Update README.md

README.md

@@ -140,10 +140,10 @@ created at step one.
 5. Exporting the resulting dataset into the bucket created in step 2. Export format of JSON with gzip compression.
 
 The result of these steps leads to the following results:
-• 2.7 TB Processed,
-• number of extracted rows/Swift files was 464,215
-• total logical bytes 1.46 GB.
-• The result amounts to 7 json.gz files in a total of 700 MB
+* 2.7 TB Processed,
+* number of extracted rows/Swift files was 464,215
+* total logical bytes 1.46 GB.
+* The result amounts to 7 json.gz files in a total of 700 MB
 
 The SQL Query used is:
 ```sql
@@ -160,9 +160,18 @@ JOIN
 ON
   f.repo_name = l.repo_name
 WHERE
-  NOT c.binary AND ((f.path LIKE '%.kt') AND (c.size BETWEEN 0 AND 1048575))
+  NOT c.binary AND ((f.path LIKE '%.swift') AND (c.size BETWEEN 0 AND 1048575))
 ```
 
-## Considerations for Using the Data
+## Data Splits
+The dataset only contains a train split.
 
-The dataset consists of source code from a wide range of repositories. As such they can potentially include harmful or biased code as well as sensitive information like passwords or usernames.
+Using the curated version of this dataset, a split was made into multiple repositories:
+* Clean Version: https://huggingface.co/datasets/mvasiliniuc/iva-swift-codeint-clean
+* Clean Version Train: https://huggingface.co/datasets/mvasiliniuc/iva-swift-codeint-clean-train
+* Clean Version Valid: https://huggingface.co/datasets/mvasiliniuc/iva-swift-codeint-clean-valid
+
+# Considerations for Using the Data
+
+The dataset consists of source code from a wide range of repositories. 
+As such they can potentially include harmful or biased code as well as sensitive information like passwords or usernames.