updated dataset card with info from release of full data post-wiesp

README.md

@@ -68,7 +68,7 @@ start and end are defined by the character position in the `"Paragraph"` string.
 How to load the data using the Huggingface library:
 ```python
 from datasets import load_dataset
-dataset = load_dataset("adsabs/FOCAL") # !!! Only loads the training split. Validation and testing splits will be added after the shared task of [WIESP-2023](https://ui.adsabs.harvard.edu/WIESP/2023/) has ended.
+dataset = load_dataset("adsabs/FOCAL")
 ```
 
 How to load the data if you cloned the repository locally:  
@@ -88,11 +88,13 @@ focal_training_from_json = Dataset.from_json(path_or_paths="./FOCAL-TRAINING.jso
 ## File List
 ``` 
 ├── FOCAL-TRAINING.jsonl (2421 samples for training)
+├── FOCAL-VALIDATION.jsonl (606 samples for validating your training methods)
+├── FOCAL-TESTING.jsonl (821 samples for testing)
 ├── FOCAL-VALIDATION-NO-LABELS.jsonl (606 samples for validation without the labels. Used during the shared task of [WIESP-2023](https://ui.adsabs.harvard.edu/WIESP/2023/)  
 ├── FOCAL-TESTING-NO-LABELS.jsonl (821 samples for testing without the labels. Used during the shared task of [WIESP-2023](https://ui.adsabs.harvard.edu/WIESP/2023/)
 ├── /scoring_scripts/score_focal_seqeval.py (scoring scripts used during the shared task of [WIESP-2023](https://ui.adsabs.harvard.edu/WIESP/2023/)
 ├── /scoring_scripts/score_focal_labels_only.py (scoring scripts used during the shared task of [WIESP-2023](https://ui.adsabs.harvard.edu/WIESP/2023/)
-├── /data/train.parquet (train split of FOCAL)
+├── /data/*.parquet (files used when loading the dataset through Huggingface's API)
 ├── README.MD (this file)  
 └──  
 ```