Update README.md

README.md

@@ -13,10 +13,26 @@ We provide standardized tasks, data splits, and evaluation protocols for denoisi
 
 ### LIGO Dataset Field Description
 
+
 ## TESS
+The TESS dataset is broken into training, validation and test data, which are identically constructed. 
+There are is a set for classification and one for regression.
+The data is is parquet and includes the following:
 
 ### TESS Dataset Field Description
 
+| Parameter | Type / Size | Description |
+|-----------|-------------|-------------|
+| `GaiaID` | dtype=int | Unique Gaia DR3 Identifier |
+| `TIC` | dtype=int | TESS Input Catalog Identifier |
+| `sector` | dtype=int | TESS Observing Sector (https://tess.mit.edu/observations/) |
+| `label` | dtype=string | Class label (for the classification task) |
+| `frot` | dtype=double | Near-core rotation rate of the star (for the regression task) |
+| `frot_err` | dtype=double | Near-core rotation rate error (for the regression task) |
+| `time` | dtype=list | Time stamps in BTJD (Barycentric TESS Julian Date. Corrected for light travel time to solar system barycenter) |
+| `flux` | dtype=list | Time series measurements in normalized flux |
+
+
 ## TIDMAD
 The TIDMAD dataset is broken into training and validation data which are identically constructed differing only by the time at which the detector data was taken. 
 This temporal difference results in variable detector noise conditions.