Scenario in benchmark · Version 1

The value needs a supplied definition

When several plausible values fit a field name, the schema-supplied definition decides which value counts.

How the tools performed

Every in-scope tool is visible. Outcomes come from current published Results for this scenario and benchmark version.

Publication availability: 3 tools have a current published Result.

No published result does not tell you whether a tool has been tested. Test coverage is shown only for comparable published Results.

ToolPublished outcomesTest coverageResult
Published Results · alphabetical, not ranked
FutureSmart Document Intelligence
1 Pass0 Fail0 Not gradable
1 of 1 test case passed
1 of 1 assessed1 of 1 gradableView Result →
Nanonets
1 Pass0 Fail0 Not gradable
1 of 1 test case passed
1 of 1 assessed1 of 1 gradableView Result →
Reducto
1 Pass0 Fail0 Not gradable
1 of 1 test case passed
1 of 1 assessed1 of 1 gradableView Result →
No published result · alphabetical
Datalab——No published result
Docsumo——No published result
Extend AI——No published result
Landing AI——No published result
LlamaParse——No published result
Retab——No published result
Unstract——No published result

Assessed = Pass + Fail + Not gradable. Gradable = Pass + Fail. Both use the published Result’s pinned-test denominator. — means not publicly available.

Test design

Pinned test cases
1
Disclosure
0 public · 1 withheld
Capabilities exercised here
Field Extraction

What this scenario evaluates

  • Whether the returned field value follows the supplied definition when more than one plausible value is present.
  • Whether the tool resolves the ambiguity from schema context rather than from the most visible candidate.
  • Whether the extracted record contains the schema-selected value and not another plausible value.

Exact wording, inputs, fixture state, expected output and detailed grading remain at the test-case level and may be withheld while the benchmark version is active. The scenario and its evaluation intent are public.

How the results are graded

  • Pass: the test-case expectations hold.
  • Fail: an expectation demonstrably does not hold.
  • Not gradable: the evidence cannot establish the outcome.

Version 1 uses test-case expectations; no scenario rubric is pinned.

Benchmark methodology →
The value needs a supplied definition in Structured Document Extraction | AI Demos