## Description This dataset consists of modified versions of the Bert scripts by [Phil Culliton](https://www.kaggle.com/philculliton) to be imported into kernels as a single library instead of adding each module as a separate utility script: 1. [`bert_modeling`](https://www.kaggle.com/philculliton/bert-modeling) 2. [`bert_optimization`](https://www.kaggle.com/philculliton/bert-optimization) 3. [`bert_tokenization`](https://www.kaggle.com/philculliton/bert-tokenization) 4. [`bert_baseline`](https://www.kaggle.com/dimitreoliveira/tf2-0-baseline-w-bert-translated-to-tf2-0)* > For the `baseline` script, I am using a simplified/organized version of the [translated version](https://www.kaggle.com/dimitreoliveira/tf2-0-baseline-w-bert-translated-to-tf2-0) by [dimitreoliveira](https://www.kaggle.com/dimitreoliveira) instead of the [original one](https://www.kaggle.com/philculliton/tf2-0-baseline-w-bert) by the Tensorflow team ## Usage To use in your Kernel: 1. Add this dataset as a new dataset. That adds the three files to your `input` folder under `TF2Bert` subfolder. 2. Import the library modules using the following commands in your script: import os os.chdir("/kaggle/input") from tf2bert import modeling, optimization, tokenization, baseline os.chdir('/kaggle/working`) ## License As described in the files, the code is licensed under the [Apache 2.0 license](https://www.apache.org/licenses/LICENSE-2.0)