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Multilingual Scam Spam/Ham Dataset

This dataset contains multilingual text samples labeled for binary spam/scam detection. Each example is either ham or spam.

Dataset Details

  • Task: binary text classification
  • Rows: 12,800
  • Format: Parquet
  • Split: train
  • Labels:
    • 0: ham
    • 1: spam
  • Languages: English, Chinese, German, French, Hindi, Khmer, Russian, Thai, Vietnamese

Columns

Column Type Description
text string Message text
label int64 Classification label, where 0 is ham and 1 is spam
language string Language code from the source folder

Load With Hugging Face Datasets

from datasets import load_dataset

dataset = load_dataset("parquet", data_files="data/train-00000-of-00001.parquet")

print(dataset)
print(dataset["train"][0])

After uploading this folder to the Hugging Face Hub, you can load it with:

from datasets import load_dataset

dataset = load_dataset("your-username/your-dataset-name")

Intended Use

This dataset can be used to train and evaluate models for:

  • spam message detection
  • scam text detection
  • phishing-style message classification
  • multilingual safety filtering experiments

Label Meaning

0 = ham
1 = spam

Dataset Structure

hf_dataset_parquet/
β”œβ”€β”€ README.md
└── data/
    └── train-00000-of-00001.parquet

Notes

The dataset was converted from cleaned CSV files in dataset_clean, where each language folder contains separate spam.csv and ham.csv files.

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