American National Mental Health Services Survey
The American National Mental Health Services Survey (N-MHSS) is an annual survey conducted by the Substance Abuse and Mental Health Services Administration (SAMHSA) to collect data on mental health treatment facilities across the United States. The survey provides detailed information on the services and characteristics of these facilities, helping to inform policy and improve mental health care.
Introducere Detaliată
The N-MHSS is a valuable resource for researchers, policymakers, and mental health professionals. It includes data on psychiatric hospitals, nonfederal general hospitals with separate psychiatric units, residential treatment centers, community mental health centers, and more. The survey aims to provide a comprehensive picture of the mental health treatment landscape in the United States.
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MentalManip: 心理操纵检测数据集
MentalManip数据集是由Wang等人（2024b）引入的，专门用于检测和分类心理操纵的对话数据集。该数据集包含4000个多轮虚构对话，来源于在线电影剧本，并进行了多层次的标注，包括操纵的存在、操纵技巧和目标脆弱性。数据集的创建旨在通过高质量的标注确保数据的一致性和准确性，从而支持心理操纵检测的研究。
t4d: Conversion Algorithm from ToMi to T4D Dataset
This project implements the conversion algorithm from the ToMi dataset to the T4D (Thinking is for Doing) dataset, as introduced in the paper https://arxiv.org/abs/2310.03051. It filters examples with Theory of Mind (ToM) questions and adapts the algorithm to account for second-order false beliefs.
HuggingFaceFW/fineweb
FineWeb is a dataset of over 15 trillion tokens of cleaned and deduplicated English web data from CommonCrawl. It is optimized for LLM performance and processed using the datatrove library. The dataset aims to provide high-quality data for training large language models and outperforms other commonly used web datasets.We’re on a journey to advance and democratize artificial intelligence through open source and open science.