.
success_trigger:
human_readable:
- The cascader labeled “Billing region” has selected path labels [United States, California, San Jose].
- Billing region selected path values equal ['us','ca','san-jose'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- United States
- California
- San Jose
path_values:
- us
- ca
- san-jose
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: true
target_instance_label_or_id: billing-region
terminal_condition: task ends when predicate holds
negative_cases:
- Setting Shipping region instead of Billing region.
- Selecting a different “San …” city (San Diego, San Antonio, or San Juan).
- Stopping at United States / California without selecting the city leaf.
expected_interaction_path:
- Locate the Billing region cascader (not Shipping region).
- Open it and select United States → California → San Jose.
notes: |-
Instrumentation: data-testid='shipping-region-cascader' and data-testid='billing-region-cascader'.
Checker: enforce correct instance by testid/label binding.
- id: cascader-antd-T12
name: 'Mixed guidance: match Target breadcrumb for Cost center'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: match_reference
secondary_template: null
browsergym_goal: Set Cost center to match the Target breadcrumb shown on the page (it starts with “Finance”). The task will finish automatically when done.
ui_copy: 'Cost center: match the Target breadcrumb (starts with Finance). The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Cost center”.
Guidance elements:
- A “Target” breadcrumb preview directly above the field showing the full desired path as styled crumb chips.
- A small text hint under the preview: “Target starts with Finance”.
Options tree: Division → Department → Team:
- Finance → Accounting → Accounts Payable (target)
- Finance → Accounting → Accounts Receivable
- Finance → FP&A → Forecasting
- Operations → Procurement → Vendor Management
Initial state: blank.
Distractors: Finance has multiple similar teams under Accounting.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: mixed
clutter: none
difficulty:
difficulty_bucket: mid
tier: L1
axes_ratings:
precision_requirement: 2
target_acquisition: 2
density_choice_interference: 2
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 3
disambiguation_load: 1
justification: The target is given via a reference breadcrumb plus a hint; difficulty comes from comparing the reference and selecting among similar Finance teams.
success_trigger:
human_readable:
- Cost center cascader selected path equals the Target breadcrumb reference.
- Selected path labels equal [Finance, Accounting, Accounts Payable].
- Selected path values equal ['finance','acct','ap'].
canonical_predicate:
predicate_type: matches_reference
target_state:
reference_element_id: target-cost-center-breadcrumb
path_labels:
- Finance
- Accounting
- Accounts Payable
path_values:
- finance
- acct
- ap
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting Accounts Receivable instead of Accounts Payable.
- Selecting a Finance path that does not match the Target breadcrumb.
- Leaving the field blank.
expected_interaction_path:
- Read the Target breadcrumb (and optional hint).
- Open Cost center cascader and select Finance → Accounting → Accounts Payable.
notes: |-
Instrumentation: data-testid='cost-center-cascader' and data-testid='target-cost-center-breadcrumb'.
Checker: compare cascader value path to the reference breadcrumb’s canonical path.
- id: cascader-antd-T13
name: 'Form section: set Department to Engineering / Platform / Infrastructure'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: In the Project intake form, set Department to Engineering / Platform / Infrastructure. The task will finish automatically when done.
ui_copy: 'Project intake: Department = Engineering / Platform / Infrastructure. The task will finish automatically when done.'
setup_description: |-
Layout: form section (a realistic intake form) centered on the page.
Clutter: low — there are several non-required fields.
Components on the form:
- Text input: “Project name” (pre-filled)
- Select: “Priority” (default set)
- Cascader (target): “Department”
Department options: Division → Group → Team:
- Engineering → Platform → Infrastructure (target), Developer Experience
- Engineering → Product → Web, Mobile
- Sales → Enterprise → North America
Initial state: Department is blank.
Behavior: Department cascader commits on leaf click; no Save/Submit is required for this task.
scene_context:
theme: light
spacing: comfortable
layout: form_section
placement: center
scale: default
instances: 1
guidance: text
clutter: low
difficulty:
difficulty_bucket: mid
tier: L1
axes_ratings:
precision_requirement: 2
target_acquisition: 2
density_choice_interference: 2
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 1
disambiguation_load: 2
justification: Additional form fields add mild distraction, but the cascader options are modest and clearly labeled.
success_trigger:
human_readable:
- Department cascader selected path labels equal [Engineering, Platform, Infrastructure].
- Selected path values equal ['eng','platform','infra'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Engineering
- Platform
- Infrastructure
path_values:
- eng
- platform
- infra
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting Engineering / Platform / Developer Experience.
- Selecting Engineering / Product / Web or another branch.
- Changing other form fields while leaving Department unset.
expected_interaction_path:
- Locate the Department cascader in the form.
- Open it and select Engineering → Platform → Infrastructure.
notes: 'Instrumentation: data-testid=''department-cascader''.'
- id: cascader-antd-T14
name: 'Dashboard filter: set Product taxonomy to Home / Kitchen / Coffee Makers'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: open_and_select
secondary_template: null
browsergym_goal: On the analytics dashboard, set the Product taxonomy filter to Home / Kitchen / Coffee Makers. The task will finish automatically when done.
ui_copy: 'Dashboard filter: Product taxonomy = Home / Kitchen / Coffee Makers. The task will finish automatically when done.'
setup_description: |-
Layout: dashboard with a top filter bar.
Clutter: medium — multiple filters and charts are present.
Target component: an AntD Cascader in the filter bar labeled “Product taxonomy”.
Other UI (distractors): a date range picker, a keyword search box, a region select, and several summary charts.
Taxonomy options: Category → Subcategory → Product type:
- Home → Kitchen → Coffee Makers (target), Cookware, Cutlery
- Home → Lighting → Lamps
- Electronics → Audio → Headphones
Initial state: Product taxonomy is blank (interpreted as “All”).
scene_context:
theme: light
spacing: comfortable
layout: dashboard
placement: center
scale: default
instances: 1
guidance: text
clutter: medium
difficulty:
difficulty_bucket: mid
tier: L1
axes_ratings:
precision_requirement: 2
target_acquisition: 2
density_choice_interference: 3
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 1
disambiguation_load: 3
justification: The dashboard context adds competing interactive elements and a moderately dense taxonomy, but the target leaf is still easy to identify.
success_trigger:
human_readable:
- Product taxonomy cascader selected path labels equal [Home, Kitchen, Coffee Makers].
- Selected path values equal ['home','kitchen','coffee-makers'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Home
- Kitchen
- Coffee Makers
path_values:
- home
- kitchen
- coffee-makers
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting Home / Kitchen / Cookware (neighbor leaf).
- Interacting with other filters without setting Product taxonomy.
- Leaving the filter at blank/all.
expected_interaction_path:
- Find the Product taxonomy cascader in the dashboard filter bar.
- Open it and choose Home → Kitchen → Coffee Makers.
notes: |-
Instrumentation: data-testid='product-taxonomy-cascader'.
Robustness: ensure charts are non-blocking and do not overlap the dropdown.
- id: cascader-antd-T15
name: 'Cancel out: open Delivery zone and close without changing'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: confirm_cancel
secondary_template: null
browsergym_goal: Open the Delivery zone selector, then close it without changing the current selection (keep EMEA / UK / London). The task will finish automatically when done.
ui_copy: 'Delivery zone: open then cancel (keep EMEA / UK / London). The task will finish automatically when done.'
setup_description: |-
Layout: isolated card anchored near the bottom-left of the viewport.
Component: one AntD Cascader labeled “Delivery zone”.
Initial state: already selected to “EMEA / UK / London”.
Options: Region → Country → City:
- EMEA → UK → London (current)
- EMEA → UAE → Dubai
- Americas → USA → New York
Behavior: opening the dropdown shows columns; clicking outside (or pressing Escape) closes the dropdown. Selection only changes if a new leaf is clicked.
Goal: ensure the dropdown ends closed and the committed selection remains unchanged.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: bottom_left
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: mid
tier: L1
axes_ratings:
precision_requirement: 2
target_acquisition: 2
density_choice_interference: 2
depth_layering: 2
feedback_dynamics: 2
semantic_observability: 3
disambiguation_load: 1
justification: Requires managing overlay open/close while preserving the existing selection; success depends on both value and popup visibility.
success_trigger:
human_readable:
- Delivery zone cascader dropdown is closed (open=false).
- The committed selection remains exactly EMEA / UK / London with values ['emea','uk','london'].
canonical_predicate:
predicate_type: equals
target_state:
open: false
path_labels:
- EMEA
- UK
- London
path_values:
- emea
- uk
- london
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Changing the selection to a different city (e.g., Dubai).
- Leaving the dropdown open at the end.
- Clearing the value or making the field blank.
expected_interaction_path:
- Click the Delivery zone input to open the dropdown.
- Close the dropdown by clicking outside or pressing Escape, without selecting a new option.
notes: |-
Instrumentation: data-testid='delivery-zone-cascader'.
Checker: must verify both selection value and open state to distinguish 'cancel' from 'do nothing'.
- id: cascader-antd-T16
name: 'Small scale: select Hardware / Networking / Routers'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (size=small)'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: In the Asset category field, select Hardware / Networking / Routers. The task will finish automatically when done.
ui_copy: 'Asset category: Hardware / Networking / Routers. The task will finish automatically when done.'
setup_description: |-
Scale: small (the cascader input uses AntD size='small').
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Asset category”.
Options: Category → Subcategory → Type:
- Hardware → Networking → Routers (target), Switches
- Hardware → Computing → Laptops
- Software → Security → Antivirus
Initial state: blank.
Distractors: none, but the smaller control reduces target size.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: small
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: mid
tier: L1
axes_ratings:
precision_requirement: 2
target_acquisition: 3
density_choice_interference: 2
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 1
disambiguation_load: 1
justification: Small scale increases pointing difficulty, while the hierarchy remains moderate and unambiguous.
success_trigger:
human_readable:
- Asset category selected path labels equal [Hardware, Networking, Routers].
- Selected path values equal ['hw','net','routers'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Hardware
- Networking
- Routers
path_values:
- hw
- net
- routers
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting Hardware / Networking / Switches.
- Selecting a different top-level category (Software).
- Leaving the field blank.
expected_interaction_path:
- Open the Asset category cascader.
- Select Hardware → Networking → Routers.
notes: 'Instrumentation: data-testid=''asset-category-cascader''.'
- id: cascader-antd-T17
name: 'Search and select among similar results: United States / California / San Jose'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (showSearch=true)'
task_template: search_and_select
secondary_template: null
browsergym_goal: Use search in the City selector to choose United States / California / San Jose. The task will finish automatically when done.
ui_copy: 'City selector: search and pick United States / California / San Jose. The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “City” with showSearch enabled.
Options: Country → State/Territory → City. The dataset is larger and includes many cities starting with 'San':
- United States → California → San Jose (target), San Diego
- United States → Texas → San Antonio
- Puerto Rico → (territory) → San Juan
- United States → Florida → Sarasota
Search behavior: typing filters by path; results show full paths.
Initial state: blank.
Distractors: multiple search hits can appear for short queries like “San”.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: mid
tier: L2
axes_ratings:
precision_requirement: 3
target_acquisition: 2
density_choice_interference: 4
depth_layering: 3
feedback_dynamics: 2
semantic_observability: 2
disambiguation_load: 1
justification: Search narrows the list but introduces many confusable results; the agent must pick the correct full path from the filtered suggestions.
success_trigger:
human_readable:
- City cascader selected path labels equal [United States, California, San Jose].
- Selected path values equal ['us','ca','san-jose'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- United States
- California
- San Jose
path_values:
- us
- ca
- san-jose
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting a different 'San…' city (San Diego, San Antonio, or San Juan).
- Typing search text but not selecting any suggestion (no committed value).
- Selecting via columns but ending on the wrong leaf.
expected_interaction_path:
- Open the City cascader dropdown.
- Type a query like “San Jo” to reduce ambiguity.
- Click the suggestion for United States / California / San Jose.
notes: |-
Instrumentation: data-testid='city-cascader'.
Checker: verify committed value path; do not accept search text alone.
- id: cascader-antd-T18
name: 'Change-on-select: choose parent path Engineering / Platform'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (changeOnSelect=true)'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: In the Reporting scope field, select Engineering / Platform (you do not need to pick a leaf team). The task will finish automatically when done.
ui_copy: 'Reporting scope: Engineering / Platform. The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Reporting scope” configured with changeOnSelect=true.
Behavior: the value updates on each selection level; selecting a parent is allowed and commits immediately.
Options: Division → Group → Team:
- Engineering → Platform → Infrastructure, Developer Experience
- Engineering → Product → Web, Mobile
- Operations → IT → Helpdesk
Initial state: blank.
Key nuance: success requires stopping at the parent path “Engineering / Platform” (2 levels), not choosing a leaf team.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: mid
tier: L1
axes_ratings:
precision_requirement: 3
target_acquisition: 2
density_choice_interference: 2
depth_layering: 2
feedback_dynamics: 2
semantic_observability: 2
disambiguation_load: 1
justification: The component commits on intermediate selections, so the agent must intentionally stop at the correct parent depth instead of continuing to a leaf.
success_trigger:
human_readable:
- Reporting scope cascader selected path labels equal [Engineering, Platform] (exactly two levels).
- Selected path values equal ['eng','platform'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Engineering
- Platform
path_values:
- eng
- platform
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting Engineering / Platform / Infrastructure (too deep).
- Selecting Engineering / Product (wrong group).
- Leaving the field blank.
expected_interaction_path:
- Open the Reporting scope cascader.
- Click Engineering in the first column.
- Click Platform in the second column and stop (value commits at that level).
notes: 'Instrumentation: data-testid=''reporting-scope-cascader''.'
- id: cascader-antd-T19
name: 'Two instances: clear Secondary tag'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (allowClear=true)'
task_template: clear_reset
secondary_template: null
browsergym_goal: Clear the selection in the Secondary tag field so it becomes blank. The task will finish automatically when done.
ui_copy: 'Secondary tag: clear selection (blank). The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Components: two AntD Cascader inputs labeled “Primary tag” and “Secondary tag”. Both allow clearing.
Initial state:
- Primary tag is set to “Customer / Onboarding / High touch”.
- Secondary tag is set to “Region / EMEA / UK”. (target to clear)
UI behavior: each input shows a small clear icon (×) on hover.
Distractors: the two fields are visually similar; only the label distinguishes which one to clear.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 2
guidance: text
clutter: none
difficulty:
difficulty_bucket: mid
tier: L1
axes_ratings:
precision_requirement: 2
target_acquisition: 3
density_choice_interference: 1
depth_layering: 1
feedback_dynamics: 1
semantic_observability: 1
disambiguation_load: 3
justification: Clearing is simple but requires precise targeting of the clear icon on the correct instance.
success_trigger:
human_readable:
- The cascader labeled “Secondary tag” has no selected value (null/empty).
- The cascader labeled “Primary tag” may remain unchanged.
canonical_predicate:
predicate_type: equals
target_state:
value: null
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: true
target_instance_label_or_id: secondary-tag
terminal_condition: task ends when predicate holds
negative_cases:
- Clearing the Primary tag instead of Secondary tag.
- Leaving Secondary tag selected (Region / EMEA / UK).
- Selecting a different tag rather than clearing.
expected_interaction_path:
- Locate the Secondary tag cascader input.
- Hover if needed and click its clear (×) icon.
notes: |-
Instrumentation: data-testid='primary-tag-cascader' and data-testid='secondary-tag-cascader'.
Checker: enforce correct-instance; accept both null and empty-array representations for 'cleared'.
- id: cascader-antd-T20
name: 'Settings panel: choose Access scope in inline panel (4 levels)'
canonical_type: cascader
implementation_source: antd
implementation_variant: panel
implementation_component: 'AntD: Cascader.Panel'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: In the Access scope panel, select Organization / Europe / Dublin / Zone 2. The task will finish automatically when done.
ui_copy: 'Access scope: Organization / Europe / Dublin / Zone 2. The task will finish automatically when done.'
setup_description: |-
Layout: settings panel with multiple sections.
Clutter: low — there are a few toggles and helper texts, but only one cascader panel.
Target component: an inline AntD Cascader.Panel labeled “Access scope”.
Panel structure: four columns visible as you drill down (Scope → Region → Site → Zone).
Options (representative):
- Organization → North America → Seattle → Zone 1, Zone 2
- Organization → Europe → Dublin → Zone 1, Zone 2 (target)
- Team only → (no further levels)
Initial state: no selection.
Distractors: nearby switches like “Enable SSO” and “Read-only mode” are present but irrelevant.
scene_context:
theme: light
spacing: comfortable
layout: settings_panel
placement: center
scale: default
instances: 1
guidance: text
clutter: low
difficulty:
difficulty_bucket: mid
tier: L2
axes_ratings:
precision_requirement: 3
target_acquisition: 2
density_choice_interference: 3
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 2
disambiguation_load: 2
justification: Deeper 4-level hierarchy in an inline panel requires multiple precise selections, with mild distraction from surrounding settings UI.
success_trigger:
human_readable:
- Access scope panel selected path labels equal [Organization, Europe, Dublin, Zone 2].
- Selected path values equal ['org','eu','dublin','zone-2'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Organization
- Europe
- Dublin
- Zone 2
path_values:
- org
- eu
- dublin
- zone-2
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting Zone 1 instead of Zone 2 under Dublin.
- Selecting a different site (e.g., Seattle).
- Selecting 'Team only' (wrong top-level scope).
expected_interaction_path:
- In the Access scope panel, click Organization.
- Click Europe, then Dublin, then Zone 2.
notes: |-
Instrumentation: data-testid='access-scope-cascader-panel'.
Checker: path length must be 4 and match values exactly.
- id: cascader-antd-T21
name: 'Lazy-loaded options (dark): select Hardware / Printers / Setup'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (loadData)'
task_template: open_and_select
secondary_template: null
browsergym_goal: In the Knowledge base category field, select Hardware / Printers / Setup. The task will finish automatically when done.
ui_copy: 'Knowledge base category: Hardware / Printers / Setup. The task will finish automatically when done.'
setup_description: |-
Theme: dark.
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Knowledge base category”, configured with loadData for lazy loading.
Behavior: only the first column is populated initially. When a node is selected, the next column shows a loading spinner briefly and then renders fetched children.
Option structure (as it appears after loading):
- Hardware → Printers → Setup (target), Troubleshooting
- Hardware → Monitors → Calibration
- Software → VPN → Installation
Constraints: showSearch is disabled (not available with loadData).
Initial state: blank.
Feedback: a subtle loading indicator appears in the dropdown column while children load.
scene_context:
theme: dark
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: hard
tier: L2
axes_ratings:
precision_requirement: 3
target_acquisition: 2
density_choice_interference: 2
depth_layering: 3
feedback_dynamics: 4
semantic_observability: 2
disambiguation_load: 1
justification: Lazy loading introduces timing/feedback challenges; the agent must wait for each column to populate before making the next selection.
success_trigger:
human_readable:
- Knowledge base category selected path labels equal [Hardware, Printers, Setup].
- Selected path values equal ['hw','printers','setup'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Hardware
- Printers
- Setup
path_values:
- hw
- printers
- setup
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Clicking too quickly so the second/third column has not loaded, resulting in no committed leaf selection.
- Selecting Hardware / Printers / Troubleshooting instead of Setup.
- Selecting a Software category path.
expected_interaction_path:
- Open the Knowledge base category cascader dropdown.
- Click Hardware and wait for the next column to load.
- Click Printers and wait for the next column to load.
- Click Setup to commit.
notes: |-
Instrumentation: data-testid='kb-category-cascader'.
Checker: verify final committed value path; do not treat intermediate selections as success.
- id: cascader-antd-T22
name: 'Hover-to-expand in compact spacing: Tools / Power Tools / Sanders'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (expandTrigger=''hover'')'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: In the Inventory category field, select Tools / Power Tools / Sanders. The task will finish automatically when done.
ui_copy: 'Inventory category: Tools / Power Tools / Sanders. The task will finish automatically when done.'
setup_description: |-
Spacing: compact.
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Inventory category”, configured with expandTrigger='hover'.
Behavior: submenus open when the pointer hovers over an item in a column (not when it is clicked). The final leaf is selected by clicking.
Options: Department → Category → Item:
- Tools → Power Tools → Sanders (target), Drills
- Tools → Hand Tools → Hammers
- Supplies → Safety → Gloves
Initial state: blank.
Distractors: in compact mode, list items are shorter and closer together.
scene_context:
theme: light
spacing: compact
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: hard
tier: L3
axes_ratings:
precision_requirement: 3
target_acquisition: 4
density_choice_interference: 3
depth_layering: 3
feedback_dynamics: 2
semantic_observability: 2
disambiguation_load: 1
justification: Hover-based expansion is harder for agents than click expansion, and compact spacing reduces target size while navigating multi-column menus.
success_trigger:
human_readable:
- Inventory category selected path labels equal [Tools, Power Tools, Sanders].
- Selected path values equal ['tools','power-tools','sanders'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Tools
- Power Tools
- Sanders
path_values:
- tools
- power-tools
- sanders
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Clicking items expecting them to expand (without hovering) and failing to reach the correct submenu.
- Selecting Tools / Power Tools / Drills instead of Sanders.
- Selecting a different top-level branch (Supplies).
expected_interaction_path:
- Open the Inventory category cascader dropdown.
- Hover over Tools to open its submenu column.
- Hover over Power Tools to open the third column.
- Click Sanders to commit the leaf selection.
notes: |-
Instrumentation: data-testid='inventory-category-cascader'.
Checker: verify leaf value; hover interactions are not directly checked—only final path matters.
- id: cascader-antd-T23
name: 'Multiple mode: select exactly two cities (Paris and Osaka)'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (multiple=true, showCheckedStrategy=SHOW_CHILD)'
task_template: select_many
secondary_template: null
browsergym_goal: 'In the Cities included field, select exactly these two paths: Europe / France / Paris and Asia / Japan / Osaka. The task will finish automatically when done.'
ui_copy: 'Cities included: select Paris and Osaka (exactly two). The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Cities included” in multiple=true mode (checkboxes shown).
Display: showCheckedStrategy is set to SHOW_CHILD so selected leaf nodes appear as individual tags in the input.
Options: Continent → Country → City:
- Europe → France → Paris (target), Lyon
- Asia → Japan → Tokyo, Osaka (target)
- Americas → USA → New York, Chicago
Initial state: no selections.
Behavior: each leaf is selected by checking its checkbox (or clicking the item). Multiple selections can be made in one session.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: hard
tier: L2
axes_ratings:
precision_requirement: 4
target_acquisition: 3
density_choice_interference: 3
depth_layering: 3
feedback_dynamics: 2
semantic_observability: 3
disambiguation_load: 1
justification: Multiple selection requires exact set matching and careful checkbox interactions across different branches of the tree.
success_trigger:
human_readable:
- 'The Cities included cascader has selected exactly the set of two leaf paths: Europe/France/Paris and Asia/Japan/Osaka.'
- No additional paths are selected.
canonical_predicate:
predicate_type: set_equals
target_state:
selected_paths:
- path_labels:
- Europe
- France
- Paris
path_values:
- europe
- fr
- paris
- path_labels:
- Asia
- Japan
- Osaka
path_values:
- asia
- jp
- osaka
order_insensitive: true
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting only one of the two required cities.
- Selecting Paris and Tokyo (wrong Japan city) or adding any extra city.
- Selecting a parent node instead of the leaf city (if the UI allows it).
expected_interaction_path:
- Open the Cities included cascader dropdown.
- Navigate to Europe → France and check Paris.
- Navigate to Asia → Japan and check Osaka.
- Ensure only two tags/selections are present.
notes: |-
Instrumentation: data-testid='cities-included-cascader'.
Checker: compare sets of value paths (order-insensitive).
- id: cascader-antd-T24
name: 'Multiple mode (visual): match the two Target selections chips'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (multiple=true)'
task_template: select_many
secondary_template: null
browsergym_goal: In Teams included, select the same set of paths shown in the Target selections box. The task will finish automatically when done.
ui_copy: 'Teams included: match the Target selections shown. The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Teams included” in multiple=true mode.
Guidance element: a “Target selections” box above the cascader shows exactly two styled chips, each chip displaying a breadcrumb path (visual reference).
Options: Department → Team → Squad:
- Engineering → Backend → Payments (one target)
- Engineering → Frontend → Web Platform
- Marketing → Events → Conferences (one target)
- Marketing → Content → Blog
Initial state: no selections.
Distractors: other non-target squads exist under the same departments.
Important: the prompt does not list the paths; the agent must copy them from the on-page Target selections reference.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: visual
clutter: none
difficulty:
difficulty_bucket: hard
tier: L3
axes_ratings:
precision_requirement: 4
target_acquisition: 3
density_choice_interference: 3
depth_layering: 3
feedback_dynamics: 2
semantic_observability: 4
disambiguation_load: 1
justification: Requires interpreting a visual reference (target chips) and matching an exact multi-selection set within a hierarchy.
success_trigger:
human_readable:
- Teams included cascader selected set equals the two Target selections chips shown on the page.
- Selected paths are exactly [Engineering/Backend/Payments] and [Marketing/Events/Conferences], order-insensitive.
canonical_predicate:
predicate_type: matches_reference
target_state:
reference_element_id: target-selections-chips
selected_paths:
- path_labels:
- Engineering
- Backend
- Payments
path_values:
- eng
- be
- payments
- path_labels:
- Marketing
- Events
- Conferences
path_values:
- mkt
- events
- conferences
order_insensitive: true
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting only one of the two target paths.
- Selecting the correct two plus any additional path.
- Selecting a sibling like Engineering / Frontend / Web Platform instead of the backend payments squad.
expected_interaction_path:
- Read the two breadcrumb chips in the Target selections box.
- Open Teams included cascader and select/check each matching leaf path.
- Verify the selected tags match the two reference chips.
notes: |-
Instrumentation: data-testid='teams-included-cascader' and data-testid='target-selections-chips'.
Checker: compare selected set to reference chips’ canonical paths.
- id: cascader-antd-T25
name: 'Ambiguous leaf labels with leaf-only displayRender: choose Springfield (MA)'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (custom displayRender leaf-only)'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: In the Event city field, select USA / Massachusetts / Springfield. The task will finish automatically when done.
ui_copy: 'Event city: USA / Massachusetts / Springfield. The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Event city”.
Custom rendering: displayRender is customized to show ONLY the final leaf label in the input (e.g., it will display “Springfield”, not the full path).
Options: Country → State → City, with duplicate city names:
- USA → Illinois → Springfield
- USA → Massachusetts → Springfield (target)
- USA → Oregon → Portland
- USA → Maine → Portland
Initial state: blank.
Distractors: because the input displays only the leaf, the agent must rely on the dropdown columns to ensure the correct state/city branch.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: text
clutter: none
difficulty:
difficulty_bucket: hard
tier: L3
axes_ratings:
precision_requirement: 4
target_acquisition: 2
density_choice_interference: 4
depth_layering: 3
feedback_dynamics: 2
semantic_observability: 4
disambiguation_load: 1
justification: Duplicate leaf labels combined with leaf-only display reduces observability; correctness requires selecting the right branch in the dropdown, not trusting the input text alone.
success_trigger:
human_readable:
- Event city cascader selected path labels equal [USA, Massachusetts, Springfield].
- Selected path values equal ['us','ma','springfield-ma'] (distinct from the Illinois Springfield value).
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- USA
- Massachusetts
- Springfield
path_values:
- us
- ma
- springfield-ma
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting USA / Illinois / Springfield (wrong state).
- Selecting any Portland entry instead of Springfield.
- Selecting only USA / Massachusetts without choosing the city leaf.
expected_interaction_path:
- Open the Event city cascader dropdown.
- Select USA in the first column.
- Select Massachusetts in the second column.
- Select Springfield in the third column.
notes: |-
Instrumentation: data-testid='event-city-cascader'.
Checker: must use underlying value path (e.g., springfield-ma vs springfield-il) to disambiguate duplicates.
- id: cascader-antd-T26
name: 'Three instances: set Tertiary route to EU-West / Ireland / Zone 2'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: hierarchical_path_select
secondary_template: null
browsergym_goal: Set the Tertiary route field to EU-West / Ireland / Zone 2. The task will finish automatically when done.
ui_copy: 'Tertiary route: EU-West / Ireland / Zone 2. The task will finish automatically when done.'
setup_description: |-
Layout: isolated card centered on the page.
Components: three AntD Cascader inputs in a row, each labeled:
- Primary route
- Secondary route
- Tertiary route (target)
Options: Region → Country → Zone:
- US-East → USA → Zone 1, Zone 2
- EU-West → Ireland → Zone 1, Zone 2 (target)
- APAC → Singapore → Zone 1
Initial state:
- Primary route preselected: US-East / USA / Zone 1
- Secondary route preselected: APAC / Singapore / Zone 1
- Tertiary route blank
Distractors: three nearly identical inputs placed close together.
scene_context:
theme: light
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 3
guidance: text
clutter: none
difficulty:
difficulty_bucket: hard
tier: L2
axes_ratings:
precision_requirement: 3
target_acquisition: 2
density_choice_interference: 2
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 1
disambiguation_load: 5
justification: The option tree is moderate, but heavy disambiguation is required to operate the correct one of three adjacent cascader instances.
success_trigger:
human_readable:
- The cascader labeled “Tertiary route” has selected path labels [EU-West, Ireland, Zone 2].
- Tertiary route selected path values equal ['eu-west','ie','zone-2'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- EU-West
- Ireland
- Zone 2
path_values:
- eu-west
- ie
- zone-2
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: true
target_instance_label_or_id: tertiary-route
terminal_condition: task ends when predicate holds
negative_cases:
- Setting Primary route or Secondary route instead of Tertiary route.
- Selecting EU-West / Ireland / Zone 1 (wrong zone).
- Leaving Tertiary route blank.
expected_interaction_path:
- Locate the cascader labeled Tertiary route.
- Open it and select EU-West → Ireland → Zone 2.
notes: |-
Instrumentation: data-testid='route-primary-cascader', 'route-secondary-cascader', 'route-tertiary-cascader'.
Checker: enforce correct instance by testid/label.
- id: cascader-antd-T27
name: 'Table cell: set Assign to for ''Password reset'' rule'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (embedded in table cell)'
task_template: table_operation
secondary_template: null
browsergym_goal: In the routing rules table, set the Assign to field for the 'Password reset' row to Support / Tier 2 / Identity. The task will finish automatically when done.
ui_copy: 'Table edit: Password reset → Assign to = Support / Tier 2 / Identity. The task will finish automatically when done.'
setup_description: |-
Layout: table cell scenario.
Clutter: medium — a data table with multiple rows/columns plus a small toolbar (Search, Add rule) above it.
Table: “Routing rules” with rows like:
- Password reset (target row)
- Refund request
- App crash
Only the target row’s “Assign to” column contains an interactive AntD Cascader input; other rows display read-only text.
Cascader options: Department → Tier → Specialty:
- Support → Tier 1 → General
- Support → Tier 2 → Identity (target), Billing
- Engineering → On-call → Mobile
Initial state: target row currently shows “Support / Tier 1 / General”.
Behavior: selecting a leaf updates the cell immediately; no additional Save action is required.
scene_context:
theme: light
spacing: comfortable
layout: table_cell
placement: center
scale: default
instances: 1
guidance: text
clutter: medium
difficulty:
difficulty_bucket: hard
tier: L2
axes_ratings:
precision_requirement: 3
target_acquisition: 3
density_choice_interference: 2
depth_layering: 2
feedback_dynamics: 2
semantic_observability: 2
disambiguation_load: 4
justification: The cascader is embedded in a dense table context with multiple nearby controls; targeting the correct cell and option requires careful acquisition and disambiguation.
success_trigger:
human_readable:
- The Assign to cascader in the 'Password reset' row has selected path labels [Support, Tier 2, Identity].
- Selected path values equal ['support','t2','identity'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Support
- Tier 2
- Identity
path_values:
- support
- t2
- identity
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: true
target_instance_label_or_id: routing-table-password-reset-assign-to
terminal_condition: task ends when predicate holds
negative_cases:
- Changing a different row (if any other editable control is present).
- Selecting Support / Tier 2 / Billing (wrong specialty).
- Leaving the value at Support / Tier 1 / General.
expected_interaction_path:
- Locate the Password reset row and its Assign to cascader cell.
- Open the cascader dropdown.
- Select Support → Tier 2 → Identity.
notes: |-
Instrumentation: add data-testid='routing-table-password-reset-assign-to' on the Cascader cell.
Checker: locate by row key + column id (prefer stable row id over text match if available).
- id: cascader-antd-T28
name: 'Modal flow: set Allowed destinations to Asia / Singapore / Downtown'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (inside Modal)'
task_template: open_and_select
secondary_template: null
browsergym_goal: Open the Edit shipping rule modal and set Allowed destinations to Asia / Singapore / Downtown. The task will finish automatically when done.
ui_copy: 'Edit shipping rule → Allowed destinations: Asia / Singapore / Downtown. The task will finish automatically when done.'
setup_description: |-
Layout: modal flow.
Clutter: low — a simple page with a single primary button and a modal dialog.
Entry point: a button labeled “Edit shipping rule”. Clicking it opens a modal.
Inside the modal:
- A short description paragraph
- The target AntD Cascader labeled “Allowed destinations”
- Modal footer buttons: Cancel and Save (these are NOT required for task success)
Cascader options: Region → Country → Area:
- Asia → Singapore → Downtown (target), Airport
- Europe → Germany → Berlin
- Americas → USA → New York
Initial state: Allowed destinations is blank.
Behavior: selection commits on leaf click within the cascader dropdown.
scene_context:
theme: light
spacing: comfortable
layout: modal_flow
placement: center
scale: default
instances: 1
guidance: text
clutter: low
difficulty:
difficulty_bucket: hard
tier: L2
axes_ratings:
precision_requirement: 3
target_acquisition: 2
density_choice_interference: 2
depth_layering: 4
feedback_dynamics: 2
semantic_observability: 2
disambiguation_load: 2
justification: Adds an extra overlay layer (modal + cascader dropdown) and multiple clickable controls, increasing depth and the chance of misclicks.
success_trigger:
human_readable:
- The Allowed destinations cascader inside the open modal has selected path labels [Asia, Singapore, Downtown].
- Selected path values equal ['asia','sg','downtown'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Asia
- Singapore
- Downtown
path_values:
- asia
- sg
- downtown
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: true
target_instance_label_or_id: allowed-destinations
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting Asia / Singapore / Airport instead of Downtown.
- Closing the modal without committing the selection (value remains blank).
- Setting a cascader outside the modal (none exist).
expected_interaction_path:
- Click Edit shipping rule to open the modal.
- In the modal, open the Allowed destinations cascader.
- Select Asia → Singapore → Downtown.
notes: |-
Instrumentation: data-testid='edit-shipping-modal', data-testid='allowed-destinations-cascader'.
Checker: bind to the cascader within the modal container to avoid matching any background elements.
- id: cascader-antd-T29
name: 'Drawer flow: set Default assignee group to Customer Success / Enterprise / Onboarding'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader (inside Drawer)'
task_template: open_and_select
secondary_template: null
browsergym_goal: Open the Assignment settings drawer and set Default assignee group to Customer Success / Enterprise / Onboarding. The task will finish automatically when done.
ui_copy: 'Assignment settings → Default assignee group: Customer Success / Enterprise / Onboarding. The task will finish automatically when done.'
setup_description: |-
Layout: drawer flow.
Clutter: low — a settings page with a single “Assignment settings” button that opens a right-side drawer.
Entry point: click the button labeled “Assignment settings” to open a drawer.
Inside the drawer:
- Header with a close (×) button
- A few toggles (e.g., “Auto-assign new tickets”)
- Target AntD Cascader labeled “Default assignee group”
Cascader options: Department → Segment → Team:
- Customer Success → SMB → Renewals
- Customer Success → Enterprise → Onboarding (target), Escalations
- Support → Tier 1 → General
- Support → Tier 2 → Identity
Initial state: Default assignee group is set to “Support / Tier 1 / General”.
Interaction nuance: the drawer may constrain available space, and the cascader dropdown must render on top of the drawer content.
scene_context:
theme: light
spacing: comfortable
layout: drawer_flow
placement: center
scale: default
instances: 1
guidance: text
clutter: low
difficulty:
difficulty_bucket: hard
tier: L3
axes_ratings:
precision_requirement: 3
target_acquisition: 3
density_choice_interference: 4
depth_layering: 4
feedback_dynamics: 2
semantic_observability: 2
disambiguation_load: 2
justification: Nested overlay (drawer + dropdown) plus a denser hierarchy increases layering and choice interference, especially in constrained space.
success_trigger:
human_readable:
- Within the open drawer, Default assignee group cascader selected path labels equal [Customer Success, Enterprise, Onboarding].
- Selected path values equal ['cs','ent','onboarding'].
canonical_predicate:
predicate_type: path_equals
target_state:
path_labels:
- Customer Success
- Enterprise
- Onboarding
path_values:
- cs
- ent
- onboarding
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: true
target_instance_label_or_id: default-assignee-group
terminal_condition: task ends when predicate holds
negative_cases:
- Leaving the default value at Support / Tier 1 / General.
- Selecting Customer Success / Enterprise / Escalations (sibling leaf).
- Closing the drawer before selecting the target leaf.
expected_interaction_path:
- Click Assignment settings to open the drawer.
- In the drawer, open Default assignee group cascader.
- Select Customer Success → Enterprise → Onboarding.
notes: |-
Instrumentation: data-testid='assignment-settings-drawer', data-testid='default-assignee-group-cascader'.
Checker: ensure it reads the cascader inside the drawer context.
- id: cascader-antd-T30
name: 'Dark + visual: match Target breadcrumb for Policy category'
canonical_type: cascader
implementation_source: antd
implementation_variant: null
implementation_component: 'AntD: Cascader'
task_template: match_reference
secondary_template: null
browsergym_goal: In Policy category, select the path shown in the Target breadcrumb preview. The task will finish automatically when done.
ui_copy: 'Policy category: match the Target breadcrumb shown. The task will finish automatically when done.'
setup_description: |-
Theme: dark.
Layout: isolated card centered on the page.
Component: one AntD Cascader labeled “Policy category”.
Guidance element: a “Target breadcrumb” preview above the field shows the desired path as styled crumb chips.
Options: Domain → Area → Policy:
- Compliance → Data → Retention (target)
- Compliance → Data → Classification
- Security → Access → MFA
Initial state: blank.
Distractors: the Compliance/Data branch has multiple similar policy leaves.
scene_context:
theme: dark
spacing: comfortable
layout: isolated_card
placement: center
scale: default
instances: 1
guidance: visual
clutter: none
difficulty:
difficulty_bucket: hard
tier: L2
axes_ratings:
precision_requirement: 3
target_acquisition: 2
density_choice_interference: 2
depth_layering: 2
feedback_dynamics: 1
semantic_observability: 4
disambiguation_load: 1
justification: Visual reference matching in dark theme requires accurately interpreting the on-page breadcrumb and selecting the corresponding leaf among similar siblings.
success_trigger:
human_readable:
- Policy category cascader selection matches the Target breadcrumb preview.
- Selected path labels equal [Compliance, Data, Retention] and values equal ['compliance','data','retention'].
canonical_predicate:
predicate_type: matches_reference
target_state:
reference_element_id: target-policy-breadcrumb
path_labels:
- Compliance
- Data
- Retention
path_values:
- compliance
- data
- retention
tolerance: null
require_confirm: false
confirm_control: null
require_correct_instance: false
target_instance_label_or_id: null
terminal_condition: task ends when predicate holds
negative_cases:
- Selecting Compliance / Data / Classification (wrong sibling leaf).
- Selecting a Security policy path instead.
- Leaving the field blank while the Target breadcrumb is visible.
expected_interaction_path:
- Read the Target breadcrumb preview.
- Open Policy category cascader and select Compliance → Data → Retention.
notes: |-
Instrumentation: data-testid='policy-category-cascader' and data-testid='target-policy-breadcrumb'.
Checker: compare cascader value path to reference breadcrumb canonical path.
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