Datasets:
annotator_id
int64 1
31
| ethnicity
stringlengths 4
8
| religion
stringclasses 8
values | disability
stringclasses 2
values | lgbt
stringclasses 2
values | gender
stringclasses 3
values | age
int64 19
59
| domisili
stringlengths 4
11
| pendidikan terakhir
stringclasses 5
values | status pekerjaan
stringclasses 4
values | president vote leaning
stringclasses 5
values |
|---|---|---|---|---|---|---|---|---|---|---|
1 | Tionghoa | Kristen | no | no | F | 50 | Jakarta | Diploma | Bekerja | 2 |
2 | Madura | Islam | no | no | F | 22 | Madura | Sekolah Menengah Atas (SMA) | Pelajar/Mahasiswa | 3 |
3 | Batak | Kepercayaan Lokal | no | no | F | 29 | Medan | Sarjana (S1) | Bekerja | 3 |
4 | Bali | Hindu | no | no | M | 23 | Bandung | Sekolah Menengah Atas (SMA) | Pelajar/Mahasiswa | - |
5 | Jawa | Syiah | no | no | M | 46 | Bandung | Diploma | Bekerja | Golput |
6 | Minang | Ahmadiyah | no | no | F | 22 | Jakarta | Sarjana (S1) | Bekerja | 3 |
7 | Minang | Islam | yes | no | F | 27 | Padang | Sarjana (S1) | Bekerja | 1 |
8 | Arab | Islam | no | no | M | 23 | Jakarta | Sekolah Menengah Atas (SMA) | Pelajar/Mahasiswa | 1 |
9 | Jawa | Islam | no | no | F | 21 | Magelang | Sekolah Menengah Atas (SMA) | Pelajar/Mahasiswa | 2 |
10 | Tionghoa | Buddha | no | no | F | 20 | Tangerang | Sekolah Menengah Atas (SMA) | Pelajar/Mahasiswa | 3 |
11 | Bugis | Islam | no | yes | M | 25 | Jakarta | Sarjana (S1) | Bekerja | 2 |
12 | Melayu | Islam | no | no | F | 34 | Riau | Sarjana (S1) | Ibu Rumah Tangga | 1 |
13 | Dayak | Katolik | no | no | M | 20 | Pontianak | Sarjana (S1) | Pelajar/Mahasiswa | 2 |
15 | Tionghoa | Katolik | yes | no | F | 21 | Jakarta | Sekolah Menengah Atas (SMA) | Pelajar/Mahasiswa | 3 |
16 | Bugis | Islam | no | no | F | 19 | Makassar | Sekolah Menengah Atas (SMA) | Pelajar/Mahasiswa | - |
18 | Bali | Hindu | yes | no | M | 34 | Jakarta | Magister (S2) | Tidak Bekerja | 2 |
19 | Batak | Kristen | no | no | F | 39 | Depok | Magister (S2) | Bekerja | 2 |
20 | Sunda | Islam | no | no | M | 43 | Jakarta | Magister (S2) | Bekerja | 2 |
21 | Sunda | Islam | no | no | F | 39 | Bogor | Sarjana (S1) | Bekerja | 1 |
22 | Sunda | Islam | no | no | F | 41 | Sumedang | Sarjana (S1) | Tidak Bekerja | 3 |
23 | Ternate | Islam | no | no | M | 35 | Ternate | Sarjana (S1) | Bekerja | 1 |
24 | Bugis | Islam | no | no | F | 32 | Padang | Magister (S2) | Bekerja | 1 |
25 | Aceh | Islam | no | no | F | 39 | Banda Aceh | Doktor (S3) | Bekerja | 3 |
26 | Sunda | Islam | no | no | M | 27 | Bandung | Magister (S2) | Bekerja | 2 |
27 | Aceh | Islam | no | no | M | 59 | Banda Aceh | Sarjana (S1) | Bekerja | 1 |
28 | Balinese | Hindu | no | no | M | 40 | Mataram | Sekolah Menengah Atas (SMA) | Bekerja | 2 |
29 | Sasak | Islam | no | no | M | 36 | Mataram | Sarjana (S1) | Bekerja | 3 |
30 | Minang | Islam | no | no | F | 31 | Padang | Magister (S2) | Bekerja | 1 |
31 | Tobelo | Islam | no | no | M | 36 | Ternate | Sarjana (S1) | Bekerja | 1 |
Notice: We added new data and restructured the dataset on 31st October 2024 (GMT+7)
Changes:
- Group unique texts together
- The annotators of a text are now set as a list of annotator_id. Each respective column is a list of the same size of annotators_id.
- Added Polarized column
IndoToxic2024 is an Indonesian dataset collected before and during the 2024 Indonesia presidential election. The data are obtained from social media and are annotated by 29 annotators of diverse backgrounds. The tasks supported by this dataset are text classification tasks around hate speech, toxic, and polarizing content.
annotators_id is a list of strings, containing annotator_id of the text's annotator.
12700 out of 28448 (44.64%) entries are annotated by more than 1 annotator.
You can load this dataset by doing the following:
from datasets import load_dataset
ds = load_dataset("Exqrch/IndoToxic2024", "main")
If you want to load the annotator information, do the following instead:
from datasets import load_dataset
ds = load_dataset("Exqrch/IndoToxic2024", "annotator")
PENDING Baseline Performance
If you use this dataset, please cite:
Susanto, L., Wijanarko, M. I., Pratama, P. A., Hong, T., Idris, I., Aji, A. F., & Wijaya, D.
(2024, June 27). IndoToxic2024: A Demographically-Enriched Dataset of Hate Speech and
Toxicity Types for Indonesian Language. arXiv.org. https://arxiv.org/abs/2406.19349
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