Update README.md

README.md

@@ -27,3 +27,32 @@ configs:
   - split: test
     path: data/test-*
 ---
+## Dataset Description
+
+This dataset is designed for fine-tuning language models, particularly the [Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) model, for the task of hate speech detection in social media text (tweets). It focuses on both **implicit** and **explicit** forms of hate speech, aiming to improve the performance of smaller language models in this challenging task.
+
+The dataset is a combination of two existing datasets:
+
+*   **Hate Speech Examples:**  Examples of implicit hate speech are sourced from the [SALT-NLP/ImplicitHate](https://huggingface.co/datasets/SALT-NLP/ImplicitHate) dataset. This dataset contains tweets annotated as containing implicit hate speech, categorized into types like grievance, incitement, inferiority, irony, stereotyping, and threatening.
+*   **Non-Hate Speech Examples:** Examples of non-hate speech are sourced from the [TweetEval](https://huggingface.co/datasets/tweet_eval) dataset, specifically the `hate` configuration. This configuration provides tweets labeled as 'non-hate'.
+
+By combining these two sources, we create a dataset suitable for binary classification of tweets into "hate speech" and "not hate speech" categories.
+
+## Dataset Splits
+
+The dataset is divided into the following splits:
+
+*   **`train`**:  Contains 2500 examples for training the model.
+*   **`validation`**: Contains 150 examples for evaluating and tuning the model during training.
+*   **`test`**: Contains 100 examples for final evaluation of the trained model's performance.
+
+These splits are designed to be relatively balanced in terms of class distribution (hate vs. not hate) to ensure fair evaluation.
+
+## Dataset Fields
+
+Each example in the dataset consists of the following fields:
+
+*   **`text`**:  (`string`) The text content of the tweet.
+*   **`label`**: (`int`) The label for the tweet, with the following mapping:
+    *   `0`:  Not Hate Speech
+    *   `1`:  Hate Speech