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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")
```