The distribution of size of files (measured in lines of code).
File | # lines | # units |
---|---|---|
question_answering.py in utils_nlp/models/transformers |
1067 | 23 |
abstractive_summarization_seq2seq.py in utils_nlp/models/transformers |
707 | 22 |
extractive_summarization.py in utils_nlp/models/transformers |
528 | 27 |
abstractive_summarization_bertsum.py in utils_nlp/models/transformers |
510 | 21 |
utils.py in utils_nlp/models/gensen |
455 | 13 |
cooccur.c in utils_nlp/models/glove/src |
411 | 15 |
glove.c in utils_nlp/models/glove/src |
374 | 7 |
datasets.py in utils_nlp/models/transformers |
349 | 26 |
model_builder.py in utils_nlp/models/transformers/bertsum |
313 | 15 |
rouge_ext.py in utils_nlp/eval/rouge |
312 | 11 |
gensen.py in utils_nlp/models/gensen |
292 | 12 |
named_entity_recognition.py in utils_nlp/models/transformers |
269 | 11 |
common.py in utils_nlp/models/transformers |
262 | 11 |
ranking.py in utils_nlp/eval/SentEval/senteval/tools |
259 | 12 |
neural.py in utils_nlp/models/transformers/bertsum |
232 | 15 |
cnndm.py in utils_nlp/dataset |
229 | 8 |
common.py in utils_nlp/models/bert |
226 | 13 |
sequence_classification.py in utils_nlp/models/xlnet |
217 | 3 |
predictor.py in utils_nlp/models/transformers/bertsum |
215 | 5 |
multi_task_model.py in utils_nlp/models/gensen |
214 | 6 |
sequence_classification_distributed.py in utils_nlp/models/bert |
207 | 6 |
data_loader.py in utils_nlp/models/transformers/bertsum |
196 | 18 |
sequence_classification.py in utils_nlp/models/transformers |
187 | 9 |
validation.py in utils_nlp/eval/SentEval/senteval/tools |
186 | 7 |
vocab_count.c in utils_nlp/models/glove/src |
185 | 9 |
optimizers.py in utils_nlp/models/transformers/bertsum |
185 | 16 |
decoder.py in utils_nlp/models/transformers/bertsum |
183 | 13 |
sequence_classification.py in utils_nlp/models/bert |
179 | 4 |
token_classification.py in utils_nlp/models/bert |
178 | 7 |
shuffle.c in utils_nlp/models/glove/src |
170 | 8 |
sick.py in utils_nlp/eval/SentEval/senteval |
167 | 8 |
sequence_encoding.py in utils_nlp/models/bert |
165 | 9 |
question_answering.py in utils_nlp/eval |
158 | 7 |
classifier.py in utils_nlp/eval/SentEval/senteval/tools |
145 | 8 |
generate_conda_file.py in tools |
144 | - |
sts.py in utils_nlp/eval/SentEval/senteval |
129 | 10 |
multinli.py in utils_nlp/dataset |
127 | 6 |
beam.py in utils_nlp/models/transformers/bertsum |
120 | 9 |
probing.py in utils_nlp/eval/SentEval/senteval |
115 | 14 |
loss.py in utils_nlp/models/transformers/bertsum |
115 | 16 |
wikigold.py in utils_nlp/dataset |
113 | 3 |
azureml_bert_util.py in utils_nlp/azureml |
110 | 8 |
encoder.py in utils_nlp/models/transformers/bertsum |
106 | 11 |
pytorch_utils.py in utils_nlp/common |
96 | 6 |
relatedness.py in utils_nlp/eval/SentEval/senteval/tools |
95 | 5 |
engine.py in utils_nlp/eval/SentEval/senteval |
94 | 2 |
sentence_selection.py in utils_nlp/dataset |
92 | 5 |
azureml_utils.py in utils_nlp/azureml |
87 | 4 |
snli.py in utils_nlp/eval/SentEval/senteval |
86 | 4 |
preprocess_utils.py in utils_nlp/models/gensen |
83 | 3 |
File | # lines | # units |
---|---|---|
extractive_summarization.py in utils_nlp/models/transformers |
528 | 27 |
datasets.py in utils_nlp/models/transformers |
349 | 26 |
question_answering.py in utils_nlp/models/transformers |
1067 | 23 |
abstractive_summarization_seq2seq.py in utils_nlp/models/transformers |
707 | 22 |
abstractive_summarization_bertsum.py in utils_nlp/models/transformers |
510 | 21 |
data_loader.py in utils_nlp/models/transformers/bertsum |
196 | 18 |
loss.py in utils_nlp/models/transformers/bertsum |
115 | 16 |
optimizers.py in utils_nlp/models/transformers/bertsum |
185 | 16 |
cooccur.c in utils_nlp/models/glove/src |
411 | 15 |
model_builder.py in utils_nlp/models/transformers/bertsum |
313 | 15 |
neural.py in utils_nlp/models/transformers/bertsum |
232 | 15 |
probing.py in utils_nlp/eval/SentEval/senteval |
115 | 14 |
common.py in utils_nlp/models/bert |
226 | 13 |
utils.py in utils_nlp/models/gensen |
455 | 13 |
decoder.py in utils_nlp/models/transformers/bertsum |
183 | 13 |
ranking.py in utils_nlp/eval/SentEval/senteval/tools |
259 | 12 |
gensen.py in utils_nlp/models/gensen |
292 | 12 |
rouge_ext.py in utils_nlp/eval/rouge |
312 | 11 |
encoder.py in utils_nlp/models/transformers/bertsum |
106 | 11 |
common.py in utils_nlp/models/transformers |
262 | 11 |
There are 9 files with lines longer than 120 characters. In total, there are 24 long lines.
File | # lines | # units | # long lines |
---|---|---|---|
cooccur.c in utils_nlp/models/glove/src |
411 | 15 | 6 |
glove.c in utils_nlp/models/glove/src |
374 | 7 | 6 |
get_transfer_data.bash in utils_nlp/eval/SentEval/data/downstream |
60 | - | 3 |
vocab_count.c in utils_nlp/models/glove/src |
185 | 9 | 3 |
model_builder.py in utils_nlp/models/transformers/bertsum |
313 | 15 | 2 |
setup.py in root |
65 | 1 | 1 |
multinli.py in utils_nlp/dataset |
127 | 6 | 1 |
rank.py in utils_nlp/eval/SentEval/senteval |
82 | 4 | 1 |
shuffle.c in utils_nlp/models/glove/src |
170 | 8 | 1 |