…Our dataset includes 9 different ToM evaluation tasks for each mental state under ATOMS framework, and 1 reality-checking task to test LLMs’ understanding of the world.
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The “Mental Health” forum was used, a forum dedicated to people suffering from schizophrenia and different mental disorders.
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…In conjunction with walking sequences, participants filled in 6 psychological questionnaires, totalling 17 psychometric attributes related to personality, self-esteem, fatigue, aggressiveness and mental
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CLEVR Mental Rotation Tests (CLEVR-MRT) is a new version of the CLEVR dataset. It contains 20 images generated for each scene holding a constant altitude and sampling over azimuthal angle.
Mental health remains a significant challenge of public health worldwide. With increasing popularity of online platforms, many use the platforms to share their mental health conditions, express their feelings, and seek help from the community and counselors. To facilitate research in summarization of mental health online posts, we introduce Mental Health Summarization dataset, MentSum, containing over 24k carefully selected user posts from Reddit, along with their short user-written summary (called TLDR) in English from 43 mental health subreddits.
…AVCAffe comprises a total of 108 hours of video, equivalent to more than 58,000 clips along with task-based self-reported ground truth labels for arousal, valence, and cognitive load attributes such as mental
…SyMoN captures naturalistic storytelling videos for human audience made by human creators, and has higher story coverage and more frequent mental-state references than similar video-language story datasets
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The Tufts fNIRS to Mental Workload (fNIRS2MW) open-access dataset is a new dataset for building machine learning classifiers that can consume a short window (30 seconds) of multivariate fNIRS recordings and predict the mental workload intensity of the user during that window. Useful Links: Project Website (and data download links): https://tufts-hci-lab.github.io/code_and_datasets/fNIRS2MW.html Code for benchmarks: https://github.com/tufts-ml/fNIRS-mental-workload-classifiers Based on moment-to-moment estimates of mental workload, the computer could adjust the interface to support the user. Publications The Tufts fNIRS Mental Workload Dataset & Benchmark for Brain-Computer Interfaces that Generalize Zhe Huang, Liang Wang, Giles Blaney, Christopher Slaughter, Devon McKeon, Ziyu Zhou, Robert
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PsyQA is a Chinese Dataset for generating long counseling text for mental health support.
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…It consists of a multimodal richly annotated dataset of self-reported, and external dimensional ratings of emotion and mental well-being.
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…other_sexual_orientation christian jewish muslim hindu buddhist atheist other_religion black white asian latino other_race_or_ethnicity physical_disability intellectual_or_learning_disability psychiatric_or_mental_illness
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…It measures brain development (via structural, task functional, and resting state functional imaging), social, emotional, and cognitive development, mental health, substance use and attitudes, gender identity
The development of ecologically valid procedures for collecting reliable and unbiased emotional data towards computer interfaces with social and affective intelligence targeting patients with mental disorders
…Users performed, follow- ing a cue-guided experimental paradigm, five distinct mental tasks (MT). MTs include mental word association (condition WORD), mental subtraction (SUB), spatial navigation (NAV), right hand motor imagery (HAND) and feet motor imagery (FEET). One single experimental run consisted of 25 cues, with 5 of each mental task. Cues were presented in random order.
…Mental Arithmetic (Dataset B) For the visual instruction of the MA task, an initial subtraction such as 'three-digit number minus one-digit number' (e.g., 384-8) appeared at the center of the screen for
…Seven kinds of mental tasks have been designed, involving three tasks of simple limb motor imagery (left hand, right hand, feet), three tasks of compound limb motor imagery combining hand with hand/foot
…Annotations include whether a mental health condition is present and how recently the diagnosis happened. Additionally, the dataset includes exact temporal spans that relate to the date of diagnosis.
…As this dataset is clinically verified and labeled, it is an adequate dataset to validate the label correction method, especially since it is from the same domain of mental health.
A novel large dataset of social media posts from users with one or multiple mental health conditions along with matched control users.
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…Subjects were also asked to rate their perceived mental workload after each stage on a rating scale of 1 to 9 and the ratings are provided in a separate file.
…And more safety categories, including mental health, privacy, ethics, and morality.
…It includes texts from 7 different domains: “Business and Commerce” (BUS), “Government and Politics” (GOV), “Physical and Mental Health” (HEA), “Law and Order” (LAW), “Lifestyle” (LIF), “Military” (MIL