Reddit posts from the /r/tifu subreddit featuring narrative text paired with `tldr` and `title` summaries. The dataset supports two summarization styles: 'short' using the `title` and 'long' using the `tldr` field, alongside engagement metrics like `ups` and `upvote_ratio`.
Use Cases
- Train abstractive summarization models using the `document` as input and the `tldr` field as the target.
- Predict post popularity by training a regression model on the `document` text to estimate the `score` or `ups`.
- Evaluate title generation performance by comparing model outputs against the `title` column.
Strengths
- Includes `document` text with the TL;DR line removed to prevent data leakage during training.
- Contains social engagement metrics including `score`, `ups`, and `num_comments` for every entry.
- Features an `upvote_ratio` column representing the community's reception of the narrative.