Delete sci_lay.py

sci_lay.py

@@ -1,160 +0,0 @@
-"""SciLay Dataset."""
-
-import gzip
-import json
-import os
-
-import datasets
-from datasets.download.streaming_download_manager import FilesIterable
-
-_HOMEPAGE = ""
-
-_CITATION = """
-"""
-
-_DESCRIPTION = """
-SCILAY comprises 46,486 instances, each representing a scientific article in the biomedical domain. 
-Each instance in the dataset includes the following components:
-    - plain_text: Containing a plain language summary of the scientific article. This section is written in a simple and accessible language, and is intended to be understandable by a wide audience.
-    - technical_text: This section contains the abstract of the scientific article. It provides a detailed and technical description of the research conducted in the article.
-In addition to the textual content, each instance is associated with the following metadata:
-    - Keywords: Keywords that capture the main topics and themes addressed in the article.
-    - Journal: The journal in which the article is published, providing context about the source of the research.
-    - DOI (Digital Object Identifier): A unique identifier for the article, facilitating easy referencing.
-The main objective of the SCILAY dataset is to support the development and evaluation of text summarization models that can effectively simplify complex scientific language while retaining the essential information. 
-"""
-
-_LICENSE = "Creative Commons Attribution 4.0 International"
-
-_SPLIT_NAMES = {datasets.Split.TRAIN: "train", datasets.Split.VALIDATION: "validation", datasets.Split.TEST: "test"}
-_URL = "data/{version}/{split_name}.zip"
-
-_DOI = "doi"
-_PMCID = "pmcid"
-_SUMMARY = "plain_text"
-_ABSTRACT = "technical_text"
-_JOURNAL = "journal"
-_TOPICS = "topics"
-_KEYWORDS = "keywords"
-
-_JOURNALS = {
-    "NC": "Nature Communications",
-    "A": "Animals: an Open Access Journal from MDPI",
-    "NIHR": "NIHR Journals Library",
-    "PLGEN": "PLoS Genetics",
-    "PLPAT": "PLoS Pathogens",
-    "PLCB": "PLoS Computational Biology",
-    "PLNTD": "PLoS Neglected Tropical Diseases",
-    "B": "Biology",
-    "I": "Insects",
-    "EL": "eLife",
-    "PLB": "PLoS Biology",
-    "CB": "Communications Biology",
-    "SD": "Scientific Data",
-    "MBIO": "mBio",
-    "C": "Cancers",
-    "OTHER": "Others"
-}
-
-# Available versions:
-# 1.0.0 cased raw strings.
-
-_VERSION = "1.0.0"
-
-class SciLayConfig(datasets.BuilderConfig):
-    """BuilderConfig for SciLay."""
-
-    def __init__(self, journals="all", version=_VERSION, **kwargs):
-        """BuilderConfig for SciLay.
-        Args:
-            journals (str or list, default 'all'): List of journal names. Either 'all' or a combination
-                of {'NC', 'A', 'NIHR', 'PLGEN', 'PLPAT', 'PLCB', 'PLNTD', 'B', 'I', 'EL', 'PLB', 'CB', 'SD', 'MBIO', 'C', 'OTHER'}.
-            **kwargs: keyword arguments forwarded to super.
-        """
-        if isinstance(journals, str):
-            journals = [journals]
-        name = "+".join(journals)
-        if name == "all":
-            journals = list(_JOURNALS) 
-        if version != _VERSION:
-            name = f"{name}-{version}"
-        super().__init__(name=name, version=version, **kwargs)
-        self.journals = journals
-
-class SciLay(datasets.GeneratorBasedBuilder):
-    """SciLay datasets."""
-
-    BUILDER_CONFIG_CLASS = SciLayConfig
-    BUILDER_CONFIGS = [
-        SciLayConfig(
-            journals="all",
-            description="Articles from all journals.",
-        ),
-    ] + [
-        SciLayConfig(
-            journals=k,
-            description=f"Articles from journals {k}: {v}",
-        )
-        for k, v in sorted(_JOURNALS.items())
-    ]
-    DEFAULT_CONFIG_NAME = "all"
-    VERSION = _VERSION
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features({
-                _DOI: datasets.Value("string"),
-                _PMCID: datasets.Value("string"),
-                _SUMMARY: datasets.Value("string"),
-                _ABSTRACT: datasets.Value("string"),
-                _JOURNAL: datasets.Value("string"),
-                _TOPICS: datasets.Sequence(datasets.Value("string")),
-                _KEYWORDS: datasets.Sequence(datasets.Value("string"))
-            }),
-            supervised_keys=(_ABSTRACT, _SUMMARY),
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-            """Returns SplitGenerators."""
-            urls = {
-                split: _URL.format(version=self.config.version, split_name=split_name)
-                for split, split_name in _SPLIT_NAMES.items()
-            }
-            dl_paths = dl_manager.download_and_extract(urls)
-            paths = {
-                split: [
-                    dl_manager.iter_files(os.path.join(dl_paths[split], split_name, code)) for code in self.config.journals
-                ]
-                for split, split_name in _SPLIT_NAMES.items()
-            }
-            raise Exception(f"paths creati = {[file_path.__repr__ for file_path in paths]}")
-            return [
-                datasets.SplitGenerator(
-                    name=split,
-                    gen_kwargs={"paths": paths[split]},
-                )
-                for split in _SPLIT_NAMES
-            ]
-
-    def _generate_examples(self, paths=None):
-        """Yields examples."""
-        for paths_per_journal in paths:
-            for path in paths_per_journal:
-                with open(path, "rb") as fin:
-                    fin = gzip.GzipFile(fileobj=fin)
-                    for row in fin:
-                        json_obj = json.loads(row)
-                        yield json_obj["doi"], {
-                            _DOI: json_obj[_DOI],
-                            _PMCID: json_obj[_PMCID],
-                            _SUMMARY: json_obj[_SUMMARY],
-                            _ABSTRACT: json_obj[_ABSTRACT],
-                            _JOURNAL: json_obj[_JOURNAL],
-                            _TOPICS: json_obj[_TOPICS],
-                            _KEYWORDS: json_obj[_KEYWORDS]
-                        }
-