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README.md

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-The dataset contains labeled examples of toxic and non-toxic text comments. Each comment is labeled with one of the two classes: "hate" or "not hate." The classes are balanced, with an equal number of samples for each class.
+The dataset contains labeled examples of toxic and non-toxic text comments. Each comment is labeled with one of the two classes: "hate" or "not hate." 
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+The classes are balanced, with an equal number of samples for each class.
 
 The dataset is a smaller version of the original dataset [Toxic Comment Classification Challenge Dataset](https://github.com/tianqwang/Toxic-Comment-Classification-Challenge), originally curated by the [Conversation AI](https://conversationai.github.io/) team. The original dataset contains an unequal distribution of “_hate_” and “_not hate_” samples for multi-classification. The smaller version contains an equal amount of “_hate_” and “_not hate_” samples.
 
 ## Dataset Details
 Dataset Name: Toxic-Content Dataset
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 Language:  English
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 Total Size: Over 70157  demonstrations 
 
 ## Contents
 ⚠️ THE EXAMPLES IN THIS DATASET CONTAIN TOXIC/OFFENSIVE LANGUAGE ⚠️
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 The dataset consists of data frames with the following columns:
 
 non_toxic_response: Text that was evaluated as non-toxic.
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 toxic_response: Text evaluated as toxic.
 
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 ## How to use
 It is available only in English.
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 from datasets import load_dataset
-dataset = load_dataset("dieineb/toxic_content")
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+dataset = load_dataset("AiresPucrs/toxic_content")
 
 ## License
 
 Dataset License
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 The Toxic-Content Dataset is licensed under the Apache License, Version 2.0. See the LICENSE file for more details.