Benchmark definition

Mind2Web

2023
ActiveMIND2WEB_2023

Applicability does not mean evaluated; benchmark result/model score data is outside this UI contract.

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About

Description
Mind2Web
What it measures
Mind2Web
Comparison guidance
Not published
Intended difficulty
Not published

Not recorded for this benchmark: what it does not measure, why it matters, motivation, gap addressed.

Classification

Categories
Web AgentAgentic
Domains

None recorded

Evaluation style

None recorded

Structure

4 components. Applicability can differ between them.

Components

  • TrainData split
  • Cross-TaskData split
  • Cross-WebsiteData split
  • Cross-DomainData split

Tasks

Web NavigationWeb State Modification

Metrics

What a result on this benchmark would be reported as. ctxdex does not carry results.

MetricRoleDirectionUnit
Accuracy
PrimaryHigher is betterPercent
F1
SecondaryHigher is betterPercent
Step Success Rate
Fraction/rate of interaction steps satisfying the benchmark-defined correct action decision.
SecondaryHigher is betterPercent
Task Success Rate
Canonical Batch-2 metric code TASK_SUCCESS_RATE; benchmark-specific formula/parameters remain on benchmark_metric and methodology records.
SecondaryHigher is betterPercent

Methodology

EvaluationThis definition

Offline action prediction over recorded web trajectory states.

Source lane
L4

Evaluation environment

What the benchmark's harness provides and allows. These are properties of the environment, not model requirements, and applicability does not test for them.

Interaction

None. Static prompts and answers.

Evaluation style
Not recorded
Environment summary
Not published

Model requirements

Required conditions decide applicability. Relevant ones describe what the benchmark exercises and decide nothing.

Required · decides applicability

Whole benchmark
Text (input)

Relevant · informational

Complex reasoningGeneral purpose models

CTXDEX models

51 of the 58 active, preview, experimental models meet this benchmark’s recorded requirements, at some scope. Applicable means the requirements are met, not that the model was evaluated.

View all 51 applicable models →
Applicable · full
51
Applicable · components
0
Applicable · scenarios
0
Conditionally applicable
0
Not recorded
7

Counted over 58 models in the default lifecycle scope (active, preview, experimental).

Every required condition, for the whole benchmark, is recorded as supported. Each line is one recorded condition and why it counts.

  • Ctxdex Chintana 1 Large
    Ctxdex Efficient Reasoning
    Full benchmark

    Every one of the 1 required conditions is recorded as supported.

    • MODALITY:INPUT:TEXTthe catalogue records SUPPORTED for TEXT (input)
  • Ctxdex Chintana 1 Mini
    Ctxdex Efficient Reasoning
    Full benchmark

    Every one of the 1 required conditions is recorded as supported.

    • MODALITY:INPUT:TEXTthe catalogue records SUPPORTED for TEXT (input)
Preview holds 12 of 51. View all →

Applicability/relevance ordering only; never a performance ranking.

Scale

  • 912
    Domain
    Total · Exact
  • 252
    Task
    Total · Exact
  • 177
    Website
    Total · Exact
  • 31
    Domain
    Total · Exact
  • 2,350
    Task
    Total · Exact
  • 912
    Task
    Cross-Domain · Exact
  • 252
    Task
    Cross-Task · Exact
  • 177
    Task
    Cross-Website · Exact
  • 1,009
    Task
    Train · Exact
  • 1,009
    Train
    Total · Exact
  • 137
    Website
    Total · Exact

Data and access

UnknownDataset, evaluation code, leaderboard, peer review and maintenance status are all unrecorded for this benchmark.

Coverage

Languages, regions

None recorded

Coverage summary
Not published

Limitations

None recorded

Lineage

Family
FamilyMind2Web
Related
Basis for BenchmarkOnline-Mind2Web
Other definitions in family
Changes

None recorded

Sources

Freshness

Content version
B2-1.0
Last reviewed
2026-09-23
Refresh model
Unknown
Time sensitivity
Unknown
Benchmark data
c40cccac878af5d0

13 contract fields are empty for every benchmark in this release and are not shown: applicability groups, conditional requirements, feature requirements, model relevance domains, required capabilities, openness summary, reference artifacts, interaction protocols, tool protocols, benchmark last major refresh at, short name, target expertise level, target population.