language edits

Author: jwmueller

multiannotator_cifar10/multiannotator_cifar10.ipynb

@@ -15,7 +15,7 @@
    "source": [
     "This example shows how to repeatedly improve consensus labels established from data labeled by multiple annotators by iterating the following steps: (1) train a model on the current consensus labels, (2) leverage the model's predictions to obtain superior consensus labels that can be used to subsequently train a better model in the next round. In each round, consensus labels are established using the [CROWDLAB algorithm](https://cleanlab.github.io/multiannotator-benchmarks/paper.pdf), for which a quickstart tutorial is available in the [cleanlab documentation](https://docs.cleanlab.ai/stable/tutorials/multiannotator.html). \n",
     "\n",
-    "Here we demonstrate this functionality using a subset of the [CIFAR-10H](https://github.com/jcpeterson/cifar-10h) dataset from Peterson et al. (2019), in which multiple human annotators were asked to suggest labels for images from the famous [CIFAR-10](https://www.cs.toronto.edu/~kriz/cifar.html) image classification dataset.\n",
+    "Here we demonstrate this functionality using a variant of the [CIFAR-10](https://github.com/jcpeterson/cifar-10h) dataset from Peterson et al. (2019), in which multiple human annotators were asked to suggest labels for images from this famous image classification dataset.\n",
     "Because this notebook utilizes AutoML for model training and cleanlab is compatible with any model/dataset, you should be able to run the below code with any image classification dataset where each image has been labeled by multiple annotators."
    ]
   },
@@ -76,7 +76,7 @@
     "# Here is an alternative command to download the data from the source:\n",
     "# cifar2png cifar10 ./data/cifar10_test --name-with-batch-index\n",
     "\n",
-    "# Import CIFAR-10h labels and image paths\n",
+    "# Import CIFAR-10 multi-annotator labels and image paths\n",
     "!cd $experiment_path && wget -nc 'https://cleanlab-public.s3.amazonaws.com/Multiannotator/cifar-10h/cifar-10h-worst25-coin20/c10h_labels_worst25_coin20.npy'\n",
     "!cd $experiment_path && wget -nc 'https://cleanlab-public.s3.amazonaws.com/Multiannotator/cifar-10h/cifar-10h-worst25-coin20/c10h_image_paths.npy'\n",
     "!cd $experiment_path && wget -nc 'https://cleanlab-public.s3.amazonaws.com/Multiannotator/cifar-10h/cifar-10h-worst25-coin20/c10h_test_labels.npy'"
@@ -88,7 +88,7 @@
    "metadata": {},
    "source": [
     "## Load labels selected by each annotator\n",
-    "Here `multiannotator_labels` is a subset of `CIFAR-10H`, where each image has been labeled by one or more annotators, but not every annotator has labeled every image."
+    "Here `multiannotator_labels` contains labels from multiple annotators for each CIFAR-10 image. Each image has been labeled by one or more annotators, but not every annotator has labeled every image."
    ]
   },
   {