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---
license: mit
task_categories:
- question-answering
language:
- en
tags:
- code
size_categories:
- 1K<n<10K
Introduction: This is the AlgoSimBench dataset, which contains competitive-level programming
problems and fine-grained algorithm tags for topics related to the problems and
corresponding algorithms to solve them. The purpose of AlgoSimBench is to evaluate
models' abilities in identifying algorithmically similar problems. AlgoSimBench-mcq
consists of 402 multiple-choice questions, with a reference problem, one algorithmically
similar positive and 3 algorithmically dissimilar negatives. Each problem_id corresponds
to ones in the raw problem corpus.
configs:
- config_name: default
data_files:
- split: MCQ_test
path: data/MCQ_test-*
dataset_info:
features:
- name: negative
list:
- name: prob_id
dtype: string
- name: tags
sequence: string
- name: positive
struct:
- name: prob_id
dtype: string
- name: tags
sequence: string
- name: reference
struct:
- name: prob_id
dtype: string
- name: tags
sequence: string
splits:
- name: MCQ_test
num_bytes: 141382
num_examples: 402
download_size: 31573
dataset_size: 141382
---
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