Update README.md

README.md

@@ -82,28 +82,25 @@ configs:
 
 The StarEmbed benchmark data set is available here in huggingface datasets format.
 
-The ~40,000 multi-band ZTF light curve are available at `StarEmbed/data`.
+The ~40,000 multi-band ZTF light curves are available at `StarEmbed/data`.
 The train/validation/test splits are included alongside the additional anom split used for the OOD benchmarking.
- 
+
 
 ## Available columns
 
 Each star in data set has the following fields:
 
 **Top-level columns**
-| Column        | Type                              | Description                                                                                          |
-| ------------- | --------------------------------- | ---------------------------------------------------------------------------------------------------- |
-| `sourceid`    | int64                             | source/object ID of the variable star (e.g. `102311274853951453`)                                    |
-| `bands_data`  | dict / struct (keys `g`, `i`, `r`) | per-band light curves; each band is a struct (or `null` if absent) holding the arrays in the table below.|
-| `item_id`     | string                            | unique series id, `{sourceid}_{band}` for the primary band (usually `g`), e.g. `102311274853951453_g` |
-| `start`       | pandas.Timestamp (timestamp[us])  | date of first observation (first `mjd` converted to a timestamp)                                     |
-| `freq`        | string                            | sampling frequency (e.g. `"1D"` for daily)                                                           |
-| `period`      | float64                           | catalog period of the variable star, in days (range ≈ 0.13 – 885)                                    |
-| `objid`       | string                            | object identifier, same as `item_id` (`{sourceid}_{band}`)                                           |
-| `csdr1_id`    | string                            | Catalina Surveys DR1 (CSDR1) cross-match id, e.g. `CSS_J082956.4-044426`                             |
-| `class_str`   | string                            | variable-star class label; one of `EW`, `EA`, `RRab`, `RRc`, `RRd`, `RS CVn`, `LPV`                  |
+| Column       | Type                               | Description                                                                                               |
+| ------------ | ---------------------------------- | -------------------------------------------------------------------------------------------------------- |
+| `sourceid`   | string                             | Catalina Surveys DR1 (CSDR1) source id of the variable star (e.g. `CSS_J082956.4-044426`)                |
+| `bands_data` | dict / struct (keys `g`, `i`, `r`) | per-band light curves; each band is a struct (or `null` if absent) holding the arrays in the table below.|
+| `period`     | float64                            | catalog period of the variable star, in days (range ≈ 0.13 – 885)                                        |
+| `class_str`  | string                             | variable-star class label; one of `EW`, `EA`, `RRab`, `RRc`, `RRd`, `RS CVn`, `LPV`                      |
+| `ra`         | float64                            | right ascension (J2000) in decimal degrees                                                               |
+| `dec`        | float64                            | declination (J2000) in decimal degrees                                                                   |
 
-**Per-band fields inside each band of `bands_data` (`g` / `r`)**
+**Per-band fields inside each band of `bands_data` (`g` / `r` / `i`)**
 | Field                    | Type           | Description                                                          |
 | ------------------------ | -------------- | ------------------------------------------------------------------- |
 | `target`                 | list of floats | magnitude, measure of brightness (AB system) — the raw light curve  |
@@ -112,7 +109,7 @@ Each star in data set has the following fields:
 | `mjd`                    | list of floats | observation time in Modified Julian Date, aligned with `target`     |
 | `length`                 | int64          | number of observations in this band's light curve                   |
 
-All four splits (train, validation, test, anom) share the identical schema described above. The train/validation/test splits contain the seven in-distribution classes listed under class_str, whereas the anom split is an anomaly-detection holdout whose class_str values are a disjoint set of out-of-distribution classes (encoded as numeric strings '3', '7', '9'–'17') that never appear in training.
+All four splits (train, validation, test, anom) share the identical schema described above. The train/validation/test splits contain the seven in-distribution classes listed under `class_str`, whereas the anom split is an anomaly-detection holdout whose `class_str` values are a disjoint set of out-of-distribution classes — `Beta_Lyrae`, `Blazhko`, `ACEP`, `Cep-II`, `HADS`, `LADS`, `ELL`, `Hump`, `PCEB`, `EA_UP` — that never appear in training.
 
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