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On 17 April 1879, Milutin Tesla died at the age of 60 after\ncontracting an unspecified illness (although some sources say that he died of a stroke). During\nthat year, Tesla taught a large class of students in his old school, Higher Real Gymnasium, in\nGospic.\n\nQuestion: Why was Tesla returned to Gospic?\n\nAnswer : not having a residence permit\n\n\n## The project has several dependencies that have to be satisfied before running the code. You can install them using your preferred method -- we list here the names of the packages using `pip`.\n\n# Requirements\n\nThe starter code provided pressuposes a working installation of Python 2.7, as well as a TensorFlow 0.12.1.\n\nIt should also install all needed dependnecies through\n`pip install -r requirements.txt`.\n\n# Running \n\nThe WordEmbedding and the preprocessing scripts are taken from the Stanford CS224 class, though we will be modelling and training different neural network models.\n\nYou can get started by downloading the datasets and doing dome basic preprocessing:\n\n$ code/get_started.sh\n\nNote that you will always want to run your code from this assignment directory, not the code directory, like so:\n\n$ python code/train.py\n\nThis ensures that any files created in the process don't pollute the code directoy.\n\n# Dataset\nAfter the download, the SQuAD dataset is placed in the data/squad folder. SQuAD downloaded\nfiles include train and dev files in JSON format:\n• train-v1.1.json: a train dataset with around 87k triplets.\n• dev-v1.1.json: a dev dataset with around 10k triplets.\n\nNote that there is no test dataset publicly available: it is kept by the authors of SQuAD to ensure fairness in model evaluations. While developing the model, we will consider for all purposes the dev set as our test set, i.e., we won’t be using the dev set until afterinitial model development. Instead, we split the supplied train dataset into two parts: a 95% slice for training, and the rest 5% for validation purposes, including hyperparameter search. We refer to these as train.* and val.* in filenames.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fimraviagrawal%2FReadingComprehension","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fimraviagrawal%2FReadingComprehension","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fimraviagrawal%2FReadingComprehension/lists"}