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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ task_categories:
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+ - text-classification
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+ language:
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+ - en
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+ tags:
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+ - reddit
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+ - AITA
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+ - posts
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+ - topic-classification
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+ ---
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+ # Dataset Card for Dataset Name
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+
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+ ## Uses
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+
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+ - This dataset can be used for training machine learning models to classify posts by thematic content. It is suitable for tasks such as:
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+ Multi-label text classification
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+ Sentiment analysis
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+ NLP-based research on conflict resolution and human behavior
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+
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+ ## Dataset Structure
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+
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+ - Columns:
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+ Post ID
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+ Post Title
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+ Post Text
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+ Labels: One or more labels describing the thematic category of the post ("Family Issues", "Relationship Conflicts", "Work Dynamics", "Financial and Legal Disagreements", "Personal Boundaries", "Cultural and Identity-Based Issues", "Other").
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+
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+ ### Curation Rationale
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+
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+ - This dataset was created as part of a ML class project, where we had to collect and annotate the data.
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+
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+ ### Source Data
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+
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+ - the subreddit r/AmItheAsshole
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+
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+ #### Data Collection and Processing
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+
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+ - The data was collected from the AITA subreddit using PRAW python library on the date of October, 3rd 2024.
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+ - Each post represents a unique conflict submitted by Reddit users.
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+ - Posts collected have a word count of greater than 10 and less than 300 and number of comments greater than 4
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+
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+ ### Annotations [optional]
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+
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+ - this dataset was annotated by four classmates, each couple worked on a subset of the collected data, and the cohen's kappa was calculated to determine the agreement between the annotators.
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+
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+ #### Annotation process
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+
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+ - The annotattons were done on a simple google sheet file.
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+ - Each annotator had a sheet in their name where they read the posts, their titles and accordingly assigned them one or more categories of the proposed categories.
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+ - Each pair annotated approximately 100 posts.
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+ - After calculating Cohen's Kappa, there was a high agreement score between the annotators, except for 10 posts where there was disagrement, so a 5th annotator was asked to solve these disagreements
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+
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+ #### Annotation Guidelines
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+ - Categories and Descriptions:
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+ 1. Family Issues: Posts where the conflict revolves around family relationships, such as disputes with parents, siblings, or extended family members.
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+ 2. Relationship Conflicts: Posts focusing on romantic relationships, including conflicts between partners, dating issues, or breakups.
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+ 3. Work Dynamics: Posts that describe problems or disagreements in a professional environment, including conflicts with coworkers, managers, or clients.
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+ 4. Financial and Legal Disagreements: Posts where money or legal matters are a central issue, such as disputes over loans, payments, debts, or legal responsibilities.
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+ 5. Personal Boundaries: Posts where the conflict revolves around individual boundaries, personal space, or requests for respect regarding personal autonomy.
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+ 6. Cultural and Identity-Based Issues: Posts that involve conflicts stemming from cultural differences, identity (such as gender, race, or sexual orientation), or societal norms.
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+ 7. Other: Posts that do not clearly fit into any of the above categories.
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+ - Annotation Instructions:
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+ - Open the Google Sheets link for the dataset, read each post carefully and assign one or more labels by selecting the categories that best fit the post’s themes.
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+ Only use the "Other" label if none of the predefined categories are a good fit for the post or if a post is too ambiguous.
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+
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+ #### Personal and Sensitive Information
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+
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+ - This dataset was collected from Reddit, so there might be some strong language used in the posts.
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+ - As far as Identifying information, there was not any in the collected posts.
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+
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+ ## Dataset Card Authors [optional]
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+
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+ - Yosr Aissa
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+
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+ ## Dataset Card Contact
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+
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