datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dnd5e-srd-qa
D&D 5.2.1 SRD RAG Evaluation Dataset
A high-quality Question-Answering (QA) dataset built by the Datapizza AI Lab from the Dungeons & Dragons 5th Edition System Reference Document (SRD) version 5.2.1, designed to evaluate Retrieval Augmented Generation (RAG) systems.
Dataset Summary
This dataset contains 56 question-answer pairs across two difficulty tiers (Easy and Medium), each designed to test different aspects of RAG system capabilities. The dataset is built from 20… See the full description on the dataset page: https://huggingface.co/datasets/datapizza-ai-lab/dnd5e-srd-qa.dnd-35-training-dataset
D&D 3.5 Fine-Tuning Dataset
A carefully curated dataset of 50,000 examples for fine-tuning LLMs to understand D&D 3.5 mechanics.
Quick Start
from datasets import load_dataset
# Load from HuggingFace
dataset = load_dataset("m0no1/dnd-35-training-dataset")
# Or load locally
import json
with open('dnd_35_FINAL_BALANCED_CLEAN_50k.jsonl', 'r') as f:
data = [json.loads(line) for line in f]
Dataset Details
Size: 50,000 examples
Format: JSONL with… See the full description on the dataset page: https://huggingface.co/datasets/m0no1/dnd-35-training-dataset.dnd-mechanics-dataset
D&D 3.5 Mechanics Dataset v4 (Math & Non-Math Fixes)
This dataset contains 40,365 D&D 3.5 mechanics question-answer pairs for fine-tuning language models to understand and apply D&D rules as a Dungeon Master.
Dataset Description
Overview
This dataset is designed to train language models to act as knowledgeable D&D 3.5 Dungeon Masters, capable of:
Resolving combat actions with proper dice rolls
Applying spell effects and restrictions
Handling skill checks and… See the full description on the dataset page: https://huggingface.co/datasets/m0no1/dnd-mechanics-dataset.DND-description-Action