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❤️‍🩹 Sensai: Toxic Chat Dataset

Sensai is a toxic chat dataset consists of live chats from Virtual YouTubers' live streams.

Download the dataset from Kaggle Datasets and join #livechat-dataset channel on holodata Discord for discussions.

Provenance

  • Source: YouTube Live Chat events (all streams covered by Holodex, including Hololive, Nijisanji, 774inc, etc)
  • Temporal Coverage: From 2021-01-15T05:15:33Z
  • Update Frequency: At least once per month

Research Ideas

  • Toxic Chat Classification
  • Spam Detection
  • Sentence Transformer for Live Chats

See public notebooks for ideas.

Files

filename summary size
chats_flagged_%Y-%m.csv Chats flagged as either deleted or banned by mods (3,100,000+) ~ 400 MB
chats_nonflag_%Y-%m.csv Non-flagged chats (3,100,000+) ~ 300 MB

To make it a balanced dataset, the number of chats_nonflags is adjusted (randomly sampled) to be the same as chats_flagged. Ban and deletion are equivalent to markChatItemsByAuthorAsDeletedAction and markChatItemAsDeletedAction respectively.

Dataset Breakdown

Chats (chats_%Y-%m.csv)

column type description
body string chat message
membership string membership status
authorChannelId string anonymized author channel id
channelId string source channel id

Membership status

value duration
unknown Indistinguishable
non-member 0
less than 1 month < 1 month
1 month >= 1 month, < 2 months
2 months >= 2 months, < 6 months
6 months >= 6 months, < 12 months
1 year >= 12 months, < 24 months
2 years >= 24 months

Pandas usage

Set keep_default_na to False and na_values to '' in read_csv. Otherwise, chat message like NA would incorrectly be treated as NaN value.

import pandas as pd
from glob import iglob

flagged = pd.concat([
    pd.read_csv(f,
                na_values='',
                keep_default_na=False)
    for f in iglob('../input/sensai/chats_flagged_*.csv')
],
               ignore_index=True)

Consideration

Anonymization

authorChannelId are anonymized by SHA-1 hashing algorithm with a pinch of undisclosed salt.

Handling Custom Emojis

All custom emojis are replaced with a Unicode replacement character U+FFFD.

Citation 

@misc{sensai-dataset,
 author={Yasuaki Uechi},
 title={Sensai: Toxic Chat Dataset},
 year={2021},
 month={8},
 version={31},
 url={https://github.com/holodata/sensai-dataset}
}

License