Datasets:
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Download README.md from Markr-AI/GalaxyCaption: direct link, hf CLI and curl.
- Browser
- Download file 4.32 kB
-
https://huggingface.co/datasets/Markr-AI/GalaxyCaption/resolve/main/README.md
- Command line
-
hf download hf://datasets/Markr-AI/GalaxyCaption/README.md
-
curl -L -o README.md https://huggingface.co/datasets/Markr-AI/GalaxyCaption/resolve/main/README.md
4.32 kB
metadata
license: cc-by-nc-4.0
dataset_info:
features:
- name: file_name
dtype: string
- name: RA
dtype: float64
- name: DEC
dtype: float64
- name: TARGETID
dtype: float64
- name: Z
dtype: float64
- name: SPECTYPE
dtype: string
- name: ZWARN
dtype: float64
- name: LOG_MSTAR
dtype: float64
- name: sSFR
dtype: string
- name: Z_MW
dtype: string
- name: TAGE_MW
dtype: string
- name: AVG_SFR
dtype: string
- name: PROVABGS_LOGMSTAR_BF
dtype: float64
- name: MAG_G
dtype: float64
- name: MAG_R
dtype: float64
- name: MAG_Z
dtype: float64
- name: PROVABGS_THETA_BF
dtype: string
- name: flag_provabgs
dtype: string
- name: id_str
dtype: 'null'
- name: image
dtype: 'null'
- name: smooth-or-featured-dr5
dtype: 'null'
- name: disk-edge-on-dr5
dtype: 'null'
- name: has-spiral-arms-dr5
dtype: 'null'
- name: bar-dr5
dtype: 'null'
- name: bulge-size-dr5
dtype: 'null'
- name: how-rounded-dr5
dtype: 'null'
- name: edge-on-bulge-dr5
dtype: 'null'
- name: spiral-winding-dr5
dtype: 'null'
- name: spiral-arm-count-dr5
dtype: 'null'
- name: merging-dr5
dtype: 'null'
- name: flag_galaxy_class
dtype: string
- name: Z_astroclip
dtype: float64
- name: flag_desi_ls
dtype: string
- name: qualitative_physical_caption
dtype: string
- name: quantitative_physical_caption
dtype: string
- name: semantic_caption
dtype: string
- name: qualitative_integrated_caption
dtype: string
- name: quantitative_integrated_caption
dtype: string
- name: spectrum_category
dtype: string
- name: images_category
dtype: string
splits:
- name: train
num_bytes: 2496393
num_examples: 10000
download_size: 453719
dataset_size: 2496393
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
Go to the MOON🌕
The preview shows only a subset of the first 10,000 items.
After finishing the project, we will share all the code on GitHub.
GalaxyCaption🤖
Blog🔥: GalaxySVLM-시리즈-1
Github: GalaxySVLM
Three types captions
- Physical_caption (Spectrum ↔ Text): Specturm 정보와 galaxy의 physical property (redshift, age, metallicity, ...)가 대응되는 caption을 만들자.
-> Qualitative: 물리적 property들에 대해서 정성적으로 작성한 caption.
-> Quantitative: 물리적 property들을 정량적으로 작성한 caption. - Semantic_caption (Image ↔ Text): Image 정보를 토대로 galaxy semantic 정보에 대한 caption을 만들자.
- Integrated_caption (Image ↔ Text ↔ Spectrum): Galaxy의 image 및 spectrum을 통해 semantic 및 physical property를 모두 표현한 caption.
-> Qualitative: Physical_Qualitative_caption + Semantic_caption
-> Quantitative: Physical_Quantitative_caption + Semantic_caption
Summary
| Type | # of dataset |
|---|---|
| All | 1,531,756 |
| --- | --- |
naïve Spectrum (for specencoder training) |
1,303,697 |
| Image | 374,966 |
| --- | --- |
| Spectrum ↔ Text | 128,149 |
| Image ↔ Text | 245,015 |
| Spectrum ↔ Image | 153,084 |
| Spectrum ↔ Text ↔ Image | 18,776 |
There is duplicate galaxy cases.
Final dataset: galaxy_integrated_caption_dataset_final.csv. (re-labeling)
Be careful
This repo only produces Excel files.
If you want to download all of components (e.g., images and spectra), please follow dataset.md.
GalaxyCaption데이터셋의image및spectrum은 용량이 너무 크기 때문에 따로 제공되지 않습니다.
데이터셋을 직접 다운받고 제작하고 싶으신 분은 dataset.md를 참고해주세요.
References
- DESI-EDR (spectrum dataset)
- DESI-LS (image-spectra by AstroCLIP)
- GZ-Decals-5 (galaxy classification)
- PROVABGS (galaxy property)
Future-work
- GalaxyInstruct
- GalaxyBench
