Scenario in benchmark · Version 1

The field is absent

The requested fact is absent and not implied by the document.

How the tools performed

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

Publication availability: 1 tool has 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
Landing AI
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
FutureSmart Document Intelligence——No published result
LlamaParse——No published result
Nanonets——No published result
Reducto——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, Source Grounding

What this scenario evaluates

  • Whether the output gives an honest null or absence response for the missing fact.
  • Whether the output avoids inventing a value for the absent fact.
  • Whether any invented value is left without a pointer or other grounding evidence.

Specific test-case inputs and grading live on the related test-case pages.

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 field is absent in Structured Document Extraction | AI Demos