metadata
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