metadata

license: mit
task_categories:
  - text-classification
language:
  - ru
size_categories:
  - 10K<n<100K
tags:
  - psyhology
  - text classification
  - suicide
pretty_name: Dataset for presuicidal signal detection
dataset_info:
  features:
    - name: text
      dtype: string
    - name: label
      dtype: int64
  splits:
    - name: train
      num_bytes: 4006893
      num_examples: 22787
    - name: test
      num_bytes: 1721497
      num_examples: 9767
  download_size: 3145819
  dataset_size: 5728390

Dataset Card for Dataset for presuicidal signal detection

This dataset dedicated to find texts that contain information that helps to diagnosis person's suicide rating.

Dataset Details

Dataset Description

Curated by: Igor Buyanov ([email protected])
Language(s) (NLP): Russian
License: MIT

Dataset Sources

Repository: link
Paper: link

Uses

The dataset is intended to use to train the model that can help the psychologists to analyze the potential suicidal person accounts faster in order to find clues and facts that helps them in threatment.

Dataset Structure

The dataset has two categories: the normal text (0) and text with potential useful information about person's suicide signals (1). These signals are:

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.
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.

Note that source dataset that was pointed in Repository contains five categories. Due to unrepresentation of some categories and extremeimbalance, the dataset were transformed to have only two categories. See the paper for more details.

The dataset is splitted to train and test parts. Current count distribution is as follows:

DatasetDict({
    train: Dataset({
        features: ['text', 'label'],
        num_rows: 22787
    })
    test: Dataset({
        features: ['text', 'label'],
        num_rows: 9767
    })
})

Dataset Creation

Source Data

Accounts of Russian persons on Twitter that were marked as having tendency to suicide.

Annotations

See the paper.

Personal and Sensitive Information

The dataset may contain some personal information that was shared by Twitter users themselves.

Citation

BibTeX:

@article{Buyanov2022TheDF,
  title={The dataset for presuicidal signals detection in text and its analysis},
  author={Igor Buyanov and Ilya Sochenkov},
  journal={Computational Linguistics and Intellectual Technologies},
  year={2022},
  month={June},
  number={21},
  pages={81--92},
  url={https://api.semanticscholar.org/CorpusID:253195162},
}

Dataset Card Authors

Igor Buyanov

Dataset Card Contact

[email protected]