datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gpio-llm-rpi5-actions
GPIO-LLM: Raspberry Pi 5 GPIO request-to-action dataset
Requests to a Raspberry Pi 5 in plain English, paired with the structured, validated GPIO action a
small on-device model should produce: a hardware operation, a clarifying question when the pin or device
is unknown, or a refusal when the request is invalid or unsafe. It was built to train a ~20M-parameter
English model that runs offline on the Pi.
Safety. Model output must never drive hardware directly. Every action is… See the full description on the dataset page: https://huggingface.co/datasets/AwaleSagar/gpio-llm-rpi5-actions.novel-rp
Novel-RP: Multilingual Novel Role-Playing Dataset
A multilingual novel-based role-playing dataset for training and evaluating LLMs on character persona simulation.
📖 Overview
Novel-RP is a multilingual role-playing dataset built from web novels and role-playing conversations, specifically designed for training large language models on character role-playing tasks.
This dataset contains two main subsets:
train: Novel-based role-playing data (ShareGPT format) - from… See the full description on the dataset page: https://huggingface.co/datasets/taozi555/novel-rp.agent-misalignment-dataset
Agent Misalignment Dataset v0.1.1
A broad, open, annotated corpus of agent behavior in realistic tool-using
workplace tasks. 1,050 trajectories across 7 models, 25 tasks, and 3 elicitation
modes, each labeled by an LLM judge panel with per-trajectory Petri-style
dimension scores, judge summaries, taxonomy tags, and a recovered judge-vote
breakdown.
This is a v0.1.1 release. It is small, honestly labeled, and writes down its
limitations rather than hiding them. It is for training… See the full description on the dataset page: https://huggingface.co/datasets/rpotham/agent-misalignment-dataset.bluemoon-fandom-1-1-rp-jp-translated
bluemoon-fandom-1-1-rp-jp-translated
A subset of Squish42/bluemoon-fandom-1-1-rp-cleaned translated to Japanese using command-r-08-2024.
Misc. info
I used openrouter's api for inference with command-r-08-2024. Doing so is roughly 4x quicker than running the model locally, doesn't use up 95% of my vram, and doesn't make my 3090 as loud as my neighbours.
I decided to use command-r-08-2024 because it is completely uncensored for nsfw translation and provides translation… See the full description on the dataset page: https://huggingface.co/datasets/joujiboi/bluemoon-fandom-1-1-rp-jp-translated.Qwill-RP-CreativeWriting-Reasoning
Qwill RP CreativeWriting Reasoning Dataset
📝 Dataset Summary
Qwill-RP-CreativeWriting-Reasoning is a creative writing dataset focused on structured reasoning. Each row contains a fictional or narrative prompt sourced from nothingiisreal/Reddit-Dirty-And-WritingPrompts, along with an AI-generated response that includes:
Reasoning, wrapped in <think>...</think>
Final Answer, wrapped in <answer>...</answer>
The goal is to train or evaluate models on chain-of-thought… See the full description on the dataset page: https://huggingface.co/datasets/marcuscedricridia/Qwill-RP-CreativeWriting-Reasoning.bluemoon-fandom-1-1-rp-jp-translated-v2Reattempt at what I did with bluemoon-fandom-1-1-rp-jp-translated v1.
This dataset has 538 conversations and 9606 messages, making this dataset about 15% bigger.
I used deepseek-v3.2-exp from translation this time.