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namanbnsl/rosettabench-150-stratified-compressed

About Dataset Why? Used for RosettaBench (A contamination-free benchmark for measuring learning, not memorization). Preparation Source: LiveCodeBench (release_v5, AtCoder platform only), accessed via sam-paech/livecodebench-code_generation_lite on Hugging Face. AtCoder problems were selected for platform consistency and STDIN/STDOUT format compatibility. Problems with fewer than 3 test cases were excluded, leaving a pool of 342 problems. Sampling:… See the full description on the dataset page: https://huggingface.co/datasets/namanbnsl/rosettabench-150-stratified-compressed.

sourceHugging Faceccupdated 5mo agoView on Hugging Face
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Dataset Card

About Dataset

Why?

Used for RosettaBench (A contamination-free benchmark for measuring learning, not memorization).

Preparation

Source: LiveCodeBench (release_v5, AtCoder platform only), accessed via sam-paech/livecodebench-code_generation_lite on Hugging Face.

AtCoder problems were selected for platform consistency and STDIN/STDOUT format compatibility. Problems with fewer than 3 test cases were excluded, leaving a pool of 342 problems.

Sampling: 150 problems sampled with random_state=42 using stratified sampling across difficulty tiers.

DifficultyCountPool available
Easy40117
Medium50113
Hard60112

Avg test cases per problem: 3.2 (min: 3, max: 6).

Columns

ColumnTypeDescription
question_idstringUnique problem ID (e.g. abc333_b)
question_titlestringProblem title
question_contentstringFull problem statement
difficultystringeasy / medium / hard
platformstringAlways atcoder
all_testslistCombined public + private test cases
lang_seedintSeed for deterministic language generation