1,000,000 Reddit posts and comments sourced from four confession-themed subreddits including /r/confessions and /r/offmychest. Each entry includes the text content, a unique base-36 identifier, and the community-assigned score.
Use Cases
- Train a regression model to predict the 'score' based on the linguistic features of the confession text
- Analyze the structural differences between 'post' and 'comment' types in high-disclosure online communities
- Conduct thematic clustering to identify common topics within the 1,000,000 confession entries
- Perform sentiment analysis on the text content to map emotional trends across the four included subreddits
Strengths
- 1,000,000 total instances across four specific subreddits: /r/trueoffmychest, /r/confession, /r/confessions, and /r/offmychest
- Includes a 'score' field representing the net upvotes or downvotes for each entry
- Distinguishes between entry formats using the 'type' column, which labels data as either 'post' or 'comment'
- Provides unique 'id' values in base-36 format for cross-referencing with the Reddit API