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Update 00-upload-training-data.md #460

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4 changes: 2 additions & 2 deletions content/09-ml-on-parallelcluster/00-upload-training-data.md
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Expand Up @@ -12,7 +12,7 @@ In this step, you create an environment configuration script to train a Natural
First, create an Amazon S3 bucket and upload the training data folder. This training folder will be accessed by the cluster worker nodes through FSx.

1. Open a terminal in your AWS Cloud9 instance.
2. Run the following commands to create a new Amazon S3 bucket. These commands also retrieve and store the [Wikitext 103 dataset](https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/)
2. Run the following commands to create a new Amazon S3 bucket. These commands also retrieve and store the Wikitext 103 dataset

```bash
# generate a unique postfix
Expand All @@ -21,7 +21,7 @@ echo "Your bucket name will be mlbucket-${BUCKET_POSTFIX}"
aws s3 mb s3://mlbucket-${BUCKET_POSTFIX}

# downloading data:
export URL="https://s3.amazonaws.com/research.metamind.io/wikitext/wikitext-103-v1.zip"
export URL="https://path/to/wikitext-103-v1.zip"
export FILE="wikitext-103-v1.zip"
wget $URL -O $FILE
unzip $FILE
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