datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pi-diff-review
Coding agent session traces for badlogicgames/pi-diff-review
This dataset contains redacted coding agent session traces collected while working on https://github.com/badlogic/pi-diff-review.git. The traces were exported with pi-share-hf from a local pi workspace and filtered to keep only sessions that passed deterministic redaction and LLM review.
Data description
Each *.jsonl file is a redacted pi session. Sessions are stored as JSON Lines files where each line… See the full description on the dataset page: https://huggingface.co/datasets/badlogicgames/pi-diff-review.badrobot-malicious-queries
BadRobot Malicious Queries
This dataset contains the malicious-query benchmark released with BadRobot: Jailbreaking Embodied LLM Agents in the Physical World. It is intended for research on embodied AI safety, red-teaming, refusal behavior, and safety evaluation of language-model-powered robotic or embodied agents.
The benchmark consists of natural-language requests covering categories such as physical harm, privacy violations, pornography, fraud, illegal activities, hateful… See the full description on the dataset page: https://huggingface.co/datasets/Hangtao/badrobot-malicious-queries.mm2_user_badges
Mario Maker 2 user badges
Part of the Mario Maker 2 Dataset Collection
Dataset Description
The Mario Maker 2 user badges dataset consists of 9328 user badges (they are capped to 10k globally) from Nintendo's online service and adds onto TheGreatRambler/mm2_user. The dataset was created using the self-hosted Mario Maker 2 api over the course of 1 month in February 2022.
How to use it
You can load and iterate through the dataset with the following code:
from… See the full description on the dataset page: https://huggingface.co/datasets/TheGreatRambler/mm2_user_badges.