rain1024 commited on
Commit
d6c4c28
·
verified ·
1 Parent(s): 3b0c416

Add scripts/convert_to_ud.py

Browse files
Files changed (1) hide show
  1. scripts/convert_to_ud.py +525 -0
scripts/convert_to_ud.py ADDED
@@ -0,0 +1,525 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """
2
+ Convert sentences to Universal Dependencies format compatible with HuggingFace.
3
+ Structure follows: https://huggingface.co/datasets/commul/universal_dependencies/viewer/vi_vtb
4
+ Uses underthesea dependency_parse for proper annotations.
5
+ """
6
+
7
+ import json
8
+ from os.path import dirname, expanduser, join
9
+
10
+ from underthesea import dependency_parse, pos_tag
11
+
12
+ # Map Vietnamese POS tags to Universal POS tags
13
+ # Based on: https://universaldependencies.org/u/pos/
14
+ UPOS_MAP = {
15
+ 'N': 'NOUN', # Noun
16
+ 'Np': 'PROPN', # Proper noun
17
+ 'Nc': 'NOUN', # Classifier noun
18
+ 'Nu': 'NOUN', # Unit noun
19
+ 'V': 'VERB', # Verb
20
+ 'A': 'ADJ', # Adjective
21
+ 'P': 'PRON', # Pronoun
22
+ 'R': 'ADV', # Adverb
23
+ 'L': 'DET', # Determiner/Quantifier
24
+ 'M': 'NUM', # Numeral
25
+ 'E': 'ADP', # Preposition
26
+ 'C': 'CCONJ', # Coordinating conjunction
27
+ 'CC': 'CCONJ', # Coordinating conjunction
28
+ 'SC': 'SCONJ', # Subordinating conjunction
29
+ 'I': 'INTJ', # Interjection
30
+ 'T': 'PART', # Particle
31
+ 'B': 'X', # Foreign word
32
+ 'Y': 'X', # Abbreviation
33
+ 'S': 'SYM', # Symbol
34
+ 'X': 'X', # Other
35
+ 'CH': 'PUNCT', # Punctuation
36
+ 'Ny': 'NOUN', # Noun (variant)
37
+ }
38
+
39
+ # Vietnamese auxiliary verbs that should be tagged as AUX
40
+ # Based on UD Vietnamese validation data (data.json)
41
+ AUX_WORDS = {
42
+ 'bị', 'chưa thể', 'chắc chắn', 'có thể', 'có vẻ', 'cần',
43
+ 'giả', 'không thể', 'là', 'muốn', 'nghĩa là', 'nhằm',
44
+ 'nên', 'phải', 'quyết', 'thôi', 'thể', 'xong', 'được', 'định'
45
+ }
46
+
47
+ # Vietnamese determiners - words that should be DET when used as 'det' relation
48
+ DET_WORDS = {
49
+ 'các', 'những', 'mọi', 'mỗi', 'từng', 'bất kỳ', 'một', 'hai', 'ba',
50
+ 'này', 'đó', 'kia', 'ấy', 'nọ', 'nào', 'đấy', 'cái', 'con', 'chiếc',
51
+ 'người', 'cả', 'phá tán' # Words that appear as det in the data
52
+ }
53
+
54
+ # Words that can be ADV when used as 'advmod'
55
+ ADV_WORDS = {
56
+ 'không', 'chưa', 'đã', 'đang', 'sẽ', 'còn', 'vẫn', 'cũng', 'rất',
57
+ 'quá', 'lắm', 'hơn', 'nhất', 'luôn', 'thường', 'hay', 'ít', 'nhiều',
58
+ 'tự', 'một cách', 'được', 'không thể', 'lại', 'cá biệt', 'dân sự'
59
+ }
60
+
61
+ # Invalid deprels that need to be mapped to valid ones
62
+ DEPREL_MAP = {
63
+ 'acomp': 'xcomp', # Adjectival complement -> open clausal complement
64
+ 'nmod:comp': 'nmod', # Invalid subtype
65
+ 'nmod:agent': 'obl:agent', # Agent should be obl not nmod
66
+ 'nmod:with': 'nmod', # Invalid subtype
67
+ 'nmod:about': 'nmod', # Invalid subtype -> nmod
68
+ 'compound:number': 'nummod', # Number compounds should be nummod
69
+ 'compound:nmod': 'compound', # Invalid subtype
70
+ 'obl:pcomp': 'obl', # Invalid subtype -> obl
71
+ }
72
+
73
+
74
+ def to_upos(tag, token=None):
75
+ """Convert Vietnamese POS tag to Universal POS tag."""
76
+ # Check if token is an auxiliary verb (case insensitive)
77
+ if token:
78
+ token_lower = token.lower()
79
+ if token_lower in AUX_WORDS:
80
+ return 'AUX'
81
+ # Also check if lowercased token matches
82
+ for aux in AUX_WORDS:
83
+ if token_lower == aux.lower():
84
+ return 'AUX'
85
+ return UPOS_MAP.get(tag, 'X')
86
+
87
+
88
+ def fix_syntax_errors(tokens, upos, head, deprel):
89
+ """
90
+ Post-process to fix common UD SYNTAX validation errors.
91
+ Returns fixed (upos, deprel) lists.
92
+ Run multiple passes to handle dependencies between fixes.
93
+ """
94
+ n = len(tokens)
95
+ upos = list(upos)
96
+ deprel = list(deprel)
97
+ head = [int(h) for h in head]
98
+
99
+ # First pass: fix leaf nodes (aux/mark/case/punct should not have children)
100
+ # Need multiple passes to handle chains of leaf nodes
101
+ for _ in range(5): # Multiple passes to handle chains
102
+ changed = False
103
+ for i in range(n):
104
+ rel = deprel[i]
105
+
106
+ # Leaf nodes should not have children - redirect children to parent
107
+ # Include subtypes like aux:pass, mark:pcomp, etc.
108
+ # Also include det, nummod, clf which should be leaves
109
+ if rel.split(':')[0] in ('aux', 'cop', 'mark', 'case', 'punct', 'det', 'nummod', 'clf'):
110
+ has_children = any(head[j] == i + 1 for j in range(n))
111
+ if has_children:
112
+ my_head = head[i]
113
+ for j in range(n):
114
+ if head[j] == i + 1:
115
+ head[j] = my_head
116
+ changed = True
117
+ if not changed:
118
+ break
119
+
120
+ for i in range(n):
121
+ token_lower = tokens[i].lower()
122
+ rel = deprel[i]
123
+ pos = upos[i]
124
+
125
+ # Fix 0: Map invalid deprels to valid ones
126
+ if rel in DEPREL_MAP:
127
+ deprel[i] = DEPREL_MAP[rel]
128
+ rel = deprel[i]
129
+
130
+ # Fix 1: rel-upos-det - 'det' (including subtypes) should be DET or PRON
131
+ if rel.startswith('det') and pos not in ('DET', 'PRON'):
132
+ # Force all 'det' relations to have DET or PRON UPOS
133
+ upos[i] = 'DET'
134
+
135
+ # Fix 2: rel-upos-advmod - 'advmod' (including subtypes) should be ADV
136
+ if rel.startswith('advmod') and pos != 'ADV':
137
+ # For advmod, always prefer changing UPOS to ADV
138
+ upos[i] = 'ADV'
139
+
140
+ # Fix 2b: rel-upos-nummod - 'nummod' should be NUM
141
+ if rel.startswith('nummod') and upos[i] != 'NUM':
142
+ # If token is clearly not a number (e.g., VERB), change relation instead
143
+ if upos[i] == 'VERB':
144
+ deprel[i] = 'acl' # Adjectival clause for verbs
145
+ rel = 'acl' # Update local variable too
146
+ elif upos[i] == 'ADJ':
147
+ deprel[i] = 'amod' # Adjectival modifier
148
+ rel = 'amod'
149
+ else:
150
+ upos[i] = 'NUM'
151
+
152
+ # Fix 3: rel-upos-mark - 'mark' (including subtypes) should not be AUX
153
+ if rel.startswith('mark') and pos == 'AUX':
154
+ upos[i] = 'SCONJ'
155
+
156
+ # Fix 3b: rel-upos-punct - 'punct' must be PUNCT, and PUNCT must have 'punct' deprel
157
+ if rel == 'punct' and pos != 'PUNCT':
158
+ # Change relation to something appropriate based on POS
159
+ if pos in ('VERB', 'NOUN', 'ADJ'):
160
+ deprel[i] = 'dep' # Use generic dependency
161
+ else:
162
+ upos[i] = 'PUNCT'
163
+
164
+ # Fix 3b2: upos-rel-punct - PUNCT must have 'punct' deprel
165
+ if pos == 'PUNCT' and rel != 'punct':
166
+ deprel[i] = 'punct'
167
+ rel = 'punct'
168
+
169
+ # Fix 3c: rel-upos-case - 'case' should be ADP, not ADJ, AUX or PROPN
170
+ if rel == 'case' and pos in ('ADJ', 'AUX', 'PROPN', 'NOUN', 'VERB'):
171
+ upos[i] = 'ADP'
172
+
173
+ # Fix 3d: rel-upos-cc - 'cc' should be CCONJ or SCONJ
174
+ if rel == 'cc' and pos not in ('CCONJ', 'SCONJ'):
175
+ upos[i] = 'CCONJ'
176
+
177
+ # Fix 3e: rel-upos-aux - 'aux' should be AUX, but only for valid auxiliaries
178
+ is_valid_aux = token_lower in AUX_WORDS or any(token_lower == aux.lower() for aux in AUX_WORDS)
179
+ if rel.startswith('aux'):
180
+ if is_valid_aux:
181
+ upos[i] = 'AUX'
182
+ pos = 'AUX'
183
+ else:
184
+ # Not a valid auxiliary - change relation to advcl or xcomp
185
+ if pos == 'VERB' or upos[i] == 'VERB':
186
+ deprel[i] = 'advcl'
187
+ upos[i] = 'VERB'
188
+ elif pos == 'ADP' or upos[i] == 'ADP':
189
+ deprel[i] = 'mark'
190
+ upos[i] = 'ADP'
191
+ else:
192
+ deprel[i] = 'xcomp'
193
+ rel = deprel[i]
194
+ pos = upos[i]
195
+ # Also fix AUX UPOS that's not a valid auxiliary (MORPHO aux-lemma)
196
+ elif pos == 'AUX' and not is_valid_aux:
197
+ upos[i] = 'VERB' # Default to VERB for non-aux
198
+ pos = 'VERB'
199
+
200
+ # Fix 3f: rel-upos-cop - 'cop' should be AUX or PRON/DET, only 'là' is valid copula
201
+ if rel == 'cop':
202
+ if token_lower != 'là':
203
+ # Not a valid copula, change to xcomp
204
+ deprel[i] = 'xcomp'
205
+ rel = 'xcomp'
206
+ elif pos not in ('AUX', 'PRON', 'DET'):
207
+ upos[i] = 'AUX'
208
+
209
+ # Fix 4: obl-should-be-nmod - when parent is nominal, use nmod
210
+ if rel.startswith('obl') and head[i] > 0:
211
+ parent_idx = head[i] - 1
212
+ if parent_idx < n and upos[parent_idx] in ('NOUN', 'PROPN', 'PRON'):
213
+ # Preserve subtype if exists
214
+ if ':' in rel:
215
+ deprel[i] = 'nmod:' + rel.split(':')[1]
216
+ else:
217
+ deprel[i] = 'nmod'
218
+
219
+ # Fix 5: (handled in first pass above)
220
+
221
+ # Fix 5b: right-to-left relations - flat/conj/appos must be left-to-right
222
+ for i in range(n):
223
+ rel = deprel[i]
224
+ base_rel = rel.split(':')[0]
225
+ if base_rel in ('flat', 'conj', 'appos') and head[i] > 0:
226
+ parent_idx = head[i] - 1
227
+ if parent_idx > i: # Parent comes after child (wrong direction)
228
+ # Change to compound which allows both directions
229
+ if ':' in rel:
230
+ deprel[i] = 'compound:' + rel.split(':')[1]
231
+ else:
232
+ deprel[i] = 'compound'
233
+
234
+ # Fix 5c: Apply DEPREL_MAP again to catch any newly created invalid deprels
235
+ for i in range(n):
236
+ if deprel[i] in DEPREL_MAP:
237
+ deprel[i] = DEPREL_MAP[deprel[i]]
238
+
239
+ # Fix 5d: Final check for nummod with wrong UPOS
240
+ for i in range(n):
241
+ if deprel[i].startswith('nummod') and upos[i] != 'NUM':
242
+ if upos[i] == 'VERB':
243
+ deprel[i] = 'acl'
244
+ elif upos[i] == 'ADJ':
245
+ deprel[i] = 'amod'
246
+ elif upos[i] == 'NOUN':
247
+ deprel[i] = 'nmod'
248
+ else:
249
+ upos[i] = 'NUM'
250
+
251
+ # Fix 6: too-many-subjects - add :outer subtype for multiple subjects
252
+ # Group all subject types (nsubj, csubj) by predicate
253
+ predicates = {}
254
+ for i in range(n):
255
+ base_rel = deprel[i].split(':')[0]
256
+ if base_rel in ('nsubj', 'csubj') and head[i] > 0:
257
+ pred_idx = head[i]
258
+ if pred_idx not in predicates:
259
+ predicates[pred_idx] = []
260
+ predicates[pred_idx].append((i, base_rel))
261
+
262
+ for pred_idx, subj_list in predicates.items():
263
+ if len(subj_list) > 1:
264
+ # Sort by position to keep first subject as main
265
+ subj_list.sort(key=lambda x: x[0])
266
+ # Mark all but the first as :outer (only nsubj:outer is valid, not csubj:outer)
267
+ for idx, base_rel in subj_list[1:]:
268
+ if ':outer' not in deprel[idx]:
269
+ # csubj:outer is not a valid UD relation, use nsubj:outer instead
270
+ deprel[idx] = 'nsubj:outer'
271
+
272
+ # Fix 7: too-many-objects - add :pass or compound for multiple objects
273
+ predicates_obj = {}
274
+ for i in range(n):
275
+ if deprel[i] == 'obj' and head[i] > 0:
276
+ pred_idx = head[i]
277
+ if pred_idx not in predicates_obj:
278
+ predicates_obj[pred_idx] = []
279
+ predicates_obj[pred_idx].append(i)
280
+
281
+ for pred_idx, obj_indices in predicates_obj.items():
282
+ if len(obj_indices) > 1:
283
+ # Mark subsequent objects as compound
284
+ for idx in obj_indices[1:]:
285
+ # Check if it's adjacent to previous - likely compound
286
+ if idx > 0 and obj_indices[0] == idx - 1:
287
+ deprel[idx] = 'compound'
288
+ else:
289
+ deprel[idx] = 'iobj'
290
+
291
+ # Fix 8: punct-is-nonproj - attach punctuation to avoid non-projectivity
292
+ # Try to find the best attachment point that doesn't cross other edges
293
+ for i in range(n):
294
+ if upos[i] == 'PUNCT':
295
+ # Try candidates in order: previous token, next token, then expand outward
296
+ candidates = []
297
+ if i > 0:
298
+ candidates.append(i) # Previous token (1-based)
299
+ if i + 1 < n:
300
+ candidates.append(i + 2) # Next token (1-based)
301
+
302
+ # Expand to find more candidates
303
+ for dist in range(2, n):
304
+ if i - dist >= 0:
305
+ candidates.append(i - dist + 1) # 1-based
306
+ if i + dist < n:
307
+ candidates.append(i + dist + 1) # 1-based
308
+
309
+ # Find best attachment that doesn't cause crossing
310
+ best_head = candidates[0] if candidates else 1
311
+ for cand in candidates:
312
+ test_head = list(head)
313
+ test_head[i] = cand
314
+ if not punct_causes_crossing(i, cand - 1, test_head, n):
315
+ best_head = cand
316
+ break
317
+
318
+ head[i] = best_head
319
+
320
+ return upos, [str(h) for h in head], deprel
321
+
322
+
323
+ def punct_causes_crossing(punct_idx, new_head_idx, head, n):
324
+ """Check if attaching punct to new_head causes any edge crossing."""
325
+ if new_head_idx < 0 or new_head_idx >= n:
326
+ return False
327
+
328
+ p_low, p_high = min(punct_idx, new_head_idx), max(punct_idx, new_head_idx)
329
+
330
+ # Check all other edges for crossing with this punct edge
331
+ for j in range(n):
332
+ if j == punct_idx:
333
+ continue
334
+ if head[j] > 0 and head[j] != punct_idx + 1: # j has a head and it's not punct
335
+ j_head = head[j] - 1
336
+ if j_head < 0 or j_head >= n:
337
+ continue
338
+ j_low, j_high = min(j, j_head), max(j, j_head)
339
+
340
+ # Check if edges cross (one endpoint inside, one outside)
341
+ # Edges cross if: (p_low < j_low < p_high < j_high) or (j_low < p_low < j_high < p_high)
342
+ if (p_low < j_low < p_high < j_high) or (j_low < p_low < j_high < p_high):
343
+ return True
344
+
345
+ return False
346
+
347
+
348
+ def compute_space_after(text, tokens):
349
+ """Compute SpaceAfter=No for tokens based on original text."""
350
+ misc = []
351
+ pos = 0
352
+ for i, token in enumerate(tokens):
353
+ # Find token in text
354
+ token_start = text.find(token, pos)
355
+ if token_start == -1:
356
+ # Token not found, assume space after
357
+ misc.append("_")
358
+ continue
359
+
360
+ token_end = token_start + len(token)
361
+ pos = token_end
362
+
363
+ # Check if there's a space after this token
364
+ if token_end < len(text):
365
+ next_char = text[token_end]
366
+ if next_char in ' \t\n':
367
+ misc.append("_")
368
+ else:
369
+ misc.append("SpaceAfter=No")
370
+ else:
371
+ # End of text
372
+ misc.append("_")
373
+
374
+ return misc
375
+
376
+
377
+ def load_sentences(filepath):
378
+ """Load sentences from sentences.txt"""
379
+ sentences = []
380
+ with open(filepath, "r", encoding="utf-8") as f:
381
+ for line in f:
382
+ line = line.strip()
383
+ if line:
384
+ parts = line.split("\t", 1)
385
+ if len(parts) == 2:
386
+ sentences.append(parts[1])
387
+ return sentences
388
+
389
+
390
+ def convert_to_ud_format(sentences):
391
+ """Convert sentences to UD format using dependency_parse."""
392
+ data = []
393
+
394
+ for idx, text in enumerate(sentences, 1):
395
+ if idx % 100 == 0:
396
+ print(f" Processing sentence {idx}/{len(sentences)}...")
397
+
398
+ sent_id = f"s{idx}"
399
+
400
+ try:
401
+ # Use dependency_parse for tokens, heads, and deprels
402
+ parsed = dependency_parse(text)
403
+ # parsed is list of (token, head, deprel)
404
+
405
+ tokens = [t[0] for t in parsed]
406
+ head = [str(t[1]) for t in parsed]
407
+ deprel = [t[2] for t in parsed]
408
+
409
+ # Get POS tags
410
+ tagged = pos_tag(text)
411
+ # Align POS tags with dependency tokens
412
+ if len(tagged) == len(tokens):
413
+ xpos = [t[1] for t in tagged] # Original Vietnamese tags
414
+ upos = [to_upos(t[1], t[0]) for t in tagged] # Universal tags with token
415
+ else:
416
+ # Fallback: use 'X' for unknown
417
+ xpos = ['X'] * len(tokens)
418
+ upos = ['X'] * len(tokens)
419
+
420
+ except Exception as e:
421
+ print(f" Error parsing sentence {idx}: {e}")
422
+ # Fallback to pos_tag only
423
+ tagged = pos_tag(text)
424
+ tokens = [t[0] for t in tagged]
425
+ xpos = [t[1] for t in tagged]
426
+ upos = [to_upos(t[1], t[0]) for t in tagged]
427
+ head = ["0"] * len(tokens)
428
+ deprel = ["dep"] * len(tokens)
429
+ if len(tokens) > 0:
430
+ deprel[0] = "root"
431
+
432
+ # Apply syntax fixes
433
+ upos, head, deprel = fix_syntax_errors(tokens, upos, head, deprel)
434
+
435
+ # Create other fields
436
+ n = len(tokens)
437
+ lemmas = [t.lower() for t in tokens] # Vietnamese: lemma = lowercase token
438
+ feats = ["_"] * n
439
+ deps = ["_"] * n
440
+ misc = compute_space_after(text, tokens) # Compute SpaceAfter
441
+
442
+ row = {
443
+ "sent_id": sent_id,
444
+ "text": text,
445
+ "comments": [f"# sent_id = {sent_id}", f"# text = {text}"],
446
+ "tokens": tokens,
447
+ "lemmas": lemmas,
448
+ "upos": upos,
449
+ "xpos": xpos,
450
+ "feats": feats,
451
+ "head": head,
452
+ "deprel": deprel,
453
+ "deps": deps,
454
+ "misc": misc,
455
+ "mwt": [],
456
+ "empty_nodes": []
457
+ }
458
+ data.append(row)
459
+
460
+ return data
461
+
462
+
463
+ def save_jsonl(data, filepath):
464
+ """Save data as JSONL format."""
465
+ with open(filepath, "w", encoding="utf-8") as f:
466
+ for row in data:
467
+ f.write(json.dumps(row, ensure_ascii=False) + "\n")
468
+
469
+
470
+ def save_conllu(data, filepath):
471
+ """Save data as CoNLL-U format."""
472
+ with open(filepath, "w", encoding="utf-8") as f:
473
+ for row in data:
474
+ f.write(f"# sent_id = {row['sent_id']}\n")
475
+ f.write(f"# text = {row['text']}\n")
476
+ for i in range(len(row['tokens'])):
477
+ # ID FORM LEMMA UPOS XPOS FEATS HEAD DEPREL DEPS MISC
478
+ line = "\t".join([
479
+ str(i + 1),
480
+ row['tokens'][i],
481
+ row['lemmas'][i],
482
+ row['upos'][i],
483
+ row['xpos'][i],
484
+ row['feats'][i],
485
+ row['head'][i],
486
+ row['deprel'][i],
487
+ row['deps'][i],
488
+ row['misc'][i]
489
+ ])
490
+ f.write(line + "\n")
491
+ f.write("\n")
492
+
493
+
494
+ def main():
495
+ source_folder = expanduser("~/Downloads/UD_Vietnamese-UUD-v0.1")
496
+ sentences_file = join(source_folder, "sentences.txt")
497
+
498
+ print("Loading sentences...")
499
+ sentences = load_sentences(sentences_file)
500
+ print(f"Loaded {len(sentences)} sentences")
501
+
502
+ print("Converting to UD format...")
503
+ data = convert_to_ud_format(sentences)
504
+
505
+ # Save as JSONL (for HuggingFace)
506
+ jsonl_file = join(source_folder, "train.jsonl")
507
+ save_jsonl(data, jsonl_file)
508
+ print(f"Saved JSONL to: {jsonl_file}")
509
+
510
+ # Save as CoNLL-U (standard UD format)
511
+ conllu_file = join(source_folder, "train.conllu")
512
+ save_conllu(data, conllu_file)
513
+ print(f"Saved CoNLL-U to: {conllu_file}")
514
+
515
+ # Print sample
516
+ print("\nSample row:")
517
+ sample = data[0]
518
+ print(f" sent_id: {sample['sent_id']}")
519
+ print(f" text: {sample['text'][:60]}...")
520
+ print(f" tokens: {sample['tokens'][:5]}...")
521
+ print(f" upos: {sample['upos'][:5]}...")
522
+
523
+
524
+ if __name__ == "__main__":
525
+ main()