may-ohta commited on
Commit
5eaba1e
1 Parent(s): 95d127b

Update jparacrawl.py

Browse files
Files changed (1) hide show
  1. jparacrawl.py +4 -4
jparacrawl.py CHANGED
@@ -158,7 +158,7 @@ class JParaCrawl(datasets.GeneratorBasedBuilder):
158
  break
159
  assert df is not None, extracted_path
160
 
161
- def _split(line: str, col: int):
162
  return line.split('\t', 4)[col].strip()
163
 
164
  df['domain'] = df[0].apply(partial(_split, col=0))
@@ -168,7 +168,7 @@ class JParaCrawl(datasets.GeneratorBasedBuilder):
168
  df['ja'] = df[0].apply(partial(_split, col=4))
169
  df = df.drop_duplicates(subset=[non_ja, 'ja'])
170
 
171
- def _normalize(s: str):
172
  return unicodedata.normalize("NFKC", s).replace('\t', ' ').strip()
173
 
174
  _id = 0
@@ -178,8 +178,8 @@ class JParaCrawl(datasets.GeneratorBasedBuilder):
178
  "url": row["url"],
179
  "probability": float(row["probability"]),
180
  "translation": {
181
- non_ja: _normalize(row[non_ja]: str),
182
- "ja": _normalize(row["ja"]: str),
183
  },
184
  }
185
  # Make sure that both translations are non-empty.
 
158
  break
159
  assert df is not None, extracted_path
160
 
161
+ def _split(line: str, col: int) -> str:
162
  return line.split('\t', 4)[col].strip()
163
 
164
  df['domain'] = df[0].apply(partial(_split, col=0))
 
168
  df['ja'] = df[0].apply(partial(_split, col=4))
169
  df = df.drop_duplicates(subset=[non_ja, 'ja'])
170
 
171
+ def _normalize(s: str) -> str:
172
  return unicodedata.normalize("NFKC", s).replace('\t', ' ').strip()
173
 
174
  _id = 0
 
178
  "url": row["url"],
179
  "probability": float(row["probability"]),
180
  "translation": {
181
+ non_ja: _normalize(row[non_ja]),
182
+ "ja": _normalize(row["ja"]),
183
  },
184
  }
185
  # Make sure that both translations are non-empty.