Update dataset card

README.md

@@ -1,24 +1,137 @@
 ---
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': biting
-          '1': no_biting
+annotations_creators:
+- expert-generated
+- machine-generated
+language:
+- en
+language_creators: []
+license:
+- mit
+multilinguality: []
+paperswithcode_id: acronym-identification
+pretty_name: Nailbiting Classification
+size_categories:
+- 1K<n<10K
+source_datasets:
+- original
+tags:
+- nailbiting
+- image
+- preprocesses
+task_categories:
+- image-classification
+task_ids: []
+train-eval-index:
+- col_mapping:
+    labels: tags
+    tokens: tokens
+  config: default
   splits:
-  - name: train
-    num_bytes: 11965736.715
-    num_examples: 6629
-  - name: test
-    num_bytes: 2914052.885
-    num_examples: 1471
-  download_size: 12332617
-  dataset_size: 14879789.6
+    eval_split: test
+  task: token-classification
+  task_id: entity_extraction
 ---
-# Dataset Card for "nailbiting_classification"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+# Dataset Card for Nail Biting Classification
+
+## Table of Contents
+- [Table of Contents](#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://huggingface.co/datasets/alecsharpie/nailbiting_classification**
+- **Repository: https://github.com/alecsharpie/nomo_nailbiting**
+- **Paper:**
+- **Leaderboard:**
+- **Point of Contact: alecsharpie@gmail.com**
+
+### Dataset Summary
+
+A binary image dataset for classifying nailbiting. Images are cropped to only show the mouth area.
+Should contain edge cases such as drinking water, talking on the phone, scratching chin etc.. all in "no biting" category
+
+## Dataset Structure
+
+### Data Instances
+
+ - 7147 Images
+ - 14879790 bytes total
+ - 12332617 bytes download
+
+### Data Fields
+
+128 x 64 (w x h, pixels)
+Black and white
+
+Labels
+ - '0': biting
+ - '1': no_biting
+
+### Data Splits
+
+- train: 6629 (11965737 bytes)
+- test: 1471 (2914053 bytes)
+
+## Dataset Creation
+
+### Curation Rationale
+
+I wanted to create a notification system to help me stop biting my nails. It needed to contain lots of possible no-biting scenarios. eg talking on the phone
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+The data was scraped from stock images sites and photos of myself were takwn with my webcam. 
+MTCNN (https://github.com/ipazc/mtcnn) was then used to crop the images down to only the show the mouth area
+The images were then converted to a black & white colour scheme.
+
+### Annotations
+
+#### Annotation process
+
+During the scraping process images were labelled with a description, which I then manually sanity checked. I labelled the ones of me manually. 
+
+#### Who are the annotators?
+
+Alec Sharp
+
+## Considerations for Using the Data
+
+### Discussion of Biases & Limitations
+
+Tried to make the dataset diverse in terms of age and skin tone. Although, this dataset contains a large number of images of one subject (me) so is biased towards lower quality webcam pictures of a white male with a short beard.
+
+### Dataset Curators
+
+Alec Sharp
+
+### Licensing Information
+
+MIT
+
+### Contributions
+
+Thanks to [@alecsharpie](https://github.com/alecsharpie) for adding this dataset.