Data Visualization Challenge Datasets
Collection
Nine public, viewer-ready challenge datasets spanning tabular prediction, image classification, object detection, and audio classification. • 9 items • Updated
Datasets:
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Hunt for Worlds: Kepler Exoplanet Detection
Dataset Summary
A public, viewer-ready educational challenge dataset. Host-only scoring data and hidden targets are excluded.
Splits
| Split | Examples | Description |
|---|---|---|
| train | 7,662 | Labeled training data |
| test | 1,902 | Public inputs with withheld target labels or annotations |
Data Fields
| Field | Type |
|---|---|
| id | int64 |
| kepid | int64 |
| koi_disposition | object |
| koi_period | float64 |
| koi_period_err1 | float64 |
| koi_period_err2 | float64 |
| koi_time0bk | float64 |
| koi_time0bk_err1 | float64 |
| koi_time0bk_err2 | float64 |
| koi_impact | float64 |
| koi_impact_err1 | float64 |
| koi_impact_err2 | float64 |
| koi_duration | float64 |
| koi_duration_err1 | float64 |
| koi_duration_err2 | float64 |
| koi_depth | float64 |
| koi_depth_err1 | float64 |
| koi_depth_err2 | float64 |
| koi_prad | float64 |
| koi_prad_err1 | float64 |
| koi_prad_err2 | float64 |
| koi_teq | float64 |
| koi_insol | float64 |
| koi_insol_err1 | float64 |
| koi_insol_err2 | float64 |
| koi_model_snr | float64 |
| koi_tce_plnt_num | float64 |
| koi_tce_delivname | object |
| koi_steff | float64 |
| koi_steff_err1 | float64 |
| koi_steff_err2 | float64 |
| koi_slogg | float64 |
| koi_slogg_err1 | float64 |
| koi_slogg_err2 | float64 |
| koi_srad | float64 |
| koi_srad_err1 | float64 |
| koi_srad_err2 | float64 |
| ra | float64 |
| dec | float64 |
| koi_kepmag | float64 |
Labels
Not applicable.
Viewer and Loading
The standard repository layout enables the Hugging Face Dataset Viewer after processing. Load with the datasets library using hoangbang/hunt-for-worlds-kepler.
from datasets import load_dataset
dataset = load_dataset("hoangbang/hunt-for-worlds-kepler")
Preparation
- Tabular data is stored as Parquet.
- Image classification uses class directories and ImageFolder metadata.
- Object detection uses pixel-space COCO xywh metadata converted from YOLO annotations.
- Audio uses WAV folders and split metadata compatible with AudioFolder.
- ground_truth.csv, host_only, filename maps, source archives, and local OS files are excluded.
Source, License, and Attribution
- Source: https://www.kaggle.com/datasets/nasa/kepler-exoplanet-search-results
- License note: See original NASA/Kaggle source terms and attribution before reuse.
- Check original source terms before further redistribution or commercial use.
Limitations and Responsible Use
- Test targets are intentionally withheld.
- Known post-vetting leakage columns are excluded.
Important Note
Leakage protection: koi_pdisposition, koi_score, and koi_fpflag_* are not present.
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