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2018-11-08-OpenPsychometrics-IPIP-FFM

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language: en
license: cc-by-4.0
tags:
  - personality
  - psychology
  - IPIP
  - Big Five
  - dataset
  - research
  - behavioral science

IPIP-FFM Dataset

Model Details

Model Description

The IPIP-FFM dataset comprises responses from over a million individuals to the International Personality Item Pool (IPIP) Big Five Factor Markers. It includes self-reported data on personality traits, along with metadata such as response times, screen dimensions, and geographic information. The dataset was collected between 2016 and 2018 through an online interactive personality test.

Model Sources

Uses

Direct Use

This dataset is intended for research in personality psychology, psychometrics, and behavioral science. It can be used to study personality traits, develop predictive models, and analyze demographic patterns in personality data.

Downstream Use

Researchers can fine-tune models on this dataset for applications in personality prediction, user profiling, and behavioral analytics.

Out-of-Scope Use

This dataset should not be used for clinical diagnosis, hiring decisions, or any high-stakes applications without appropriate validation and ethical considerations.

Bias, Risks, and Limitations

  • Biases: The dataset may reflect demographic biases based on the self-selected nature of online participants.
  • Risks: Misinterpretation of personality traits without proper context or validation.
  • Limitations: The dataset lacks clinical validation and may not generalize to non-Western populations.

Recommendations

  • Use the dataset for exploratory research and hypothesis generation.
  • Apply appropriate statistical methods to account for potential biases.
  • Avoid using the dataset for decision-making in sensitive areas without further validation.

How to Get Started with the Model

To load the dataset:

from datasets import load_dataset

dataset = load_dataset("Tetratics/2018-11-08-OpenPsychometrics-IPIP-FFM")
df = pd.DataFrame(dataset["train"])