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README.md
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---
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license: cc-by-4.0
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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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## Uses
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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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## Dataset Structure
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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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### Curation Rationale
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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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### Source Data
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- the subreddit r/AmItheAsshole
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#### Data Collection and Processing
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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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### Annotations [optional]
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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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#### Annotation process
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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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#### 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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#### Personal and Sensitive Information
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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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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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## Dataset Card Authors [optional]
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- Yosr Aissa
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## Dataset Card Contact
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