added script for loading dataset

nlprepl.py

@@ -0,0 +1,161 @@
+"""NKJP1M: The manually annotated subcorpus of the National Corpus of Polish"""
+import conllu
+import datasets
+
+
+logger = datasets.logging.get_logger(__name__)
+
+
+_CITATION = ""
+
+BY_NAME = "by_name"
+BY_TYPE = "by_type"
+
+TAGSET_NKJP = "nkjp"
+TAGSET_UD = "ud"
+
+_DESCRIPTION = {
+    BY_NAME: {
+        TAGSET_NKJP: "NLPrePL divided by document name for NKJP tagset",
+        TAGSET_UD: "TNLPrePL divided by document name for UD tagset"
+    },
+    BY_TYPE: {
+        TAGSET_NKJP: "NLPrePL divided by document type for NKJP tagset",
+        TAGSET_UD: "NLPrePL divided by document type for UD tagset"
+    }
+}
+
+_TYPES = [BY_NAME, BY_TYPE]
+_TAGSETS = [TAGSET_NKJP, TAGSET_UD]
+
+_URLS = {
+    BY_NAME: {
+        TAGSET_NKJP: {
+            'train': "nkjp_tagset/fair_by_document_name/train_nlprepl-nkjp.conllu.gz",
+            'dev': "nkjp_tagset/fair_by_document_name/dev_nlprepl-nkjp.conllu.gz",
+            'test': "nkjp_tagset/fair_by_document_name/test_nlprepl-nkjp.conllu.gz"
+        },
+        TAGSET_UD: {
+            'train': "ud_tagset/fair_by_document_name/train_nlprepl-ud.conllu.gz",
+            'dev': "ud_tagset/fair_by_document_name/dev_nlprepl-ud.conllu.gz",
+            'test': "ud_tagset/fair_by_document_name/test_nlprepl-ud.conllu.gz"
+        }
+    },
+    BY_TYPE: {
+        TAGSET_NKJP: {
+            'train': "nkjp_tagset/fair_by_document_type/train_nlprepl-nkjp.conllu.gz",
+            'dev': "nkjp_tagset/fair_by_document_type/dev_nlprepl-nkjp.conllu.gz",
+            'test': "nkjp_tagset/fair_by_document_type/test_nlprepl-nkjp.conllu.gz"
+        },
+        TAGSET_UD: {
+            'train': "ud_tagset/fair_by_document_type/train_nlprepl-ud.conllu.gz",
+            'dev': "ud_tagset/fair_by_document_type/dev_nlprepl-ud.conllu.gz",
+            'test': "ud_tagset/fair_by_document_type/test_nlprepl-ud.conllu.gz"
+        }
+    }
+}
+
+
+class NLPrePLConfig(datasets.BuilderConfig):
+    """BuilderConfig for NKJP1M"""
+
+    def __init__(self, tagset, **kwargs):
+        """BuilderConfig forNKJP1M.
+
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(NLPrePLConfig, self).__init__(**kwargs)
+
+        self.tagset = tagset
+
+
+class NLPrePL(datasets.GeneratorBasedBuilder):
+    """NKJP1M dataset."""
+
+    BUILDER_CONFIGS = [
+        NLPrePLConfig(
+            name=t + "-" + tagset,
+            version=datasets.Version("1.0.0"),
+            tagset=tagset,
+            description=_DESCRIPTION[t]
+        )
+        for t in _TYPES for tagset in _TAGSETS
+    ]
+
+    def _info(self):
+        dataset, tagset = self.config.name.split("-")
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION[dataset][tagset],
+            features=datasets.Features(
+                {
+                    "sent_id": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                    "id": datasets.Value("string"),
+                    "tokens": datasets.Sequence(datasets.Value("string")),
+                    "lemmas": datasets.Sequence(datasets.Value("string")),
+                    "upos": datasets.Sequence(datasets.Value("string")),
+                    "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="http://nkjp.pl/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        dataset, tagset = self.config.name.split("-")
+        urls = _URLS[dataset][tagset]
+        downloaded_files = dl_manager.download_and_extract(urls)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": downloaded_files["train"]}),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepath": downloaded_files["dev"]}),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": downloaded_files["test"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        id = 0
+        logger.info("⏳ Generating examples from = %s", filepath)
+
+        with open(filepath, 'r', encoding="utf-8") as f:
+            tokenlist = list(conllu.parse_incr(f))
+            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, {
+                    "sent_id": str(idx),
+                    "text": txt,
+                    "id": [token["id"] for token in sent],
+                    "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