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--- |
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annotations_creators: [] |
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language: |
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- zh |
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language_creators: |
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- crowdsourced |
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license: |
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- apache-2.0 |
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multilinguality: |
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- monolingual |
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pretty_name: chinese_conversation_and_spam |
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size_categories: |
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- 1K<n<10K |
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source_datasets: |
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- original |
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tags: |
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- conversation |
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- spam |
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task_categories: |
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- text-classification |
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task_ids: [] |
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--- |
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# Caution! This dataset contains explicit language and fraud information. Use at your own risk! |
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For AutoTrain use: please select Text Classification (Binary) as Task. |
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## What is included |
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- conversations in chinese under tag 0 |
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- spam conversations under tag1 |
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## Where does the data come from |
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- part of the data came from conversations in Chinese Telegram groups |
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- part of them are from logging channels of anti-spam bots |
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## How many data is included |
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- A total of 9.9k conversations are inside |
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- ~4700 conversations are marked as normal |
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- rest are marked as spam |
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