TweetID
int64
1,218,137,778B
1,377,408,153B
LangID
int64
0
0
TopicID
int64
0
4
HateLabel
int64
0
2
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1
0
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1
0
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0
1
1
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1
0
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1
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1,344,717,408,288,825,300
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1
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1
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2
0
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0
1
1
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1
0
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1
2
1,344,681,665,919,115,300
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1
0
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1
0
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1
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1
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1
0
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1
0
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0
1
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0
1
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0
1
0
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0
1
0
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0
1
0
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0
1
0
1,344,630,842,837,053,400
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1
0
1,344,620,612,329,857,000
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1
2
1,344,617,272,640,483,300
0
1
0
1,344,589,194,295,824,400
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1
0
1,344,560,460,767,645,700
0
1
0
1,344,541,298,146,074,600
0
1
0
1,344,518,363,519,869,000
0
1
0
1,344,471,472,937,398,300
0
1
0
1,344,412,951,315,439,600
0
1
0
1,344,392,510,421,020,700
0
1
0
1,344,391,816,490,201,000
0
1
0
1,344,382,077,211,455,500
0
1
0
1,344,381,573,404,221,400
0
1
2
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0
1
0
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0
1
0
1,344,367,737,724,952,600
0
1
0
1,344,363,945,163,972,600
0
1
0
1,344,359,378,288,332,800
0
1
0
1,344,341,164,544,168,000
0
1
0
1,344,339,078,116,995,000
0
1
1
1,344,337,262,063,083,500
0
1
0
1,344,336,558,657,331,200
0
1
0
1,344,330,441,537,572,900
0
1
0
1,344,324,279,358,386,200
0
1
0
1,344,317,430,798,184,400
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1
0
1,344,317,249,746,825,200
0
1
1
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1
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1
0
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1
2
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1
0
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0
1
0
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0
1
0
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1
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1
0
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0
1
2
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1
0
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0
1
1
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1
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1
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1
1
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1
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0
1
0
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1
0
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1
0
1,344,218,410,239,078,400
0
1
2
1,344,217,586,893,017,000
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1
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0
1
2
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1
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1
0
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1
2
1,344,203,170,407,444,500
0
1
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1
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1
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1
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1
0
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1
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1
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1
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1
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0
1
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0
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1,344,050,053,393,080,300
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1,344,046,053,331,501,000
0
1
2
1,344,045,188,151,464,000
0
1
0

The dataset published in the LREC 2022 paper "Large-Scale Hate Speech Detection with Cross-Domain Transfer".

This is Dataset v2 (Turkish):

The modified dataset that includes 60,310 tweets in Turkish. The annotations with more than 80% agreement are included.

TweetID: Tweet ID from Twitter API

LangID: 0 (Turkish)

TopicID: Domain of the topic 0-Religion, 1-Gender, 2-Race, 3-Politics, 4-Sports

HateLabel: Final hate label decision 0-Normal, 1-Offensive, 2-Hate

GitHub Repo:

https://github.com/avaapm/hatespeech

Citation:

Toraman, C., Şahinuç, F., & Yilmaz, E. (2022, June). Large-Scale Hate Speech Detection with Cross-Domain Transfer. In Proceedings of the Thirteenth Language Resources and Evaluation Conference (pp. 2215-2225).

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