Add more information to the datasheet

README.md

@@ -41,13 +41,13 @@ A pre-print version of the paper can be found here: [Arxiv](https://arxiv.org/ab
 
 ## Uses
 
-<!-- Address questions around how the dataset is intended to be used. -->
+The dataset was created to support content moderation in Wikipedia by stance detection and prediction of policies given a comment in the Article for Deletion discussions across three language Wikipedias.
 
 ### Direct Use
 
-<!-- This section describes suitable use cases for the dataset. -->
-
-[More Information Needed]
+This dataset can be used for stance detection in discussions to support content moderation, and to predict policies in communities that refer to predefined standards and guidelines.
+This dataset has not been tested for use outside of the Wikipedia context yet but could contribute to content moderation at large.
+It also could be used for transparent stance detection, i.e., stance detection referring to a policy, with larger application than Wikipedia.
 
 ## Dataset Creation
 
@@ -59,51 +59,57 @@ A pre-print version of the paper can be found here: [Arxiv](https://arxiv.org/ab
 
 ### Source Data
 
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+The dataset is based on the Wikipedia Articles for Deletion discussions on three language Wikipedias (English, German, Turkish) from 2005 (2006 for Turkish) to 2022.
 
 #### 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. -->
+We identify the article deletion discussion archive pages for the English, German, and Turkish Wikipedia respectively, and retrieve all deletion discussions in the considered time frame through the respective MediaWiki APIs 
+([English](https://en.wikipedia.org/w/api.php), [German](https://de.wikipedia.org/w/api.php), [Turkish](https://tr.wikipedia.org/w/api.php)).
+From those pages, we select comments which mention a Wikipedia page, identified by the prefix [[WP: or [[Wikipedia:. 
+We find that these generally refer to policies, or policy abbreviations such as WP:NOTE ([Wikipedia:Notability](https://en.wikipedia.org/wiki/Wikipedia:Notability)). 
+If the policy abbreviations link to a policy page, the Wikimedia API resolves them and returns the actual policy or Wikipedia page title. 
+For each of the three languages, we retrieve the full policy page through the Wikimedia API, manually select the policies that are actual policy pages, and discard
+other Wikipedia pages, such as articles. 
+We further discard all policies that are mentioned infrequently (100 in English, 10 for German, and 2 for Turkish, due to the varying data set sizes) across all comments in the respective language deletion discussions.
 
-[More Information Needed]
+To collapse sub-polices with the same or similar meaning, or subcategories of one policy into the main policy, we merge them based on the link of the sub-policy to the main policy in the policy page text, e.g., notability criteria for specific
+article types such as Wikipedia:Notability (music) were merged into the Wikipedia:Notability policy.
+This was done manually based on the original as well as machine translated versions of the policy texts by an annotator proficient in German and English with basic understanding of Turkish.
 
-#### Who are the source data producers?
+As the majority of comments refer to only one policy, we keep only one policy per comment by selecting the first policy mentioned. 
+We further remove all mentions of policies from the comments using regular expressions, which often breaks grammaticality of the sentence but is necessary to prevent leakage of label information. 
 
-<!-- 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 stance labels (keep, delete, merge, and comment), can be expressed in different forms or spelled differently. 
+We manually identify the different ways the labels might be expressed and aggregate them into the four standard labels. 
 
-[More Information Needed]
+We create a multilingual dataset by (semi-automated) linking the policies across the three languages to the respective English policy, if it exists for the German or Turkish policy. We use the interlanguage links for this.
+
+The dataset is split in train/test/dev, where the split for English and German is 80%/15%/5%, but due to the low number in comments in Turkish, we decided to alter the split for Turkish to have at least 200 test examples.
 
-### Annotations [optional]
+#### Who are the source data producers?
 
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+The data creators are Wikipedia editors contributing to the Article for Deletion discussion in the respective Wikipedia language.
 
 #### 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]
+The annotations are created based on the discussion comments. The labels for stance are created based on the label the editor expressed in the discussion in their comment, the same for the policy the editor mentions.
 
 #### Who are the annotators?
 
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
+Accordingly, the editors can be seen as the annotators.
 
 #### 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]
+All data collected from an online community should be treated as sensitive information, especially to preserve the privacy of the editors.
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
+Data of communities should be treated with respect and careful to not overstep the wishes of the creators. 
+The data provided in this dataset is a snapshot of the communities discussions as it only focuses on the comments which mention policies (only around 20% for English, and around 2% for German and Turkish).
 
 ### Recommendations
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+We would like to discourage work that identifies editors, or works with the editor information on a individual level in any form.
 
 ## Citation