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Validate all CoNLL-U with official loader

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  1. README.md +7 -1
  2. data/prose_1/test-00000-of-00001.parquet +2 -2
  3. data/prose_1/train-00000-of-00001.parquet +2 -2
  4. data/prose_1/validation-00000-of-00001.parquet +2 -2
  5. data/prose_10/test-00000-of-00001.parquet +2 -2
  6. data/prose_10/train-00000-of-00001.parquet +2 -2
  7. data/prose_10/validation-00000-of-00001.parquet +2 -2
  8. data/prose_100/test-00000-of-00001.parquet +2 -2
  9. data/prose_100/train-00000-of-00001.parquet +2 -2
  10. data/prose_100/validation-00000-of-00001.parquet +2 -2
  11. data/verse_metre_1/test-00000-of-00001.parquet +2 -2
  12. data/verse_metre_1/train-00000-of-00001.parquet +2 -2
  13. data/verse_metre_1/validation-00000-of-00001.parquet +2 -2
  14. data/verse_metre_10/test-00000-of-00001.parquet +2 -2
  15. data/verse_metre_10/train-00000-of-00001.parquet +2 -2
  16. data/verse_metre_10/validation-00000-of-00001.parquet +2 -2
  17. data/verse_metre_100/test-00000-of-00001.parquet +2 -2
  18. data/verse_metre_100/train-00000-of-00001.parquet +2 -2
  19. data/verse_metre_100/validation-00000-of-00001.parquet +2 -2
  20. data/verse_sentence_1/test-00000-of-00001.parquet +2 -2
  21. data/verse_sentence_1/train-00000-of-00001.parquet +2 -2
  22. data/verse_sentence_1/validation-00000-of-00001.parquet +2 -2
  23. data/verse_sentence_10/test-00000-of-00001.parquet +2 -2
  24. data/verse_sentence_10/train-00000-of-00001.parquet +2 -2
  25. data/verse_sentence_10/validation-00000-of-00001.parquet +2 -2
  26. data/verse_sentence_100/test-00000-of-00001.parquet +2 -2
  27. data/verse_sentence_100/train-00000-of-00001.parquet +2 -2
  28. data/verse_sentence_100/validation-00000-of-00001.parquet +2 -2
  29. metadata/build_report.json +2 -0
  30. scripts/build_dataset.py +20 -3
  31. scripts/dataset_variants.py +1 -1
  32. scripts/validate_dataset.py +36 -1
  33. scripts/vendor/conll18_ud_eval.py +203 -0
  34. tests/test_conllu_well_formed.py +40 -0
README.md CHANGED
@@ -90,7 +90,7 @@ configs:
90
  # Sphragis
91
 
92
  Sphragis is a benchmark for Ancient Greek authorship
93
- attribution. Beta 0.4.0 combines licensed, human-annotated dependency treebanks[1]
94
  and the metrically annotated [Hypotactic](https://hypotactic.com/)(Chamberlain 2023)
95
  corpus. It supplies fixed train, validation and test splits.
96
 
@@ -222,6 +222,12 @@ incompatible source-specific tags are reconstructed from UPOS and FEATS, with
222
  unavailable distinctions represented by `-`. UPOS and FEATS remain the
223
  canonical UD fields.
224
 
 
 
 
 
 
 
225
  ## Deduplication
226
 
227
  Raw prose input comprised 72,336 sentences. Authorship curation retained
 
90
  # Sphragis
91
 
92
  Sphragis is a benchmark for Ancient Greek authorship
93
+ attribution. Beta 0.4.1 combines licensed, human-annotated dependency treebanks[1]
94
  and the metrically annotated [Hypotactic](https://hypotactic.com/)(Chamberlain 2023)
95
  corpus. It supplies fixed train, validation and test splits.
96
 
 
222
  unavailable distinctions represented by `-`. UPOS and FEATS remain the
223
  canonical UD fields.
224
 
225
+ Every distinct published `conllu` document is loaded during testing with the
226
+ [official CoNLL 2018 shared-task `load_conllu` parser](https://github.com/CoNLL-UD-2018/UDPipe-Future/blob/master/conll18_ud_eval.py).
227
+ This checks sentence
228
+ termination, ten-column structure, token IDs, heads, roots and dependency
229
+ cycles across all nine configurations.
230
+
231
  ## Deduplication
232
 
233
  Raw prose input comprised 72,336 sentences. Authorship curation retained
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@@ -940,7 +940,9 @@
940
  "validation": {
941
  "checks": {
942
  "fixed_exact_evaluation_chunks": true,
 
943
  "prose_exact_text_unique": true,
 
944
  "unique_ids": true,
945
  "verse_component_exact_coverage": true
946
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940
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941
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942
  "fixed_exact_evaluation_chunks": true,
943
+ "official_conll18_loader": true,
944
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945
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946
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947
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948
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scripts/build_dataset.py CHANGED
@@ -11,6 +11,7 @@ from __future__ import annotations
11
  import argparse
12
  import hashlib
13
  import html
 
14
  import json
15
  import random
16
  import re
@@ -29,8 +30,10 @@ import pyarrow.parquet as pq
29
 
30
  try:
31
  from scripts.dataset_variants import make_dataset_variants, variant_schema
 
32
  except ModuleNotFoundError: # Direct execution from the scripts directory.
33
  from dataset_variants import make_dataset_variants, variant_schema
 
34
 
35
 
36
  RANDOM_SEED = 776
@@ -338,7 +341,7 @@ def canonicalize_conllu_xpos(conllu: str) -> str:
338
  columns[4] = canonical_xpos(columns[3], columns[4], columns[5])
339
  line = "\t".join(columns)
340
  lines.append(line)
341
- return "\n".join(lines) + "\n"
342
 
343
 
344
  def canonical_native_deprel(relation: str, child_upos: str, head: int) -> str:
@@ -679,7 +682,7 @@ def xml_sentence_to_conllu(sentence: ET.Element, metadata: dict[str, str]) -> tu
679
  }),
680
  ]
681
  lines.append("\t".join(row))
682
- return text, "\n".join(lines) + "\n", cites
683
 
684
 
685
  def parse_agdt(root: Path, revisions: dict[str, str]) -> tuple[list[Sentence], list[Sentence]]:
@@ -1212,7 +1215,7 @@ def align_verse_blocks(
1212
  "id": line_ids[line_index], "parent_sentence_ids": parent_ids,
1213
  "author": parents[0].author, "work": parents[0].work, "work_id": parents[0].work_id,
1214
  "genre": "verse_metre", "text": line["text"],
1215
- "conllu": "\n\n".join(parent.conllu.strip() for parent in parents) + "\n",
1216
  "cts_urn": parents[0].cts_urn,
1217
  "passage": " | ".join(dict.fromkeys(parent.passage for parent in parents if parent.passage)),
1218
  "alignment_component_id": component_id,
@@ -1387,6 +1390,7 @@ def write_parquet(
1387
 
1388
  def validate(rows_by_config: dict[str, list[dict]]) -> dict:
1389
  report = {}
 
1390
  for config, rows in rows_by_config.items():
1391
  ids = [row["id"] for row in rows]
1392
  dedup = [row["dedup_key"] for row in rows]
@@ -1406,6 +1410,17 @@ def validate(rows_by_config: dict[str, list[dict]]) -> dict:
1406
  assert all(len(row["constituent_ids"]) == row["chunk_size"] for row in rows)
1407
  if base_config == "prose":
1408
  assert len(dedup) == len(set(dedup)), "prose exact-text deduplication failed"
 
 
 
 
 
 
 
 
 
 
 
1409
  report[config] = {
1410
  "rows": len(rows),
1411
  "authors": len({row["author"] for row in rows}),
@@ -1429,6 +1444,8 @@ def validate(rows_by_config: dict[str, list[dict]]) -> dict:
1429
  "unique_ids": True, "prose_exact_text_unique": True,
1430
  "verse_component_exact_coverage": True,
1431
  "fixed_exact_evaluation_chunks": True,
 
 
1432
  }
1433
  return report
1434
 
 
11
  import argparse
12
  import hashlib
13
  import html
14
+ import io
15
  import json
16
  import random
17
  import re
 
30
 
31
  try:
32
  from scripts.dataset_variants import make_dataset_variants, variant_schema
33
+ from scripts.vendor.conll18_ud_eval import UDError, load_conllu
34
  except ModuleNotFoundError: # Direct execution from the scripts directory.
35
  from dataset_variants import make_dataset_variants, variant_schema
36
+ from vendor.conll18_ud_eval import UDError, load_conllu
37
 
38
 
39
  RANDOM_SEED = 776
 
341
  columns[4] = canonical_xpos(columns[3], columns[4], columns[5])
342
  line = "\t".join(columns)
343
  lines.append(line)
344
+ return "\n".join(lines).rstrip("\n") + "\n\n"
345
 
346
 
347
  def canonical_native_deprel(relation: str, child_upos: str, head: int) -> str:
 
682
  }),
683
  ]
684
  lines.append("\t".join(row))
685
+ return text, "\n".join(lines) + "\n\n", cites
686
 
687
 
688
  def parse_agdt(root: Path, revisions: dict[str, str]) -> tuple[list[Sentence], list[Sentence]]:
 
1215
  "id": line_ids[line_index], "parent_sentence_ids": parent_ids,
1216
  "author": parents[0].author, "work": parents[0].work, "work_id": parents[0].work_id,
1217
  "genre": "verse_metre", "text": line["text"],
1218
+ "conllu": "\n\n".join(parent.conllu.strip() for parent in parents) + "\n\n",
1219
  "cts_urn": parents[0].cts_urn,
1220
  "passage": " | ".join(dict.fromkeys(parent.passage for parent in parents if parent.passage)),
1221
  "alignment_component_id": component_id,
 
1390
 
1391
  def validate(rows_by_config: dict[str, list[dict]]) -> dict:
1392
  report = {}
1393
+ checked_conllu = set()
1394
  for config, rows in rows_by_config.items():
1395
  ids = [row["id"] for row in rows]
1396
  dedup = [row["dedup_key"] for row in rows]
 
1410
  assert all(len(row["constituent_ids"]) == row["chunk_size"] for row in rows)
1411
  if base_config == "prose":
1412
  assert len(dedup) == len(set(dedup)), "prose exact-text deduplication failed"
1413
+ for row in rows:
1414
+ digest = hashlib.sha256(row["conllu"].encode("utf-8")).digest()
1415
+ if digest in checked_conllu:
1416
+ continue
1417
+ try:
1418
+ load_conllu(io.StringIO(row["conllu"]))
1419
+ except UDError as error:
1420
+ raise AssertionError(
1421
+ f"Malformed CoNLL-U in {config}, row {row['id']}: {error}"
1422
+ ) from error
1423
+ checked_conllu.add(digest)
1424
  report[config] = {
1425
  "rows": len(rows),
1426
  "authors": len({row["author"] for row in rows}),
 
1444
  "unique_ids": True, "prose_exact_text_unique": True,
1445
  "verse_component_exact_coverage": True,
1446
  "fixed_exact_evaluation_chunks": True,
1447
+ "official_conll18_loader": True,
1448
+ "unique_conllu_documents_checked": len(checked_conllu),
1449
  }
1450
  return report
1451
 
scripts/dataset_variants.py CHANGED
@@ -154,7 +154,7 @@ def _aggregate_chunk(base_config: str, rows: list[dict], target: int, split: str
154
  "text": ("\n" if base_config == "verse_metre" else "\n\n").join(
155
  row["text"].strip() for row in rows
156
  ),
157
- "conllu": "\n\n".join(row["conllu"].strip() for row in rows) + "\n",
158
  "cts_urn": rows[0]["cts_urn"] if len({row["cts_urn"] for row in rows}) == 1 else None,
159
  "passage": (
160
  rows[0]["passage"]
 
154
  "text": ("\n" if base_config == "verse_metre" else "\n\n").join(
155
  row["text"].strip() for row in rows
156
  ),
157
+ "conllu": "\n\n".join(row["conllu"].strip() for row in rows) + "\n\n",
158
  "cts_urn": rows[0]["cts_urn"] if len({row["cts_urn"] for row in rows}) == 1 else None,
159
  "passage": (
160
  rows[0]["passage"]
scripts/validate_dataset.py CHANGED
@@ -4,6 +4,8 @@
4
  from __future__ import annotations
5
 
6
  import argparse
 
 
7
  import json
8
  import re
9
  import unicodedata
@@ -12,6 +14,11 @@ from pathlib import Path
12
 
13
  import pyarrow.parquet as pq
14
 
 
 
 
 
 
15
  try:
16
  from scripts.dataset_variants import (
17
  actual_order_key,
@@ -381,12 +388,38 @@ def validate_combined_conllu(root: Path, parent_conllu: dict[str, str]) -> int:
381
  parquet = pq.ParquetFile(path)
382
  for batch in parquet.iter_batches(columns=["parent_sentence_ids", "conllu"], batch_size=256, use_threads=False):
383
  for row in batch.to_pylist():
384
- expected = "\n\n".join(parent_conllu[parent_id].strip() for parent_id in row["parent_sentence_ids"]) + "\n"
 
 
 
385
  assert row["conllu"] == expected
386
  checked += 1
387
  return checked
388
 
389
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
390
  def main() -> None:
391
  parser = argparse.ArgumentParser()
392
  parser.add_argument("--data", type=Path, default=Path("data"))
@@ -410,10 +443,12 @@ def main() -> None:
410
  checked_lines = validate_provenance_and_verse(args.data)
411
  checked, parent_conllu = validate_conllu(args.data)
412
  checked_combined = validate_combined_conllu(args.data, parent_conllu)
 
413
  print("validated aligned metrical lines", checked_lines)
414
  print("validated cross-sentence metrical lines", crossing_lines)
415
  print("validated CoNLL-U sentences", checked)
416
  print("validated combined metrical CoNLL-U documents", checked_combined)
 
417
  print("all checks passed")
418
 
419
 
 
4
  from __future__ import annotations
5
 
6
  import argparse
7
+ import hashlib
8
+ import io
9
  import json
10
  import re
11
  import unicodedata
 
14
 
15
  import pyarrow.parquet as pq
16
 
17
+ try:
18
+ from scripts.vendor.conll18_ud_eval import UDError, load_conllu
19
+ except ModuleNotFoundError: # Direct execution from the scripts directory.
20
+ from vendor.conll18_ud_eval import UDError, load_conllu
21
+
22
  try:
23
  from scripts.dataset_variants import (
24
  actual_order_key,
 
388
  parquet = pq.ParquetFile(path)
389
  for batch in parquet.iter_batches(columns=["parent_sentence_ids", "conllu"], batch_size=256, use_threads=False):
390
  for row in batch.to_pylist():
391
+ expected = "\n\n".join(
392
+ parent_conllu[parent_id].strip()
393
+ for parent_id in row["parent_sentence_ids"]
394
+ ) + "\n\n"
395
  assert row["conllu"] == expected
396
  checked += 1
397
  return checked
398
 
399
 
400
+ def validate_conllu_with_official_loader(root: Path) -> int:
401
+ checked = set()
402
+ for config in CONFIGS:
403
+ for split in SPLITS:
404
+ path = root / config / f"{split}-00000-of-00001.parquet"
405
+ parquet = pq.ParquetFile(path)
406
+ for batch in parquet.iter_batches(
407
+ columns=["id", "conllu"], batch_size=256, use_threads=False,
408
+ ):
409
+ for row in batch.to_pylist():
410
+ digest = hashlib.sha256(row["conllu"].encode("utf-8")).digest()
411
+ if digest in checked:
412
+ continue
413
+ try:
414
+ load_conllu(io.StringIO(row["conllu"]))
415
+ except UDError as error:
416
+ raise AssertionError(
417
+ f"Malformed CoNLL-U in {config}/{split}, row {row['id']}: {error}"
418
+ ) from error
419
+ checked.add(digest)
420
+ return len(checked)
421
+
422
+
423
  def main() -> None:
424
  parser = argparse.ArgumentParser()
425
  parser.add_argument("--data", type=Path, default=Path("data"))
 
443
  checked_lines = validate_provenance_and_verse(args.data)
444
  checked, parent_conllu = validate_conllu(args.data)
445
  checked_combined = validate_combined_conllu(args.data, parent_conllu)
446
+ checked_official = validate_conllu_with_official_loader(args.data)
447
  print("validated aligned metrical lines", checked_lines)
448
  print("validated cross-sentence metrical lines", crossing_lines)
449
  print("validated CoNLL-U sentences", checked)
450
  print("validated combined metrical CoNLL-U documents", checked_combined)
451
+ print("validated unique CoNLL-U documents with official CoNLL 2018 loader", checked_official)
452
  print("all checks passed")
453
 
454
 
scripts/vendor/conll18_ud_eval.py ADDED
@@ -0,0 +1,203 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/usr/bin/env python
2
+
3
+ # Compatible with Python 2.7 and 3.2+, can be used either as a module
4
+ # or a standalone executable.
5
+ #
6
+ # Copyright 2017, 2018 Institute of Formal and Applied Linguistics (UFAL),
7
+ # Faculty of Mathematics and Physics, Charles University, Czech Republic.
8
+ #
9
+ # This Source Code Form is subject to the terms of the Mozilla Public
10
+ # License, v. 2.0. If a copy of the MPL was not distributed with this
11
+ # file, You can obtain one at http://mozilla.org/MPL/2.0/.
12
+ #
13
+ # Authors: Milan Straka, Martin Popel <surname@ufal.mff.cuni.cz>
14
+ #
15
+ # This file extracts the load_conllu portion of conll18_ud_eval.py from
16
+ # https://github.com/CoNLL-UD-2018/UDPipe-Future (version 1.1), with formatting
17
+ # changes only and without the unrelated scoring and command-line code.
18
+
19
+ from __future__ import division
20
+ from __future__ import print_function
21
+
22
+ import sys
23
+ import unicodedata
24
+
25
+
26
+ # CoNLL-U column names
27
+ ID, FORM, LEMMA, UPOS, XPOS, FEATS, HEAD, DEPREL, DEPS, MISC = range(10)
28
+
29
+ # Content and functional relations
30
+ CONTENT_DEPRELS = {
31
+ "nsubj", "obj", "iobj", "csubj", "ccomp", "xcomp", "obl", "vocative",
32
+ "expl", "dislocated", "advcl", "advmod", "discourse", "nmod", "appos",
33
+ "nummod", "acl", "amod", "conj", "fixed", "flat", "compound", "list",
34
+ "parataxis", "orphan", "goeswith", "reparandum", "root", "dep"
35
+ }
36
+
37
+ FUNCTIONAL_DEPRELS = {
38
+ "aux", "cop", "mark", "det", "clf", "case", "cc"
39
+ }
40
+
41
+ UNIVERSAL_FEATURES = {
42
+ "PronType", "NumType", "Poss", "Reflex", "Foreign", "Abbr", "Gender",
43
+ "Animacy", "Number", "Case", "Definite", "Degree", "VerbForm", "Mood",
44
+ "Tense", "Aspect", "Voice", "Evident", "Polarity", "Person", "Polite"
45
+ }
46
+
47
+
48
+ # UD Error is used when raising exceptions in this module
49
+ class UDError(Exception):
50
+ pass
51
+
52
+
53
+ # Load given CoNLL-U file into internal representation
54
+ def load_conllu(file):
55
+ # Internal representation classes
56
+ class UDRepresentation:
57
+ def __init__(self):
58
+ self.characters = []
59
+ self.tokens = []
60
+ self.words = []
61
+ self.sentences = []
62
+
63
+ class UDSpan:
64
+ def __init__(self, start, end):
65
+ self.start = start
66
+ self.end = end
67
+
68
+ class UDWord:
69
+ def __init__(self, span, columns, is_multiword):
70
+ self.span = span
71
+ self.columns = columns
72
+ self.is_multiword = is_multiword
73
+ self.parent = None
74
+ self.functional_children = []
75
+ self.columns[FEATS] = "|".join(sorted(
76
+ feat for feat in columns[FEATS].split("|")
77
+ if feat.split("=", 1)[0] in UNIVERSAL_FEATURES
78
+ ))
79
+ self.columns[DEPREL] = columns[DEPREL].split(":")[0]
80
+ self.is_content_deprel = self.columns[DEPREL] in CONTENT_DEPRELS
81
+ self.is_functional_deprel = self.columns[DEPREL] in FUNCTIONAL_DEPRELS
82
+
83
+ ud = UDRepresentation()
84
+
85
+ # Load the CoNLL-U file
86
+ index, sentence_start = 0, None
87
+ while True:
88
+ line = file.readline()
89
+ if not line:
90
+ break
91
+ line = line.rstrip("\r\n")
92
+
93
+ # Handle sentence start boundaries
94
+ if sentence_start is None:
95
+ # Skip comments
96
+ if line.startswith("#"):
97
+ continue
98
+ # Start a new sentence
99
+ ud.sentences.append(UDSpan(index, 0))
100
+ sentence_start = len(ud.words)
101
+ if not line:
102
+ # Add parent and children UDWord links and check there are no cycles
103
+ def process_word(word):
104
+ if word.parent == "remapping":
105
+ raise UDError("There is a cycle in a sentence")
106
+ if word.parent is None:
107
+ head = int(word.columns[HEAD])
108
+ if head < 0 or head > len(ud.words) - sentence_start:
109
+ raise UDError("HEAD '{}' points outside of the sentence".format(word.columns[HEAD]))
110
+ if head:
111
+ parent = ud.words[sentence_start + head - 1]
112
+ word.parent = "remapping"
113
+ process_word(parent)
114
+ word.parent = parent
115
+
116
+ for word in ud.words[sentence_start:]:
117
+ process_word(word)
118
+ # func_children cannot be assigned within process_word because it is
119
+ # called recursively and may result in adding one child twice.
120
+ for word in ud.words[sentence_start:]:
121
+ if word.parent and word.is_functional_deprel:
122
+ word.parent.functional_children.append(word)
123
+
124
+ # Check there is a single root node
125
+ if len([word for word in ud.words[sentence_start:] if word.parent is None]) != 1:
126
+ raise UDError("There are multiple roots in a sentence")
127
+
128
+ # End the sentence
129
+ ud.sentences[-1].end = index
130
+ sentence_start = None
131
+ continue
132
+
133
+ # Read next token/word
134
+ columns = line.split("\t")
135
+ if len(columns) != 10:
136
+ raise UDError(
137
+ "The CoNLL-U line does not contain 10 tab-separated columns: '{}'".format(line)
138
+ )
139
+
140
+ # Skip empty nodes
141
+ if "." in columns[ID]:
142
+ continue
143
+
144
+ # Delete spaces from FORM, so gold.characters == system.characters even
145
+ # if one of them tokenizes the space. Use Unicode category Zs.
146
+ if sys.version_info < (3, 0) and isinstance(line, str):
147
+ columns[FORM] = columns[FORM].decode("utf-8")
148
+ columns[FORM] = "".join(filter(
149
+ lambda c: unicodedata.category(c) != "Zs", columns[FORM]
150
+ ))
151
+ if sys.version_info < (3, 0) and isinstance(line, str):
152
+ columns[FORM] = columns[FORM].encode("utf-8")
153
+ if not columns[FORM]:
154
+ raise UDError("There is an empty FORM in the CoNLL-U file")
155
+
156
+ # Save token
157
+ ud.characters.extend(columns[FORM])
158
+ ud.tokens.append(UDSpan(index, index + len(columns[FORM])))
159
+ index += len(columns[FORM])
160
+
161
+ # Handle multi-word tokens to save word(s)
162
+ if "-" in columns[ID]:
163
+ try:
164
+ start, end = map(int, columns[ID].split("-"))
165
+ except:
166
+ raise UDError("Cannot parse multi-word token ID '{}'".format(columns[ID]))
167
+
168
+ for _ in range(start, end + 1):
169
+ word_line = file.readline().rstrip("\r\n")
170
+ word_columns = word_line.split("\t")
171
+ if len(word_columns) != 10:
172
+ raise UDError(
173
+ "The CoNLL-U line does not contain 10 tab-separated columns: '{}'".format(
174
+ word_line
175
+ )
176
+ )
177
+ ud.words.append(UDWord(ud.tokens[-1], word_columns, is_multiword=True))
178
+ # Basic tokens/words
179
+ else:
180
+ try:
181
+ word_id = int(columns[ID])
182
+ except:
183
+ raise UDError("Cannot parse word ID '{}'".format(columns[ID]))
184
+ if word_id != len(ud.words) - sentence_start + 1:
185
+ raise UDError(
186
+ "Incorrect word ID '{}' for word '{}', expected '{}'".format(
187
+ columns[ID], columns[FORM], len(ud.words) - sentence_start + 1
188
+ )
189
+ )
190
+
191
+ try:
192
+ head_id = int(columns[HEAD])
193
+ except:
194
+ raise UDError("Cannot parse HEAD '{}'".format(columns[HEAD]))
195
+ if head_id < 0:
196
+ raise UDError("HEAD cannot be negative")
197
+
198
+ ud.words.append(UDWord(ud.tokens[-1], columns, is_multiword=False))
199
+
200
+ if sentence_start is not None:
201
+ raise UDError("The CoNLL-U file does not end with empty line")
202
+
203
+ return ud
tests/test_conllu_well_formed.py ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import hashlib
2
+ import io
3
+ from pathlib import Path
4
+
5
+ import pyarrow.parquet as pq
6
+
7
+ from scripts.vendor.conll18_ud_eval import UDError, load_conllu
8
+
9
+
10
+ DATA_ROOT = Path(__file__).resolve().parents[1] / "data"
11
+ CONFIGS = tuple(
12
+ f"{base}_{suffix}"
13
+ for base in ("prose", "verse_sentence", "verse_metre")
14
+ for suffix in ("1", "10", "100")
15
+ )
16
+
17
+
18
+ def test_all_conllu_documents_load_with_official_conll18_parser() -> None:
19
+ """Require every distinct published treebank document to parse as CoNLL-U."""
20
+ checked = set()
21
+ for config in CONFIGS:
22
+ for split in ("train", "validation", "test"):
23
+ path = DATA_ROOT / config / f"{split}-00000-of-00001.parquet"
24
+ parquet = pq.ParquetFile(path)
25
+ for batch in parquet.iter_batches(
26
+ columns=["id", "conllu"], batch_size=256, use_threads=False,
27
+ ):
28
+ for row in batch.to_pylist():
29
+ digest = hashlib.sha256(row["conllu"].encode("utf-8")).digest()
30
+ if digest in checked:
31
+ continue
32
+ try:
33
+ load_conllu(io.StringIO(row["conllu"]))
34
+ except UDError as error:
35
+ raise AssertionError(
36
+ f"Malformed CoNLL-U in {config}/{split}, row {row['id']}: {error}"
37
+ ) from error
38
+ checked.add(digest)
39
+
40
+ assert checked