s434708/challenging-america-word-gap-prediction
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fix out no. lines

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Łukasz Jędyk 2022-04-02 15:26:18 +02:00
parent a0217d00af
commit 2f6c8330e5
3 changed files with 15146 additions and 14976 deletions
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17735
dev-0/out.tsv
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9
run.py
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@ -1,9 +1,10 @@
import pandas as pd
import csv
from nltk import trigrams, word_tokenize
from collections import Counter, defaultdict
train_data = pd.read_csv('train/in.tsv.xz', sep='\t', error_bad_lines=False, warn_bad_lines=False, header=None)
train_labels = pd.read_csv('train/expected.tsv', sep='\t', error_bad_lines=False, warn_bad_lines=False, header=None)
train_data = pd.read_csv('train/in.tsv.xz', sep='\t', error_bad_lines=False, warn_bad_lines=False, header=None, quoting=csv.QUOTE_NONE)
train_labels = pd.read_csv('train/expected.tsv', sep='\t', error_bad_lines=False, warn_bad_lines=False, header=None, quoting=csv.QUOTE_NONE)
train_data = train_data[[6, 7]]
train_data = pd.concat([train_data, train_labels], axis=1)
@ -45,8 +46,8 @@ def predict_probs(word1, word2):
return str_prediction
dev_data = pd.read_csv('dev-0/in.tsv.xz', sep='\t', error_bad_lines=False, warn_bad_lines=False, header=None)
test_data = pd.read_csv('test-A/in.tsv.xz', sep='\t', error_bad_lines=False, warn_bad_lines=False, header=None)
dev_data = pd.read_csv('dev-0/in.tsv.xz', sep='\t', error_bad_lines=False, warn_bad_lines=False, header=None, quoting=csv.QUOTE_NONE)
test_data = pd.read_csv('test-A/in.tsv.xz', sep='\t', error_bad_lines=False, warn_bad_lines=False, header=None, quoting=csv.QUOTE_NONE)
with open('dev-0/out.tsv', 'w') as file:
for index, row in dev_data.iterrows():

12378
test-A/out.tsv
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