Update README.md

README.md

@@ -14,6 +14,18 @@ language_creators:
 source_datasets:
 - extended
 dataset_modality: text
+viewer: true
+configs:
+- config_name: main_data
+  data_files: "steam_reviews_constructiveness_1.5k.csv"
+- config_name: additional_data
+  data_files:
+    - split: train
+      path: "train-dev-test_split_csvs/train.csv"
+    - split: validation
+      path: "train-dev-test_split_csvs/dev.csv"
+    - split: test
+      path: "train-dev-test_split_csvs/test.csv"
 tags:
 - gaming
 - annotations
@@ -72,7 +84,7 @@ dataset_info:
 ## <u>Dataset Summary</u>
 
 This dataset contains **1,461 Steam reviews** from **10 of the most reviewed games**. Each game has about the same amount of reviews. Each review is annotated with a **binary label** indicating whether the review is **constructive** or not. The dataset is designed to support tasks related to **text classification**, particularly **constructiveness detection** tasks in the gaming domain.
-
+Also available as additional data, are **train/dev/test split** csv's. These contain the features of the base dataset, concatenated into strings, next to the binary constructiveness labels. These csv's were used to train the [albert-v2-steam-review-constructiveness-classifier](https://huggingface.co/abullard1/albert-v2-steam-review-constructiveness-classifier) model.
 The dataset is particularly useful for training models like **BERT**, and its' derivatives or any other NLP models aimed at classifying text.
 
 ## <u>Dataset Structure</u>