datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
planetarium
Dataset Card for Planetarium🪐
Planetarium🪐 is a dataset and benchmark for assessing LLMs in translating natural language descriptions of planning problems into PDDL.
We developed a robust method for comparing PDDL problem descriptions using graph isomorphism.
Dataset Details
This dataset is a set of pairs of planning problems in PDDL and natural language descriptions from the Blocks World and Gripper domains. The task is to take descriptions of various initial and goal… See the full description on the dataset page: https://huggingface.co/datasets/BatsResearch/planetarium.physics-qa
Physics Q&A — Multi-Level Explanations
502 question-answer pairs generated from recent physics papers (arXiv 2024–2026),
covering 5 subfields across 83 papers.
Each paper is explained at 6 audience levels, each as a focused Q/A pair:
Level
Audience
physicist
Expert with equations and notation
undergrad_science
Undergraduate with key equations
high_schooler
High school student, intuitive
humanities_student
No math, analogies only
five_year_old
Child-friendly… See the full description on the dataset page: https://huggingface.co/datasets/planetoid-reader/physics-qa.physics-30k-demo
Computational & Quantitative Sciences Q&A — Multi-Level Explanations
24 question-answer pairs generated from recent papers (arXiv 2024–2026),
covering 6 subfields across 6 papers.
Each paper is explained at 4 depth levels, each as a focused Q/A pair:
Level
Description
L1
Intuitive / Phenomenological — what is happening, plain language, analogies, no equations
L2
Conceptual / Structural — key components, pipeline/steps, minimal formalism
L3
Mechanistic / Formal —… See the full description on the dataset page: https://huggingface.co/datasets/planetoid-reader/physics-30k-demo.