five

Multimodal-Fatima/VQAv2_test_2

收藏
Hugging Face2023-05-08 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/Multimodal-Fatima/VQAv2_test_2
下载链接
链接失效反馈
官方服务:
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: Attributes_ViT_L_14_descriptors_text_davinci_003_full sequence: string - name: clip_tags_ViT_L_14_wo_openai sequence: string - name: clip_tags_ViT_L_14_with_openai sequence: string - name: clip_tags_LAION_ViT_H_14_2B_wo_openai sequence: string - name: clip_tags_LAION_ViT_H_14_2B_with_openai sequence: string - name: clip_tags_LAION_ViT_bigG_14_2B_wo_openai sequence: string - name: clip_tags_LAION_ViT_bigG_14_2B_with_openai sequence: string - name: Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full sequence: string - name: Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full sequence: string splits: - name: test num_bytes: 14214582779.0 num_examples: 89559 download_size: 2707843217 dataset_size: 14214582779.0 --- # Dataset Card for "VQAv2_test_2" [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: - question_type(问题类型):数据类型为字符串 - multiple_choice_answer(多项选择题答案):数据类型为字符串 - answers(答案):字符串序列 - answers_original(原始答案):列表结构,包含以下子字段: - answer(答案文本):数据类型为字符串 - answer_confidence(答案置信度):数据类型为字符串 - answer_id(答案编号):数据类型为int64 - id_image(图像ID):数据类型为int64 - answer_type(答案类型):数据类型为字符串 - question_id(问题ID):数据类型为int64 - question(问题文本):数据类型为字符串 - image(图像):图像类型 - id(样本ID):数据类型为int64 - clip_tags_ViT_L_14:ViT-L/14模型CLIP标签,字符串序列 - blip_caption(BLIP图像标题):数据类型为字符串 - LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14:基于ViT-L/14的视觉基因组(Visual Genome)下游任务的GPT-3大语言模型(Large Language Model)描述,字符串序列 - DETA_detections_deta_swin_large_o365_coco_classes:基于DETA-Swin-Large模型、适配O365与COCO类别的检测结果,列表结构,包含以下子字段: - attribute(属性):数据类型为字符串 - box(边界框):float32序列 - label(类别标签):数据类型为字符串 - location(位置):数据类型为字符串 - ratio(宽高比):数据类型为float32 - size(尺寸):数据类型为字符串 - tag(标签):数据类型为字符串 - Attributes_ViT_L_14_descriptors_text_davinci_003_full:使用text-davinci-003生成的ViT-L/14属性描述符,字符串序列 - clip_tags_ViT_L_14_wo_openai:不带OpenAI标签的ViT-L/14模型CLIP标签,字符串序列 - clip_tags_ViT_L_14_with_openai:带OpenAI标签的ViT-L/14模型CLIP标签,字符串序列 - clip_tags_LAION_ViT_H_14_2B_wo_openai:不带OpenAI标签的LAION-ViT-H/14 2B模型CLIP标签,字符串序列 - clip_tags_LAION_ViT_H_14_2B_with_openai:带OpenAI标签的LAION-ViT-H/14 2B模型CLIP标签,字符串序列 - clip_tags_LAION_ViT_bigG_14_2B_wo_openai:不带OpenAI标签的LAION-ViT-bigG/14 2B模型CLIP标签,字符串序列 - clip_tags_LAION_ViT_bigG_14_2B_with_openai:带OpenAI标签的LAION-ViT-bigG/14 2B模型CLIP标签,字符串序列 - Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full:使用text-davinci-003生成的LAION-ViT-H/14 2B模型属性描述符,字符串序列 - Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full:使用text-davinci-003生成的LAION-ViT-bigG/14 2B模型属性描述符,字符串序列 数据集划分: - 划分名称:test(测试集) 字节数:14214582779.0 样本数量:89559 下载大小:2707843217 数据集总大小:14214582779.0 # 「VQAv2_test_2」数据集卡片 [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_test_2

数据集特征

  • question_type (字符串)
  • multiple_choice_answer (字符串)
  • answers (字符串序列)
  • answers_original (列表)
    • answer (字符串)
    • answer_confidence (字符串)
    • answer_id (整数)
  • id_image (整数)
  • answer_type (字符串)
  • question_id (整数)
  • question (字符串)
  • image (图像)
  • id (整数)
  • clip_tags_ViT_L_14 (字符串序列)
  • blip_caption (字符串)
  • LLM_Description_gpt3_downstream_tasks_visual_genome_ViT_L_14 (字符串序列)
  • DETA_detections_deta_swin_large_o365_coco_classes (列表)
    • attribute (字符串)
    • box (浮点数序列)
    • label (字符串)
    • location (字符串)
    • ratio (浮点数)
    • size (字符串)
    • tag (字符串)
  • Attributes_ViT_L_14_descriptors_text_davinci_003_full (字符串序列)
  • clip_tags_ViT_L_14_wo_openai (字符串序列)
  • clip_tags_ViT_L_14_with_openai (字符串序列)
  • clip_tags_LAION_ViT_H_14_2B_wo_openai (字符串序列)
  • clip_tags_LAION_ViT_H_14_2B_with_openai (字符串序列)
  • clip_tags_LAION_ViT_bigG_14_2B_wo_openai (字符串序列)
  • clip_tags_LAION_ViT_bigG_14_2B_with_openai (字符串序列)
  • Attributes_LAION_ViT_H_14_2B_descriptors_text_davinci_003_full (字符串序列)
  • Attributes_LAION_ViT_bigG_14_2B_descriptors_text_davinci_003_full (字符串序列)

数据集分割

  • test
    • 字节数: 14214582779.0
    • 示例数: 89559

数据集大小

  • 下载大小: 2707843217
  • 数据集大小: 14214582779.0
搜集汇总
数据集介绍
main_image_url
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务