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
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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: 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

以上内容由遇见数据集搜集并总结生成



