ChildhoodArchive
GitHub Desktop
- Click on the green
Codebutton - Select open with GitHub desktop
- See below
ZIP file
- Click on the green
Codebutton - Select download zip files from the dropdown menu
- Unzip in Downloads
- Open the project with VS Code Studio
- Press control with ~ key to summon up a new terminal
- Run
python3 run_classifier.py --task_name=cola --do_train=true --do_eval=true --do_predict=true --data_dir=/Users/vic/Documents/GitHub/bert/datasets --vocab_file=/Users/vic/Downloads/uncased_L-12_H-768_A-12/vocab.txt --bert_config_file=/Users/vic/Downloads/uncased_L-12_H-768_A-12/bert_config.json --init_checkpoint=/Users/vic/Downloads/uncased_L-12_H-768_A-12/bert_model.ckpt.index --max_seq_length=400 --train_batch_size=8 --learning_rate=2e-5 --num_train_epochs=3.0 --output_dir=/Users/vic/Documents/GitHub/bert/bert_output --do_lower_case=True
Please use absolute path as above indicated
- Install any missing module
Convert docx file to txt
-Download and move the docx2txt.sh shell script to the same directory as all .docx files
-Then type in command line/terminalmake docx2txt
You should see the following lines :
cat docx2txt.sh >docx2txt
chmod a+x docx2txt
-Convert .docx files into .txt
docx2txt TAT11P46.docx
Replace the file names as needed, a .txt file with the same file name should apppear in the directory
-Extract interview question texts
grep "Q" < TAT11P46.txt > Q_TAT11P46.txt
Replace the file names as needed -Extract interview answer texts
grep "A" < TAT11P46.txt > A_TAT11P46.txt
Replace the file names as needed
Sorting through TAT interview sections
vim TAT11P46.txt
- Then in normal mode (i.e. not inserting), type
:set numbersfor line numbers to appear. - You can always search for a section, for example, section (2) with
/(2). - Finally, extract target lines and direct output into the same file with two wakkas ('>').
head -n "$last" TAT11P46.txt | tail -n +"$first" TAT11P46.txt >> section_two.txt