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openai-math/matching-affine-lift
# openai/math challenge `MatchingAffineLift` (family 126) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 126 of the release, *Exponential semidefinite complexity of perfect matchi...
Prove MatchingAffineLift (openai/math family 126: Exponential semidefinite complexity of perfect matching) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/matching-affine-lift", "version": "1.0.0", "description": "Prove MatchingAffineLift (openai/math family 126: Exponential semidefinite complexity of perfect matching) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywo...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MatchingAffineLift.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chal...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/matching-affine-lift
openai-math/matching-entropy-bounds
# openai/math challenge `MatchingEntropyBounds` (family 113) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 113 of the release, *Approximate counting and the perfect-matching entr...
Prove MatchingEntropyBounds (openai/math family 113: Approximate counting and the perfect-matching entropy conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/matching-entropy-bounds", "version": "1.0.0", "description": "Prove MatchingEntropyBounds (openai/math family 113: Approximate counting and the perfect-matching entropy conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbo...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MatchingEntropyBounds.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "c...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/matching-entropy-bounds
openai-math/matching-entropy
# openai/math challenge `MatchingEntropy` (family 113) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 113 of the release, *Approximate counting and the perfect-matching entropy co...
Prove MatchingEntropy (openai/math family 113: Approximate counting and the perfect-matching entropy conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/matching-entropy", "version": "1.0.0", "description": "Prove MatchingEntropy (openai/math family 113: Approximate counting and the perfect-matching entropy conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "key...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MatchingEntropy.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challen...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/matching-entropy
openai-math/matching-fpras
# openai/math challenge `MatchingFPRAS` (family 113) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 113 of the release, *Approximate counting and the perfect-matching entropy conj...
Prove MatchingFPRAS (openai/math family 113: Approximate counting and the perfect-matching entropy conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/matching-fpras", "version": "1.0.0", "description": "Prove MatchingFPRAS (openai/math family 113: Approximate counting and the perfect-matching entropy conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keyword...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MatchingFPRAS.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/matching-fpras
openai-math/matching-psd
# openai/math challenge `MatchingPSD` (family 126) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 126 of the release, *Exponential semidefinite complexity of perfect matching* (Th...
Prove MatchingPSD (openai/math family 126: Exponential semidefinite complexity of perfect matching) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/matching-psd", "version": "1.0.0", "description": "Prove MatchingPSD (openai/math family 126: Exponential semidefinite complexity of perfect matching) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MatchingPSD.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge":...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/matching-psd
openai-math/matrix-fields
# openai/math challenge `MatrixFields` (family 107) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 107 of the release, *Matrix multiplication with exponent at most $9/4$* (Theoret...
Prove MatrixFields (openai/math family 107: Matrix multiplication with exponent at most $9/4$) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/matrix-fields", "version": "1.0.0", "description": "Prove MatrixFields (openai/math family 107: Matrix multiplication with exponent at most $9/4$) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MatrixFields.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge"...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/matrix-fields
openai-math/matrix-removal
# openai/math challenge `MatrixRemoval` (family 190) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 190 of the release, *Polynomial removal fails for ordered binary matrices* (Com...
Prove MatrixRemoval (openai/math family 190: Polynomial removal fails for ordered binary matrices) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/matrix-removal", "version": "1.0.0", "description": "Prove MatrixRemoval (openai/math family 190: Polynomial removal fails for ordered binary matrices) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MatrixRemoval.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/matrix-removal
openai-math/matroid-prophet
# openai/math challenge `MatroidProphet` (family 111) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 111 of the release, *One-sample matroid prophet inequalities against an almigh...
Prove MatroidProphet (openai/math family 111: One-sample matroid prophet inequalities against an almighty adversary) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/matroid-prophet", "version": "1.0.0", "description": "Prove MatroidProphet (openai/math family 111: One-sample matroid prophet inequalities against an almighty adversary) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MatroidProphet.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challeng...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/matroid-prophet
openai-math/matroid-secretary
# openai/math challenge `MatroidSecretary` (family 111) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 111 of the release, *One-sample matroid prophet inequalities against an almi...
Prove MatroidSecretary (openai/math family 111: One-sample matroid prophet inequalities against an almighty adversary) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/matroid-secretary", "version": "1.0.0", "description": "Prove MatroidSecretary (openai/math family 111: One-sample matroid prophet inequalities against an almighty adversary) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MatroidSecretary.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challe...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/matroid-secretary
openai-math/maximal-seshadri-constants
# openai/math challenge `MaximalSeshadriConstants` (family 039) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 039 of the release, *Nagata's conjecture and maximal Seshadri consta...
Prove MaximalSeshadriConstants (openai/math family 039: Nagata's conjecture and maximal Seshadri constants) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "algebraic-and-complex-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/maximal-seshadri-constants", "version": "1.0.0", "description": "Prove MaximalSeshadriConstants (openai/math family 039: Nagata's conjecture and maximal Seshadri constants) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MaximalSeshadriConstants.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", ...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/maximal-seshadri-constants
openai-math/memory-precision
# openai/math challenge `MemoryPrecision` (family 140) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 140 of the release, *Memory–sample lower bounds for noiseless Gaussian regres...
Prove MemoryPrecision (openai/math family 140: Memory–sample lower bounds for noiseless Gaussian regression) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/memory-precision", "version": "1.0.0", "description": "Prove MemoryPrecision (openai/math family 140: Memory–sample lower bounds for noiseless Gaussian regression) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keyword...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MemoryPrecision.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challen...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/memory-precision
openai-math/metric-entropy-duality
# openai/math challenge `MetricEntropyDuality` (family 329) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 329 of the release, *A counterexample to Pietsch's metric-entropy dualit...
Prove MetricEntropyDuality (openai/math family 329: A counterexample to Pietsch's metric-entropy duality conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "functional-analysis" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/metric-entropy-duality", "version": "1.0.0", "description": "Prove MetricEntropyDuality (openai/math family 329: A counterexample to Pietsch's metric-entropy duality conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox."...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MetricEntropyDuality.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "ch...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/metric-entropy-duality
openai-math/metric-k-median
# openai/math challenge `MetricKMedian` (family 125) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 125 of the release, *The approximation threshold for metric $k$-median* (Theore...
Prove MetricKMedian (openai/math family 125: The approximation threshold for metric $k$-median) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/metric-k-median", "version": "1.0.0", "description": "Prove MetricKMedian (openai/math family 125: The approximation threshold for metric $k$-median) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "l...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MetricKMedian.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/metric-k-median
openai-math/midpoint-lenses
# openai/math challenge `MidpointLenses` (family 331) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 331 of the release, *Asymptotic midpoint uniform convexity without asymptotica...
Prove MidpointLenses (openai/math family 331: Asymptotic midpoint uniform convexity without asymptotically uniformly convex renorming) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "functional-analysis" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/midpoint-lenses", "version": "1.0.0", "description": "Prove MidpointLenses (openai/math family 331: Asymptotic midpoint uniform convexity without asymptotically uniformly convex renorming) in Lean 4 with Mathlib; graded by Comparator in a separat...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MidpointLenses.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challeng...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/midpoint-lenses
openai-math/min-uncut
# openai/math challenge `MinUncut` (family 102) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 102 of the release, *The Unique Games Conjecture and optimal approximation threshold...
Prove MinUncut (openai/math family 102: The Unique Games Conjecture and optimal approximation thresholds) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/min-uncut", "version": "1.0.0", "description": "Prove MinUncut (openai/math family 102: The Unique Games Conjecture and optimal approximation thresholds) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/MinUncut.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": "M...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/min-uncut
openai-math/nagata
# openai/math challenge `Nagata` (family 039) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 039 of the release, *Nagata's conjecture and maximal Seshadri constants* (Algebraic an...
Prove Nagata (openai/math family 039: Nagata's conjecture and maximal Seshadri constants) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "algebraic-and-complex-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/nagata", "version": "1.0.0", "description": "Prove Nagata (openai/math family 039: Nagata's conjecture and maximal Seshadri constants) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", "m...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/Nagata.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": "Nag...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/nagata
openai-math/naimark
# openai/math challenge `Naimark` (family 297) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 297 of the release, *A ZFC counterexample to Naimark's problem* (Operator algebras). ...
Prove Naimark (openai/math family 297: A ZFC counterexample to Naimark's problem) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "operator-algebras" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/naimark", "version": "1.0.0", "description": "Prove Naimark (openai/math family 297: A ZFC counterexample to Naimark's problem) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", "mathlib"...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/Naimark.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": "Na...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/naimark
openai-math/navier-stokes-alternating
# openai/math challenge `NavierStokesAlternating` (family 376) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 376 of the release, *Universal computation in forced Navier–Stokes fl...
Prove NavierStokesAlternating (openai/math family 376: Universal computation in forced Navier–Stokes flows) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "partial-differential-equations" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/navier-stokes-alternating", "version": "1.0.0", "description": "Prove NavierStokesAlternating (openai/math family 376: Universal computation in forced Navier–Stokes flows) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/NavierStokesAlternating.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", ...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/navier-stokes-alternating
openai-math/navier-stokes-velocity
# openai/math challenge `NavierStokesVelocity` (family 376) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 376 of the release, *Universal computation in forced Navier–Stokes flows...
Prove NavierStokesVelocity (openai/math family 376: Universal computation in forced Navier–Stokes flows) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "partial-differential-equations" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/navier-stokes-velocity", "version": "1.0.0", "description": "Prove NavierStokesVelocity (openai/math family 376: Universal computation in forced Navier–Stokes flows) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywo...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/NavierStokesVelocity.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "ch...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/navier-stokes-velocity
openai-math/nodal-length
# openai/math challenge `NodalLength` (family 350) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 350 of the release, *Yau's nodal conjecture: surfaces and counterexamples* (Diffe...
Prove NodalLength (openai/math family 350: Yau's nodal conjecture: surfaces and counterexamples) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "differential-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/nodal-length", "version": "1.0.0", "description": "Prove NodalLength (openai/math family 350: Yau's nodal conjecture: surfaces and counterexamples) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lea...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/NodalLength.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge":...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/nodal-length
openai-math/noiseless-regression
# openai/math challenge `NoiselessRegression` (family 140) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 140 of the release, *Memory–sample lower bounds for noiseless Gaussian re...
Prove NoiselessRegression (openai/math family 140: Memory–sample lower bounds for noiseless Gaussian regression) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/noiseless-regression", "version": "1.0.0", "description": "Prove NoiselessRegression (openai/math family 140: Memory–sample lower bounds for noiseless Gaussian regression) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/NoiselessRegression.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "cha...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/noiseless-regression
openai-math/odd-kaplansky
# openai/math challenge `OddKaplansky` (family 197) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 197 of the release, *Nonsofic groups and group-ring counterexamples* (Algebra). ...
Prove OddKaplansky (openai/math family 197: Nonsofic groups and group-ring counterexamples) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "algebra" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/odd-kaplansky", "version": "1.0.0", "description": "Prove OddKaplansky (openai/math family 197: Nonsofic groups and group-ring counterexamples) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4",...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/OddKaplansky.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge"...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/odd-kaplansky
openai-math/one-way-liveness
# openai/math challenge `OneWayLiveness` (family 129) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 129 of the release, *Exponential state costs for two-way automata* (Theoretica...
Prove OneWayLiveness (openai/math family 129: Exponential state costs for two-way automata) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/one-way-liveness", "version": "1.0.0", "description": "Prove OneWayLiveness (openai/math family 129: Exponential state costs for two-way automata) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/OneWayLiveness.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challeng...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/one-way-liveness
openai-math/optimal-max-cut
# openai/math challenge `OptimalMaxCut` (family 102) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 102 of the release, *The Unique Games Conjecture and optimal approximation thre...
Prove OptimalMaxCut (openai/math family 102: The Unique Games Conjecture and optimal approximation thresholds) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/optimal-max-cut", "version": "1.0.0", "description": "Prove OptimalMaxCut (openai/math family 102: The Unique Games Conjecture and optimal approximation thresholds) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywor...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/OptimalMaxCut.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/optimal-max-cut
openai-math/ordinary-elliott
# openai/math challenge `OrdinaryElliott` (family 007) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 007 of the release, *Two-point Chowla and the corrected binary Elliott conjec...
Prove OrdinaryElliott (openai/math family 007: Two-point Chowla and the corrected binary Elliott conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "number-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/ordinary-elliott", "version": "1.0.0", "description": "Prove OrdinaryElliott (openai/math family 007: Two-point Chowla and the corrected binary Elliott conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keyword...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/OrdinaryElliott.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challen...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/ordinary-elliott
openai-math/parity-lifts
# openai/math challenge `ParityLifts` (family 133) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 133 of the release, *The complexity of Weisfeiler–Leman refinement* (Theoretical ...
Prove ParityLifts (openai/math family 133: The complexity of Weisfeiler–Leman refinement) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/parity-lifts", "version": "1.0.0", "description": "Prove ParityLifts (openai/math family 133: The complexity of Weisfeiler–Leman refinement) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/ParityLifts.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge":...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/parity-lifts
openai-math/partial-permutation
# openai/math challenge `PartialPermutation` (family 238) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 238 of the release, *Optimal logarithmic mixing of the Thorp shuffle* (Pro...
Prove PartialPermutation (openai/math family 238: Optimal logarithmic mixing of the Thorp shuffle) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/partial-permutation", "version": "1.0.0", "description": "Prove PartialPermutation (openai/math family 238: Optimal logarithmic mixing of the Thorp shuffle) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PartialPermutation.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chal...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/partial-permutation
openai-math/partition-consistency
# openai/math challenge `PartitionConsistency` (family 244) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 244 of the release, *The partition principle does not imply choice* (Mat...
Prove PartitionConsistency (openai/math family 244: The partition principle does not imply choice) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "mathematical-logic" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/partition-consistency", "version": "1.0.0", "description": "Prove PartitionConsistency (openai/math family 244: The partition principle does not imply choice) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PartitionConsistency.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "ch...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/partition-consistency
openai-math/partition-principle
# openai/math challenge `PartitionPrinciple` (family 244) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 244 of the release, *The partition principle does not imply choice* (Mathe...
Prove PartitionPrinciple (openai/math family 244: The partition principle does not imply choice) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "mathematical-logic" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/partition-principle", "version": "1.0.0", "description": "Prove PartitionPrinciple (openai/math family 244: The partition principle does not imply choice) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PartitionPrinciple.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chal...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/partition-principle
openai-math/perceptron-free-energy
# openai/math challenge `PerceptronFreeEnergy` (family 222) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 222 of the release, *Perceptron free energies and microscopic jamming* (...
Prove PerceptronFreeEnergy (openai/math family 222: Perceptron free energies and microscopic jamming) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/perceptron-free-energy", "version": "1.0.0", "description": "Prove PerceptronFreeEnergy (openai/math family 222: Perceptron free energies and microscopic jamming) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PerceptronFreeEnergy.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "ch...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/perceptron-free-energy
openai-math/perfect-completeness
# openai/math challenge `PerfectCompleteness` (family 105) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 105 of the release, *The 2-to-1 Games Conjecture with perfect completenes...
Prove PerfectCompleteness (openai/math family 105: The 2-to-1 Games Conjecture with perfect completeness) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/perfect-completeness", "version": "1.0.0", "description": "Prove PerfectCompleteness (openai/math family 105: The 2-to-1 Games Conjecture with perfect completeness) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywor...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PerfectCompleteness.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "cha...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/perfect-completeness
openai-math/periodic-group
# openai/math challenge `PeriodicGroup` (family 247) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 247 of the release, *An infinite finitely presented residually finite $2$-group...
Prove PeriodicGroup (openai/math family 247: An infinite finitely presented residually finite $2$-group) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "group-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/periodic-group", "version": "1.0.0", "description": "Prove PeriodicGroup (openai/math family 247: An infinite finitely presented residually finite $2$-group) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PeriodicGroup.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/periodic-group
openai-math/periodic-tiling-three
# openai/math challenge `PeriodicTilingThree` (family 155) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 155 of the release, *A counterexample to periodic tiling in dimension thr...
Prove PeriodicTilingThree (openai/math family 155: A counterexample to periodic tiling in dimension three) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/periodic-tiling-three", "version": "1.0.0", "description": "Prove PeriodicTilingThree (openai/math family 155: A counterexample to periodic tiling in dimension three) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keyw...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PeriodicTilingThree.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "cha...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/periodic-tiling-three
openai-math/permanent-cubic
# openai/math challenge `PermanentCubic` (family 108) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 108 of the release, *A cubic permanent–determinant lower bound* (Theoretical c...
Prove PermanentCubic (openai/math family 108: A cubic permanent–determinant lower bound) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/permanent-cubic", "version": "1.0.0", "description": "Prove PermanentCubic (openai/math family 108: A cubic permanent–determinant lower bound) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PermanentCubic.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challeng...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/permanent-cubic
openai-math/petty-projection-volume
# openai/math challenge `PettyProjectionVolume` (family 088) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 088 of the release, *Petty's projection-volume conjecture and simplex c...
Prove PettyProjectionVolume (openai/math family 088: Petty's projection-volume conjecture and simplex counterexamples) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "convex-and-metric-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/petty-projection-volume", "version": "1.0.0", "description": "Prove PettyProjectionVolume (openai/math family 088: Petty's projection-volume conjecture and simplex counterexamples) in Lean 4 with Mathlib; graded by Comparator in a separate sandbo...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PettyProjectionVolume.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "c...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/petty-projection-volume
openai-math/pi-exponent
# openai/math challenge `PiExponent` (family 017) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 017 of the release, *The irrationality exponent of $\pi$ is $2$* (Number theory). ...
Prove PiExponent (openai/math family 017: The irrationality exponent of $\pi$ is $2$) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "number-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/pi-exponent", "version": "1.0.0", "description": "Prove PiExponent (openai/math family 017: The irrationality exponent of $\\pi$ is $2$) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PiExponent.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": ...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/pi-exponent
openai-math/pinched-kahler
# openai/math challenge `PinchedKahler` (family 359) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 359 of the release, *Negative Kahler curvature without bounded holomorphic coor...
Prove PinchedKahler (openai/math family 359: Negative Kahler curvature without bounded holomorphic coordinates) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "differential-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/pinched-kahler", "version": "1.0.0", "description": "Prove PinchedKahler (openai/math family 359: Negative Kahler curvature without bounded holomorphic coordinates) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywor...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PinchedKahler.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/pinched-kahler
openai-math/pinned-distances
# openai/math challenge `PinnedDistances` (family 167) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 167 of the release, *Pinned distances and a power saving for planar unit dist...
Prove PinnedDistances (openai/math family 167: Pinned distances and a power saving for planar unit distances) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/pinned-distances", "version": "1.0.0", "description": "Prove PinnedDistances (openai/math family 167: Pinned distances and a power saving for planar unit distances) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywor...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PinnedDistances.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challen...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/pinned-distances
openai-math/planar-anderson-spectrum
# openai/math challenge `PlanarAndersonSpectrum` (family 261) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 261 of the release, *Localization and delocalization in the Anderson m...
Prove PlanarAndersonSpectrum (openai/math family 261: Localization and delocalization in the Anderson model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "mathematical-physics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/planar-anderson-spectrum", "version": "1.0.0", "description": "Prove PlanarAndersonSpectrum (openai/math family 261: Localization and delocalization in the Anderson model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PlanarAndersonSpectrum.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/planar-anderson-spectrum
openai-math/planar-falconer
# openai/math challenge `PlanarFalconer` (family 073) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 073 of the release, *The Falconer distance conjecture* (Real and complex analy...
Prove PlanarFalconer (openai/math family 073: The Falconer distance conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "real-and-complex-analysis" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/planar-falconer", "version": "1.0.0", "description": "Prove PlanarFalconer (openai/math family 073: The Falconer distance conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", "ma...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PlanarFalconer.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challeng...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/planar-falconer
openai-math/planar-first-passage
# openai/math challenge `PlanarFirstPassage` (family 212) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 212 of the release, *No bigeodesics and smooth limit shapes in planar firs...
Prove PlanarFirstPassage (openai/math family 212: No bigeodesics and smooth limit shapes in planar first-passage percolation) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/planar-first-passage", "version": "1.0.0", "description": "Prove PlanarFirstPassage (openai/math family 212: No bigeodesics and smooth limit shapes in planar first-passage percolation) in Lean 4 with Mathlib; graded by Comparator in a separate sa...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PlanarFirstPassage.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chal...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/planar-first-passage
openai-math/planar-l1
# openai/math challenge `PlanarL1` (family 089) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 089 of the release, *Bounded-distortion $L_1$ embeddings of planar and bounded-treew...
Prove PlanarL1 (openai/math family 089: Bounded-distortion $L_1$ embeddings of planar and bounded-treewidth graphs) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "convex-and-metric-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/planar-l1", "version": "1.0.0", "description": "Prove PlanarL1 (openai/math family 089: Bounded-distortion $L_1$ embeddings of planar and bounded-treewidth graphs) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keyword...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PlanarL1.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": "P...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/planar-l1
openai-math/planar-unit-distances
# openai/math challenge `PlanarUnitDistances` (family 167) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 167 of the release, *Pinned distances and a power saving for planar unit ...
Prove PlanarUnitDistances (openai/math family 167: Pinned distances and a power saving for planar unit distances) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/planar-unit-distances", "version": "1.0.0", "description": "Prove PlanarUnitDistances (openai/math family 167: Pinned distances and a power saving for planar unit distances) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PlanarUnitDistances.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "cha...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/planar-unit-distances
openai-math/plane-coloring
# openai/math challenge `PlaneColoring` (family 158) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 158 of the release, *The Euclidean plane cannot be colored with five colors* (C...
Prove PlaneColoring (openai/math family 158: The Euclidean plane cannot be colored with five colors) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/plane-coloring", "version": "1.0.0", "description": "Prove PlaneColoring (openai/math family 158: The Euclidean plane cannot be colored with five colors) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PlaneColoring.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/plane-coloring
openai-math/posterior-replicas
# openai/math challenge `PosteriorReplicas` (family 140) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 140 of the release, *Memory–sample lower bounds for noiseless Gaussian regr...
Prove PosteriorReplicas (openai/math family 140: Memory–sample lower bounds for noiseless Gaussian regression) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/posterior-replicas", "version": "1.0.0", "description": "Prove PosteriorReplicas (openai/math family 140: Memory–sample lower bounds for noiseless Gaussian regression) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "key...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PosteriorReplicas.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chall...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/posterior-replicas
openai-math/power-free-values
# openai/math challenge `PowerFreeValues` (family 020) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 020 of the release, *Squarefree quartics and power-free polynomial values* (N...
Prove PowerFreeValues (openai/math family 020: Squarefree quartics and power-free polynomial values) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "number-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/power-free-values", "version": "1.0.0", "description": "Prove PowerFreeValues (openai/math family 020: Squarefree quartics and power-free polynomial values) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PowerFreeValues.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challen...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/power-free-values
openai-math/prime-gaps
# openai/math challenge `PrimeGaps` (family 026) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 026 of the release, *Positive lower density of large prime gaps* (Number theory). T...
Prove PrimeGaps (openai/math family 026: Positive lower density of large prime gaps) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "number-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/prime-gaps", "version": "1.0.0", "description": "Prove PrimeGaps (openai/math family 026: Positive lower density of large prime gaps) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", "ma...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/PrimeGaps.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": "...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/prime-gaps
openai-math/product-brown
# openai/math challenge `ProductBrown` (family 293) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 293 of the release, *A counterexample to the hyperinvariant-subspace problem* (O...
Prove ProductBrown (openai/math family 293: A counterexample to the hyperinvariant-subspace problem) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "operator-algebras" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/product-brown", "version": "1.0.0", "description": "Prove ProductBrown (openai/math family 293: A counterexample to the hyperinvariant-subspace problem) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/ProductBrown.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge"...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/product-brown
openai-math/projection-counterexample
# openai/math challenge `ProjectionCounterexample` (family 088) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 088 of the release, *Petty's projection-volume conjecture and simple...
Prove ProjectionCounterexample (openai/math family 088: Petty's projection-volume conjecture and simplex counterexamples) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "convex-and-metric-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/projection-counterexample", "version": "1.0.0", "description": "Prove ProjectionCounterexample (openai/math family 088: Petty's projection-volume conjecture and simplex counterexamples) in Lean 4 with Mathlib; graded by Comparator in a separate s...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/ProjectionCounterexample.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", ...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/projection-counterexample
openai-math/projection-moments
# openai/math challenge `ProjectionMoments` (family 140) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 140 of the release, *Memory–sample lower bounds for noiseless Gaussian regr...
Prove ProjectionMoments (openai/math family 140: Memory–sample lower bounds for noiseless Gaussian regression) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/projection-moments", "version": "1.0.0", "description": "Prove ProjectionMoments (openai/math family 140: Memory–sample lower bounds for noiseless Gaussian regression) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "key...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/ProjectionMoments.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chall...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/projection-moments
openai-math/projection-volume
# openai/math challenge `ProjectionVolume` (family 088) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 088 of the release, *Petty's projection-volume conjecture and simplex counte...
Prove ProjectionVolume (openai/math family 088: Petty's projection-volume conjecture and simplex counterexamples) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "convex-and-metric-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/projection-volume", "version": "1.0.0", "description": "Prove ProjectionVolume (openai/math family 088: Petty's projection-volume conjecture and simplex counterexamples) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "k...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/ProjectionVolume.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challe...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/projection-volume
openai-math/qac-parity
# openai/math challenge `QACParity` (family 274) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 274 of the release, *Moore's parity conjecture for $\mathrm{QAC}^0$* (Mathematical ...
Prove QACParity (openai/math family 274: Moore's parity conjecture for $\mathrm{QAC}^0$) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "mathematical-physics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/qac-parity", "version": "1.0.0", "description": "Prove QACParity (openai/math family 274: Moore's parity conjecture for $\\mathrm{QAC}^0$) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/QACParity.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": "...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/qac-parity
openai-math/quadric-bundles
# openai/math challenge `QuadricBundles` (family 050) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 050 of the release, *A counterexample to Griffiths' positivity conjecture* (Al...
Prove QuadricBundles (openai/math family 050: A counterexample to Griffiths' positivity conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "algebraic-and-complex-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/quadric-bundles", "version": "1.0.0", "description": "Prove QuadricBundles (openai/math family 050: A counterexample to Griffiths' positivity conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/QuadricBundles.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challeng...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/quadric-bundles
openai-math/quantitative-van-der-waerden
# openai/math challenge `QuantitativeVanDerWaerden` (family 160) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 160 of the release, *Superexponential van der Waerden numbers* (Com...
Prove QuantitativeVanDerWaerden (openai/math family 160: Superexponential van der Waerden numbers) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/quantitative-van-der-waerden", "version": "1.0.0", "description": "Prove QuantitativeVanDerWaerden (openai/math family 160: Superexponential van der Waerden numbers) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywo...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/QuantitativeVanDerWaerden.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", ...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/quantitative-van-der-waerden
openai-math/quintic-lienard
# openai/math challenge `QuinticLienard` (family 143) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 143 of the release, *Uniform limit-cycle bounds in Hilbert's sixteenth problem...
Prove QuinticLienard (openai/math family 143: Uniform limit-cycle bounds in Hilbert's sixteenth problem) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "dynamical-systems-and-ergodic-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/quintic-lienard", "version": "1.0.0", "description": "Prove QuinticLienard (openai/math family 143: Uniform limit-cycle bounds in Hilbert's sixteenth problem) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/QuinticLienard.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challeng...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/quintic-lienard
openai-math/radial-density-interval
# openai/math challenge `RadialDensityInterval` (family 228) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 228 of the release, *Continuum phase transitions for radial pair potent...
Prove RadialDensityInterval (openai/math family 228: Continuum phase transitions for radial pair potentials) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/radial-density-interval", "version": "1.0.0", "description": "Prove RadialDensityInterval (openai/math family 228: Continuum phase transitions for radial pair potentials) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/RadialDensityInterval.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "c...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/radial-density-interval
openai-math/radial-transition
# openai/math challenge `RadialTransition` (family 228) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 228 of the release, *Continuum phase transitions for radial pair potentials*...
Prove RadialTransition (openai/math family 228: Continuum phase transitions for radial pair potentials) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/radial-transition", "version": "1.0.0", "description": "Prove RadialTransition (openai/math family 228: Continuum phase transitions for radial pair potentials) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/RadialTransition.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challe...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/radial-transition
openai-math/ramsey-five
# openai/math challenge `RamseyFive` (family 170) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 170 of the release, *Sharp logarithmic exponents for off-diagonal Ramsey numbers* ...
Prove RamseyFive (openai/math family 170: Sharp logarithmic exponents for off-diagonal Ramsey numbers) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/ramsey-five", "version": "1.0.0", "description": "Prove RamseyFive (openai/math family 170: Sharp logarithmic exponents for off-diagonal Ramsey numbers) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/RamseyFive.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": ...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/ramsey-five
openai-math/randomized-mean-payoff
# openai/math challenge `RandomizedMeanPayoff` (family 104) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 104 of the release, *Quasipolynomial algorithms for mean-payoff, stochas...
Prove RandomizedMeanPayoff (openai/math family 104: Quasipolynomial algorithms for mean-payoff, stochastic and parity games) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/randomized-mean-payoff", "version": "1.0.0", "description": "Prove RandomizedMeanPayoff (openai/math family 104: Quasipolynomial algorithms for mean-payoff, stochastic and parity games) in Lean 4 with Mathlib; graded by Comparator in a separate s...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/RandomizedMeanPayoff.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "ch...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/randomized-mean-payoff
openai-math/rational-hitting
# openai/math challenge `RationalHitting` (family 116) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 116 of the release, *Uniform identity testing for noncommutative formulas* (T...
Prove RationalHitting (openai/math family 116: Uniform identity testing for noncommutative formulas) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/rational-hitting", "version": "1.0.0", "description": "Prove RationalHitting (openai/math family 116: Uniform identity testing for noncommutative formulas) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/RationalHitting.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challen...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/rational-hitting
openai-math/real-l1-renorming
# openai/math challenge `RealL1Renorming` (family 330) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 330 of the release, *A negative answer to Kalton's Lipschitz-free approximati...
Prove RealL1Renorming (openai/math family 330: A negative answer to Kalton's Lipschitz-free approximation question) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "functional-analysis" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/real-l1-renorming", "version": "1.0.0", "description": "Prove RealL1Renorming (openai/math family 330: A negative answer to Kalton's Lipschitz-free approximation question) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/RealL1Renorming.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challen...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/real-l1-renorming
openai-math/recursive-potentials
# openai/math challenge `RecursivePotentials` (family 331) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 331 of the release, *Asymptotic midpoint uniform convexity without asympt...
Prove RecursivePotentials (openai/math family 331: Asymptotic midpoint uniform convexity without asymptotically uniformly convex renorming) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "functional-analysis" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/recursive-potentials", "version": "1.0.0", "description": "Prove RecursivePotentials (openai/math family 331: Asymptotic midpoint uniform convexity without asymptotically uniformly convex renorming) in Lean 4 with Mathlib; graded by Comparator in...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/RecursivePotentials.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "cha...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/recursive-potentials
openai-math/reflexive-fixed-points
# openai/math challenge `ReflexiveFixedPoints` (family 328) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 328 of the release, *Fixed points of nonexpansive maps in reflexive Bana...
Prove ReflexiveFixedPoints (openai/math family 328: Fixed points of nonexpansive maps in reflexive Banach spaces) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "functional-analysis" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/reflexive-fixed-points", "version": "1.0.0", "description": "Prove ReflexiveFixedPoints (openai/math family 328: Fixed points of nonexpansive maps in reflexive Banach spaces) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/ReflexiveFixedPoints.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "ch...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/reflexive-fixed-points
openai-math/regular-parity
# openai/math challenge `RegularParity` (family 274) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 274 of the release, *Moore's parity conjecture for $\mathrm{QAC}^0$* (Mathemati...
Prove RegularParity (openai/math family 274: Moore's parity conjecture for $\mathrm{QAC}^0$) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "mathematical-physics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/regular-parity", "version": "1.0.0", "description": "Prove RegularParity (openai/math family 274: Moore's parity conjecture for $\\mathrm{QAC}^0$) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/RegularParity.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/regular-parity
openai-math/relative-generation
# openai/math challenge `RelativeGeneration` (family 296) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 296 of the release, *The generator problem for finite factors* (Operator a...
Prove RelativeGeneration (openai/math family 296: The generator problem for finite factors) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "operator-algebras" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/relative-generation", "version": "1.0.0", "description": "Prove RelativeGeneration (openai/math family 296: The generator problem for finite factors) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "l...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/RelativeGeneration.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chal...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/relative-generation
openai-math/rokhlin
# openai/math challenge `Rokhlin` (family 145) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 145 of the release, *Rokhlin's multiple-mixing problem* (Dynamical systems and ergodi...
Prove Rokhlin (openai/math family 145: Rokhlin's multiple-mixing problem) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "dynamical-systems-and-ergodic-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/rokhlin", "version": "1.0.0", "description": "Prove Rokhlin (openai/math family 145: Rokhlin's multiple-mixing problem) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", "mathlib", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/Rokhlin.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": "Ro...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/rokhlin
openai-math/ruled-covering
# openai/math challenge `RuledCovering` (family 100) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 100 of the release, *A counterexample to Bang's cylinder-covering bound* (Conve...
Prove RuledCovering (openai/math family 100: A counterexample to Bang's cylinder-covering bound) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "convex-and-metric-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/ruled-covering", "version": "1.0.0", "description": "Prove RuledCovering (openai/math family 100: A counterexample to Bang's cylinder-covering bound) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "l...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/RuledCovering.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/ruled-covering
openai-math/ryser-covering
# openai/math challenge `RyserCovering` (family 162) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 162 of the release, *Counterexamples to Ryser's covering and Gyarfas's tree-cov...
Prove RyserCovering (openai/math family 162: Counterexamples to Ryser's covering and Gyarfas's tree-cover conjectures) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/ryser-covering", "version": "1.0.0", "description": "Prove RyserCovering (openai/math family 162: Counterexamples to Ryser's covering and Gyarfas's tree-cover conjectures) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/RyserCovering.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/ryser-covering
openai-math/ryser-odd-extensions
# openai/math challenge `RyserOddExtensions` (family 162) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 162 of the release, *Counterexamples to Ryser's covering and Gyarfas's tre...
Prove RyserOddExtensions (openai/math family 162: Counterexamples to Ryser's covering and Gyarfas's tree-cover conjectures) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/ryser-odd-extensions", "version": "1.0.0", "description": "Prove RyserOddExtensions (openai/math family 162: Counterexamples to Ryser's covering and Gyarfas's tree-cover conjectures) in Lean 4 with Mathlib; graded by Comparator in a separate sand...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/RyserOddExtensions.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chal...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/ryser-odd-extensions
openai-math/sat-computability
# openai/math challenge `SATComputability` (family 235) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 235 of the release, *Random-SAT thresholds, sharp variance and computability...
Prove SATComputability (openai/math family 235: Random-SAT thresholds, sharp variance and computability) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sat-computability", "version": "1.0.0", "description": "Prove SATComputability (openai/math family 235: Random-SAT thresholds, sharp variance and computability) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords":...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SATComputability.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challe...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sat-computability
openai-math/sat-sharpness
# openai/math challenge `SATSharpness` (family 235) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 235 of the release, *Random-SAT thresholds, sharp variance and computability* (P...
Prove SATSharpness (openai/math family 235: Random-SAT thresholds, sharp variance and computability) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sat-sharpness", "version": "1.0.0", "description": "Prove SATSharpness (openai/math family 235: Random-SAT thresholds, sharp variance and computability) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SATSharpness.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge"...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sat-sharpness
openai-math/sat-variance
# openai/math challenge `SATVariance` (family 235) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 235 of the release, *Random-SAT thresholds, sharp variance and computability* (Pr...
Prove SATVariance (openai/math family 235: Random-SAT thresholds, sharp variance and computability) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sat-variance", "version": "1.0.0", "description": "Prove SATVariance (openai/math family 235: Random-SAT thresholds, sharp variance and computability) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SATVariance.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge":...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sat-variance
openai-math/saxl
# openai/math challenge `Saxl` (family 205) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 205 of the release, *Saxl's conjecture and universal tensor squares* (Algebra). The fami...
Prove Saxl (openai/math family 205: Saxl's conjecture and universal tensor squares) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "algebra" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/saxl", "version": "1.0.0", "description": "Prove Saxl (openai/math family 205: Saxl's conjecture and universal tensor squares) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", "mathlib",...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/Saxl.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": "Saxl"...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/saxl
openai-math/second-kahn-kalai
# openai/math challenge `SecondKahnKalai` (family 176) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 176 of the release, *The second Kahn–Kalai conjecture* (Combinatorics). The f...
Prove SecondKahnKalai (openai/math family 176: The second Kahn–Kalai conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/second-kahn-kalai", "version": "1.0.0", "description": "Prove SecondKahnKalai (openai/math family 176: The second Kahn–Kalai conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SecondKahnKalai.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challen...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/second-kahn-kalai
openai-math/self-similar-corollaries
# openai/math challenge `SelfSimilarCorollaries` (family 148) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 148 of the release, *The dimension formula for self-similar measures o...
Prove SelfSimilarCorollaries (openai/math family 148: The dimension formula for self-similar measures on the line) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "dynamical-systems-and-ergodic-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/self-similar-corollaries", "version": "1.0.0", "description": "Prove SelfSimilarCorollaries (openai/math family 148: The dimension formula for self-similar measures on the line) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox."...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SelfSimilarCorollaries.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/self-similar-corollaries
openai-math/self-similar
# openai/math challenge `SelfSimilar` (family 148) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 148 of the release, *The dimension formula for self-similar measures on the line*...
Prove SelfSimilar (openai/math family 148: The dimension formula for self-similar measures on the line) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "dynamical-systems-and-ergodic-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/self-similar", "version": "1.0.0", "description": "Prove SelfSimilar (openai/math family 148: The dimension formula for self-similar measures on the line) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SelfSimilar.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge":...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/self-similar
openai-math/sensitivity-separation
# openai/math challenge `SensitivitySeparation` (family 132) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 132 of the release, *A counterexample to the quadratic sensitivity conj...
Prove SensitivitySeparation (openai/math family 132: A counterexample to the quadratic sensitivity conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sensitivity-separation", "version": "1.0.0", "description": "Prove SensitivitySeparation (openai/math family 132: A counterexample to the quadratic sensitivity conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SensitivitySeparation.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "c...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sensitivity-separation
openai-math/separable-quotient-negative
# openai/math challenge `SeparableQuotientNegative` (family 323) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 323 of the release, *Relative independence of the separable quotien...
Prove SeparableQuotientNegative (openai/math family 323: Relative independence of the separable quotient problem) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "functional-analysis" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/separable-quotient-negative", "version": "1.0.0", "description": "Prove SeparableQuotientNegative (openai/math family 323: Relative independence of the separable quotient problem) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SeparableQuotientNegative.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", ...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/separable-quotient-negative
openai-math/seymour-second-neighborhood
# openai/math challenge `SeymourSecondNeighborhood` (family 173) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 173 of the release, *Seymour's second-neighborhood conjecture* (Com...
Prove SeymourSecondNeighborhood (openai/math family 173: Seymour's second-neighborhood conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/seymour-second-neighborhood", "version": "1.0.0", "description": "Prove SeymourSecondNeighborhood (openai/math family 173: Seymour's second-neighborhood conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywor...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SeymourSecondNeighborhood.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", ...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/seymour-second-neighborhood
openai-math/sharp-cat0-filling
# openai/math challenge `SharpCAT0Filling` (family 337) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 337 of the release, *Cartan–Hadamard isoperimetry and CAT$(0)$ fillings* (Di...
Prove SharpCAT0Filling (openai/math family 337: Cartan–Hadamard isoperimetry and CAT$(0)$ fillings) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "differential-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sharp-cat0-filling", "version": "1.0.0", "description": "Prove SharpCAT0Filling (openai/math family 337: Cartan–Hadamard isoperimetry and CAT$(0)$ fillings) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SharpCAT0Filling.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challe...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sharp-cat0-filling
openai-math/sharp-log-ramsey
# openai/math challenge `SharpLogRamsey` (family 170) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 170 of the release, *Sharp logarithmic exponents for off-diagonal Ramsey numbe...
Prove SharpLogRamsey (openai/math family 170: Sharp logarithmic exponents for off-diagonal Ramsey numbers) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sharp-log-ramsey", "version": "1.0.0", "description": "Prove SharpLogRamsey (openai/math family 170: Sharp logarithmic exponents for off-diagonal Ramsey numbers) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords"...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SharpLogRamsey.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challeng...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sharp-log-ramsey
openai-math/sharp-threshold
# openai/math challenge `SharpThreshold` (family 186) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 186 of the release, *The Friedgut–Kalai graph and hypergraph threshold conject...
Prove SharpThreshold (openai/math family 186: The Friedgut–Kalai graph and hypergraph threshold conjectures) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sharp-threshold", "version": "1.0.0", "description": "Prove SharpThreshold (openai/math family 186: The Friedgut–Kalai graph and hypergraph threshold conjectures) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SharpThreshold.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challeng...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sharp-threshold
openai-math/short-egyptian-fractions
# openai/math challenge `ShortEgyptianFractions` (family 025) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 025 of the release, *Erd\H{o}s’s short Egyptian-fraction conjecture* (...
Prove ShortEgyptianFractions (openai/math family 025: Erd\H{o}s’s short Egyptian-fraction conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "number-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/short-egyptian-fractions", "version": "1.0.0", "description": "Prove ShortEgyptianFractions (openai/math family 025: Erd\\H{o}s’s short Egyptian-fraction conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywo...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/ShortEgyptianFractions.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/short-egyptian-fractions
openai-math/sidorenko-counterexample
# openai/math challenge `SidorenkoCounterexample` (family 161) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 161 of the release, *Counterexamples to Sidorenko's conjecture and th...
Prove SidorenkoCounterexample (openai/math family 161: Counterexamples to Sidorenko's conjecture and the forcing conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "combinatorics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sidorenko-counterexample", "version": "1.0.0", "description": "Prove SidorenkoCounterexample (openai/math family 161: Counterexamples to Sidorenko's conjecture and the forcing conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SidorenkoCounterexample.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", ...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sidorenko-counterexample
openai-math/signed-finite-band
# openai/math challenge `SignedFiniteBand` (family 085) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 085 of the release, *Endpoint regularity of the planar centered maximal func...
Prove SignedFiniteBand (openai/math family 085: Endpoint regularity of the planar centered maximal function) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "real-and-complex-analysis" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/signed-finite-band", "version": "1.0.0", "description": "Prove SignedFiniteBand (openai/math family 085: Endpoint regularity of the planar centered maximal function) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywo...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SignedFiniteBand.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challe...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/signed-finite-band
openai-math/signed-sweep-moment
# openai/math challenge `SignedSweepMoment` (family 238) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 238 of the release, *Optimal logarithmic mixing of the Thorp shuffle* (Prob...
Prove SignedSweepMoment (openai/math family 238: Optimal logarithmic mixing of the Thorp shuffle) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/signed-sweep-moment", "version": "1.0.0", "description": "Prove SignedSweepMoment (openai/math family 238: Optimal logarithmic mixing of the Thorp shuffle) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SignedSweepMoment.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chall...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/signed-sweep-moment
openai-math/simple-amenable
# openai/math challenge `SimpleAmenable` (family 253) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 253 of the release, *An infinite finitely presented simple amenable group* (Gr...
Prove SimpleAmenable (openai/math family 253: An infinite finitely presented simple amenable group) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "group-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/simple-amenable", "version": "1.0.0", "description": "Prove SimpleAmenable (openai/math family 253: An infinite finitely presented simple amenable group) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SimpleAmenable.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challeng...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/simple-amenable
openai-math/simple-overgroups
# openai/math challenge `SimpleOvergroups` (family 250) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 250 of the release, *The Boone–Higman conjecture and higher finiteness* (Gro...
Prove SimpleOvergroups (openai/math family 250: The Boone–Higman conjecture and higher finiteness) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "group-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/simple-overgroups", "version": "1.0.0", "description": "Prove SimpleOvergroups (openai/math family 250: The Boone–Higman conjecture and higher finiteness) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SimpleOvergroups.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challe...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/simple-overgroups
openai-math/single-fold
# openai/math challenge `SingleFold` (family 242) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 242 of the release, *Single-fold Diophantine representations* (Mathematical logic)...
Prove SingleFold (openai/math family 242: Single-fold Diophantine representations) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "mathematical-logic" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/single-fold", "version": "1.0.0", "description": "Prove SingleFold (openai/math family 242: Single-fold Diophantine representations) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", "mat...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SingleFold.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": ...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/single-fold
openai-math/single-lattice-covering
# openai/math challenge `SingleLatticeCovering` (family 092) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 092 of the release, *The optimal order of convex-body covering density*...
Prove SingleLatticeCovering (openai/math family 092: The optimal order of convex-body covering density) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "convex-and-metric-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/single-lattice-covering", "version": "1.0.0", "description": "Prove SingleLatticeCovering (openai/math family 092: The optimal order of convex-body covering density) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywo...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SingleLatticeCovering.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "c...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/single-lattice-covering
openai-math/singleton-loop-matching
# openai/math challenge `SingletonLoopMatching` (family 113) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 113 of the release, *Approximate counting and the perfect-matching entr...
Prove SingletonLoopMatching (openai/math family 113: Approximate counting and the perfect-matching entropy conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/singleton-loop-matching", "version": "1.0.0", "description": "Prove SingletonLoopMatching (openai/math family 113: Approximate counting and the perfect-matching entropy conjecture) in Lean 4 with Mathlib; graded by Comparator in a separate sandbo...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SingletonLoopMatching.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "c...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/singleton-loop-matching
openai-math/sk-barriers
# openai/math challenge `SKBarriers` (family 227) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 227 of the release, *The dynamical phase transition in the Sherrington–Kirkpatrick...
Prove SKBarriers (openai/math family 227: The dynamical phase transition in the Sherrington–Kirkpatrick model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sk-barriers", "version": "1.0.0", "description": "Prove SKBarriers (openai/math family 227: The dynamical phase transition in the Sherrington–Kirkpatrick model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords":...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SKBarriers.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": ...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sk-barriers
openai-math/sk-full-support
# openai/math challenge `SKFullSupport` (family 281) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 281 of the release, *QAOA optimality for the SK model* (Mathematical physics). ...
Prove SKFullSupport (openai/math family 281: QAOA optimality for the SK model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "mathematical-physics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sk-full-support", "version": "1.0.0", "description": "Prove SKFullSupport (openai/math family 281: QAOA optimality for the SK model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", "mat...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SKFullSupport.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sk-full-support
openai-math/sk-high-temperature
# openai/math challenge `SKHighTemperature` (family 227) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 227 of the release, *The dynamical phase transition in the Sherrington–Kirk...
Prove SKHighTemperature (openai/math family 227: The dynamical phase transition in the Sherrington–Kirkpatrick model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sk-high-temperature", "version": "1.0.0", "description": "Prove SKHighTemperature (openai/math family 227: The dynamical phase transition in the Sherrington–Kirkpatrick model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SKHighTemperature.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chall...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sk-high-temperature
openai-math/sk-ratio
# openai/math challenge `SKRatio` (family 227) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 227 of the release, *The dynamical phase transition in the Sherrington–Kirkpatrick mo...
Prove SKRatio (openai/math family 227: The dynamical phase transition in the Sherrington–Kirkpatrick model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sk-ratio", "version": "1.0.0", "description": "Prove SKRatio (openai/math family 227: The dynamical phase transition in the Sherrington–Kirkpatrick model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SKRatio.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": "SK...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sk-ratio
openai-math/sk-value
# openai/math challenge `SKValue` (family 281) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 281 of the release, *QAOA optimality for the SK model* (Mathematical physics). The fa...
Prove SKValue (openai/math family 281: QAOA optimality for the SK model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "mathematical-physics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sk-value", "version": "1.0.0", "description": "Prove SKValue (openai/math family 281: QAOA optimality for the SK model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", "mathlib", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SKValue.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": "SK...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sk-value
openai-math/sle-lower-positivity
# openai/math challenge `SLELowerPositivity` (family 230) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 230 of the release, *Exact Hausdorff measure for SLE* (Probability and sta...
Prove SLELowerPositivity (openai/math family 230: Exact Hausdorff measure for SLE) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "probability-and-statistical-mechanics" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/sle-lower-positivity", "version": "1.0.0", "description": "Prove SLELowerPositivity (openai/math family 230: Exact Hausdorff measure for SLE) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4", ...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SLELowerPositivity.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chal...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/sle-lower-positivity
openai-math/smooth-initial-form
# openai/math challenge `SmoothInitialForm` (family 108) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 108 of the release, *A cubic permanent–determinant lower bound* (Theoretica...
Prove SmoothInitialForm (openai/math family 108: A cubic permanent–determinant lower bound) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "theoretical-computer-science" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/smooth-initial-form", "version": "1.0.0", "description": "Prove SmoothInitialForm (openai/math family 108: A cubic permanent–determinant lower bound) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "l...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SmoothInitialForm.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chall...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/smooth-initial-form
openai-math/smooth-obstruction
# openai/math challenge `SmoothObstruction` (family 152) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 152 of the release, *Zero entropy does not guarantee a smooth positive-volu...
Prove SmoothObstruction (openai/math family 152: Zero entropy does not guarantee a smooth positive-volume model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "dynamical-systems-and-ergodic-theory" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/smooth-obstruction", "version": "1.0.0", "description": "Prove SmoothObstruction (openai/math family 152: Zero entropy does not guarantee a smooth positive-volume model) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "k...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SmoothObstruction.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "chall...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/smooth-obstruction
openai-math/smooth-yau
# openai/math challenge `SmoothYau` (family 350) Prove the following result from OpenAI's [openai/math](https://github.com/openai/math) release in Lean 4, with a proof the Lean kernel accepts. Context: this statement belongs to family 350 of the release, *Yau's nodal conjecture: surfaces and counterexamples* (Differe...
Prove SmoothYau (openai/math family 350: Yau's nodal conjecture: surfaces and counterexamples) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.
[ "lean4", "mathlib", "theorem-proving", "openai-math", "differential-geometry" ]
1.4
{ "schema_version": "1.4", "task": { "name": "openai-math/smooth-yau", "version": "1.0.0", "description": "Prove SmoothYau (openai/math family 350: Yau's nodal conjecture: surfaces and counterexamples) in Lean 4 with Mathlib; graded by Comparator in a separate sandbox.", "keywords": [ "lean4",...
{ "source": "https://github.com/openai/math", "source_commit": "adc7f1241b42e322a6451854ab7e4b4c146bf78a", "source_license": "Apache-2.0", "source_notice": "tests/Challenge.lean is lean/ComparatorChallenges/SmoothYau.lean from openai/math, (c) OpenAI, unchanged; see NOTICE at the dataset root", "challenge": "...
[ "environment/Dockerfile", "environment/fetch_mathlib.sh", "environment/lake-manifest.json", "environment/lakefile.lean", "environment/lean_setup.sh", "environment/pack_submission.py", "instruction.md", "solution/closure.txt", "solution/reference.py", "solution/solve.sh", "task.toml", "tests/Ch...
tasks/smooth-yau