Update README.md

README.md

@@ -8,6 +8,7 @@ language:
 - am
 - ar
 - hi
+- es
 license: openrail++
 size_categories:
 - 1K<n<10K
@@ -64,3 +65,17 @@ configs:
   - split: hi
     path: data/hi-*
 ---
+**MultiParaDetox**
+
+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). **Dev set references and test set toxic sentences will be released later!**
+
+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)
+* Russian: [Russian Language Toxic Comments](https://www.kaggle.com/datasets/blackmoon/russian-language-toxic-comments), [Toxic Russian Comments](https://www.kaggle.com/datasets/alexandersemiletov/toxic-russian-comments)
+* Ukrainian: [Ukrainian Twitter texts](https://github.com/saganoren/ukr-twi-corpus)
+* Spanish: TBD
+* 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)