Delete sciarg.py

sciarg.py

@@ -1,337 +0,0 @@
-import glob
-import logging
-from dataclasses import dataclass
-from os import listdir, path
-from typing import Dict, List, Optional
-
-import datasets
-from datasets import BuilderConfig, DatasetInfo, Features, Sequence, SplitGenerator, Value
-
-logger = logging.getLogger(__name__)
-
-
-@dataclass
-class BratConfig(BuilderConfig):
-    """BuilderConfig for BRAT."""
-
-    url: str = None  # type: ignore
-    description: Optional[str] = None
-    citation: Optional[str] = None
-    homepage: Optional[str] = None
-
-    subdirectory_mapping: Optional[Dict[str, str]] = None
-    file_name_blacklist: Optional[List[str]] = None
-    ann_file_extension: str = "ann"
-    txt_file_extension: str = "txt"
-
-
-class Brat(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIG_CLASS = BratConfig
-
-    def _info(self):
-        return DatasetInfo(
-            description=self.config.description,
-            citation=self.config.citation,
-            homepage=self.config.homepage,
-            features=Features(
-                {
-                    "context": Value("string"),
-                    "file_name": Value("string"),
-                    "spans": Sequence(
-                        {
-                            "id": Value("string"),
-                            "type": Value("string"),
-                            "locations": Sequence(
-                                {
-                                    "start": Value("int32"),
-                                    "end": Value("int32"),
-                                }
-                            ),
-                            "text": Value("string"),
-                        }
-                    ),
-                    "relations": Sequence(
-                        {
-                            "id": Value("string"),
-                            "type": Value("string"),
-                            "arguments": Sequence(
-                                {"type": Value("string"), "target": Value("string")}
-                            ),
-                        }
-                    ),
-                    "equivalence_relations": Sequence(
-                        {
-                            "type": Value("string"),
-                            "targets": Sequence(Value("string")),
-                        }
-                    ),
-                    "events": Sequence(
-                        {
-                            "id": Value("string"),
-                            "type": Value("string"),
-                            "trigger": Value("string"),
-                            "arguments": Sequence(
-                                {"type": Value("string"), "target": Value("string")}
-                            ),
-                        }
-                    ),
-                    "attributions": Sequence(
-                        {
-                            "id": Value("string"),
-                            "type": Value("string"),
-                            "target": Value("string"),
-                            "value": Value("string"),
-                        }
-                    ),
-                    "normalizations": Sequence(
-                        {
-                            "id": Value("string"),
-                            "type": Value("string"),
-                            "target": Value("string"),
-                            "resource_id": Value("string"),
-                            "entity_id": Value("string"),
-                        }
-                    ),
-                    "notes": Sequence(
-                        {
-                            "id": Value("string"),
-                            "type": Value("string"),
-                            "target": Value("string"),
-                            "note": Value("string"),
-                        }
-                    ),
-                }
-            ),
-        )
-
-    @staticmethod
-    def _get_location(location_string):
-        parts = location_string.split(" ")
-        assert (
-            len(parts) == 2
-        ), f"Wrong number of entries in location string. Expected 2, but found: {parts}"
-        return {"start": int(parts[0]), "end": int(parts[1])}
-
-    @staticmethod
-    def _get_span_annotation(annotation_line):
-        """
-        example input:
-        T1	Organization 0 4	Sony
-        """
-
-        _id, remaining, text = annotation_line.split("\t", maxsplit=2)
-        _type, locations = remaining.split(" ", maxsplit=1)
-        return {
-            "id": _id,
-            "text": text,
-            "type": _type,
-            "locations": [Brat._get_location(loc) for loc in locations.split(";")],
-        }
-
-    @staticmethod
-    def _get_event_annotation(annotation_line):
-        """
-        example input:
-        E1	MERGE-ORG:T2 Org1:T1 Org2:T3
-        """
-        _id, remaining = annotation_line.strip().split("\t")
-        args = [dict(zip(["type", "target"], a.split(":"))) for a in remaining.split(" ")]
-        return {
-            "id": _id,
-            "type": args[0]["type"],
-            "trigger": args[0]["target"],
-            "arguments": args[1:],
-        }
-
-    @staticmethod
-    def _get_relation_annotation(annotation_line):
-        """
-        example input:
-        R1	Origin Arg1:T3 Arg2:T4
-        """
-
-        _id, remaining = annotation_line.strip().split("\t")
-        _type, remaining = remaining.split(" ", maxsplit=1)
-        args = [dict(zip(["type", "target"], a.split(":"))) for a in remaining.split(" ")]
-        return {"id": _id, "type": _type, "arguments": args}
-
-    @staticmethod
-    def _get_equivalence_relation_annotation(annotation_line):
-        """
-        example input:
-        *	Equiv T1 T2 T3
-        """
-        _, remaining = annotation_line.strip().split("\t")
-        parts = remaining.split(" ")
-        return {"type": parts[0], "targets": parts[1:]}
-
-    @staticmethod
-    def _get_attribute_annotation(annotation_line):
-        """
-        example input (binary: implicit value is True, if present, False otherwise):
-        A1	Negation E1
-        example input (multi-value: explicit value)
-        A2	Confidence E2 L1
-        """
-
-        _id, remaining = annotation_line.strip().split("\t")
-        parts = remaining.split(" ")
-        # if no value is present, it is implicitly "true"
-        if len(parts) == 2:
-            parts.append("true")
-        return {
-            "id": _id,
-            "type": parts[0],
-            "target": parts[1],
-            "value": parts[2],
-        }
-
-    @staticmethod
-    def _get_normalization_annotation(annotation_line):
-        """
-        example input:
-        N1	Reference T1 Wikipedia:534366	Barack Obama
-        """
-        _id, remaining, text = annotation_line.split("\t", maxsplit=2)
-        _type, target, ref = remaining.split(" ")
-        res_id, ent_id = ref.split(":")
-        return {
-            "id": _id,
-            "type": _type,
-            "target": target,
-            "resource_id": res_id,
-            "entity_id": ent_id,
-        }
-
-    @staticmethod
-    def _get_note_annotation(annotation_line):
-        """
-        example input:
-        #1	AnnotatorNotes T1	this annotation is suspect
-        """
-        _id, remaining, note = annotation_line.split("\t", maxsplit=2)
-        _type, target = remaining.split(" ")
-        return {
-            "id": _id,
-            "type": _type,
-            "target": target,
-            "note": note,
-        }
-
-    @staticmethod
-    def _read_annotation_file(filename):
-        """
-        reads a BRAT v1.3 annotations file (see https://brat.nlplab.org/standoff.html)
-        """
-
-        res = {
-            "spans": [],
-            "events": [],
-            "relations": [],
-            "equivalence_relations": [],
-            "attributions": [],
-            "normalizations": [],
-            "notes": [],
-        }
-
-        with open(filename) as file:
-            for i, line in enumerate(file):
-                if len(line.strip()) == 0:
-                    continue
-                ann_type = line[0]
-
-                # strip away the new line character
-                if line.endswith("\n"):
-                    line = line[:-1]
-
-                if ann_type == "T":
-                    res["spans"].append(Brat._get_span_annotation(line))
-                elif ann_type == "E":
-                    res["events"].append(Brat._get_event_annotation(line))
-                elif ann_type == "R":
-                    res["relations"].append(Brat._get_relation_annotation(line))
-                elif ann_type == "*":
-                    res["equivalence_relations"].append(
-                        Brat._get_equivalence_relation_annotation(line)
-                    )
-                elif ann_type in ["A", "M"]:
-                    res["attributions"].append(Brat._get_attribute_annotation(line))
-                elif ann_type == "N":
-                    res["normalizations"].append(Brat._get_normalization_annotation(line))
-                elif ann_type == "#":
-                    res["notes"].append(Brat._get_note_annotation(line))
-                else:
-                    raise ValueError(
-                        f'unknown BRAT annotation id type: "{line}" (from file {filename} @line {i}). '
-                        f"Annotation ids have to start with T (spans), E (events), R (relations), "
-                        f"A (attributions), or N (normalizations). See "
-                        f"https://brat.nlplab.org/standoff.html for the BRAT annotation file "
-                        f"specification."
-                    )
-        return res
-
-    def _generate_examples(self, files=None, directory=None):
-        """Read context (.txt) and annotation (.ann) files."""
-        if files is None:
-            assert (
-                directory is not None
-            ), "If files is None, directory has to be provided, but it is also None."
-            _files = glob.glob(f"{directory}/*.{self.config.ann_file_extension}")
-            files = sorted(path.splitext(fn)[0] for fn in _files)
-
-        for filename in files:
-            basename = path.basename(filename)
-            if (
-                self.config.file_name_blacklist is not None
-                and basename in self.config.file_name_blacklist
-            ):
-                logger.info(f"skip annotation file: {basename} (blacklisted)")
-                continue
-
-            ann_fn = f"{filename}.{self.config.ann_file_extension}"
-            brat_annotations = Brat._read_annotation_file(ann_fn)
-
-            txt_fn = f"{filename}.{self.config.txt_file_extension}"
-            txt_content = open(txt_fn).read()
-            brat_annotations["context"] = txt_content
-            brat_annotations["file_name"] = basename
-
-            yield basename, brat_annotations
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-
-        subdirectory_mapping = self.config.subdirectory_mapping
-
-        # since subclasses of BuilderConfig are not allowed to define
-        # attributes without defaults, check here
-        assert self.config.url is not None, "data url not specified"
-
-        # if url points to a local directory, just point to that
-        if path.exists(self.config.url) and path.isdir(self.config.url):
-            data_dir = self.config.url
-        # otherwise, download and extract
-        else:
-            data_dir = dl_manager.download_and_extract(self.config.url)
-        logging.info(f"load from data dir: {data_dir}")
-
-        # if no subdirectory mapping is provided, ...
-        if subdirectory_mapping is None:
-            # ... use available subdirectories as split names ...
-            subdirs = [f for f in listdir(data_dir) if path.isdir(path.join(data_dir, f))]
-            if len(subdirs) > 0:
-                subdirectory_mapping = {subdir: subdir for subdir in subdirs}
-            else:
-                # ... otherwise, default to a single train split with the base directory
-                subdirectory_mapping = {"": "train"}
-
-        return [
-            SplitGenerator(
-                name=split,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "directory": path.join(data_dir, subdir),
-                },
-            )
-            for subdir, split in subdirectory_mapping.items()
-        ]