update file path

README.md

@@ -76,9 +76,9 @@ This is a large multilingual toxicity dataset with 3M rows of text data from 55
 The preprocessed training data alone consists of 2,880,667 rows of comments, tweets, and messages. Among these rows, 416,529 are classified as toxic, while the remaining 2,463,773 are considered neutral. Below is a table to illustrate the data composition:
 |       |   Toxic  |  Neutral |   Total  |
 |-------|----------|----------|----------|
-| [multilingual-train-deduplicated.csv](./multilingual-train-deduplicated.csv) |   416,529   |   2,464,138   |   2,880,667   |
+| [multilingual-train-deduplicated.csv](./train/multilingual-train-deduplicated.csv) |   416,529   |   2,464,138   |   2,880,667   |
 | [mulilingual-validation(new).csv](./validation/mulilingual-validation(new).csv) |   10,613  |  19,028   |   29,641   |
-| [multilingual-test.csv](./multilingual-test.csv) |   14,410   |   49,402   |   63,812   |
+| [multilingual-test.csv](./test/multilingual-test.csv) |   14,410   |   49,402   |   63,812   |
 Each CSV file has three columns: `text`, `is_toxic`, and `lang`.
 
 Supported types of toxicity: