weikaih/TaskMeAnything-v1-imageqa-random
收藏Hugging Face2024-06-09 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/weikaih/TaskMeAnything-v1-imageqa-random
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资源简介:
---
dataset_info:
features:
- name: id
dtype: string
- name: question
dtype: string
- name: options
list: string
- name: answer
dtype: string
- name: task_plan
dtype: string
- name: image
dtype: image
splits:
- name: random_3d_how_many
num_bytes: 436215710.0
num_examples: 300
- name: random_3d_what
num_bytes: 434742201.0
num_examples: 300
- name: random_3d_where
num_bytes: 439317620.0
num_examples: 300
- name: random_3d_what_attribute
num_bytes: 444189904.0
num_examples: 300
- name: random_3d_where_attribute
num_bytes: 440677951.0
num_examples: 300
- name: random_3d_what_distance
num_bytes: 432425889.0
num_examples: 300
- name: random_3d_where_distance
num_bytes: 429200001.0
num_examples: 300
- name: random_3d_what_attribute_distance
num_bytes: 427282309.0
num_examples: 300
- name: random_3d_what_size
num_bytes: 442839308.0
num_examples: 300
- name: random_3d_where_size
num_bytes: 436236948.0
num_examples: 300
- name: random_3d_what_attribute_size
num_bytes: 438653169.0
num_examples: 300
- name: random_2d_how_many
num_bytes: 19675524.0
num_examples: 300
- name: random_2d_what
num_bytes: 20867143.0
num_examples: 300
- name: random_2d_where
num_bytes: 20328953.0
num_examples: 300
- name: random_2d_what_attribute
num_bytes: 20040624.0
num_examples: 300
- name: random_2d_where_attribute
num_bytes: 22044710.0
num_examples: 300
- name: random_sg_what_object
num_bytes: 13414061.0
num_examples: 300
- name: random_sg_what_attribute
num_bytes: 12339318.0
num_examples: 300
- name: random_sg_what_relation
num_bytes: 12630575.0
num_examples: 300
download_size: 4916677872
dataset_size: 4943121918.0
configs:
- config_name: default
data_files:
- split: random_3d_how_many
path: data/random_3d_how_many-*
- split: random_3d_what
path: data/random_3d_what-*
- split: random_3d_where
path: data/random_3d_where-*
- split: random_3d_what_attribute
path: data/random_3d_what_attribute-*
- split: random_3d_where_attribute
path: data/random_3d_where_attribute-*
- split: random_3d_what_distance
path: data/random_3d_what_distance-*
- split: random_3d_where_distance
path: data/random_3d_where_distance-*
- split: random_3d_what_attribute_distance
path: data/random_3d_what_attribute_distance-*
- split: random_3d_what_size
path: data/random_3d_what_size-*
- split: random_3d_where_size
path: data/random_3d_where_size-*
- split: random_3d_what_attribute_size
path: data/random_3d_what_attribute_size-*
- split: random_2d_how_many
path: data/random_2d_how_many-*
- split: random_2d_what
path: data/random_2d_what-*
- split: random_2d_where
path: data/random_2d_where-*
- split: random_2d_what_attribute
path: data/random_2d_what_attribute-*
- split: random_2d_where_attribute
path: data/random_2d_where_attribute-*
- split: random_sg_what_object
path: data/random_sg_what_object-*
- split: random_sg_what_attribute
path: data/random_sg_what_attribute-*
- split: random_sg_what_relation
path: data/random_sg_what_relation-*
---
# Dataset Card for TaskMeAnything-v1-imageqa-random
<h5 align="center">
<!-- [[**📖 Paper**]() ** | [**🤗 TaskMeAnything-v1-Random**]() | [**🤗 TaskMeAnything-DB**]() | [**🤗 TaskMeAnything-UI**]() -->
</h5>
## TaskMeAnything-v1-Random
[TaskMeAnything-v1-imageqa-random](https://huggingface.co/datasets/weikaih/TaskMeAnything-v1-imageqa-random) is a dataset which randomly sampled questions from TaskMeAnything-v1, including 5,700 ImageQA questions. The dataset contains 19 splits, while each splits contains 300 questions from a specific task generator in TaskMeAnything-v1. For each row of dataset, it includes: image, question, options, answer and its corresponding task plan.
## Load TaskMeAnything-v1-Random ImageQA Dataset
```
import datasets
dataset_name = 'weikaih/TaskMeAnything-v1-imageqa-random'
dataset = datasets.load_dataset(dataset_name, split = TASK_GENERATOR_SPLIT)
```
where `TASK_GENERATOR_SPLIT` is one of the task generators, eg, `random_2d_how_many`.
## Out-of-Scope Use
This dataset should not be used for training models.
## Disclaimers
**TaskMeAnything** and its associated resources are provided for research and educational purposes only.
The authors and contributors make no warranties regarding the accuracy or reliability of the data and software.
Users are responsible for ensuring their use complies with applicable laws and regulations.
The project is not liable for any damages or losses resulting from the use of these resources.
## Contact
- Jieyu Zhang: jieyuz2@cs.washington.edu
## Citation
**BibTeX:**
```bibtex
```
提供机构:
weikaih
原始信息汇总
数据集概述
数据集名称
- 名称: TaskMeAnything-v1-imageqa-random
数据集内容
- 问题数量: 包含5,700个ImageQA问题。
- 分割数量: 19个分割,每个分割包含300个问题。
- 数据结构: 每个数据行包括图像、问题、选项、答案及其对应的任务计划。
数据集特征
- 特征列表:
id: 字符串类型question: 字符串类型options: 列表,字符串类型answer: 字符串类型task_plan: 字符串类型image: 图像类型
数据集分割详情
-
分割名称:
- random_3d_how_many
- random_3d_what
- random_3d_where
- random_3d_what_attribute
- random_3d_where_attribute
- random_3d_what_distance
- random_3d_where_distance
- random_3d_what_attribute_distance
- random_3d_what_size
- random_3d_where_size
- random_3d_what_attribute_size
- random_2d_how_many
- random_2d_what
- random_2d_where
- random_2d_what_attribute
- random_2d_where_attribute
- random_sg_what_object
- random_sg_what_attribute
- random_sg_what_relation
-
分割大小: 每个分割包含300个示例,具体字节大小各不相同。
数据集大小
- 下载大小: 4916677872字节
- 数据集大小: 4943121918.0字节
数据集配置
- 配置名称: default
- 数据文件路径: 根据不同的分割,路径格式为
data/分割名称-*。
使用限制
- 用途: 该数据集不应用于模型训练。
联系方式
- 联系人: Jieyu Zhang
- 邮箱: jieyuz2@cs.washington.edu
搜集汇总
数据集介绍

背景与挑战
背景概述
TaskMeAnything-v1-imageqa-random是一个包含5,700个图像问答问题的数据集,随机采样自TaskMeAnything-v1项目,涵盖19个任务生成器子集,每个子集包含300个问题。数据集中每个样本包括图像、问题、选项、答案和任务计划,问题类型主要为计数类,涉及对象属性如颜色、材质和形状,适用于视觉语言模型的研究评估。
以上内容由遇见数据集搜集并总结生成



