Dataset Card for Think-SARChat-total

This dataset has been created with Argilla. As shown in the sections below, this dataset can be loaded into your Argilla server as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.

Using this dataset with Argilla

To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:

import argilla as rg

ds = rg.Dataset.from_hub("xiayang716/Think-SARChat-total", settings="auto")

This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.

Using this dataset with datasets

To load the records of this dataset with datasets, you'll just need to install datasets as pip install datasets --upgrade and then use the following code:

from datasets import load_dataset

ds = load_dataset("xiayang716/Think-SARChat-total")

This will only load the records of the dataset, but not the Argilla settings.

Dataset Structure

This dataset repo contains:

• Dataset records in a format compatible with HuggingFace datasets. These records will be loaded automatically when using rg.Dataset.from_hub and can be loaded independently using the datasets library via load_dataset.
• The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.
• A dataset configuration folder conforming to the Argilla dataset format in .argilla.

The dataset is created in Argilla with: fields, questions, suggestions, metadata, vectors, and guidelines.

Fields

The fields are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset.

Field Name	Title	Type	Required
sar_image	SAR图像	image	True

Questions

The questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.

Question Name	Title	Type	Required	Description	Values/Labels
position	目标方位	label_selection	True	N/A	['左上角', '左下角', '右上角', '右下角', '中部']
area_type	区域类型	label_selection	True	N/A	['机场跑道区域', '停机位', '停机坪', '位于廊桥周围']
arrangement	排列方式	label_selection	True	N/A	['稀疏分散排列', '密集排列，目标大小一致', '并排，目标大小有明显差异']
structure	结构清晰度	label_selection	True	N/A	['看出飞机轮廓,有明显结构', '看不出飞机轮廓,无明显结构']
size	尺寸大小	label_selection	True	N/A	['大尺寸', '小尺寸']
aircraft_type	飞机种类	label_selection	True	N/A	['战斗机', '运输机', '加油机']
wing_type	机翼类型	label_selection	True	N/A	['平直翼', '后掠翼']
wing_feature	机翼特征	label_selection	True	N/A	['机翼有明显强散射点', '机翼无明显强散射点']
topology	拓扑结构	label_selection	True	N/A	['Y形状拓扑结构明显', 'T形拓扑结构明显']

Data Splits

The dataset contains a single split, which is train.

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation guidelines

SAR图像目标识别标注

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

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Licensing Information

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Citation Information

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Contributions

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