Create UD_Hebrew-IAHLTwiki.py

UD_Hebrew-IAHLTwiki.py

@@ -0,0 +1,142 @@
+
+import os.path
+
+try:
+  import conllu
+except:
+  raise Exception("please install `pip install conllu`")
+
+import datasets
+
+
+_CITATION = r"""\
+@InProceedings{ZeldesHowellOrdanBenMoshe2022,
+  author    = {Amir Zeldes and Nick Howell and Noam Ordan and Yifat Ben Moshe},
+  booktitle = {Proceedings of {EMNLP} 2022},
+  title     = {A SecondWave of UD Hebrew Treebanking and Cross-Domain Parsing},
+  year      = {2022},
+  address   = {Abu Dhabi, UAE},
+}
+"""  # noqa: W605
+
+_DESCRIPTION = """\
+Publicly available subset of the IAHLT UD Hebrew Treebank's Wikipedia section (https://www.iahlt.org/)
+"""
+
+
+_UD_DATASETS = {
+        "train": "data/he_iahltwiki-ud-dev.conllu",
+        "validation": "data/he_iahltwiki-ud-dev.conllu",
+        "test": "data/he_iahltwiki-ud-test.conllu"
+    }
+
+
+class UniversaldependenciesConfig(datasets.BuilderConfig):
+    """BuilderConfig for Universal dependencies"""
+
+    def __init__(self, data_url, **kwargs):
+        super(UniversaldependenciesConfig, self).__init__(version=datasets.Version("2.7.0", ""), **kwargs)
+
+        self.data_url = data_url
+
+
+class UniversalDependencies(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("2.7.0")
+    BUILDER_CONFIGS = [
+        UniversaldependenciesConfig(
+            name="he_iahltwiki",
+            description=_DESCRIPTION,
+            data_url="https://github.com/UniversalDependencies/UD_Hebrew-IAHLTwiki",
+        )
+    ]
+    BUILDER_CONFIG_CLASS = UniversaldependenciesConfig
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "idx": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                    "tokens": datasets.Sequence(datasets.Value("string")),
+                    "lemmas": datasets.Sequence(datasets.Value("string")),
+                    "upos": datasets.Sequence(
+                        datasets.features.ClassLabel(
+                            names=[
+                                "NOUN",
+                                "PUNCT",
+                                "ADP",
+                                "NUM",
+                                "SYM",
+                                "SCONJ",
+                                "ADJ",
+                                "PART",
+                                "DET",
+                                "CCONJ",
+                                "PROPN",
+                                "PRON",
+                                "X",
+                                "_",
+                                "ADV",
+                                "INTJ",
+                                "VERB",
+                                "AUX",
+                            ]
+                        )
+                    ),
+                    "xpos": datasets.Sequence(datasets.Value("string")),
+                    "feats": datasets.Sequence(datasets.Value("string")),
+                    "head": datasets.Sequence(datasets.Value("string")),
+                    "deprel": datasets.Sequence(datasets.Value("string")),
+                    "deps": datasets.Sequence(datasets.Value("string")),
+                    "misc": datasets.Sequence(datasets.Value("string")),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://www.iahlt.org/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = dl_manager.download_and_extract(_UD_DATASETS)
+        filepaths = {
+            split: data_dir[split]
+            for split, _ in _UD_DATASETS.items()
+        }
+        return [
+            datasets.SplitGenerator(name=datasets.Split(split), gen_kwargs={"filepath": filepaths[split]})
+            for split in filepaths
+        ]
+
+    def _generate_examples(self, filepath):
+        id_ = 0
+        with open(filepath, "r", encoding="utf-8") as data_file:
+            tokenlist = list(conllu.parse_incr(data_file))
+            for sent in tokenlist:
+                if "sent_id" in sent.metadata:
+                    idx = sent.metadata["sent_id"]
+                else:
+                    idx = id_
+
+                tokens = [token["form"] for token in sent]
+
+                if "text" in sent.metadata:
+                    txt = sent.metadata["text"]
+                else:
+                    txt = " ".join(tokens)
+
+                yield id_, {
+                    "idx": str(idx),
+                    "text": txt,
+                    "tokens": [token["form"] for token in sent],
+                    "lemmas": [token["lemma"] for token in sent],
+                    "upos": [token["upos"] for token in sent],
+                    "xpos": [token["xpos"] for token in sent],
+                    "feats": [str(token["feats"]) for token in sent],
+                    "head": [str(token["head"]) for token in sent],
+                    "deprel": [str(token["deprel"]) for token in sent],
+                    "deps": [str(token["deps"]) for token in sent],
+                    "misc": [str(token["misc"]) for token in sent],
+                }
+                id_ += 1