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