datasets

create_dataset_from_tsv.py

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+import pandas as pd
+import xmltodict
+from sklearn.model_selection import train_test_split
+import glob
+import sys
+import os
+
+filelist = glob.glob('tsv_source_target/*.tsv')
+
+data = pd.DataFrame()
+
+for tsvfile in filelist:
+    tmp = pd.read_csv(tsvfile, sep='\t')
+    tmp.columns=['source','target']
+    tmp['rev_source'] = tmp['target']
+    tmp['rev_target'] = tmp['source']
+
+
+    path = tsvfile.split("/")
+    source = path[1][0:3]
+    target = path[1][3:6]
+    
+    prefix = f"{source}_{target}: "
+    tmp['source'] = prefix + tmp['source']
+    
+    rev_prefix = f"{target}_{source}: "
+    tmp['rev_source'] = rev_prefix + tmp['rev_source']
+
+    data = pd.concat([data,tmp])
+
+
+#Shuffle
+data = data.sample(frac=1).reset_index(drop=True)
+
+# Add both directions
+original = data[['source','target']]
+reverse = data[['rev_source','rev_target']]
+reverse.columns=['source','target']
+
+data = pd.concat([original,reverse])
+data = data.sample(frac=1).reset_index(drop=True)
+
+# Train - test - dev
+train, test = train_test_split(data, test_size=0.2)
+test, dev = train_test_split(test, test_size=0.5)
+
+# Write the datasets to disk
+train.to_csv('tsv_all_source_target/train.tsv', index=False, header=False, sep='\t')
+test.to_csv('tsv_all_source_target/test.tsv', index=False, header=False, sep='\t')
+dev.to_csv('tsv_all_source_target/dev.tsv', index=False, header=False, sep='\t')
+
+
+print("Finished")

tsv_all_source_target/dev.tsv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f5de7e7fc05d9697ff9863f4846364878492e847d236c33d4e55495c66b3c2ae
+size 25212526

tsv_all_source_target/test.tsv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:53096012b9e502826ee0028367316aa624d6a1b847eb255f173b09d9475af4ce
+size 25054929

tsv_all_source_target/train.tsv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1f28b52818b79814f12c32e2ddf11f434e52439497a11bb8f251a89d682ac91e
+size 201104421