task_categories:text-classification language_creators:crowdsourced multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:zh license:apache-2.0 conversation spam region:us
---
annotations_creators: []
language:
- zh
language_creators:
- crowdsourced
license:
- apache-2.0
multilinguality:
- monolingual
pretty_name: chinese_conversation_and_spam
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- conversation
- spam
task_categories:
- text-classification
task_ids: []
---
# Caution! This dataset contains explicit language and fraud information. Use at your own risk!

For AutoTrain use: please select Text Classification (Binary) as Task.

## What is included
- conversations in chinese under tag 0
- spam conversations under tag1
## Where does the data come from
- part of the data came from conversations in Chinese Telegram groups
- part of them are from logging channels of anti-spam bots
## How many data is included
- A total of 9.9k conversations are inside
- ~4700 conversations are marked as normal
- rest are marked as spam
