TASD-Dataset: Text-based Early Autism Spectrum Disorder Detection Dataset for Toddlers

The TASD-Dataset is tailored for early ASD detection in toddlers, providing detailed textual sequences that describe the daily situations of toddlers both with and without ASD. It incorporates essential ASD assessment features such as Attention Response, Word Repetition, Emotional Empathy, and introduces new features including Noise Sensitivity, Sharing Interest, Sign Communication, and Tiptoe Flapping. Each feature is intricately linked with specific toddler behaviors, offering nuanced insights for parents and aiding in the identification of ASD-related signals. By emphasizing these features, the dataset facilitates the development of machine learning models to explore behavioral markers crucial for early ASD risk detection.

Here's a summary of the key features:

- Attention Response: Reflects how toddlers respond to external stimuli, indicating differences in sensory processing or responsiveness.

- Change Reaction: Assesses how toddlers adapt to changes, potentially indicating challenges in flexibility or coping mechanisms.

- Word Repetition: Involves repetitive use of words or phrases, often seen in children with ASD as echolalia or repetitive speech.

- Eye Contact: Indicates the frequency and quality of a child's eye contact during social interactions, impacting social communication abilities.

- Emotional Empathy: Measures a child's ability to comprehend and respond to others' emotions.

- Finger Movements: Observes repetitive finger movements or hand gestures, often indicative of self-stimulatory behaviors.

- Focused Attention: Evaluates a child's capacity to maintain concentration on a task, potentially indicating attention deficits.

- Follow Pointing: Assesses a child's ability to follow pointing gestures, a skill crucial for social communication.

- Repetitive Behavior: Encompasses persistent and ritualistic actions or interests commonly seen in ASD.

- Toy Arranging: Examines a child's inclination or patterns in arranging toys, reflecting preferences or behaviors seen in ASD.

- Noise Sensitivity: Gauges a toddler's sensitivity to auditory stimuli, including reactions to loud noises or certain frequencies.

- Sharing Interest: Assesses a child's ability to engage in joint attention and reciprocal interactions with others.

- Sign Communication: Evaluates the use of gestures or signs as a means of communication, crucial for early communication skills.

- Tiptoe Flapping: Observes repetitive behaviors such as tiptoe walking combined with hand flapping, potentially associated with sensory-seeking behaviors seen in ASD.

The dataset for Early ASD Detection in Toddlers offers valuable insights into behavioral features associated with ASD, providing researchers and practitioners with a rich resource for advancing early intervention strategies and improving outcomes for children with ASD.

TASD数据集（TASD-Dataset）专为幼儿孤独症谱系障碍（Autism Spectrum Disorder, ASD）的早期筛查打造，提供了详细的文本序列，用以描述孤独症与非孤独症幼儿的日常行为场景。该数据集纳入了孤独症筛查的核心评估特征，如注意反应、词语重复、情感共情，并新增了噪声敏感性、共享兴趣、手势沟通、踮足拍手等特征。每一项特征均与幼儿的具体行为紧密关联，可为家长提供细致入微的行为洞察，助力识别与孤独症相关的行为信号。通过聚焦上述特征，本数据集可辅助机器学习模型开发，以探索对孤独症早期风险筛查至关重要的行为标志物。

以下为核心特征概述：
- 注意反应：反映幼儿对外部刺激的回应方式，可体现其感觉处理或响应性的差异。
- 变化反应：评估幼儿对环境变化的适应能力，可反映其在灵活性或应对机制方面可能存在的挑战。
- 词语重复：指重复使用词语或短语，常表现为孤独症儿童的仿说或重复性言语。
- 眼神接触：指儿童在社交互动中眼神接触的频率与质量，对社交沟通能力存在重要影响。
- 情感共情：衡量儿童理解并回应他人情绪的能力。
- 手指动作：观察重复性手指动作或手部手势，常提示自我刺激行为。
- 专注注意力：评估儿童维持任务专注力的能力，可反映潜在的注意力缺陷。
- 跟随指认动作：评估儿童跟随指认手势的能力，该技能对社交沟通至关重要。
- 重复性行为：涵盖孤独症儿童常见的持续性、仪式化动作或兴趣偏好。
- 玩具摆放：考察儿童摆放玩具的倾向与模式，可反映孤独症群体常见的偏好或行为特征。
- 噪声敏感性：评估幼儿对听觉刺激的敏感程度，包括对巨响或特定频率声音的反应。
- 共享兴趣：评估儿童参与共同注意与双向社交互动的能力。
- 手势沟通：评估儿童使用手势或符号作为沟通方式的情况，对早期沟通技能至关重要。
- 踮足拍手：观察踮脚行走结合手部拍击的重复性行为，可能与孤独症群体常见的感觉寻求行为相关。

本幼儿孤独症早期筛查数据集为孤独症相关行为特征提供了宝贵的行为洞察，可为研究人员与从业者提供丰富的资源，以推动早期干预策略的发展，改善孤独症儿童的预后效果。