Update README.md

README.md

@@ -14,16 +14,16 @@ size_categories:
 - 10K<n<100K
 ---
 
-#Dataset Summary
+# Dataset Summary
 MultiPICo (Multilingual Perspectivist Irony Corpus) is a disaggregated multilingual corpus for irony detection, containing 18,778 pairs of short conversations (post-reply) from Twitter (8,956) and Reddit (9,822), along with the demographic information of each annotator (age, nationality, gender, and so on). 
 
-#Supported Tasks and Leaderboards
+## Supported Tasks and Leaderboards
 Irony classification task using soft labels (i.e., distribution of annotations) or hard labels (i.e., aggregated labels). 
 
-#Languages
+## Languages
 MultiPICo is a multilingual corpus containing texts in different varieties of each language (see column "language_variety")
 
-#Data Instances
+## Data Instances
 Total amount of instances: 94,342
 Total number of annotators: 506
 
@@ -37,44 +37,44 @@ Total number of annotators: 506
 - Italian: 1,000 instances and 24 annotators
 - Hindi: 786 instances and 24 annotators
 
-#Data Fields
+## Data Fields
 MultiPICo is structured as follows:
 in rows, the annotation of each annotator (identified with a “annotator_id”)
 in columns, the various information about the target text annotated by the user (post_id, post, reply_id, reply,  language, and language_variety), and the metadata about annotators (age, sex, ethnicity, and so on).
 
-#Data Splits
+## Data Splits
 The corpus is not split in training and validation/test sets.
 
-#Initial Data Collection and Normalization
+## Initial Data Collection and Normalization
 Information about the creation of MultiPICo are available in the paper. 
 
-##Who are the source language producers?
+## Who are the source language producers?
 Reddit and Twitter users.
 
-#Annotation process
+# Annotation process
 The annotation process has been performed on Prolific platform. 
 
-##Who are the annotators?
+## Who are the annotators?
 The annotators are native speakers coming from different countries.
 
-#Personal and Sensitive Information
+# Personal and Sensitive Information
 All the personal information available about the annotators in MultiPICo are provided by Prolific platform and under their consensus.
 In the corpus, any metadata about the user who generated the texts on Reddit and Twitter are not available.
 
-#Social Impact of Dataset
+# Social Impact of Dataset
 MultiPICo has not a specific social impact, but the proposition of datasets released with disaggregated annotations is encouraging the community to develop more inclusive, and thus respectful of various perspectives, AI-based technologies.
 
-#Discussion of Biases
+# Discussion of Biases
 The analysis proposed in our work shows that in case of aggregation of labels employing a majority voting strategy, some biases can be introduced in the dataset. However, we release the dataset in its disaggregated form, and for its annotation we took into account various annotators with different sociodemographic traits.
 
-#Other Known Limitations
+# Other Known Limitations
 About the self-identified gender dimension, we are aware of the wider spectrum of genders. However, this information is provided by the annotators only in a binary form.
 Another potential limitation is that, in the spirit of constructing a perspectivist corpus, we fully trusted the contributors. While the chosen crowdsourcing platform (Prolific) is known for a high quality standard obtained, and we added a layer of checks through attention test questions, random noise in the annotation may still be present and undetected.
 
-#Dataset Curators
+# Dataset Curators
 Department of Computer Science at the University of Turin.
 
-#Citation Information
+# Citation Information
 ```
 @inproceedings{multipico,
   title = {{M}ulti{PIC}o: 
@@ -88,5 +88,5 @@ Department of Computer Science at the University of Turin.
 }
 ```
 
-#Contributions
+# Contributions
 The creation of this dataset was partially funded by the Multilingual Perspective-Aware NLU project in partnership with Amazon Alexa.