The distribution of size of files (measured in lines of code).
File | # lines | # units |
---|---|---|
evaluate.py in src/datatuner/lm |
857 | 12 |
run_classifier.py in src/datatuner/classification |
594 | 6 |
train.py in src/datatuner/lm |
379 | 1 |
prepare_mturk.py in paper/experiments/mturk |
327 | 6 |
data_loader.py in src/datatuner/lm |
246 | 6 |
classify_generated.py in src/datatuner/classification |
217 | 4 |
distractors.py in src/datatuner/classification |
177 | 9 |
metrics.py in src/datatuner/lm |
168 | 10 |
preprocess.py in paper/experiments/webnlg |
168 | 6 |
cross_entropy.py in src/datatuner/lm |
121 | 10 |
model_loader.py in src/datatuner/lm |
102 | 5 |
preprocess.py in paper/experiments/viggo |
84 | 2 |
utils.py in src/datatuner/lm |
77 | 8 |
reranker.py in src/datatuner/lm |
72 | 5 |
utils.py in src/datatuner |
69 | 13 |
novograd.py in src/datatuner/lm |
62 | 3 |
preprocess.py in paper/experiments/ldc |
57 | 2 |
custom_tokenizer.py in src/datatuner/lm |
55 | 1 |
text_stats.py in paper/experiments/mturk |
45 | 2 |
consistency_processor.py in src/datatuner/classification |
43 | 7 |
environment.yml in root |
42 | - |
special_token_generator.py in src/datatuner/lm |
41 | 4 |
process_json.py in src/datatuner/lm |
36 | 3 |
consistency_classifier.py in src/datatuner/classification |
36 | 3 |
custom_gpt2.py in src/datatuner/lm |
28 | 1 |
webnlg_utils.py in paper/experiments/webnlg |
15 | 2 |
setup.py in root |
13 | - |
launch_tokenizer.py in src/datatuner/lm |
10 | 1 |
mlflow.py in src/datatuner/ops |
9 | 2 |
converters.py in src/datatuner/lm |
3 | 1 |
__init__.py in src/datatuner/lm |
1 | - |
__init__.py in src/datatuner |
1 | - |
__init__.py in paper/experiments/viggo |
1 | - |
__init__.py in paper/experiments/ldc |
1 | - |
__init__.py in paper/experiments/webnlg |
1 | - |
File | # lines | # units |
---|---|---|
utils.py in src/datatuner |
69 | 13 |
evaluate.py in src/datatuner/lm |
857 | 12 |
metrics.py in src/datatuner/lm |
168 | 10 |
cross_entropy.py in src/datatuner/lm |
121 | 10 |
distractors.py in src/datatuner/classification |
177 | 9 |
utils.py in src/datatuner/lm |
77 | 8 |
consistency_processor.py in src/datatuner/classification |
43 | 7 |
data_loader.py in src/datatuner/lm |
246 | 6 |
run_classifier.py in src/datatuner/classification |
594 | 6 |
preprocess.py in paper/experiments/webnlg |
168 | 6 |
prepare_mturk.py in paper/experiments/mturk |
327 | 6 |
reranker.py in src/datatuner/lm |
72 | 5 |
model_loader.py in src/datatuner/lm |
102 | 5 |
special_token_generator.py in src/datatuner/lm |
41 | 4 |
classify_generated.py in src/datatuner/classification |
217 | 4 |
process_json.py in src/datatuner/lm |
36 | 3 |
novograd.py in src/datatuner/lm |
62 | 3 |
consistency_classifier.py in src/datatuner/classification |
36 | 3 |
mlflow.py in src/datatuner/ops |
9 | 2 |
preprocess.py in paper/experiments/viggo |
84 | 2 |
There are 3 files with lines longer than 120 characters. In total, there are 5 long lines.
File | # lines | # units | # long lines |
---|---|---|---|
evaluate.py in src/datatuner/lm |
857 | 12 | 3 |
model_loader.py in src/datatuner/lm |
102 | 5 | 1 |
classify_generated.py in src/datatuner/classification |
217 | 4 | 1 |