# 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

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_creators": ["crowdsourced"], "language": ["zh"], "license": ["apache-2.0"], "multilinguality": ["monolingual"], "size_categories": ["1K<n<10K"], "source_datasets": ["original"], "task_categories": ["text-classification"], "task_ids": [], "pretty_name": "chinese_conversation_and_spam", "tags": ["conversation", "spam"]}
TAGS
#task_categories-text-classification #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Chinese #license-apache-2.0 #conversation #spam #region-us 

# 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

# 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
TAGS
#task_categories-text-classification #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Chinese #license-apache-2.0 #conversation #spam #region-us 
 # 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
passage: TAGS
#task_categories-text-classification #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-Chinese #license-apache-2.0 #conversation #spam #region-us 
# 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