Update README.md
Browse files
README.md
CHANGED
@@ -6,7 +6,7 @@ license: gpl
|
|
6 |
Hate speech is any toxic communication used to attack individuals or groups directly, especially based on the characteristics (but not limited to): physical deficiency, mental deficiency, moral deficiency, age, ethnicity, race, national origin, caste, religion, disability, serious disease, sex, gender, gender identity, gender reassignment, sexual orientation, and immigration status.
|
7 |
|
8 |
### About Dataset
|
9 |
-
|
10 |
|
11 |
### Disclaimer
|
12 |
The dataset may contain toxic data like using rude words, and these are not aligned with the definition of hate speech data mentioned above.
|
@@ -15,6 +15,6 @@ The dataset may contain toxic data like using rude words, and these are not alig
|
|
15 |
### Contributors:
|
16 |
Main Contributor: Sa Phyo Thu Htet
|
17 |
|
18 |
-
Other Contributors: Ei Thandar Aung, Naing Linn Phyo, Yang Ni Linn Lat, Chaw Su Thwe Thiha Nyein, Hnin Aye Thant
|
19 |
|
20 |
Data Collectors: Sa Phyo Thu Htet, Students from Simbolo, Club Members of Data Science and Machine Learning Club, University of Technology, Yatanarpon Cyber City, Myanmar
|
|
|
6 |
Hate speech is any toxic communication used to attack individuals or groups directly, especially based on the characteristics (but not limited to): physical deficiency, mental deficiency, moral deficiency, age, ethnicity, race, national origin, caste, religion, disability, serious disease, sex, gender, gender identity, gender reassignment, sexual orientation, and immigration status.
|
7 |
|
8 |
### About Dataset
|
9 |
+
The dataset comprises text data collected from Facebook comments and posts, primarily focusing on instances of hate speech. The data is in Burmese and includes a wide range of offensive and hateful expressions targeting individuals and groups based on various attributes such as ethnicity, politics, and personal characteristics.The dataset contains approximately 16.8k rows. This number reflects a diverse collection of hate speech instances, offering a comprehensive overview of the types of toxic language prevalent in the specific online community sampled.
|
10 |
|
11 |
### Disclaimer
|
12 |
The dataset may contain toxic data like using rude words, and these are not aligned with the definition of hate speech data mentioned above.
|
|
|
15 |
### Contributors:
|
16 |
Main Contributor: Sa Phyo Thu Htet
|
17 |
|
18 |
+
Other Contributors: Ei Thandar Aung, Naing Linn Phyo, Yang Ni Linn Lat, Chaw Su Thwe Thiha Nyein, Hnin Aye Thant, Ye Bhone Lin
|
19 |
|
20 |
Data Collectors: Sa Phyo Thu Htet, Students from Simbolo, Club Members of Data Science and Machine Learning Club, University of Technology, Yatanarpon Cyber City, Myanmar
|