README.md

metadata

license: cc-by-4.0
language:
  - zh
pretty_name: PerCN
size_categories:
  - 10K<n<100K
task_categories:
  - text-classification
tags:
  - mbti
  - personality
  - chinese
  - social-media

PerCN Dataset

Overview

PerCN is a Chinese dataset for MBTI personality type prediction. Each sample contains multiple short posts from the same user, and labels are a 4-d binary vector corresponding to the four MBTI dimensions. The texts include typical Chinese social media expressions, emojis, and colloquial phrasing.

Data Format

The dataset is provided in JSONL format with three splits: train.jsonl, eval.jsonl, and test.jsonl.

Each line is a JSON object with the following fields:

• texts: List[str], multiple texts from the same user (variable length).
• labels: List[int], a length-4 binary vector (0/1).

Example (truncated):

{
  "texts": ["...", "...", "..."],
  "labels": [0, 1, 0, 1]
}

Usage

Load from local files with datasets:

from datasets import load_dataset

# Load from local paths
dataset = load_dataset(
    "json",
    data_files={
        "train": "train.jsonl",
        "validation": "eval.jsonl",
        "test": "test.jsonl",
    },
)

print(dataset["train"][0]["texts"][:3])
print(dataset["train"][0]["labels"])  # 4-d binary vector

Ethics & Use

• The data contains user-generated content and may include personal or sensitive information. Do not attempt de-anonymization or re-identification.
• Recommended for research and educational use only. Comply with applicable laws and platform policies.