Update README.md

README.md

@@ -21,8 +21,6 @@ task_ids:
 - multi-label-image-classification
 ---
 
-# Dataset Card for [bethecloud/golf-courses]
-
 ## Table of Contents
 - [Table of Contents](#table-of-contents)
 - [Dataset Description](#dataset-description)
@@ -50,99 +48,61 @@ task_ids:
 
 ## Dataset Description
 
-- **Homepage:**
-- **Repository:**
-- **Paper:**
-- **Leaderboard:**
-- **Point of Contact:**
+- **Homepage: https://mirror.xyz/bitkevin.eth**
+- **Repository: https://colab.research.google.com/drive/1EnqpDiKOVYhR0c6f4CgmDg2zqcbYZJpB#scrollTo=c1ef3d21-6e0e-46c9-a459-8a2ab856a5ca**
+- **Point of Contact: Kevin Leffew – kleffew94@gmail.com**
+
+### golf-course: Dataset Summary
+
+This dataset (bethecloud/golf-courses) includes 14 unique images of golf courses pulled from Unsplash.  
+
+The dataset is a collection of photographs taken at various golf courses around the world. The images depict a variety of scenes, including fairways, greens, bunkers, water hazards, and clubhouse facilities. The images are high resolution and have been carefully selected to provide a diverse range of visual content for fine-tuning a machine learning model.
 
-### Dataset Summary
+The dataset is intended to be used in the context of the Hugging Face Dream Booth hackathon, a competition that challenges participants to build innovative applications using the Hugging Face transformers library. The submission is for the category of landscape.  
 
-[More Information Needed]
+Overall, this dataset provides a rich source of visual data for machine learning models looking to understand and classify elements of golf courses. Its diverse range of images and high-quality resolution make it well-suited for use in fine-tuning models for tasks such as image classification, object detection, and image segmentation.
 
-### Supported Tasks and Leaderboards
+By using the golf course images as part of their training data, participants can fine-tune their models to recognize and classify specific features and elements commonly found on golf courses.  The ultimate goal after the hackathon is to pull this dataset from decentralzied cloud storage (like Storj DCS), increasing its' accessibility, performance, and resiliance by distributing across an edge of over 17,000 uncorrelated participants.
 
-[More Information Needed]
+
+# Usage 
+The golf-courses dataset can be used by modifying the instance_prompt: a photo of golf course
+.
 
 ### Languages
 
-[More Information Needed]
+The language data in golf-courses is in English (BCP-47 en)
 
 ## Dataset Structure
 
-### Data Instances
-
-[More Information Needed]
+The complete dataset is GBs and consists of 21 objects.
 
-### Data Fields
+### Parallelized download using Decentralized Object Storage (Storj DCS)
 
-[More Information Needed]
+A direct download for the dataset is located at https://link.storjshare.io/juo7ynuvpe5svxj3hh454v6fnhba/golf-courses.
 
-### Data Splits
+In the future, Storj DCS will be used to download large datasets (exceeding 1TB) in a highly parallel, highly performant, and highly economical manner (by utilizing a network of over 17,000 diverse and economically incentivized datacenter node endpoints.
 
-[More Information Needed]
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-[More Information Needed]
+This model was created as a sample by Kevin Leffew as part of the DreamBooth Hackathon.
 
 ### 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]
+The source data for the dataset is simply pulled from Unsplash
 
 ### Licensing Information
 
-[More Information Needed]
+MIT License
 
-### Citation Information
+## Thanks to John Whitaker and Lewis Tunstall
 
-[More Information Needed]
+Thanks to [John Whitaker](https://github.com/johnowhitaker) and [Lewis Tunstall](https://github.com/lewtun)for writing out and describing the initial hackathon parameters at https://huggingface.co/dreambooth-hackathon.
 
-### Contributions
 
-Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
 ![accolade-creative-sdwbOqQ0M6k-unsplash.jpg](https://s3.amazonaws.com/moonup/production/uploads/1672365040260-630700fa1e731505a7772e31.jpeg)
 ![allan-nygren--xvKQuNtOhI-unsplash.jpg](https://s3.amazonaws.com/moonup/production/uploads/1672365039918-630700fa1e731505a7772e31.jpeg)
 ![amauri-cruz-filho-kBNV9WpCs5k-unsplash.jpg](https://s3.amazonaws.com/moonup/production/uploads/1672365039827-630700fa1e731505a7772e31.jpeg)