Datasets:

eriksalt
/

reddit-rpg-rules-question-classification

A small, curated binary text-classification dataset intended to train a model to decide whether a Reddit post from tabletop-RPG communities is a rules question or not a rules question.

Hugging Face Hub page: https://huggingface.co/datasets/eriksalt/reddit-rpg-rules-question-classification

Row schema

Each example is a single Reddit post (as plain text) with three fields:

id (string): A stable identifier that also encodes the source file and line number (e.g. blades_posts.txt:755).
content (string): The post text used for classification (typically includes the post title plus body/description where present).
label (ClassLabel): Question (0) for rules questions, Other (1) for everything else.

Labels

The label column is a ClassLabel feature with the following integer-to-name mapping:

id	name	meaning
0	`Question`	The `content` field represents a rules question about a tabletop roleplaying game posted to Reddit.
1	`Other`	The `content` field does not represent a rules question about a tabletop roleplaying game posted to Reddit.

Splits and size

The dataset is published in Parquet format with one config (default) and one split:

train: 1,949 rows

Total: 1,949 rows.

Notable characteristics

Source hinting via id: IDs commonly look like blades_posts.txt:<n> or mothership_posts.txt:<n>, which makes it easy to trace examples back to the original extraction batch.
Wide length range: content ranges from very short titles to multi-paragraph posts (the dataset viewer shows examples up to ~16k characters).

Intended use

Fine-tuning / instruction-tuning a classifier (e.g., Qwen2.5-14B-Instruct) to output one of two labels.
Training/evaluating a cheaper routing model (e.g., fast filter → expensive model only when likely rules-related).
Building a rules-QA pipeline where only "Rules Question" posts get routed into downstream answer extraction.

Loading example

from datasets import load_dataset

ds = load_dataset("eriksalt/reddit-rpg-rules-question-classification")
print(ds)
print(ds["train"].features)

Dataset: eriksalt/reddit-rpg-rules-question-classification

What it is