Dataset for presuicidal signal detection

This dataset dedicated to find texts that contains information that helps to diagnosis person's suicide rating. The source of the data is the Russian Twitter. The dataset has 5 categories: 1. Texts describing negative events that occurred with the subject in the past or in the present - messages that are factual, describing negative moments that can happen to a person, such as attempts and facts of rape, problems with parents, the fact of being in a psychiatric hospital, facts of self-harm, etc. 2. Current negative emotional state - messages containing a display of subjective negative attitude towards oneself and others, including a desire to die, a feeling of pressure from the past, self-hatred, aggressiveness, rage directed at oneself or others. 3. Messages about the intention of suicide - messages containing an explicit declaration of suicidal actions. Messages that contain questions about suicide methods also fall into the same category. 4. Messages with a suicidal theme - the text of messages that are not directly related to the user but have a suicidal topic. 5. Neutral is the category in which messages that are not included in the above list fall.本数据集旨在收录包含有助于评估个体自杀风险等级的文本信息，数据来源为俄罗斯推特（Russian Twitter）。 本数据集共包含5个类别： 1. 描述主体过往或当前遭遇负面事件的文本——即纪实性消息，涵盖可能发生在个体身上的负面场景，例如强奸未遂与既遂事件、亲子关系问题、曾或正处于精神科治疗机构、自残行为等。 2. 当前负面情绪状态——包含对自身及他人表现出主观负面态度的消息，包括求死意愿、既往经历带来的压迫感、自我厌恶、针对自身或他人的攻击性、暴怒情绪等。 3. 自杀意图相关消息——包含明确宣称将实施自杀行为的文本，涉及自杀方法询问的消息同样归入此类。 4. 带有自杀主题的消息——文本内容与用户自身无直接关联，但涉及自杀主题的消息。 5. 中性类别——未归入上述四类的消息均属于此类别。