Delete vukuzenzele-sentence-aligned.py

vukuzenzele-sentence-aligned.py

@@ -1,97 +0,0 @@
-
-"""TODO: Add a description here."""
-
-
-import csv
-import json
-import os
-
-import datasets
-
-from itertools import combinations
-
-LANGUAGES = ['afr', 'eng', 'nbl', 'nso', 'sot', 'ssw', 'tsn', 'tso', 'ven', 'xho', 'zul']
-LANGUAGE_PAIRS = list(combinations(LANGUAGES, 2))
-
-_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.
-"""
-
-_HOMEPAGE = "https://arxiv.org/abs/2303.03750"
-
-_LICENSE = "CC 4.0 BY"
-
-_URL = "https://raw.githubusercontent.com/dsfsi/vukuzenzele-nlp/master/data/opt_aligned_out/"
-
-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 = []
-
-    for pair in LANGUAGE_PAIRS:
-        name = "aligned-{}-{}.jsonl".format(pair[0], pair[1])
-        description = "Vukuzenzele {}-{} aligned dataset".format(pair[0], pair[1])
-        BUILDER_CONFIGS.append(datasets.BuilderConfig(name=f"{name}", version=VERSION, description=f"{description}"),)
-    
-    def _info(self):
-        features = datasets.Features(
-            {
-                "src": datasets.Value("string"),
-                "tgt": datasets.Value("string"),
-                "score": datasets.Value("float"),
-            }
-        )
-        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}"
-        }
-        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)
-                yield key, {
-                    "src": data["src"],
-                    "tgt": data["tgt"],
-                    "score": data["score"],
-                }
-