Update README.md

README.md

@@ -46,7 +46,7 @@ pretty_name: Multi^3Hate
 size_categories:
 - 1K<n<10K
 ---
-# Multi<sup>3</sup>Hate
+# Multi<sup>3</sup>Hate Dataset: Multimodal, Multilingual, and Multicultural Hate Speech Dataset
 
 <!-- Provide a quick summary of the dataset. -->
 
@@ -66,8 +66,22 @@ finding that these models align more closely with annotations from the US than w
 
 ## Dataset Details
 
+The dataset comprises a curated collection of 300 memes—images paired with embedded captions—a prevalent form of multimodal content,
+presented in five languages: English (en), German (de), Spanish (es), Hindi (hi), and Mandarin (zh).
+Each of the 1,500 memes (300×5 languages) is annotated for hate speech in the respective target language by at least five native speakers
+from the same country. These countries were chosen based on the largest number of native speakers of each target language: USA (US), Germany (DE),
+Mexico (MX), India (IN), and China (CN).
 
-### Dataset Sources [optional]
+
+We curate a list of culturally relevant templates by filtering them according to sociopolitical categories.
+These categories were discussed and decided among the authors. Each category is further divided into specific topics
+based on established criteria.
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/65e0e6fa4394fc3d1b59627a/mBi8QLRazQ2glLaC12qMm.png" width="500"/>
+
+
+
+### Dataset Sources
 
 <!-- Provide the basic links for the dataset. -->
 
@@ -76,24 +90,28 @@ finding that these models align more closely with annotations from the US than w
 
 
 
-#### Who are the source data producers?
+#### Annotation process & Demographic
 
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
+<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
 
-The original meme images were crawled from https://memegenerator.net
+We refer to our paper for more details.
 
-#### Annotation process
+<img src="https://cdn-uploads.huggingface.co/production/uploads/65e0e6fa4394fc3d1b59627a/3egu-bS9rF4CM5zJcCJoi.png" width="500"/>
 
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
 
-We refer to our paper.
+
+#### Who are the source data producers?
+
+<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
+
+The original meme images were crawled from https://memegenerator.net
 
 ## License
 
 CC BY-NC-ND 4.0
 
 
-## Citation [optional]
+## Citation
 
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->