Datasets:
| pretty_name: Permutation Composition Dataset (Z4) | |
| size_categories: | |
| - small | |
| - medium | |
| - large | |
| tags: | |
| - mathematics | |
| - group-theory | |
| - permutations | |
| - sequence-to-sequence | |
| - benchmark | |
| task_categories: | |
| - text-generation | |
| - sequence-modeling | |
| # Permutation Composition Dataset for Z4 | |
| This dataset contains 8000 samples of permutation composition problems for the group Z4. | |
| ## Group Information | |
| - **Group**: Z4 | |
| - **Order**: 4 | |
| - **Degree**: 4 | |
| ## Dataset Statistics | |
| - **Total samples**: 8000 | |
| - **Train samples**: 6400 | |
| - **Test samples**: 1600 | |
| - **Min sequence length**: 3 | |
| - **Max sequence length**: 512 | |
| ## Usage | |
| ```python | |
| from datasets import load_dataset | |
| # Load the dataset | |
| dataset = load_dataset("None") | |
| # Load the permutation mapping | |
| metadata_path = hf_hub_download(repo_id="None", filename="metadata.json") | |
| with open(metadata_path, "r") as f: | |
| id_to_perm_map = json.load(f) | |
| ``` | |
| ## License | |
| This dataset is licensed under the MIT License. | |