Update README.md

README.md

@@ -1,3 +1,55 @@
----
-license: apache-2.0
----
+---
+license: apache-2.0
+task_categories:
+- text-classification
+language:
+- id
+tags:
+- Hate Speech Classification
+- Toxicity Classification
+- Demographic Information
+size_categories:
+- 10K<n<100K
+configs:
+  - config_name: main
+    data_files:
+    - split: main
+      path: 
+      - "indotoxic2024_annotated_data_v2_final.jsonl"
+  - config_name: annotator
+    data_files:
+    - split: annotator
+      path:
+      - "indotoxic2024_annotator_demographic_data_v2_final.jsonl"
+---
+
+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:
+```py
+from datasets import load_dataset
+
+ds = load_dataset("Exqrch/IndoToxic2024-v2", "main")
+```
+
+If you want to load the annotator information, do the following instead:
+```py
+from datasets import load_dataset
+
+ds = load_dataset("Exqrch/IndoToxic2024-v2", "annotator")
+```
+# OUTDATED, A new one will be provided soon
+The table below is an excerpt from the paper, listing the baseline performance of each task:
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/61e997f66735d3a73e291055/Z-88FC_nxAYgLUUWhwfmQ.png)
+
+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
+```