--- dataset_info: features: - name: clip-RN50 sequence: float64 - name: face sequence: sequence: sequence: sequence: float64 - name: face_box sequence: sequence: float64 - name: face_embedding sequence: float64 - name: face_landmarks sequence: sequence: sequence: float64 - name: face_prob sequence: float64 - name: id dtype: string - name: imagenet-RN50 sequence: float64 - name: input dtype: string - name: kilt_id dtype: string - name: meta struct: - name: left_context dtype: string - name: mention dtype: string - name: obj_surface struct: - name: text sequence: 'null' - name: partial_evidence struct: - name: end_paragraph_id sequence: 'null' - name: meta sequence: 'null' - name: section sequence: 'null' - name: start_paragraph_id sequence: 'null' - name: title sequence: 'null' - name: wikipedia_id sequence: 'null' - name: right_context dtype: string - name: sub_surface struct: - name: text sequence: 'null' - name: subj_aliases struct: - name: text sequence: 'null' - name: template_questions struct: - name: text sequence: 'null' - name: original_question dtype: string - name: output struct: - name: answer sequence: string - name: meta sequence: 'null' - name: original_answer dtype: string - name: provenance list: - name: bleu_score sequence: float64 - name: end_character sequence: int64 - name: end_paragraph_id sequence: int64 - name: meta sequence: 'null' - name: section sequence: string - name: start_character sequence: int64 - name: start_paragraph_id sequence: int64 - name: title sequence: string - name: wikipedia_id sequence: string - name: url dtype: string - name: wikidata_id dtype: string - name: search_indices sequence: int64 - name: search_provenance_indices sequence: int64 - name: search_irrelevant_indices sequence: int64 splits: - name: train num_bytes: 313513980 num_examples: 1165 - name: validation num_bytes: 299175833 num_examples: 1216 - name: test num_bytes: 304124128 num_examples: 1237 download_size: 139611306 dataset_size: 916813941 license: cc-by-4.0 --- # Dataset Card for "miniviquae_dataset" Reduced version of ViQuAE, see https://github.com/PaulLerner/ViQuAE