Scenario in benchmark · Version 1
A field the tool can only get right from examples
The tool learns an implicit rule from labeled examples and applies it to a new unseen document.
How the tools performed
Every in-scope tool is visible. Outcomes come from current published Results for this scenario and benchmark version.
No published results for this scenario yet.
No published result does not tell you whether a tool has been tested. Test coverage is shown only for comparable published Results.
| Tool | Published outcomes | Test coverage | Result |
|---|---|---|---|
| No published result · alphabetical | |||
| Datalab | — | — | No published result |
| Docsumo | — | — | No published result |
| Extend AI | — | — | No published result |
| FutureSmart Document Intelligence | — | — | No published result |
| Landing AI | — | — | 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
- Training
What this scenario evaluates
- Whether the tool can infer a rule from labeled examples rather than from an explicit instruction.
- Whether it applies the learned rule to a document it has not seen before.
- Whether it follows the convention shown in the examples when producing the new result.
- Whether it generalises consistently without needing the rule to be stated in the schema or prompt.
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 →