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Multimodal-Fatima/VQAv2_testdev_final

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Hugging Face2023-05-14 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/Multimodal-Fatima/VQAv2_testdev_final
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资源简介:
--- dataset_info: features: - name: question_type dtype: string - name: multiple_choice_answer dtype: string - name: answers sequence: string - name: answers_original list: - name: answer dtype: string - name: answer_confidence dtype: string - name: answer_id dtype: int64 - name: id_image dtype: int64 - name: answer_type dtype: string - name: question_id dtype: int64 - name: question dtype: string - name: image dtype: image - name: id dtype: int64 - name: clip_tags_ViT_L_14 sequence: string - name: blip_caption dtype: string - name: LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14 sequence: string - name: DETA_detections_deta_swin_large_o365_coco_classes list: - name: attribute dtype: string - name: box sequence: float32 - name: label dtype: string - name: location dtype: string - name: ratio dtype: float32 - name: size dtype: string - name: tag dtype: string - name: DETA_detections_deta_swin_large_o365_coco_classes_caption_module_random list: - name: attribute dtype: string - name: box sequence: float64 - name: captions_module sequence: string - name: captions_module_filter sequence: string - name: label dtype: string - name: location dtype: string - name: ratio dtype: float64 - name: size dtype: string - name: tag dtype: string - name: Attributes_ViT_L_14_descriptors_text_davinci_003_full sequence: string - name: Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full sequence: string - name: clip_tags_ViT_L_14_with_openai sequence: string - name: clip_tags_LAION_ViT_H_14_2B_with_openai sequence: string splits: - name: testdev num_bytes: 22095364841.0 num_examples: 107394 download_size: 11622249771 dataset_size: 22095364841.0 --- # Dataset Card for "VQAv2_testdev_final" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

数据集信息: 特征: - 字段名:question_type(问题类型),数据类型:字符串型 - 字段名:multiple_choice_answer(选择题答案),数据类型:字符串型 - 字段名:answers(答案集),数据类型:字符串序列型 - 字段名:answers_original(原始答案集),列表型,包含: - answer(答案):字符串型 - answer_confidence(答案置信度):字符串型 - answer_id(答案ID):64位整型 - 字段名:id_image(图像ID),数据类型:64位整型 - 字段名:answer_type(答案类型),数据类型:字符串型 - 字段名:question_id(问题ID),数据类型:64位整型 - 字段名:question(问题文本),数据类型:字符串型 - 字段名:image(图像数据),数据类型:图像型 - 字段名:id(样本ID),数据类型:64位整型 - 字段名:clip_tags_ViT_L_14(ViT-L_14模型CLIP标签),数据类型:字符串序列型(CLIP:对比语言-图像预训练模型) - 字段名:blip_caption(BLIP字幕),数据类型:字符串型(BLIP:自举语言-图像预训练模型) - 字段名:LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14(基于GPT3、视觉基因组与ViT-L_14的大语言模型下游任务描述),数据类型:字符串序列型(大语言模型:Large Language Model,LLM) - 字段名:DETA_detections_deta_swin_large_o365_coco_classes(DETA Swin Large模型O365 COCO类别集检测结果),列表型,包含: - attribute(属性):字符串型 - box(边界框):32位浮点型序列 - label(标签):字符串型 - location(位置):字符串型 - ratio(宽高比):32位浮点型 - size(尺寸):字符串型 - tag(标记):字符串型 - 字段名:DETA_detections_deta_swin_large_o365_coco_classes_caption_module_random(带随机字幕模块的DETA Swin Large模型O365 COCO类别集检测结果),列表型,包含: - attribute(属性):字符串型 - box(边界框):64位浮点型序列 - captions_module(字幕模块):字符串型序列 - captions_module_filter(字幕模块过滤结果):字符串型序列 - label(标签):字符串型 - location(位置):字符串型 - ratio(宽高比):64位浮点型 - size(尺寸):字符串型 - tag(标记):字符串型 - 字段名:Attributes_ViT_L_14_descriptors_text_davinci_003_full(ViT-L_14与text-davinci-003全量属性描述符),数据类型:字符串序列型 - 字段名:Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full(LAION ViT-H_14_2B与text-davinci-003全量属性描述符),数据类型:字符串序列型 - 字段名:clip_tags_ViT_L_14_with_openai(带OpenAI标注的ViT-L_14模型CLIP标签),数据类型:字符串序列型 - 字段名:clip_tags_LAION_ViT_H_14_2B_with_openai(带OpenAI标注的LAION ViT-H_14_2B模型CLIP标签),数据类型:字符串序列型 数据集划分: - 划分名称:testdev,字节数:22095364841.0,样本数:107394 下载大小:11622249771 数据集总大小:22095364841.0 --- # 数据集卡片:"VQAv2_testdev_final" [需补充更多信息](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
Multimodal-Fatima
原始信息汇总

数据集概述

数据集名称

VQAv2_testdev_final

数据集特征

  • question_type (string)
  • multiple_choice_answer (string)
  • answers (sequence: string)
  • answers_original (list)
    • answer (string)
    • answer_confidence (string)
    • answer_id (int64)
  • id_image (int64)
  • answer_type (string)
  • question_id (int64)
  • question (string)
  • image (image)
  • id (int64)
  • clip_tags_ViT_L_14 (sequence: string)
  • blip_caption (string)
  • LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14 (sequence: string)
  • DETA_detections_deta_swin_large_o365_coco_classes (list)
    • attribute (string)
    • box (sequence: float32)
    • label (string)
    • location (string)
    • ratio (float32)
    • size (string)
    • tag (string)
  • DETA_detections_deta_swin_large_o365_coco_classes_caption_module_random (list)
    • attribute (string)
    • box (sequence: float64)
    • captions_module (sequence: string)
    • captions_module_filter (sequence: string)
    • label (string)
    • location (string)
    • ratio (float64)
    • size (string)
    • tag (string)
  • Attributes_ViT_L_14_descriptors_text_davinci_003_full (sequence: string)
  • Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full (sequence: string)
  • clip_tags_ViT_L_14_with_openai (sequence: string)
  • clip_tags_LAION_ViT_H_14_2B_with_openai (sequence: string)

数据集分割

  • testdev
    • num_bytes: 22095364841.0
    • num_examples: 107394

数据集大小

  • download_size: 11622249771
  • dataset_size: 22095364841.0
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