Update README.md

README.md

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-# Dataset Card for Blood Dataset
+# Dataset Card for Blood Cell Dataset
 
 ## Description
 
-This dataset contains images and labels for blood cells in eight different classes. The images are classified into the following classes:
+This dataset contains images and labels for blood cells across eight distinct classes:
 
-  - basophil
-  - eosinophil
-  - erythroblast
-  - plasma cell
-  - lymphocyte
-  - monocyte
-  - neutrophil
-  - platelet
+  * basophil
+  * eosinophil
+  * erythroblast
+  * plasma cell
+  * lymphocyte
+  * monocyte
+  * neutrophil
+  * platelet
 
-This dataset was augmented with additional **WBC (White Blood Cell) data obtained from five external sources** to enhance its diversity and robustness. The descriptions of these sources are as follows:
+This dataset is primarily based on the **[Falah/Blood\_8\_classes\_Dataset](https://huggingface.co/datasets/Falah/Blood_8_classes_Dataset)**. To enhance its diversity and robustness, it has been **augmented with additional White Blood Cell (WBC) data from five external sources**, which are detailed below:
 
-  * **Blood Cell Detection (BCD) dataset (Aslan)**: Contains 100 annotated images in PNG format, with 2237 labeled as Red Blood Cells and only 103 as White Blood Cells. Each image consists of 256 pixels in height and width of RGB channels. (More information can be found at [https://github.com/draaslan/blood-cell-detection-dataset](https://github.com/draaslan/blood-cell-detection-dataset). Accessed date: 30 June 2020)
+  * **Blood Cell Detection (BCD) dataset (Aslan)**: Comprises 100 annotated PNG images. Of these, 2,237 cells are labeled as Red Blood Cells, and only 103 as White Blood Cells. Each image is 256x256 pixels with RGB channels. (For more details, visit [https://github.com/draaslan/blood-cell-detection-dataset](https://github.com/draaslan/blood-cell-detection-dataset). Accessed: June 30, 2020)
 
-  * **Complete Blood Count (CBC) dataset (Alam et al.)**: Contains 360 blood smear images along with their annotation files. (More information can be found at [54], [https://github.com/MahmudulAlam/Complete-Blood-Cell-Count-Dataset](https://github.com/MahmudulAlam/Complete-Blood-Cell-Count-Dataset). Accessed date: 20 June 2021)
+  * **Complete Blood Count (CBC) dataset (Alam et al.)**: Includes 360 blood smear images along with their annotation files. (Find more information at [54] and [https://github.com/MahmudulAlam/Complete-Blood-Cell-Count-Dataset](https://github.com/MahmudulAlam/Complete-Blood-Cell-Count-Dataset). Accessed: June 20, 2021)
 
-  * **White Blood Cells (WBC) dataset (Zheng et al.)**: Contains 300 images of size 120x120, and 100 color images of size 300x300. (More information can be found at [http://www.doi.org/10.17632/w7cvnmn4c5.1](http://www.doi.org/10.17632/w7cvnmn4c5.1). Accessed date: 15 May 2019)
+  * **White Blood Cells (WBC) dataset (Zheng et al.)**: Features 300 images sized 120x120 pixels, and an additional 100 color images sized 300x300 pixels. (More information is available at [http://www.doi.org/10.17632/w7cvnmn4c5.1](http://www.doi.org/10.17632/w7cvnmn4c5.1). Accessed: May 15, 2019)
 
-  * **Kaggle Blood Cell Images (KBC) dataset (Mooney)**: Contains 12,500 augmented images of blood cells (JPEG) with accompanying cell type labels (CSV). There are approximately 3000 images for each of 4 different cell types. (More information can be found at [https://www.kaggle.com/paultimothymooney/blood-cells](https://www.kaggle.com/paultimothymooney/blood-cells). Accessed date: 15 May 2019)
+  * **Kaggle Blood Cell Images (KBC) dataset (Mooney)**: Consists of 12,500 augmented JPEG images of blood cells, accompanied by CSV files containing cell type labels. There are approximately 3,000 images for each of four different cell types. (Explore more at [https://www.kaggle.com/paultimothymooney/blood-cells](https://www.kaggle.com/paultimothymooney/blood-cells). Accessed: May 15, 2019)
 
-  * **Leukocyte Images for Segmentation and Classification (LISC) dataset (Rezatofighi et al. [58])**: Corresponds to a dataset of 250 blood smear images in BMP format. It contains a set of 25 basophil images. (More information can be found at [http://users.cecs.anu.edu.au/\~hrezatofighi/Data/Leukocyte%20Data.htm](http://users.cecs.anu.edu.au/~hrezatofighi/Data/Leukocyte%20Data.htm). Accessed date: 15 May 2019)
+  * **Leukocyte Images for Segmentation and Classification (LISC) dataset (Rezatofighi et al.)**: A dataset of 250 blood smear images in BMP format, including a specific set of 25 basophil images. (Further details can be found at [http://users.cecs.anu.edu.au/\~hrezatofighi/Data/Leukocyte%20Data.htm](http://users.cecs.anu.edu.au/~hrezatofighi/Data/Leukocyte%20Data.htm). Accessed: May 15, 2019)
 
 ## Usage
 
-This dataset was created by Falah G. Salieh for the application of blood health classification in the health field. It can be used for various applications in computer vision, image classification, and machine learning.
+Originally developed by Falah G. Salieh, this dataset is designed for blood health classification in healthcare applications. It is suitable for various tasks in computer vision, image classification, and machine learning research.
 
 ## Citation
 
-I appreciated contributions of Falah G. Salieh. If you use this dataset in your work, please cite the following paper:
+I acknowledge and appreciate the foundational work of Falah G. Salieh. If you utilize this dataset in your research or work, please cite the original author:
 
 ```
 @misc{blood_8_classes_dataset,