Download tasks/binary-edit-lower/instruction.md from FineEnvs/openai-math: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/datasets/FineEnvs/openai-math/resolve/main/tasks/binary-edit-lower/instruction.md
- Command line
-
hf download hf://datasets/FineEnvs/openai-math/tasks/binary-edit-lower/instruction.md
-
curl -L -o instruction.md https://huggingface.co/datasets/FineEnvs/openai-math/resolve/main/tasks/binary-edit-lower/instruction.md
openai/math challenge BinaryEditLower (family 099)
Prove the following result from OpenAI's openai/math release in Lean 4, with a proof the Lean kernel accepts.
Context: this statement belongs to family 099 of the release, The sharp distortion of edit distance into $\ell_1$ (Convex and metric geometry). The family as a whole: Determines the least distortion of embedding edit distance on words of length at most $d$ into real $\ell_1$: it is $\exp(\Theta(\sqrt{\log d,\log\log d}))$. Insertions, deletions and substitutions have unit cost. The constants are uniform over all finite alphabets with at least two symbols, even when the alphabet grows with $d$; binary words already force the lower bound.
The challenge is BinaryEditLower, also at /opt/openai-math/challenges/BinaryEditLower.lean:
import Mathlib
namespace OAI
namespace TreeEdit
universe u
/-- A single unit-cost insertion, deletion, or substitution at any position. -/
inductive EditStep {α : Type u} : List α → List α → Prop
| insert (p q : List α) (a : α) : EditStep (p ++ q) (p ++ a :: q)
| delete (p q : List α) (a : α) : EditStep (p ++ a :: q) (p ++ q)
| substitute (p q : List α) (a b : α) : EditStep (p ++ a :: q) (p ++ b :: q)
/-- An edit script with no restriction on intermediate word lengths. -/
inductive EditScript {α : Type u} : List α → List α → ℕ → Prop
| nil (x : List α) : EditScript x x 0
| cons {x y z : List α} {n : ℕ} :
EditStep x y → EditScript y z n → EditScript x z (n + 1)
noncomputable def ed {α : Type u} (x y : List α) : ℕ :=
sInf {n | EditScript x y n}
abbrev RealL1 := lp (fun _ : ℕ => ℝ) 1
abbrev Word (α : Type u) (n : ℕ) := {x : List α // x.length = n}
namespace BinaryLower
/-- The product of the two maximal pairwise distance ratios. -/
noncomputable def distortion {X : Type u} (ρ : X → X → ℝ) (f : X → RealL1) : ℝ :=
sSup {r : ℝ | ∃ x y : X, x ≠ y ∧ r = ‖f x - f y‖ / ρ x y} *
sSup {r : ℝ | ∃ x y : X, x ≠ y ∧ r = ρ x y / ‖f x - f y‖}
/-- The infimum over every injective map into the full real sequence space ℓ₁. -/
noncomputable def c1 (X : Type u) (ρ : X → X → ℝ) : ℝ :=
sInf {D : ℝ | ∃ f : X → RealL1, Function.Injective f ∧ D = distortion ρ f}
noncomputable def binarySetDistortion {n : ℕ} (W : Finset (Word Bool n)) : ℝ :=
c1 {x : Word Bool n // x ∈ W}
(fun x y => (ed x.val.val y.val.val : ℝ))
noncomputable def growth (c : ℝ) (d : ℕ) : ℝ :=
Real.exp (c * Real.sqrt (Real.log (d : ℝ) * Real.log (Real.log (d : ℝ))))
end BinaryLower
open BinaryLower
/-- The binary lower-bound theorem of OpenAI's September 27, 2026 tree-constructions
manuscript: finite equal-length witnesses for every sufficiently large length cap. -/
theorem binary_lower_bound :
∃ c : ℝ, 0 < c ∧ ∃ d₀ : ℕ, ∀ d : ℕ, d₀ ≤ d →
∃ n : ℕ, 1 ≤ n ∧ n ≤ d ∧
∃ W : Finset (Word Bool n), 2 ≤ W.card ∧
growth c d ≤ binarySetDistortion W := by
sorry
end TreeEdit
end OAI
What to submit
Write /workspace/Submission.lean. Start from a copy of the challenge:
cp /opt/openai-math/challenges/BinaryEditLower.lean /workspace/Submission.lean
then replace every sorry with a proof. The file is graded on three things:
- Same statements. The theorem
OAI.TreeEdit.binary_lower_boundmust keep exactly the statement shown above: same names, namespaces, binders and types. Every definition the statements use must stay exactly as written. Change nothing except the proofs. - Standard axioms only. Proofs may use only
propext,Quot.soundandClassical.choice.sorry,admit, newaxioms andnative_decide(it introduces an axiom of its own) are rejected. - Keep the challenge's declarations as they are. Put new lemmas and instances after the
definitions the statements use, or in a separate
Submission/*.leanmodule. A declaration added before them can change how they elaborate, and then they no longer match the challenge. - Kernel-checked. The proofs are re-checked by the Lean kernel, not just the elaborator.
Long proofs can be split into modules under /workspace/Submission/ (module names
Submission.Foo, Submission.Foo.Bar) imported from Submission.lean. Only .lean files at
those two paths are graded.
Environment
- Lean
v4.34.1and Mathlib at commitd13f23bare installed and prebuilt;/workspaceis a Lake project. - The sandbox has 4 CPUs and 8 GB of memory;
LEAN_NUM_THREADS=3keepslake buildto three parallel jobs. Check your work withcd /workspace && lake build Submission. Add#print axioms <name>to see which axioms a proof uses. - There is no internet access. OpenAI's own proofs are not installed.
Grading
When you finish, Submission.lean and Submission/**.lean are copied to a fresh machine and
checked with Comparator, the Lean FRO's proof checker.
The reward is 1 if Comparator accepts the proof and 0 otherwise. A partial proof scores 0.