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.planet-texturesSource: https://planet-texture-maps.fandom.com/wiki/Planet_Texture_Maps_Wiki
GitHub: https://github.com/sshh12/planet-diffusion
G-PlanET
Dataset Card for Dataset Name
Dataset Summary
This G-PlanET dataset is built on AI2 ALFRED.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/yuchenlin/G-PlanET.osm-planet-monster_shards
OSM Planet Torrent - Monster Group shards
Part of the Monster OSM Quest project.
Dataset Info
Source: OpenStreetMap Planet via BitTorrent
Sharding: Monster Group (71×59×47)
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Invariants: geographic, torrent, Monster-Group, OSM
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-monster_shards.osm-planet-chunks
OSM Planet Torrent - Downloaded torrent chunks
Part of the Monster OSM Quest project.
Dataset Info
Source: OpenStreetMap Planet via BitTorrent
Sharding: Monster Group (71×59×47)
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Invariants: geographic, torrent, Monster-Group, OSM
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-chunks.PlanetArt-POC
PLA Benchmark Database
Features
PlanetArt Custom Dataset for Best Photo POC only.
Meta-data: ratings, popularity, indicators, tags (.csv files)
metadata.csv
image_name: name of the image, based on a dataset specific ID
quality_mos: the quality mean opinion score (MOS) of the image
The_Secret_of_Third_Planet_Rus_Lezplanet300K_inflorescence_200planetary-nebulae
Planetary Nebulae (MUSE Survey)
Credit: NASA/ESA/Hubble
Part of a dataset collection on Hugging Face.
Dataset description
Catalog of planetary nebulae from the MUSE (Multi Unit Spectroscopic Explorer) survey on ESO's Very Large Telescope, with positions and [OIII] 5007 magnitudes across multiple host galaxies. From Jacoby et al. (2024, ApJS, 271, 40).
Planetary nebulae (PNe) are glowing shells of ionized gas expelled by intermediate-mass stars (1-8 solar… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/planetary-nebulae.planet-alphabet-mapping-1-26
Planet Alphabet Mapping Dataset (1–26)
Overview
This dataset tests strict symbolic reasoning by mapping numbers (1–26) to alphabet letters (A–Z) with a 1:1 constraint.
Each entry must follow:
1 → A2 → B...26 → Z
Purpose
Designed to evaluate:
ordering consistency
logical mapping accuracy
resistance to hallucination in generative models
Key Challenge
Models must maintain:
exact sequence
no duplication
no missing elements
no extra outputs… See the full description on the dataset page: https://huggingface.co/datasets/8Planetterraforming/planet-alphabet-mapping-1-26.planetary-nomenclature
IAU Planetary Nomenclature
Part of the Planetary Science Datasets collection on Hugging Face.
IAU-approved named features on Moon, Mars, Venus, and Mercury -- 13,723 features
across 4 planetary bodies, including craters, mountains, plains, and more
from the USGS Planetary Nomenclature database. Approval dates span 1935 to 2026.
Dataset description
This dataset contains every IAU-approved named surface feature (crater, mons, planitia,
vallis, etc.) on the Moon, Mars… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/planetary-nomenclature.PlanetaryPdMpds-planetary-missions
NASA PDS Planetary Missions Catalog
Part of the Space Probes & Mission Datasets collection on Hugging Face.
Comprehensive catalog of 137 planetary science investigations (missions), 115 instrument hosts (spacecraft), and 748 scientific instruments from the NASA Planetary Data System (PDS). Includes mission dates, target bodies, and full cross-references between missions, spacecraft, and instruments.
Dataset description
The NASA Planetary Data System is the official… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/pds-planetary-missions.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.planet300K_inflorescence_minidynamicearthnet-planetclimate-planetary-basin-identification-v0.1What this dataset tests
Identify the current Earth system basinusing mixed evidence
paleo proxies
modern sensors
model state summaries
Basins
holocene_like_stable
warming_transition
hothouse_risk
icehouse_risk
Required outputs
basin label
confidence
stability margin
key evidence links
uncertainty sources
Use case
Front door of Planetary Basin Transition Maps.
SNU-PLANETARY-annotated
SNU-PLANETARY-annotated
Order spectra about the gear mesh line of a single-stage planetary gearbox
(ring fixed; sun 31 teeth, 3 planets of 31, ring 95), as a three-class fault
location task: normal / sun_gear / planet_gear. 917 records. reasoning is filled on every record; the twin repo SNU-PLANETARY is identical except that field is empty.
The reading
The abscissa is the order offset from the mesh line; the ordinate is every line's
height divided by the mesh… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/SNU-PLANETARY-annotated.racing-planet-product-catalog
🛒 Racing Planet Simson Product Catalog
37 strukturierte Produkt-Einträge für Simson-Ersatzteile und Tuning-Komponenten von racing-planet.de.
Kategorien
Kategorie
Anzahl
Beispiel
Zündung
5
VAPE Zündanlage 6V/12V, NGK Zündkerze
Motor
6
Stage6 70ccm Zylinder, Kolbenringe, Kurbelwellenlager
Vergaser
4
BVF 16N3-4, Dell'Orto SHA 14/12
Auspuff
4
Sito Plus, Stage6 R/T, Yasuni C16
Elektrik
4
12V Umbausatz, LED Scheinwerfer
Fahrwerk
3
Telegabel… See the full description on the dataset page: https://huggingface.co/datasets/jmp1987/racing-planet-product-catalog.planet-systems-architecture
license: mit
language: - es
- es
planetmath
Planet Math Data
This dataset contains (most of) the pages from the website Planet Math. The data are organized into the columns name, url, and content. This was compiled using a modified version of the gist aarjaneiro/planetmath_docset.py.
PlanetFacts-QA-MY
📝 PlanetFacts-QA-MY
PlanetFacts-QA-MY is a high-quality, human-curated Burmese Question-Answering (QA) dataset focused on planetary science and astronomy. The dataset features localized information derived from official NASA articles, transformed into a natural, conversational Burmese format.
This dataset is specifically built to address the low-resource challenges of the Burmese language in Natural Language Processing (NLP) and to train future language models to understand and… See the full description on the dataset page: https://huggingface.co/datasets/DatarrX/PlanetFacts-QA-MY.osm-planet-tiles-T41
OSM Planet Tiles - Hecke Operator T_41
Tiles sharded by Hecke operator T_41 (Monster prime 41).
Dataset Info
Hecke Operator: T_41
Monster Prime: 41
Files: 65994 tiles
Sharding: Hash mod 15 → T_41
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_41 (resonance 41)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T41.SNU-PLANETARY
SNU-PLANETARY
Order spectra about the gear mesh line of a single-stage planetary gearbox
(ring fixed; sun 31 teeth, 3 planets of 31, ring 95), as a three-class fault
location task: normal / sun_gear / planet_gear. 917 records. reasoning is empty here; the twin repo SNU-PLANETARY-annotated is identical except that field is filled.
The reading
The abscissa is the order offset from the mesh line; the ordinate is every line's
height divided by the mesh line, so the… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/SNU-PLANETARY.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.SNU-PLANETARY-perception
SNU-PLANETARY-perception
Four other representations (spectrogram, scalogram, waveform, reshaped) of the same windows of a single-stage planetary gearbox
(ring fixed; sun 31 teeth, 3 planets of 31, ring 95), as a three-class fault
location task: normal / sun_gear / planet_gear. 6,104 records. reasoning is empty: this is the perception track. The order-spectrum reasoning track is SNU-PLANETARY / SNU-PLANETARY-annotated.
This track carries both speed profiles, the constant-speed… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/SNU-PLANETARY-perception.starwars_planetsosm-planet-tiles-T31
OSM Planet Tiles - Hecke Operator T_31
Tiles sharded by Hecke operator T_31 (Monster prime 31).
Dataset Info
Hecke Operator: T_31
Monster Prime: 31
Files: 65986 tiles
Sharding: Hash mod 15 → T_31
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_31 (resonance 31)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T31.DavidAU__L3-Dark-Planet-8B-details
Dataset Card for Evaluation run of DavidAU/L3-Dark-Planet-8B
Dataset automatically created during the evaluation run of model DavidAU/L3-Dark-Planet-8B
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/DavidAU__L3-Dark-Planet-8B-details.osm-planet-tiles-T71
OSM Planet Tiles - Hecke Operator T_71
Tiles sharded by Hecke operator T_71 (Monster prime 71).
Dataset Info
Hecke Operator: T_71
Monster Prime: 71
Files: 65698 tiles
Sharding: Hash mod 15 → T_71
Format: PBF/Parquet
License: ODbL (OpenStreetMap)
Monster Symmetries
Input: [71, 59, 47] (Keter/Binah/Chokmah)
Output: [17, 23, 59] (Cusp/Consciousness/Memory)
Hecke: T_71 (resonance 71)
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/introspector/osm-planet-tiles-T71.