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**Steps for accessing and using data files:**
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- Clone this reposory to access the data files (e.g. spanish_test.txt): [Private Repository](https://github.com/bkeej/usp_qnlp/tree/main/qnlp-data).
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- Copy the folder qnlp_data to the QNLP repository: `cp -r usp_qnlp/qnlp-data QNLP/data`
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- Create a new branch to test the code: `git checkout -b test_branch`
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Once all requirements and the environment has been set up, you can begin training the QNLP model and testing it.
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**Steps for training and testing the QNLP Model:**
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- Create a new branch to test the code: `git checkout -b test_branch`
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- Run `python classify.py`
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**Note:** the last line of ./run_me_first.sh will try to download a 5GB file. Alternately you can download spanish fasttext embeddings: go to [this](https://github.com/dccuchile/spanish-word-embeddings?tab=readme-ov-file#fasttext-embeddings-from-suc) url and download manually the `.bin` file for spanish unannotated corpora to the same location where this code is.

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