| --- |
| 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 |
| --- |
| |
