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