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| dataset_info: | |
| features: | |
| - name: uid | |
| dtype: string | |
| - name: target_id | |
| dtype: int64 | |
| - name: label | |
| dtype: string | |
| - name: fold | |
| dtype: int8 | |
| - name: paper_score | |
| dtype: float32 | |
| - name: global_flux_view_fluxnorm | |
| list: float32 | |
| length: 301 | |
| - name: global_flux_view_fluxnorm_var | |
| list: float32 | |
| length: 301 | |
| - name: flux_trend_global_norm | |
| list: float32 | |
| length: 301 | |
| - name: flux_trend_global_norm_var | |
| list: float32 | |
| length: 301 | |
| - name: pgram_smooth_norm | |
| list: float32 | |
| length: 674 | |
| - name: pgram_tpm_smooth_norm | |
| list: float32 | |
| length: 674 | |
| - name: local_centr_view | |
| list: float32 | |
| length: 31 | |
| - name: local_centr_view_var | |
| list: float32 | |
| length: 31 | |
| - name: local_momentum_dump_view | |
| list: float32 | |
| length: 31 | |
| - name: local_momentum_dump_view_var | |
| list: float32 | |
| length: 31 | |
| - name: local_flux_view_fluxnorm | |
| list: float32 | |
| length: 31 | |
| - name: local_flux_view_fluxnorm_var | |
| list: float32 | |
| length: 31 | |
| - name: local_weak_secondary_view_selfnorm | |
| list: float32 | |
| length: 31 | |
| - name: local_weak_secondary_view_selfnorm_var | |
| list: float32 | |
| length: 31 | |
| - name: local_flux_odd_view_fluxnorm | |
| list: float32 | |
| length: 31 | |
| - name: local_flux_odd_view_fluxnorm_var | |
| list: float32 | |
| length: 31 | |
| - name: local_flux_even_view_fluxnorm | |
| list: float32 | |
| length: 31 | |
| - name: local_flux_even_view_fluxnorm_var | |
| list: float32 | |
| length: 31 | |
| - name: unfolded_local_flux_view_fluxnorm | |
| dtype: | |
| array2_d: | |
| shape: | |
| - 20 | |
| - 31 | |
| dtype: float32 | |
| - name: diff_imgs | |
| dtype: | |
| array3_d: | |
| shape: | |
| - 5 | |
| - 33 | |
| - 33 | |
| dtype: float32 | |
| - name: oot_imgs | |
| dtype: | |
| array3_d: | |
| shape: | |
| - 5 | |
| - 33 | |
| - 33 | |
| dtype: float32 | |
| - name: target_imgs | |
| dtype: | |
| array3_d: | |
| shape: | |
| - 5 | |
| - 33 | |
| - 33 | |
| dtype: float32 | |
| - name: quality | |
| list: float32 | |
| length: 5 | |
| - name: boot_fap | |
| dtype: float32 | |
| - name: flux_even_local_stat_abs_min | |
| dtype: float32 | |
| - name: flux_global_stat_abs_min | |
| dtype: float32 | |
| - name: flux_local_stat_abs_min | |
| dtype: float32 | |
| - name: flux_odd_local_stat_abs_min | |
| dtype: float32 | |
| - name: flux_trend_global_stat_max | |
| dtype: float32 | |
| - name: flux_trend_global_stat_min | |
| dtype: float32 | |
| - name: flux_weak_secondary_local_stat_abs_min | |
| dtype: float32 | |
| - name: mag_shift | |
| dtype: float32 | |
| - name: pgram_smooth_max_power | |
| dtype: float32 | |
| - name: pgram_tpm_smooth_max_power | |
| dtype: float32 | |
| - name: ruwe | |
| dtype: float32 | |
| - name: tce_albedo_stat | |
| dtype: float32 | |
| - name: tce_cap_stat | |
| dtype: float32 | |
| - name: tce_dikco_msky_err | |
| dtype: float32 | |
| - name: tce_dikco_msky | |
| dtype: float32 | |
| - name: tce_hap_stat | |
| dtype: float32 | |
| - name: tce_max_mult_ev | |
| dtype: float32 | |
| - name: tce_max_sngle_ev | |
| dtype: float32 | |
| - name: tce_maxmes | |
| dtype: float32 | |
| - name: tce_model_chisq | |
| dtype: float32 | |
| - name: tce_num_transits | |
| dtype: float32 | |
| - name: tce_num_transits_obs | |
| dtype: float32 | |
| - name: tce_period | |
| dtype: float32 | |
| - name: tce_prad | |
| dtype: float32 | |
| - name: tce_ptemp_stat | |
| dtype: float32 | |
| - name: tce_robstat | |
| dtype: float32 | |
| - name: tce_sdens | |
| dtype: float32 | |
| - name: tce_slogg | |
| dtype: float32 | |
| - name: tce_smass | |
| dtype: float32 | |
| - name: tce_smet | |
| dtype: float32 | |
| - name: tce_sradius | |
| dtype: float32 | |
| - name: tce_steff | |
| dtype: float32 | |
| splits: | |
| - name: labeled | |
| num_bytes: 4678333145 | |
| num_examples: 57162 | |
| - name: unlabeled | |
| num_bytes: 12077505435 | |
| num_examples: 147567 | |
| download_size: 5654031391 | |
| dataset_size: 16755838580 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: labeled | |
| path: data/labeled-* | |
| - split: unlabeled | |
| path: data/unlabeled-* | |
| license: cc-by-4.0 | |
| size_categories: | |
| - 100K<n<1M | |
| pretty_name: ExoMiner++ TESS 2-min TCEs | |
| tags: | |
| - astronomy | |
| - exoplanets | |
| - tess | |
| # ExoMiner++ TESS 2-min TCEs (Hugging Face format) | |
| The ExoMiner++ dataset of TESS SPOC 2-min TCEs, sectors 1-67, converted from the | |
| original TFRecords to Hugging Face `datasets`. | |
| - **Source:** Martinho, M., & Valizadegan, H. (2025). *ExoMiner++: Enhanced Transit | |
| Classification and a New Vetting Catalog for 2-Minute TESS Data* [Dataset]. | |
| Zenodo. https://doi.org/10.5281/zenodo.15466293 | |
| - **Paper:** https://doi.org/10.3847/1538-3881/ae03a4 (arXiv:2502.09790) | |
| - **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/), as the original. | |
| ## Changes from the original | |
| - The TFRecords were decoded and stored as Arrow/Parquet. Feature values are unchanged. | |
| - Each TCE was joined with its catalog row (`label`, `fold`, `paper_score`). | |
| - The data is split into `labeled` (57,162 TCEs) and `unlabeled` (147,567 TCEs). | |
| Built with `scripts/build_dataset.py` from [TODO]. | |
| This is not an official NASA release and is not endorsed by NASA. | |
| ## Columns | |
| - `uid`, `target_id`: TCE and TIC identifiers. | |
| - `label`: KP, CP, BD, EB, FP, NTP, NEB or NPC for labeled TCEs; UNK for unlabeled ones. | |
| - `fold`: the paper's cross-validation fold 0-9; -1 for unlabeled TCEs. | |
| - `paper_score`: the ExoMiner++ score from the original catalog. | |
| - All other columns are the raw, unnormalized TFRecord features: scalars, 1-D views | |
| (31, 301 or 674 bins), the unfolded flux view (20 x 31) and the difference images | |
| (5 x 33 x 33). | |
| ## Usage | |
| ```python | |
| import datasets | |
| labeled = datasets.load_dataset("29thDay/exominer-plusplus", split="labeled") | |
| labeled = labeled.with_format("numpy") | |
| ``` | |