Scenario in benchmark · Version 1

A document containing mathematical equations

A document containing mathematical equations is handled as mathematics, not flattened into ordinary prose.

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.

ToolPublished outcomesTest coverageResult
No published result · alphabetical
doc2mark——No published result
Docling——No published result
GPT-5.6 terra——No published result
LiteParse——No published result
Marker——No published result
MarkItDown——No published result
MinerU——No published result
olmOCR——No published result
PaddleOCR-VL——No published result
PyMuPDF4LLM——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
1 public · 0 withheld
Capabilities exercised here
Equations & Mathematical Notation

What this scenario evaluates

  • Whether the equations remain represented as math rather than being flattened into ordinary prose.
  • Whether the mathematical structure is preserved well enough to stay readable and recoverable.
  • Whether any limitation is stated honestly through a clear fallback instead of silent corruption.

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 →
A document containing mathematical equations in Converting a complex PDF into clean Markdown with an open-source library | AI Demos