Update README.md

README.md

@@ -26,46 +26,20 @@ dataset_info:
   - name: train
     num_examples: 120
   - name: test
-    num_examples: 30¿
+    num_examples: 30
+license: mit
 ---
 # Dataset Card for Material Classification
 
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
 
 ## Dataset Description
 
 - **Homepage:** https://semillerocv.github.io/proyectos.html
-- **Repository:** 
-- **Paper:** 
-- **Leaderboard:**
-- **Point of Contact:**
+- **Repository:** https://github.com/Sneider-exe/Clasificacion_Materiales
 
 ### Dataset Summary
 
-The Material_classification_2U dataset consists of 150 256x256 colour images in 5 classes, with 30 images per class. There are 120 training images and 30 test images.
-
+The Material_classification_2U dataset consists of 150 256x256 color images, categorized into 5 classes with 30 images per class. The dataset is divided into two main subsets: 120 images for training and 30 images for testing. Each image is labeled into one of the following five categories: Brick, Metal, Paper, Plastic, and Wood. 
 ### Supported Tasks and Leaderboards
 
 - `image-classification`: The goal of this task is to classify a given image into one of 5 classes.
@@ -75,6 +49,20 @@ The Material_classification_2U dataset consists of 150 256x256 colour images in
 English 
 
 ## Dataset Structure
+### Dataset Structure
+
+- **Total Images:** 150
+  - **Image Size:** 256x256 pixels
+  - **Color:** RGB (Color images)
+- **Classes:** 5
+  - **Brick:** 30 images
+  - **Metal:** 30 images
+  - **Paper:** 30 images
+  - **Plastic:** 30 images
+  - **Wood:** 30 images
+- **Splits:**
+  - **Train:** 120 images (24 per class)
+  - **Test:** 30 images (6 per class)
 
 ### Data Instances
 
@@ -101,59 +89,9 @@ A sample from the training set is provided below:
 
 Train and Test
 
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
 
-[More Information Needed]
 
-### Licensing Information
 
-[More Information Needed]
 
 ### Citation Information