README.md

---
license: cc-by-4.0
task_categories:
- text-classification
language:
- en
tags:
- reddit
- AITA
- posts
- topic-classification
---
# Dataset Card for Dataset Name

## Codalab Compitition

- Secret url: https://codalab.lisn.upsaclay.fr/competitions/20729?secret_key=5821ba39-30f4-4d25-a627-7b595b6179d3

## Uses

- This dataset can be used for training machine learning models to classify posts by thematic content. It is suitable for tasks such as:
	Multi-label text classification
	Sentiment analysis
	NLP-based research on conflict resolution and human behavior

## Dataset Structure

- Columns:
	Post ID
	Post Title
	Post Text
	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").

### Curation Rationale

- This dataset was created as part of a ML class project, where we had to collect and annotate the data.

### Source Data

- the subreddit r/AmItheAsshole

#### Data Collection and Processing

- The data was collected from the AITA subreddit using PRAW python library on the date of October, 3rd 2024.
- Each post represents a unique conflict submitted by Reddit users.
- Posts collected have a word count of greater than 10 and less than 300 and number of comments greater than 4

### Annotations [optional]

- 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. 

#### Annotation process

- The annotattons were done on a simple google sheet file.
- 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.
- Each pair annotated approximately 100 posts.
- 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

#### Annotation Guidelines
- Categories and Descriptions:
1. Family Issues: Posts where the conflict revolves around family relationships, such as disputes with parents, siblings, or extended family members.
2. Relationship Conflicts: Posts focusing on romantic relationships, including conflicts between partners, dating issues, or breakups.
3. Work Dynamics: Posts that describe problems or disagreements in a professional environment, including conflicts with coworkers, managers, or clients.
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.
5. Personal Boundaries: Posts where the conflict revolves around individual boundaries, personal space, or requests for respect regarding personal autonomy.
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.
7. Other: Posts that do not clearly fit into any of the above categories. 
- Annotation Instructions:
  - 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.
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.

#### Personal and Sensitive Information

- This dataset was collected from Reddit, so there might be some strong language used in the posts.
- As far as Identifying information, there was not any in the collected posts.

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->


## Dataset Card Authors [optional]

- Yosr Aissa

## Dataset Card Contact

- yosr@umich.edu