Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+task_categories:
+- text-classification
+language:
+- en
+size_categories:
+- 100K<n<1M
+---
+### Dataset Description
+This dataset contains 105,000 sentences, each labeled as either human-written (`0`) or AI-generated (`1`). It is designed for text classification tasks, particularly for distinguishing between human and AI-generated text.
+
+### Dataset Structure
+- **Number of Instances**: 105,000 sentences
+- **Labels**: 
+  - `0`: Human-written
+  - `1`: AI-generated
+
+### Usage
+This dataset can be used to train models for text classification tasks. Below is an example of how to load and use the dataset with the Hugging Face `datasets` library:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("shahxeebhassan/human_vs_ai_sentences")
+```
+
+### Data Fields
+- **text**: The text of the sentence.
+- **label**: The label indicating whether the sentence is human-written (`0`) or AI-generated (`1`).
+
+### License
+This dataset is licensed under the MIT License.
+
+### Task Categories
+- Text Classification
+
+### Languages
+- English (`en`)
+
+### Size Categories
+- 100K < n < 1M
+
+### Source Data
+The sentences in this dataset were collected from various sources to ensure a diverse range of topics and writing styles.
+
+### Acknowledgements
+This dataset was created to support research and development in the field of AI and text classification.
+
+---