Update README.md

README.md

@@ -6,9 +6,9 @@ task_categories:
 
 # Dataset
 
-<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6018554e68258223ca22136f/6og2VldKOfp0Ci31h-r_w.mp4"></video>
+<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6018554e68258223ca22136f/yrKiz1A1q3i3VtkQ2jdKK.qt"></video>
 
-This dataset is used to train a transporter network for real-world pick/place within the RAD lab at the University of Edinburgh. The dataset is in TFDS format and was collected using [moveit2_data_collector](https://github.com/peterdavidfagan/moveit2_data_collector). In its current state the dataset is being tested as we are proving out this overall pipeline, keep monitoring this dataset and related repos for documentation updates.
+This dataset is used to train a transporter network for real-world pick/place. The dataset is in TFDS format and was collected using [moveit2_data_collector](https://github.com/peterdavidfagan/moveit2_data_collector). 
 
 # Download
 An example of downloading and loading the dataset is given below, as larger datasets are uploaded this example script will change:
@@ -24,7 +24,6 @@ DATA_DIR="/home/robot"
 FILENAME="data.tar.xz"
 EXTRACTED_FILENAME="data"
 FILEPATH=os.path.join(DATA_DIR, FILENAME)
-EXTRACTED_FILEPATH=os.path.join(DATA_DIR, EXTRACTED_FILENAME)
 
 # download data from huggingface
 hf_hub_download(
@@ -40,7 +39,7 @@ with tarfile.open(FILEPATH, 'r:xz') as tar:
 os.remove(FILEPATH)
 
 # load with tfds
-ds = tfds.builder_from_directory(EXTRACTED_FILEPATH).as_dataset()['train']
+ds = tfds.builder_from_directory(DATA_DIR).as_dataset()['train']
 
 # basic inspection of data
 print(ds.element_spec)