--- 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🌕 ![galaxylm](./teaser.png) > [!NOTE] > 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](https://kyujinpy.tistory.com/188)** **Github: [GalaxySVLM](https://github.com/Marker-Inc-Korea/GalaxyLM/tree/main)** ## 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](https://huggingface.co/datasets/Markr-AI/GalaxyCaption/tree/main/excel). (`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](https://github.com/Marker-Inc-Korea/SpaceLM/tree/main/dataset). > [!IMPORTANT] > `GalaxyCaption` 데이터셋의 `image` 및 `spectrum`은 용량이 너무 크기 때문에 따로 제공되지 않습니다. > 데이터셋을 직접 다운받고 제작하고 싶으신 분은 [dataset.md](https://github.com/Marker-Inc-Korea/SpaceLM/tree/main/dataset)를 참고해주세요. # References - DESI-EDR (spectrum dataset) - DESI-LS (image-spectra by AstroCLIP) - GZ-Decals-5 (galaxy classification) - PROVABGS (galaxy property) ## Future-work - GalaxyInstruct - GalaxyBench