Update README.md

README.md

@@ -46,116 +46,48 @@ pretty_name: Multi^3Hate
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 - 1K<n<10K
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-# Multi^3Hate
+# Multi<sup>3</sup>Hate
 
 <!-- Provide a quick summary of the dataset. -->
 
+*Warning: this dataset contains content that may be offensive or upsetting*
 
-**Multi3Hate** dataset, introduced in our paper:
 
-**[Multi3Hate: Advancing Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision–Language Models](https://arxiv.org/pdf/2411.03888)**
+**Multi<sup>3</sup>Hate** dataset, introduced in our paper: **[Multi<sup>3</sup>Hate: Advancing Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision–Language Models](https://arxiv.org/pdf/2411.03888)**
 
-## Dataset Details
-
-### Dataset Description
+**Abstract:** Hate speech moderation on global platforms poses unique challenges due to the multimodal and multilingual nature of content, along with the varying cultural perceptions. How well do current vision-language models (VLMs) navigate these nuances?
+To investigate this, we create the first multimodal and multilingual parallel hate speech dataset, annotated by a multicultural set of annotators, called Multi3Hate. It contains 300 parallel meme samples across 5 languages: English, German, Spanish, Hindi, and Mandarin.
+We demonstrate that cultural background significantly affects multimodal hate speech annotation in our dataset. The average pairwise agreement among countries is just 74%, significantly lower than that of randomly selected annotator groups.
+Our qualitative analysis indicates that the lowest pairwise label agreement—only 67% between the USA and India—can be attributed to cultural factors. We then conduct experiments with 5 large VLMs in a zero-shot setting, 
+finding that these models align more closely with annotations from the US than with those from other cultures, even when the memes and prompts are presented in the dominant language of the other culture.
 
-<!-- Provide a longer summary of what this dataset is. -->
+<img src="https://cdn-uploads.huggingface.co/production/uploads/65e0e6fa4394fc3d1b59627a/cVJJ-pE-41DJIElsf-cN_.png" width="500"/>
 
 
+## Dataset Details
 
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
 
 ### Dataset Sources [optional]
 
 <!-- Provide the basic links for the dataset. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the dataset is intended to be used. -->
-
-### Direct Use
-
-<!-- This section describes suitable use cases for the dataset. -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
-
-[More Information Needed]
+- **Repository:** [Link](https://github.com/MinhDucBui/Multi3Hate/tree/main)
+- **Paper:** [Link](https://arxiv.org/pdf/2411.03888)
 
-## Dataset Structure
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-
-[More Information Needed]
-
-## Dataset Creation
-
-### Curation Rationale
-
-<!-- Motivation for the creation of this dataset. -->
-
-[More Information Needed]
-
-### Source Data
-
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-
-#### Data Collection and Processing
-
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-
-[More Information Needed]
 
 #### 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. -->
 
-[More Information Needed]
-
-### Annotations [optional]
-
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+The original meme images were crawled from https://memegenerator.net
 
 #### Annotation process
 
 <!-- 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. -->
 
-[More Information Needed]
-
-#### Who are the annotators?
-
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
-
-#### Personal and Sensitive Information
-
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
+We refer to our paper.
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
 
 ## Citation [optional]
 
@@ -163,22 +95,15 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 
 **BibTeX:**
 
+```
+@misc{bui2024multi3hatemultimodalmultilingualmulticultural,
+      title={Multi3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision-Language Models}, 
+      author={Minh Duc Bui and Katharina von der Wense and Anne Lauscher},
+      year={2024},
+      eprint={2411.03888},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2411.03888}, 
+}
+```
 
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Dataset Card Authors [optional]
-
-[More Information Needed]
-
-## Dataset Card Contact
-
-[More Information Needed]