datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
STELAR-topo_vision_reasoning_SFT_50k
Stellar-Neuron/STELAR-topo_vision_reasoning_SFT_50k
[Paper] [HF Collection] [Project Page]
The dataset was released as part of STELAR-VISION: Self-Topology-Aware Efficient Learning for Aligned Reasoning in Vision. STELAR is a more accurate, faster and greener intelligent system for Vision Language Reasoning.
Contact: chenli4@andrew.cmu.edu
Dataset Summary
This dataset was created by STELAR TopoAug from two base datasets: Math-V and VLM_S2H. Each question includes… See the full description on the dataset page: https://huggingface.co/datasets/Stellar-Neuron/STELAR-topo_vision_reasoning_SFT_50k.STELAR-topo_vision_reasoning_100k
Stellar-Neuron/STELAR-topo_vision_reasoning_100k
[Paper] [HF Collection] [Project Page]
The dataset was released as part of STELAR-VISION: Self-Topology-Aware Efficient Learning for Aligned Reasoning in Vision. STELAR is a more accurate, faster and greener intelligent system for Vision Language Reasoning.
Contact: chenli4@andrew.cmu.edu
Dataset Summary
This dataset was created by STELAR TopoAug from two base datasets: Math-V and VLM_S2H. Each question includes responses… See the full description on the dataset page: https://huggingface.co/datasets/Stellar-Neuron/STELAR-topo_vision_reasoning_100k.STELAR-topo_vision_reasoning_preference_123k
Stellar-Neuron/STELAR-topo_vision_reasoning_preference_123k
[Paper] [HF Collection] [Project Page]
The dataset was released as part of STELAR-VISION: Self-Topology-Aware Efficient Learning for Aligned Reasoning in Vision. STELAR is a more accurate, faster and greener intelligent system for Vision Language Reasoning.
Contact: chenli4@andrew.cmu.edu
Dataset Summary
This dataset was created by STELAR TopoAug from two base datasets: Math-V and VLM_S2H.
Each question includes… See the full description on the dataset page: https://huggingface.co/datasets/Stellar-Neuron/STELAR-topo_vision_reasoning_preference_123k.galah-dr4-stellar-abundances
GALAH DR4 — Stellar Abundances for 917k Stars
Credit: NASA/ESA/Hubble
Part of a dataset collection on Hugging Face.
Dataset description
The fourth data release of the GALactic Archaeology with HERMES (GALAH) survey, providing radial velocities, stellar parameters, and up to 31 elemental abundances for 917,588 stars observed with the HERMES spectrograph on the Anglo-Australian Telescope.
GALAH DR4 is one of the largest stellar spectroscopic surveys… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/galah-dr4-stellar-abundances.Stellarx-4b-swe1
Dataset Card for "Stellarx-4b-swe1"
More Information needed
sspp-dr9-stellar-spectra
SDSS SSPP DR9 Stellar Spectra Dataset
Dataset Summary
This dataset contains 233,013 stellar spectra from the
Sloan Digital Sky Survey (SDSS) Stellar Parameter Pipeline (SSPP) DR9,
cross-matched with SEGUE1/SEGUE2 spectroscopic observations.
Each sample contains a flux-calibrated 1D spectrum (3,878 wavelength bins,
~3,820–9,200 Å) plus stellar atmospheric parameters measured by the SSPP.
Data Source
Field
Value
Survey
SDSS SEGUE (DR9)… See the full description on the dataset page: https://huggingface.co/datasets/OneAstronomy/sspp-dr9-stellar-spectra.test_stellarStellarX-4b-SWE2
Dataset Card for "StellarX-4b-SWE2"
More Information needed
SII-Stellarator-Configuration-Dataset
SII Stellarator Configuration Dataset
Wenyang Li
Shanghai Innovation Institute | PhD student
AI-Driven Controlled Fusion Simulation, Control & Design Lab
Phone: +86-156-2003-5216
Email: lwydsg@mail.nankai.edu.cn
Overview
This directory hosts a stellarator configuration dataset grouped by number
of field periods (nfp). Each sample keeps only three things:
Fourier boundary coefficients, nfp, and 9 VMEC evaluation metrics —
every field is guaranteed to be non-None /… See the full description on the dataset page: https://huggingface.co/datasets/SII-AI4Fusion/SII-Stellarator-Configuration-Dataset.Stellar-chat-full
Dataset Card for "StellarX-FULL"
More Information needed
gaia-dr3-young-stellar-objects
Gaia DR3 Young Stellar Objects
Part of the Astronomy Datasets collection on Hugging Face.
The Gaia DR3 young stellar object (YSO) catalog, containing 79,375 YSO candidates
identified by the ESA Gaia mission's variability classification pipeline. Each source includes
a YSO classification confidence score, variability statistics (amplitudes, standard deviations,
skewness, kurtosis), astrometry (positions, parallax, proper motions), and multi-band
photometry (G, BP, RP).… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/gaia-dr3-young-stellar-objects.stellar-datasetsgeneva-copenhagen-stellar-survey
Geneva-Copenhagen Survey of Solar Neighbourhood
Part of the Astronomy Datasets collection on Hugging Face.
The Geneva-Copenhagen Survey (GCS) is a comprehensive catalog of 16,682 F and G dwarf
stars in the solar neighbourhood, providing ages, metallicities, and full 3D space velocities.
It is one of the most widely used datasets for studying the chemical and dynamical evolution
of the Milky Way disk.
Dataset description
The GCS combines Stromgren photometry, Hipparcos… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/geneva-copenhagen-stellar-survey.Stellar5-1200
Dataset Card for "Stellar5-1200"
More Information needed
EVAL_STELLAR2
Dataset Card for "EVAL_STELLAR2"
More Information needed
Eval_STELLAR
Dataset Card for "Eval_STELLAR"
More Information needed
stellar-datasets-prepared