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reference correct dataset used for classification #4046

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2 changes: 1 addition & 1 deletion ...azon_algorithms/tabtransformer_tabular/Amazon_Tabular_Classification_TabTransformer.ipynb
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"\n",
"If you want to bring your own dataset, below are the instructions on how the training data should be formatted as input to the model.\n",
"\n",
"A S3 path should contain two sub-directories 'train/', 'validation/' (optional), and a json-format file named 'categorical_index.json' (optional). Each sub-directory contains a 'data.csv' file (The ABALONE dataset used in this example has been prepared and saved in `training_dataset_s3_path` shown below).\n",
"A S3 path should contain two sub-directories 'train/', 'validation/' (optional), and a json-format file named 'categorical_index.json' (optional). Each sub-directory contains a 'data.csv' file (The [Adult](https://archive.ics.uci.edu/ml/datasets/adult) dataset used in this example has been prepared and saved in `training_dataset_s3_path` shown below).\n",
"\n",
"* The 'data.csv' files under sub-directory 'train/' and 'validation/' are for training and validation, respectively. The validation data is used to compute a validation score at the end of each boosting iteration. An early stopping is applied when the validation score stops improving. If the validation data is not provided, a 20% of training data is randomly sampled to serve as the validation data.\n",
"\n",
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