The distribution of size of files (measured in lines of code).
File | # lines | # units |
---|---|---|
_md5sum.py in preprocess |
2402 | - |
data.py in metaicl |
397 | 12 |
model.py in metaicl |
245 | 16 |
utils.py in preprocess |
237 | 8 |
discovery.py in preprocess |
210 | 5 |
test.py in root |
177 | 2 |
fewshot_gym_dataset.py in preprocess |
147 | 6 |
unifiedqa.py in preprocess |
136 | 4 |
_all_tasks.py in preprocess |
127 | - |
_build_gym.py in preprocess |
121 | 6 |
blimp.py in preprocess |
111 | 5 |
train.py in root |
105 | 1 |
tweet_eval.py in preprocess |
82 | 4 |
trec_finegrained.py in preprocess |
78 | 5 |
dbpedia_14.py in preprocess |
54 | 5 |
acronym_identification.py in preprocess |
49 | 5 |
ethos.py in preprocess |
48 | 5 |
utils.py in utils |
47 | 2 |
superglue_multirc.py in preprocess |
44 | 5 |
circa.py in preprocess |
43 | 5 |
download.py in utils |
43 | 2 |
proto_qa.py in preprocess |
42 | 5 |
math_qa.py in preprocess |
42 | 5 |
empathetic_dialogues.py in preprocess |
42 | 5 |
yahoo_answers_topics.py in preprocess |
41 | 5 |
emo.py in preprocess |
40 | 5 |
crows_pairs.py in preprocess |
40 | 5 |
climate_fever.py in preprocess |
40 | 5 |
amazon_polarity.py in preprocess |
39 | 5 |
wiki_bio.py in preprocess |
39 | 6 |
lama.py in preprocess |
39 | 5 |
quartz.py in preprocess |
39 | 5 |
onestop_english.py in preprocess |
38 | 5 |
medical_questions_pairs.py in preprocess |
38 | 5 |
financial_phrasebank.py in preprocess |
38 | 5 |
hate_speech18.py in preprocess |
37 | 5 |
yelp_polarity.py in preprocess |
37 | 5 |
trec.py in preprocess |
37 | 5 |
commonsense_qa.py in preprocess |
36 | 6 |
sciq.py in preprocess |
36 | 5 |
race.py in preprocess |
35 | 5 |
agnews.py in preprocess |
35 | 5 |
mc_taco.py in preprocess |
35 | 5 |
ade_classification.py in preprocess |
34 | 5 |
anli.py in preprocess |
34 | 5 |
hate_speech_offensive.py in preprocess |
34 | 5 |
reddit_tifu.py in preprocess |
34 | 5 |
quarel.py in preprocess |
34 | 5 |
swag.py in preprocess |
33 | 5 |
dream.py in preprocess |
33 | 5 |
File | # lines | # units |
---|---|---|
model.py in metaicl |
245 | 16 |
data.py in metaicl |
397 | 12 |
utils.py in preprocess |
237 | 8 |
fewshot_gym_dataset.py in preprocess |
147 | 6 |
commonsense_qa.py in preprocess |
36 | 6 |
wiki_bio.py in preprocess |
39 | 6 |
_build_gym.py in preprocess |
121 | 6 |
ade_classification.py in preprocess |
34 | 5 |
emo.py in preprocess |
40 | 5 |
anli.py in preprocess |
34 | 5 |
wiki_auto.py in preprocess |
29 | 5 |
aslg_pc12.py in preprocess |
30 | 5 |
onestop_english.py in preprocess |
38 | 5 |
ai2_arc.py in preprocess |
31 | 5 |
trec_finegrained.py in preprocess |
78 | 5 |
amazon_polarity.py in preprocess |
39 | 5 |
yelp_review_full.py in preprocess |
28 | 5 |
jeopardy.py in preprocess |
30 | 5 |
swag.py in preprocess |
33 | 5 |
numer_sense.py in preprocess |
30 | 5 |
There are 71 files with lines longer than 120 characters. In total, there are 89 long lines.
File | # lines | # units | # long lines |
---|---|---|---|
unifiedqa.py in preprocess |
136 | 4 | 4 |
data.py in metaicl |
397 | 12 | 4 |
model.py in metaicl |
245 | 16 | 3 |
fewshot_gym_dataset.py in preprocess |
147 | 6 | 2 |
winogrande.py in preprocess |
24 | 4 | 2 |
ropes.py in preprocess |
29 | 5 | 2 |
glue_qqp.py in preprocess |
30 | 5 | 2 |
_build_gym.py in preprocess |
121 | 6 | 2 |
blimp.py in preprocess |
111 | 5 | 2 |
eli5.py in preprocess |
33 | 5 | 2 |
glue_mnli.py in preprocess |
33 | 5 | 2 |
yahoo_answers_topics.py in preprocess |
41 | 5 | 2 |
liar.py in preprocess |
30 | 4 | 2 |
anli.py in preprocess |
34 | 5 | 1 |
wiki_auto.py in preprocess |
29 | 5 | 1 |
search_qa.py in preprocess |
22 | 4 | 1 |
trec_finegrained.py in preprocess |
78 | 5 | 1 |
amazon_polarity.py in preprocess |
39 | 5 | 1 |
jeopardy.py in preprocess |
30 | 5 | 1 |
superglue_rte.py in preprocess |
25 | 4 | 1 |