Datasets:
Refactor: Rename and simplify README generation script
Browse files- Renamed 03_fill_universal_dependencies_tamplate.py to 03_generate_README.py
- Script now only generates README-{UD_VER}, not universal_dependencies-{UD_VER}
- Removed templates/universal_dependencies.tmpl (no longer needed)
- Updated docstring to reflect new focused purpose
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
tools/{03_fill_universal_dependencies_tamplate.py → 03_generate_README.py}
RENAMED
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# ]
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# ///
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"""
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"""
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import json
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@@ -54,22 +54,19 @@ if __name__ == '__main__':
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with Path(basepath, "etc", f"citation-{UD_VER}").open(mode='r') as fh:
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citation = (fh.read()).strip()
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Path(basepath, "templates", "README.tmpl"):
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Path(basepath, f"README-{UD_VER}"),
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}
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for template_fn, output_fn in templates.items():
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if args.override or not Path(output_fn).exists():
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with template_fn.open(mode='r') as fh:
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template = jinja2.Template(fh.read())
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# ]
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# ///
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"""
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Generate README-{UD_VER} from templates/README.tmpl using metadata-{UD_VER}.json.
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"""
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import json
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with Path(basepath, "etc", f"citation-{UD_VER}").open(mode='r') as fh:
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citation = (fh.read()).strip()
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# Generate README from template
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template_fn = Path(basepath, "templates", "README.tmpl")
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output_fn = Path(basepath, f"README-{UD_VER}")
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if args.override or not output_fn.exists():
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with template_fn.open(mode='r') as fh:
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template = jinja2.Template(fh.read())
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with output_fn.open(mode='w') as fh:
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output = template.render(citation=citation,
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description=description,
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data=metadata, ud_ver=UD_VER,)
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fh.write(output)
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print(f"{output_fn} written")
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else:
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logging.info(f"Output {output_fn} already exists: Not overriding.")
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tools/templates/universal_dependencies.tmpl
DELETED
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@@ -1,683 +0,0 @@
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### THIS IS A GENERATED FILE.
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from dataclasses import dataclass
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from typing import Dict, Optional
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import conllu
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import datasets
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# Helper functions for parsing CoNLL-U format fields
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def parse_feats(feats_str: Optional[str]) -> Dict[str, str]:
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"""
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Parse CoNLL-U FEATS field string to dictionary.
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Args:
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feats_str: CoNLL-U format string like "Case=Nom|Number=Sing" or None
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Returns:
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Dictionary mapping feature names to values, empty dict if None
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Example:
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>>> parse_feats("Case=Nom|Number=Sing")
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{'Case': 'Nom', 'Number': 'Sing'}
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>>> parse_feats(None)
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{}
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"""
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if feats_str is None:
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return {}
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return dict(kv.split('=', 1) for kv in feats_str.split('|'))
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def parse_deps(deps_str: Optional[str]) -> Dict[str, str]:
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"""
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Parse CoNLL-U DEPS field string to dictionary.
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Args:
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deps_str: CoNLL-U enhanced dependencies format like "4:nsubj|6:nsubj" or None
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Returns:
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Dictionary mapping head indices to dependency relations, empty dict if None
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Example:
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>>> parse_deps("4:nsubj|6:nsubj")
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{'4': 'nsubj', '6': 'nsubj'}
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>>> parse_deps(None)
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{}
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"""
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if deps_str is None:
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return {}
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return dict(kv.split(':', 1) for kv in deps_str.split('|'))
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def parse_misc(misc_str: Optional[str]) -> Dict[str, str]:
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"""
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Parse CoNLL-U MISC field string to dictionary.
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Args:
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misc_str: CoNLL-U format string like "SpaceAfter=No|Translit=yes" or None
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Returns:
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Dictionary mapping misc attribute names to values, empty dict if None
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Example:
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>>> parse_misc("SpaceAfter=No")
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{'SpaceAfter': 'No'}
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>>> parse_misc(None)
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{}
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"""
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if misc_str is None:
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return {}
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return dict(kv.split('=', 1) for kv in misc_str.split('|'))
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def example_to_conllu(example: Dict, upos_names: Optional[list] = None) -> str:
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"""
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Convert a single dataset example back to CoNLL-U format.
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Args:
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example: Dataset example (sentence) with all fields
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upos_names: Optional list of UPOS label names for ClassLabel conversion
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Returns:
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CoNLL-U formatted string for this sentence
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Example:
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>>> from datasets import load_dataset
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>>> ds = load_dataset("commul/universal_dependencies", "en_ewt", split="train")
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>>> conllu_str = example_to_conllu(ds[0])
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>>> print(conllu_str)
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# newdoc id = ...
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# sent_id = ...
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# text = ...
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1 The ...
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<BLANKLINE>
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"""
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lines = []
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# Add metadata in original order (comments list contains markers for sent_id and text positions)
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for comment in example.get('comments', []):
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if comment == "__SENT_ID__":
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lines.append(f"# sent_id = {example['sent_id']}")
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elif comment == "__TEXT__":
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lines.append(f"# text = {example['text']}")
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else:
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lines.append(f"# {comment}")
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# Parse MWT ranges to know when to insert them
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mwt_ranges = {}
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for mwt in example.get('mwt', []):
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mwt_id = mwt['id'] # e.g., "1-2"
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if '-' in mwt_id:
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start, _ = mwt_id.split('-')
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mwt_ranges[int(start)] = mwt
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# Parse empty node positions
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empty_nodes_dict = {}
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for empty_node in example.get('empty_nodes', []):
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try:
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node_id = float(empty_node['id'])
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if node_id not in empty_nodes_dict:
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empty_nodes_dict[node_id] = []
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empty_nodes_dict[node_id].append(empty_node)
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except (ValueError, KeyError):
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pass
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def _get_en_fields(empty_node):
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en_fields = [
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empty_node.get('id', '_'),
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empty_node.get('form', '_'),
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empty_node.get('lemma', '_'),
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empty_node.get('upos', '_'),
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empty_node.get('xpos') or '_',
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empty_node.get('feats') or '_',
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empty_node.get('head', '_'),
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empty_node.get('deprel', '_'),
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empty_node.get('deps') or '_',
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empty_node.get('misc') or '_',
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]
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return en_fields
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# Insert empty nodes that come before token 1 (e.g., 0.1, 0.2)
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for node_id in sorted(empty_nodes_dict.keys()):
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if node_id < 1:
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for empty_node in empty_nodes_dict[node_id]:
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en_fields = _get_en_fields(empty_node)
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lines.append('\t'.join(en_fields))
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# Build token lines
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token_idx = 1
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for i in range(len(example['tokens'])):
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# Insert MWT line before this token if needed
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if token_idx in mwt_ranges:
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mwt = mwt_ranges[token_idx]
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feats = mwt.get('feats') or '_'
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misc = mwt.get('misc') or '_'
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lines.append(f"{mwt['id']}\t{mwt['form']}\t_\t_\t_\t{feats}\t_\t_\t_\t{misc}")
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# Convert UPOS from ClassLabel index to string if needed
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upos_value = example['upos'][i]
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if isinstance(upos_value, int) and upos_names:
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upos_value = upos_names[upos_value]
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# Build token line
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fields = [
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str(token_idx),
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str(example['tokens'][i]),
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str(example['lemmas'][i]),
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str(upos_value),
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str(example['xpos'][i] or '_'),
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str(example['feats'][i] or '_'),
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str(example['head'][i]),
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str(example['deprel'][i]),
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str(example['deps'][i] or '_'),
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str(example['misc'][i] or '_'),
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]
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lines.append('\t'.join(fields))
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# Insert empty nodes after this token if needed (e.g., 22.1 after token 22)
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for node_id in sorted(empty_nodes_dict.keys()):
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if int(node_id) == token_idx:
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for empty_node in empty_nodes_dict[node_id]:
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en_fields = _get_en_fields(empty_node)
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lines.append('\t'.join(en_fields))
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token_idx += 1
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# Add blank line after sentence per UD spec
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return '\n'.join(lines) + '\n\n'
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def write_conllu(dataset, output=None, split=None):
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"""
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Write dataset back to CoNLL-U format.
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Args:
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dataset: Dataset or DatasetDict to write
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output: Output destination (default: stdout):
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- None: write to stdout
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- str/Path: write to file path
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- file-like object: write to buffer/stream
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split: For DatasetDict, which split to write (default: all splits)
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Returns:
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None
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Example:
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>>> from datasets import load_dataset
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>>> ds = load_dataset("commul/universal_dependencies", "en_ewt", split="train")
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>>>
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>>> # Write to stdout
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>>> write_conllu(ds)
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>>>
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>>> # Write to file
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>>> write_conllu(ds, "output.conllu")
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>>>
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>>> # Write to buffer
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>>> import io
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>>> buffer = io.StringIO()
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>>> write_conllu(ds, buffer)
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>>> conllu_text = buffer.getvalue()
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"""
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import sys
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from pathlib import Path
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# Handle DatasetDict
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if hasattr(dataset, 'keys'): # DatasetDict
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if split:
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# Write specific split
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if split not in dataset:
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raise ValueError(f"Split '{split}' not found. Available: {list(dataset.keys())}")
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dataset = dataset[split]
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else:
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# Write all splits
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for split_name, split_dataset in dataset.items():
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if output is None:
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print(f"# Split: {split_name}", file=sys.stderr)
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write_conllu(split_dataset, output, split=None)
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return
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# Get UPOS names if available
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upos_names = None
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if hasattr(dataset, 'features') and 'upos' in dataset.features:
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upos_feature = dataset.features['upos']
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if hasattr(upos_feature, 'feature') and hasattr(upos_feature.feature, 'names'):
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upos_names = upos_feature.feature.names
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# Determine output stream
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if output is None:
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# Write to stdout
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stream = sys.stdout
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close_after = False
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elif isinstance(output, (str, Path)):
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# Write to file
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stream = open(output, 'w', encoding='utf-8')
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close_after = True
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else:
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# Assume file-like object
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stream = output
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close_after = False
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try:
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# Write each example
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for example in dataset:
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conllu_str = example_to_conllu(example, upos_names=upos_names)
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stream.write(conllu_str)
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stream.write('\n') # Extra newline between sentences
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finally:
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if close_after:
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stream.close()
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_CITATION = r"""\
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{{ citation }}
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""" # noqa: W605
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_DESCRIPTION = """\
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{{ description }}
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"""
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_NAMES = [
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{%- for name,metadata in data.items()|sort(attribute='1.dirname') %}
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"{{ name }}",
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{%- endfor %}
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]
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_DESCRIPTIONS = {
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{%- for name,metadata in data.items()|sort(attribute='1.dirname') %}
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"{{ name }}": """{{ metadata.summary }}""",
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{%- endfor %}
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}
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_LICENSES = {
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{%- for name,metadata in data.items()|sort(attribute='1.dirname') %}
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"{{ name }}": "{{ metadata.license }}",
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{%- endfor %}
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}
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_PREFIX = "https://raw.githubusercontent.com/UniversalDependencies/"
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_UD_DATASETS = {
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{%- for name,metadata in data.items()|sort(attribute='1.dirname') %}
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"{{ name }}": {
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{%- for fileset_split_name,fileset_split_data in metadata.splits.items() %}
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"{{ fileset_split_name }}": {{ fileset_split_data.files }},
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{%- endfor %}
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},
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{%- endfor %}
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}
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@dataclass
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class UniversalDependenciesConfig(datasets.BuilderConfig):
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"""BuilderConfig for Universal Dependencies"""
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def __init__(self, name: str, **kwargs):
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super().__init__(name, version=datasets.Version("{{ ud_ver }}.0"), **kwargs)
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class UniversalDependencies(datasets.GeneratorBasedBuilder):
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"""Universal Dependencies Datasets"""
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BUILDER_CONFIGS = [
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UniversalDependenciesConfig(
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name=name,
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)
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for name in _NAMES
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]
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BUILDER_CONFIG_CLASS = UniversalDependenciesConfig
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def _info(self):
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return datasets.DatasetInfo(
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homepage=f"https://github.com/UniversalDependencies/" + _UD_DATASETS[self.config.name]["test"][0].split("/")[0],
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description=_DESCRIPTIONS[self.config.name],
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citation=None, # would need to be the dataset specific citation
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| 336 |
-
license=_LICENSES[self.config.name],
|
| 337 |
-
features=datasets.Features(
|
| 338 |
-
{
|
| 339 |
-
"sent_id": datasets.Value("string"),
|
| 340 |
-
"text": datasets.Value("string"),
|
| 341 |
-
"comments": datasets.Sequence(datasets.Value("string")),
|
| 342 |
-
"tokens": datasets.Sequence(datasets.Value("string")),
|
| 343 |
-
"lemmas": datasets.Sequence(datasets.Value("string")),
|
| 344 |
-
"upos": datasets.Sequence(
|
| 345 |
-
datasets.features.ClassLabel(
|
| 346 |
-
names=[
|
| 347 |
-
"NOUN",
|
| 348 |
-
"PUNCT",
|
| 349 |
-
"ADP",
|
| 350 |
-
"NUM",
|
| 351 |
-
"SYM",
|
| 352 |
-
"SCONJ",
|
| 353 |
-
"ADJ",
|
| 354 |
-
"PART",
|
| 355 |
-
"DET",
|
| 356 |
-
"CCONJ",
|
| 357 |
-
"PROPN",
|
| 358 |
-
"PRON",
|
| 359 |
-
"X",
|
| 360 |
-
"_",
|
| 361 |
-
"ADV",
|
| 362 |
-
"INTJ",
|
| 363 |
-
"VERB",
|
| 364 |
-
"AUX",
|
| 365 |
-
]
|
| 366 |
-
)
|
| 367 |
-
),
|
| 368 |
-
"xpos": datasets.Sequence(datasets.Value("string")),
|
| 369 |
-
"feats": datasets.Sequence(datasets.Value("string")),
|
| 370 |
-
"head": datasets.Sequence(datasets.Value("string")),
|
| 371 |
-
"deprel": datasets.Sequence(datasets.Value("string")),
|
| 372 |
-
"deps": datasets.Sequence(datasets.Value("string")),
|
| 373 |
-
"misc": datasets.Sequence(datasets.Value("string")),
|
| 374 |
-
"mwt": datasets.Sequence(
|
| 375 |
-
{
|
| 376 |
-
"id": datasets.Value("string"),
|
| 377 |
-
"form": datasets.Value("string"),
|
| 378 |
-
"feats": datasets.Value("string"),
|
| 379 |
-
"misc": datasets.Value("string"),
|
| 380 |
-
}
|
| 381 |
-
),
|
| 382 |
-
"empty_nodes": datasets.Sequence(
|
| 383 |
-
{
|
| 384 |
-
"id": datasets.Value("string"),
|
| 385 |
-
"form": datasets.Value("string"),
|
| 386 |
-
"lemma": datasets.Value("string"),
|
| 387 |
-
"upos": datasets.Value("string"),
|
| 388 |
-
"xpos": datasets.Value("string"),
|
| 389 |
-
"feats": datasets.Value("string"),
|
| 390 |
-
"head": datasets.Value("string"),
|
| 391 |
-
"deprel": datasets.Value("string"),
|
| 392 |
-
"deps": datasets.Value("string"),
|
| 393 |
-
"misc": datasets.Value("string"),
|
| 394 |
-
}
|
| 395 |
-
),
|
| 396 |
-
}
|
| 397 |
-
),
|
| 398 |
-
supervised_keys=None,
|
| 399 |
-
)
|
| 400 |
-
|
| 401 |
-
def _split_generators(self, dl_manager):
|
| 402 |
-
"""Returns SplitGenerators."""
|
| 403 |
-
urls_to_download = {}
|
| 404 |
-
for split, address in _UD_DATASETS[self.config.name].items():
|
| 405 |
-
urls_to_download[split] = []
|
| 406 |
-
if isinstance(address, list):
|
| 407 |
-
for add in address:
|
| 408 |
-
urls_to_download[split].append(_PREFIX + add)
|
| 409 |
-
else:
|
| 410 |
-
urls_to_download[split].append(_PREFIX + address)
|
| 411 |
-
|
| 412 |
-
downloaded_files = dl_manager.download_and_extract(urls_to_download)
|
| 413 |
-
splits = []
|
| 414 |
-
|
| 415 |
-
if "train" in downloaded_files:
|
| 416 |
-
splits.append(
|
| 417 |
-
datasets.SplitGenerator(
|
| 418 |
-
name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]})
|
| 419 |
-
)
|
| 420 |
-
|
| 421 |
-
if "dev" in downloaded_files:
|
| 422 |
-
splits.append(
|
| 423 |
-
datasets.SplitGenerator(
|
| 424 |
-
name=datasets.Split("dev"), gen_kwargs={"filepath": downloaded_files["dev"]}
|
| 425 |
-
)
|
| 426 |
-
)
|
| 427 |
-
|
| 428 |
-
if "test" in downloaded_files:
|
| 429 |
-
splits.append(
|
| 430 |
-
datasets.SplitGenerator(
|
| 431 |
-
name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]})
|
| 432 |
-
)
|
| 433 |
-
|
| 434 |
-
return splits
|
| 435 |
-
|
| 436 |
-
def _conllu_dict_to_string(self, value):
|
| 437 |
-
"""
|
| 438 |
-
Convert CoNLL-U field value to standard CoNLL-U string format.
|
| 439 |
-
Used for reconstruction/output.
|
| 440 |
-
"""
|
| 441 |
-
if value is None:
|
| 442 |
-
return "_"
|
| 443 |
-
if isinstance(value, dict):
|
| 444 |
-
if not value:
|
| 445 |
-
return "_"
|
| 446 |
-
# Convert dict to CoNLL-U format: Key=Value|Key2=Value2
|
| 447 |
-
items = [f"{k}={v}" for k, v in sorted(value.items())]
|
| 448 |
-
return "|".join(items)
|
| 449 |
-
s = str(value)
|
| 450 |
-
if s == "None":
|
| 451 |
-
return "_"
|
| 452 |
-
return s
|
| 453 |
-
|
| 454 |
-
def _conllu_optional_field(self, value):
|
| 455 |
-
"""
|
| 456 |
-
Convert CoNLL-U optional field value to Python representation.
|
| 457 |
-
Returns None for unspecified values (_), proper format otherwise.
|
| 458 |
-
|
| 459 |
-
Use for: XPOS, FEATS, DEPS, MISC (optional fields per UD spec)
|
| 460 |
-
"""
|
| 461 |
-
if value is None:
|
| 462 |
-
return None
|
| 463 |
-
if isinstance(value, dict):
|
| 464 |
-
if not value:
|
| 465 |
-
return None # Empty dict = no features
|
| 466 |
-
# Convert dict to CoNLL-U format: Key=Value|Key2=Value2
|
| 467 |
-
items = [f"{k}={v}" for k, v in sorted(value.items())]
|
| 468 |
-
return "|".join(items)
|
| 469 |
-
# String value
|
| 470 |
-
s = str(value)
|
| 471 |
-
if s == "None" or s == "_" or s == "":
|
| 472 |
-
return None
|
| 473 |
-
return s
|
| 474 |
-
|
| 475 |
-
def _extract_raw_fields(self, sentence_text):
|
| 476 |
-
"""Extract raw FEATS, XPOS, DEPS, and MISC fields to bypass conllu parsing bugs."""
|
| 477 |
-
raw_fields = {}
|
| 478 |
-
|
| 479 |
-
for line in sentence_text.split('\n'):
|
| 480 |
-
line = line.strip()
|
| 481 |
-
if not line or line.startswith('#'):
|
| 482 |
-
continue
|
| 483 |
-
|
| 484 |
-
fields = line.split('\t')
|
| 485 |
-
if len(fields) < 10:
|
| 486 |
-
continue
|
| 487 |
-
|
| 488 |
-
token_id = fields[0]
|
| 489 |
-
xpos = fields[4] if fields[4] != '_' else None
|
| 490 |
-
feats = fields[5] if fields[5] != '_' else None
|
| 491 |
-
deps = fields[8] if fields[8] != '_' else None
|
| 492 |
-
misc = fields[9] if fields[9] != '_' else None
|
| 493 |
-
|
| 494 |
-
raw_fields[token_id] = {
|
| 495 |
-
'xpos': xpos,
|
| 496 |
-
'feats': feats,
|
| 497 |
-
'deps': deps,
|
| 498 |
-
'misc': misc
|
| 499 |
-
}
|
| 500 |
-
|
| 501 |
-
return raw_fields
|
| 502 |
-
|
| 503 |
-
def _extract_raw_comments(self, sentence_text):
|
| 504 |
-
"""Extract raw comment lines to preserve duplicates and empty values."""
|
| 505 |
-
comments = []
|
| 506 |
-
sent_id = None
|
| 507 |
-
text = None
|
| 508 |
-
|
| 509 |
-
for line in sentence_text.split('\n'):
|
| 510 |
-
line = line.strip()
|
| 511 |
-
if not line.startswith('#'):
|
| 512 |
-
continue
|
| 513 |
-
|
| 514 |
-
comment_content = line[1:].strip()
|
| 515 |
-
if not comment_content:
|
| 516 |
-
continue
|
| 517 |
-
|
| 518 |
-
if ' = ' in comment_content:
|
| 519 |
-
key, value = comment_content.split(' = ', 1)
|
| 520 |
-
key = key.strip()
|
| 521 |
-
value = value.strip()
|
| 522 |
-
|
| 523 |
-
if key == 'sent_id':
|
| 524 |
-
sent_id = value
|
| 525 |
-
comments.append("__SENT_ID__")
|
| 526 |
-
elif key == 'text':
|
| 527 |
-
text = value
|
| 528 |
-
comments.append("__TEXT__")
|
| 529 |
-
else:
|
| 530 |
-
# Preserve raw format including empty values
|
| 531 |
-
if value:
|
| 532 |
-
comments.append(f"{key} = {value}")
|
| 533 |
-
else:
|
| 534 |
-
comments.append(f"{key} =")
|
| 535 |
-
else:
|
| 536 |
-
# Comment without = (like "newpar" or "# newpar")
|
| 537 |
-
comments.append(comment_content)
|
| 538 |
-
|
| 539 |
-
return comments, sent_id, text
|
| 540 |
-
|
| 541 |
-
def _generate_examples(self, filepath):
|
| 542 |
-
id = 0
|
| 543 |
-
for path in filepath:
|
| 544 |
-
# Read raw file for comment extraction
|
| 545 |
-
with open(path, "r", encoding="utf-8") as f:
|
| 546 |
-
file_content = f.read()
|
| 547 |
-
sentence_blocks = file_content.split('\n\n')
|
| 548 |
-
|
| 549 |
-
with open(path, "r", encoding="utf-8") as data_file:
|
| 550 |
-
tokenlist = list(conllu.parse_incr(data_file))
|
| 551 |
-
for idx, sent in enumerate(tokenlist):
|
| 552 |
-
# Extract raw comments and fields from original text
|
| 553 |
-
if idx < len(sentence_blocks):
|
| 554 |
-
comments, sent_id, text = self._extract_raw_comments(sentence_blocks[idx])
|
| 555 |
-
raw_fields = self._extract_raw_fields(sentence_blocks[idx])
|
| 556 |
-
else:
|
| 557 |
-
comments = []
|
| 558 |
-
sent_id = None
|
| 559 |
-
text = None
|
| 560 |
-
raw_fields = {}
|
| 561 |
-
|
| 562 |
-
# Fallback to conllu metadata if needed
|
| 563 |
-
if sent_id is None:
|
| 564 |
-
if "sent_id" in sent.metadata:
|
| 565 |
-
sent_id = sent.metadata["sent_id"]
|
| 566 |
-
else:
|
| 567 |
-
sent_id = str(id)
|
| 568 |
-
|
| 569 |
-
if text is None and "text" in sent.metadata:
|
| 570 |
-
text = sent.metadata["text"]
|
| 571 |
-
|
| 572 |
-
# Note: comments and raw fields extracted from raw file, bypassing conllu bugs
|
| 573 |
-
|
| 574 |
-
# Extract Multi-Word Tokens (MWTs) - tokens with tuple IDs like (1, '-', 2)
|
| 575 |
-
# Note: Exclude empty nodes which have '.' as middle element: (22, '.', 1)
|
| 576 |
-
# Per UD spec: MWTs can have ID, FORM, MISC, and optionally FEATS (for "Typo=Yes")
|
| 577 |
-
mwts = []
|
| 578 |
-
for token in sent:
|
| 579 |
-
if isinstance(token["id"], tuple) and len(token["id"]) == 3 and token["id"][1] == '-':
|
| 580 |
-
# MWT line (e.g., (1, '-', 2) for "1-2")
|
| 581 |
-
mwt_id = f"{token['id'][0]}-{token['id'][2]}"
|
| 582 |
-
|
| 583 |
-
# Use raw fields if available (bypasses conllu parsing bugs)
|
| 584 |
-
if mwt_id in raw_fields:
|
| 585 |
-
feats = raw_fields[mwt_id]['feats']
|
| 586 |
-
misc = raw_fields[mwt_id]['misc']
|
| 587 |
-
else:
|
| 588 |
-
# Fallback to conllu parsed values
|
| 589 |
-
feats = self._conllu_optional_field(token["feats"])
|
| 590 |
-
misc = self._conllu_optional_field(token["misc"])
|
| 591 |
-
|
| 592 |
-
mwts.append({
|
| 593 |
-
"id": mwt_id,
|
| 594 |
-
"form": token["form"],
|
| 595 |
-
"feats": feats,
|
| 596 |
-
"misc": misc
|
| 597 |
-
})
|
| 598 |
-
|
| 599 |
-
# Extract Empty Nodes - tokens with decimal IDs like 22.1
|
| 600 |
-
# These are represented as tuples: (22, '.', 1)
|
| 601 |
-
empty_nodes = []
|
| 602 |
-
for token in sent:
|
| 603 |
-
if isinstance(token["id"], tuple) and len(token["id"]) == 3 and token["id"][1] == '.':
|
| 604 |
-
# Empty node (e.g., (22, '.', 1) for ID "22.1")
|
| 605 |
-
empty_node_id = f"{token['id'][0]}.{token['id'][2]}"
|
| 606 |
-
|
| 607 |
-
# Use raw fields if available (bypasses conllu parsing bugs)
|
| 608 |
-
if empty_node_id in raw_fields:
|
| 609 |
-
xpos = raw_fields[empty_node_id]['xpos']
|
| 610 |
-
feats = raw_fields[empty_node_id]['feats']
|
| 611 |
-
deps = raw_fields[empty_node_id]['deps']
|
| 612 |
-
misc = raw_fields[empty_node_id]['misc']
|
| 613 |
-
else:
|
| 614 |
-
# Fallback to conllu parsed values
|
| 615 |
-
xpos = token["xpos"] or None
|
| 616 |
-
feats = self._conllu_dict_to_string(token["feats"])
|
| 617 |
-
deps = self._conllu_dict_to_string(token["deps"])
|
| 618 |
-
misc = self._conllu_dict_to_string(token["misc"])
|
| 619 |
-
|
| 620 |
-
empty_nodes.append({
|
| 621 |
-
"id": empty_node_id,
|
| 622 |
-
"form": token["form"],
|
| 623 |
-
"lemma": token["lemma"] or "_",
|
| 624 |
-
"upos": token["upos"] or "_",
|
| 625 |
-
"xpos": xpos or "_",
|
| 626 |
-
"feats": feats,
|
| 627 |
-
"head": str(token["head"]) if token["head"] is not None else "_",
|
| 628 |
-
"deprel": str(token["deprel"]) if token["deprel"] else "_",
|
| 629 |
-
"deps": deps,
|
| 630 |
-
"misc": misc
|
| 631 |
-
})
|
| 632 |
-
|
| 633 |
-
# Filter to syntactic words only (exclude MWTs and empty nodes)
|
| 634 |
-
sent_filtered = sent.filter(id=lambda x: type(x) is int)
|
| 635 |
-
|
| 636 |
-
tokens = [token["form"] for token in sent_filtered]
|
| 637 |
-
|
| 638 |
-
# If text wasn't in metadata, reconstruct from tokens
|
| 639 |
-
if text is None:
|
| 640 |
-
text = " ".join(tokens)
|
| 641 |
-
|
| 642 |
-
# Extract fields for regular tokens, using raw fields when available
|
| 643 |
-
xpos_list = []
|
| 644 |
-
feats_list = []
|
| 645 |
-
deps_list = []
|
| 646 |
-
misc_list = []
|
| 647 |
-
|
| 648 |
-
for token in sent_filtered:
|
| 649 |
-
token_id = str(token["id"])
|
| 650 |
-
|
| 651 |
-
# Use raw fields if available (bypasses conllu parsing bugs)
|
| 652 |
-
if token_id in raw_fields:
|
| 653 |
-
xpos_list.append(raw_fields[token_id]['xpos'])
|
| 654 |
-
feats_list.append(raw_fields[token_id]['feats'])
|
| 655 |
-
deps_list.append(raw_fields[token_id]['deps'])
|
| 656 |
-
misc_list.append(raw_fields[token_id]['misc'])
|
| 657 |
-
else:
|
| 658 |
-
# Fallback to conllu parsed values
|
| 659 |
-
xpos_list.append(self._conllu_optional_field(token["xpos"]))
|
| 660 |
-
feats_list.append(self._conllu_optional_field(token["feats"]))
|
| 661 |
-
deps_list.append(self._conllu_optional_field(token["deps"]))
|
| 662 |
-
misc_list.append(self._conllu_optional_field(token["misc"]))
|
| 663 |
-
|
| 664 |
-
# Yield example with proper types per UD specification:
|
| 665 |
-
# - Required fields (FORM, LEMMA, UPOS, HEAD, DEPREL): always string
|
| 666 |
-
# - Optional fields (XPOS, FEATS, DEPS, MISC): None when unspecified
|
| 667 |
-
yield id, {
|
| 668 |
-
"sent_id": sent_id,
|
| 669 |
-
"text": text,
|
| 670 |
-
"comments": comments,
|
| 671 |
-
"tokens": tokens,
|
| 672 |
-
"lemmas": [token["lemma"] for token in sent_filtered],
|
| 673 |
-
"upos": [token["upos"] for token in sent_filtered],
|
| 674 |
-
"xpos": xpos_list,
|
| 675 |
-
"feats": feats_list,
|
| 676 |
-
"head": [str(token["head"]) if token["head"] is not None else "_" for token in sent_filtered],
|
| 677 |
-
"deprel": [str(token["deprel"]) if token["deprel"] else "_" for token in sent_filtered],
|
| 678 |
-
"deps": deps_list,
|
| 679 |
-
"misc": misc_list,
|
| 680 |
-
"mwt": mwts,
|
| 681 |
-
"empty_nodes": empty_nodes,
|
| 682 |
-
}
|
| 683 |
-
id += 1
|
|
|
|
|
|
|
|
|
|
|
|
|
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