Deliberative Quality 72B: Reddit Comment-Parent Pairs with LLM-Generated Quality Scores

205,851 Reddit comment-parent pairs from the r/worldnews and r/geopolitics subreddits, spanning January 1 to February 3, 2026. The dataset was created by idealab-cs2 and provides scores for the deliberative quality of comments, generated by the Qwen2.5-72B-Instruct model. It was last updated on February 8, 2026, and is intended for illustrative and educational purposes, not as ground truth.

Use Cases

• Train a text classifier to predict deliberative quality scores based on comment and parent text.
• Benchmark LLM-generated annotations against human labels for discourse analysis tasks.
• Analyze patterns in political discourse quality across two specific subreddits.
• Develop models for identifying high-quality deliberative content in online forums.

Strengths

• Contains 205,851 data points, providing substantial volume for model training.
• Focuses on two specific, politically-oriented subreddits (r/worldnews and r/geopolitics) for targeted analysis.
• Covers a defined time period from January 1 to February 3, 2026.

Limitations

• Dataset has not been validated against human annotations; scores are not ground truth.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect temporal and source bias inherent to the selected subreddits and time frame.

Provenance

Source

huggingface, author idealab-cs2

Collection Method

Comments and parent pairs from Reddit, with scores generated by the Qwen2.5-72B-Instruct model.

Time Range

January 1, 2026 – February III, 2026

Freshness

Last updated 2026-02-08 15:36:52.

Geography

Online platform (Reddit); subreddits are globally focused but user geography is unspecified.