Atipico1/nq-test
收藏资源简介:
--- dataset_info: - config_name: adversary features: - name: question dtype: string - name: answers sequence: string - name: ctxs list: - name: hasanswer dtype: bool - name: score dtype: float64 - name: text dtype: string - name: title dtype: string - name: gpt_answer_sentence dtype: string - name: gpt_adv_sentence sequence: string - name: is_valid_adv_sentence dtype: bool - name: gpt_adv_passage sequence: string - name: is_valid_adv_passage dtype: bool splits: - name: train num_bytes: 28520709 num_examples: 3610 download_size: 16013125 dataset_size: 28520709 - config_name: adversary-sent features: - name: question dtype: string - name: answers sequence: string - name: gpt_answer_sentence dtype: string - name: gpt_adv_sentence sequence: string - name: is_valid_adv_sentence dtype: bool - name: gpt_adv_passage sequence: string - name: is_valid_adv_passage dtype: bool - name: ctxs list: - name: hasanswer dtype: bool - name: score dtype: float32 - name: text dtype: string splits: - name: train num_bytes: 7841766 num_examples: 3610 download_size: 4333156 dataset_size: 7841766 - config_name: adversary_v2 features: - name: question dtype: string - name: answers sequence: string - name: ctxs list: - name: hasanswer dtype: bool - name: score dtype: float64 - name: text dtype: string - name: title dtype: string - name: gpt_answer_sentence dtype: string - name: gpt_adv_sentence sequence: string - name: is_valid_adv_sentence dtype: bool - name: gpt_adv_passage sequence: string - name: is_valid_adv_passage dtype: bool splits: - name: train num_bytes: 28520588 num_examples: 3610 download_size: 16014456 dataset_size: 28520588 - config_name: adversary_v2-sent features: - name: question dtype: string - name: answers sequence: string - name: gpt_answer_sentence dtype: string - name: gpt_adv_sentence sequence: string - name: is_valid_adv_sentence dtype: bool - name: gpt_adv_passage sequence: string - name: is_valid_adv_passage dtype: bool - name: ctxs list: - name: hasanswer dtype: bool - name: score dtype: float32 - name: text dtype: string splits: - name: train num_bytes: 7946175 num_examples: 3610 download_size: 4474343 dataset_size: 7946175 - config_name: adversary_v3 features: - name: question dtype: string - name: answers sequence: string - name: ctxs list: - name: hasanswer dtype: bool - name: score dtype: float64 - name: text dtype: string - name: title dtype: string - name: gpt_answer_sentence dtype: string - name: gpt_adv_sentence sequence: string - name: is_valid_adv_sentence dtype: bool - name: gpt_adv_passage sequence: string - name: is_valid_adv_passage dtype: bool splits: - name: train num_bytes: 28520588 num_examples: 3610 download_size: 16014456 dataset_size: 28520588 - config_name: conflict features: - name: question dtype: string - name: answers sequence: string - name: ctxs list: - name: hasanswer dtype: bool - name: score dtype: float64 - name: text dtype: string - name: title dtype: string - name: gpt_answer_sentence dtype: string - name: entity_type dtype: string - name: similar_entity dtype: string - name: similar_entity_score dtype: float32 - name: random_entity dtype: string - name: random_entity_score dtype: float64 splits: - name: train num_bytes: 24192330 num_examples: 3610 download_size: 13890009 dataset_size: 24192330 - config_name: conflict_v1 features: - name: question dtype: string - name: answers sequence: string - name: ctxs list: - name: hasanswer dtype: bool - name: score dtype: float64 - name: text dtype: string - name: title dtype: string - name: gpt_answer_sentence dtype: string - name: entity_type dtype: string - name: similar_entity dtype: string - name: similar_entity_score dtype: float32 - name: random_entity dtype: string - name: random_entity_score dtype: float64 - name: gpt_conflict_sentence sequence: string - name: is_valid_conflict_sentence dtype: bool - name: gpt_conflict_passage sequence: string - name: is_valid_conflict_passage dtype: bool splits: - name: train num_bytes: 25835423 num_examples: 3610 download_size: 14872958 dataset_size: 25835423 - config_name: conflict_v1-sent features: - name: question dtype: string - name: answers sequence: string - name: gpt_answer_sentence dtype: string - name: entity_type dtype: string - name: similar_entity dtype: string - name: similar_entity_score dtype: float32 - name: random_entity dtype: string - name: random_entity_score dtype: float64 - name: gpt_conflict_sentence sequence: string - name: is_valid_conflict_sentence dtype: bool - name: gpt_conflict_passage sequence: string - name: is_valid_conflict_passage dtype: bool - name: ctxs list: - name: hasanswer dtype: bool - name: score dtype: float32 - name: text dtype: string splits: - name: train num_bytes: 5261010 num_examples: 3610 download_size: 3332793 dataset_size: 5261010 - config_name: default features: - name: question dtype: string - name: answers sequence: string - name: ctxs list: - name: hasanswer dtype: bool - name: score dtype: float64 - name: text dtype: string - name: title dtype: string splits: - name: train num_bytes: 23673906 num_examples: 3610 download_size: 13529716 dataset_size: 23673906 configs: - config_name: adversary data_files: - split: train path: adversary/train-* - config_name: adversary-sent data_files: - split: train path: adversary-sent/train-* - config_name: adversary_v2 data_files: - split: train path: adversary_v2/train-* - config_name: adversary_v2-sent data_files: - split: train path: adversary_v2-sent/train-* - config_name: adversary_v3 data_files: - split: train path: adversary_v3/train-* - config_name: conflict data_files: - split: train path: conflict/train-* - config_name: conflict_v1 data_files: - split: train path: conflict_v1/train-* - config_name: conflict_v1-sent data_files: - split: train path: conflict_v1-sent/train-* - config_name: default data_files: - split: train path: data/train-* ---
数据集概述
数据集配置 adversary
- 特征:
question: 数据类型为字符串answers: 数据类型为字符串序列ctxs: 列表类型,包含以下子特征:hasanswer: 数据类型为布尔值score: 数据类型为浮点数64位text: 数据类型为字符串title: 数据类型为字符串
gpt_answer_sentence: 数据类型为字符串gpt_adv_sentence: 数据类型为字符串序列is_valid_adv_sentence: 数据类型为布尔值gpt_adv_passage: 数据类型为字符串序列is_valid_adv_passage: 数据类型为布尔值
- 分割:
train: 数据大小为28520709字节,包含3610个示例- 下载大小: 16013125字节
- 数据集大小: 28520709字节
数据集配置 adversary-sent
- 特征:
question: 数据类型为字符串answers: 数据类型为字符串序列gpt_answer_sentence: 数据类型为字符串gpt_adv_sentence: 数据类型为字符串序列is_valid_adv_sentence: 数据类型为布尔值gpt_adv_passage: 数据类型为字符串序列is_valid_adv_passage: 数据类型为布尔值ctxs: 列表类型,包含以下子特征:hasanswer: 数据类型为布尔值score: 数据类型为浮点数32位text: 数据类型为字符串
- 分割:
train: 数据大小为7841766字节,包含3610个示例- 下载大小: 4333156字节
- 数据集大小: 7841766字节
数据集配置 adversary_v2
- 特征:
question: 数据类型为字符串answers: 数据类型为字符串序列ctxs: 列表类型,包含以下子特征:hasanswer: 数据类型为布尔值score: 数据类型为浮点数64位text: 数据类型为字符串title: 数据类型为字符串
gpt_answer_sentence: 数据类型为字符串gpt_adv_sentence: 数据类型为字符串序列is_valid_adv_sentence: 数据类型为布尔值gpt_adv_passage: 数据类型为字符串序列is_valid_adv_passage: 数据类型为布尔值
- 分割:
train: 数据大小为28520588字节,包含3610个示例- 下载大小: 16014456字节
- 数据集大小: 28520588字节
数据集配置 adversary_v2-sent
- 特征:
question: 数据类型为字符串answers: 数据类型为字符串序列gpt_answer_sentence: 数据类型为字符串gpt_adv_sentence: 数据类型为字符串序列is_valid_adv_sentence: 数据类型为布尔值gpt_adv_passage: 数据类型为字符串序列is_valid_adv_passage: 数据类型为布尔值ctxs: 列表类型,包含以下子特征:hasanswer: 数据类型为布尔值score: 数据类型为浮点数32位text: 数据类型为字符串
- 分割:
train: 数据大小为7946175字节,包含3610个示例- 下载大小: 4474343字节
- 数据集大小: 7946175字节
数据集配置 adversary_v3
- 特征:
question: 数据类型为字符串answers: 数据类型为字符串序列ctxs: 列表类型,包含以下子特征:hasanswer: 数据类型为布尔值score: 数据类型为浮点数64位text: 数据类型为字符串title: 数据类型为字符串
gpt_answer_sentence: 数据类型为字符串gpt_adv_sentence: 数据类型为字符串序列is_valid_adv_sentence: 数据类型为布尔值gpt_adv_passage: 数据类型为字符串序列is_valid_adv_passage: 数据类型为布尔值
- 分割:
train: 数据大小为28520588字节,包含3610个示例- 下载大小: 16014456字节
- 数据集大小: 28520588字节
数据集配置 conflict
- 特征:
question: 数据类型为字符串answers: 数据类型为字符串序列ctxs: 列表类型,包含以下子特征:hasanswer: 数据类型为布尔值score: 数据类型为浮点数64位text: 数据类型为字符串title: 数据类型为字符串
gpt_answer_sentence: 数据类型为字符串entity_type: 数据类型为字符串similar_entity: 数据类型为字符串similar_entity_score: 数据类型为浮点数32位random_entity: 数据类型为字符串random_entity_score: 数据类型为浮点数64位
- 分割:
train: 数据大小为24192330字节,包含3610个示例- 下载大小: 13890009字节
- 数据集大小: 24192330字节
数据集配置 conflict_v1
- 特征:
question: 数据类型为字符串answers: 数据类型为字符串序列ctxs: 列表类型,包含以下子特征:hasanswer: 数据类型为布尔值score: 数据类型为浮点数64位text: 数据类型为字符串title: 数据类型为字符串
gpt_answer_sentence: 数据类型为字符串entity_type: 数据类型为字符串similar_entity: 数据类型为字符串similar_entity_score: 数据类型为浮点数32位random_entity: 数据类型为字符串random_entity_score: 数据类型为浮点数64位gpt_conflict_sentence: 数据类型为字符串序列is_valid_conflict_sentence: 数据类型为布尔值gpt_conflict_passage: 数据类型为字符串序列is_valid_conflict_passage: 数据类型为布尔值
- 分割:
train: 数据大小为25835423字节,包含3610个示例- 下载大小: 14872958字节
- 数据集大小: 25835423字节
数据集配置 conflict_v1-sent
- 特征:
question: 数据类型为字符串answers: 数据类型为字符串序列gpt_answer_sentence: 数据类型为字符串entity_type: 数据类型为字符串similar_entity: 数据类型为字符串similar_entity_score: 数据类型为浮点数32位random_entity: 数据类型为字符串random_entity_score: 数据类型为浮点数64位gpt_conflict_sentence: 数据类型为字符串序列is_valid_conflict_sentence: 数据类型为布尔值gpt_conflict_passage: 数据类型为字符串序列is_valid_conflict_passage: 数据类型为布尔值ctxs: 列表类型,包含以下子特征:hasanswer: 数据类型为布尔值score: 数据类型为浮点数32位text: 数据类型为字符串
- 分割:
train: 数据大小为5261010字节,包含3610个示例- 下载大小: 3332793字节
- 数据集大小: 5261010字节
数据集配置 default
- 特征:
question: 数据类型为字符串answers: 数据类型为字符串序列ctxs: 列表类型,包含以下子特征:hasanswer: 数据类型为布尔值score: 数据类型为浮点数64位text: 数据类型为字符串title: 数据类型为字符串
- 分割:
train: 数据大小为23673906字节,包含3610个示例- 下载大小: 13529716字节
- 数据集大小: 23673906字节



