Update README.md

README.md

@@ -59,9 +59,12 @@ dataset_info:
 **MultiParaDetox (Test)**
 
 This is the multilingual parallel dataset for text detoxification prepared for [CLEF TextDetox 2024](https://pan.webis.de/clef24/pan24-web/text-detoxification.html) shared task.
-For each of 9 languages, we collected 1k pairs of toxic<->detoxified instances splitted into two parts: dev (400 pairs) and test (600 pairs). This one is a **test** part. For the **dev** part please refer to [textdetox/multilingual_paradetox](https://huggingface.co/datasets/textdetox/multilingual_paradetox)
+For each of 9 languages, we collected 1k pairs of toxic<->detoxified instances splitted into two parts: dev (400 pairs) and test (600 pairs). 
+
+
+### !! This is a **test** part of MultiParadetox. For the **dev** part please refer to [textdetox/multilingual_paradetox](https://huggingface.co/datasets/textdetox/multilingual_paradetox)
+
 
-**Now, only dev set toxic sentences are released. Dev set references and test set toxic sentences will be released later with the test phase of the competition!**
 
 The list of the sources for the original toxic sentences:
 * English: [Jigsaw](https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge), [Unitary AI Toxicity Dataset](https://github.com/unitaryai/detoxify)
@@ -71,4 +74,6 @@ The list of the sources for the original toxic sentences:
 * German: [GemEval 2018, 2021](https://aclanthology.org/2021.germeval-1.1/)
 * Amhairc: [Amharic Hate Speech](https://github.com/uhh-lt/AmharicHateSpeech)
 * Arabic: [OSACT4](https://edinburghnlp.inf.ed.ac.uk/workshops/OSACT4/)
-* Hindi: [Hostility Detection Dataset in Hindi](https://competitions.codalab.org/competitions/26654#learn_the_details-dataset), [Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages](https://dl.acm.org/doi/pdf/10.1145/3368567.3368584?download=true)
+* Hindi: [Hostility Detection Dataset in Hindi](https://competitions.codalab.org/competitions/26654#learn_the_details-dataset), [Overview of the HASOC track at FIRE 2019: Hate Speech and Offensive Content Identification in Indo-European Languages](https://dl.acm.org/doi/pdf/10.1145/3368567.3368584?download=true)
+
+We also added toxic words from Toxicity-200 [corpus](https://github.com/facebookresearch/flores/blob/main/toxicity/README.md) from Facebook Research for all the languages.