Create README.md

README.md

@@ -1,5 +1,15 @@
 ---
+task_categories:
+- image-classification
+language:
+- en
+tags:
+- Images
+pretty_name: 'Material Classification Hands On '
+size_categories:
+- n<1K
 dataset_info:
+  config_name: plain_text
   features:
   - name: image
     dtype: image
@@ -14,18 +24,144 @@ dataset_info:
           '4': Wood
   splits:
   - name: train
-    num_bytes: 16618897.4
     num_examples: 120
   - name: test
-    num_bytes: 4154725.6
-    num_examples: 30
-  download_size: 20778905
-  dataset_size: 20773623.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
+    num_examples: 30¿
 ---
+# 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:**
+
+### 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.
+
+### Supported Tasks and Leaderboards
+
+- `image-classification`: The goal of this task is to classify a given image into one of 5 classes.
+
+### Languages
+
+English 
+
+## Dataset Structure
+
+### Data Instances
+
+A sample from the training set is provided below:
+
+```
+{
+  'image': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=256x256>,
+  'label': 1
+}
+```
+
+### Data Fields
+
+- image: A `PIL.Image.Image` object containing the 256x256 image. Note that when accessing the image column: `dataset['train']["image"]` the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. 
+- label: 0-4 with the following correspondence
+        '0': Brick
+        '1': Metal
+        '2': Paper
+        '3': Plastic
+        '4': Wood
+
+### Data Splits
+
+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
+
+```
+@TECHREPORT{
+    author = {Brayan Sneider Sánchez, Dana Meliza Villamizar, Cesar Vanegas, Juan Jose Calderón},
+    title = {Material Classification},
+    institution = {Universidad Industrial de Santander},
+    year = {2024}
+}
+```