| license: cc-by-sa-4.0 | |
| # Dataset Card for RedirectQA v0.1.0 | |
| RedirectQA v0.1.0 is an entity-based Question Answering (QA) dataset that considers multiple surface forms. | |
| For each triplet, the dataset includes multiple QA pairs based on different surface forms, allowing for a more comprehensive evaluation of entity knowledge of models. | |
| ## Dataset Structure | |
| ```Python | |
| DatasetDict({ | |
| train: Dataset({ | |
| features: ['subject', 'predicate', 'object', 'subject_surface', 'predicate_surface', 'object_surface', 'subject_aliases', 'object_aliases', 'subject_wiki_title', 'object_wiki_title', 'question', 'possible_answers', 'triplet_id', 'subject_redirect_wiki_title', 'subject_surface_category', 'index'], | |
| num_rows: 22869 | |
| }) | |
| }) | |
| ``` | |
| ## Example | |
| ```Python | |
| from datasets import load_dataset | |
| dataset = load_dataset("naist-nlp/RedirectQA", revision="v0.1.0") | |
| ``` | |