removed dataset loading script

vukuzenzele-monolingual.py

@@ -1,107 +0,0 @@
-
-"""TODO: Add a description here."""
-
-
-import csv
-import json
-import os
-
-import datasets
-
-
-# TODO: Add BibTeX citation
-# Find for instance the citation on arxiv or on the dataset repo/website
-_CITATION = """\
-@dataset{marivate_vukosi_2023_7598540, author = {Marivate, Vukosi and Njini, Daniel and Madodonga, Andani and Lastrucci, Richard and Dzingirai, Isheanesu Rajab, Jenalea}, title = {The Vuk'uzenzele South African Multilingual Corpus}, month = feb, year = 2023, publisher = {Zenodo}, doi = {10.5281/zenodo.7598539}, url = {https://doi.org/10.5281/zenodo.7598539} }
-"""
-
-_DESCRIPTION = """\
-The dataset contains editions from the South African government magazine Vuk'uzenzele. Data was scraped from PDFs that have been placed in the data/raw folder. The PDFS were obtained from the Vuk'uzenzele website.
-"""
-
-# TODO: Add a link to an official homepage for the dataset here
-_HOMEPAGE = "https://arxiv.org/abs/2303.03750"
-
-# TODO: Add the licence for the dataset here if you can find it
-_LICENSE = "CC 4.0 BY"
-
-_URL = "https://raw.githubusercontent.com/dsfsi/vukuzenzele-nlp/master/data/huggingface/"
-_DATAFILE = "data.jsonl"
-
-class VukuzenzeleMonolingualConfig(datasets.BuilderConfig):
-    """BuilderConfig for VukuzenzeleMonolingual"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for Masakhaner.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(VukuzenzeleMonolingualConfig, self).__init__(**kwargs)
-
-
-# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
-class VukuzenzeleMonolingual(datasets.GeneratorBasedBuilder):
-    """TODO: Short description of my dataset."""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="afr", version=VERSION, description="Vukuzenzele Afrikaans Dataset"),
-        datasets.BuilderConfig(name="eng", version=VERSION, description="Vukuzenzele English Dataset"),
-        datasets.BuilderConfig(name="nbl", version=VERSION, description="Vukuzenzele Ndebele Dataset"),
-        datasets.BuilderConfig(name="nso", version=VERSION, description="Vukuzenzele Sepedi Dataset"),
-        datasets.BuilderConfig(name="sot", version=VERSION, description="Vukuzenzele Sesotho Dataset"),
-        datasets.BuilderConfig(name="ssw", version=VERSION, description="Vukuzenzele siSwati Dataset"),
-        datasets.BuilderConfig(name="tsn", version=VERSION, description="Vukuzenzele Setswana Dataset"),
-        datasets.BuilderConfig(name="tso", version=VERSION, description="Vukuzenzele Xitsonga Dataset"),
-        datasets.BuilderConfig(name="ven", version=VERSION, description="Vukuzenzele Tshivenda Dataset"),
-        datasets.BuilderConfig(name="xho", version=VERSION, description="Vukuzenzele isiXhosa Dataset"),
-        datasets.BuilderConfig(name="zul", version=VERSION, description="Vukuzenzele isiZulu Dataset"),
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "title": datasets.Value("string"),
-                "text": datasets.Value("string"),
-                "language_code": datasets.Value("string"),
-                "edition": datasets.Value("string")
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,  
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            # Citation for the dataset
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-      
-        urls = {
-            "train": f"{_URL}{self.config.name}/{_DATAFILE}"
-        }
-        data_dir = dl_manager.download_and_extract(urls)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": data_dir["train"],
-                    "split": "train",
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        with open(filepath, encoding="utf-8") as f:
-            for key, row in enumerate(f):
-                data = json.loads(row)
-                if 'title' not in data.keys(): continue
-                yield key, {
-                    "title": data["title"],
-                    "text": data["text"],
-                    "edition": data["edition"],
-                    "language_code": data["language_code"],
-                }
-