Delete loading script

mlnoisy.py

@@ -1,83 +0,0 @@
-"""ml.sftwrs x RobotsMaliAI4D: mlgram dataset"""
-
-import os
-import json
-import datasets
-from datasets import load_dataset, DatasetBuilder
-
-
-_CITATION = """\n
-@misc{diarra2025mldatxnoisy,
-    title={Malian Noisy Dataset for LLM Training},
-    author={
-        Sebastien Diarra and
-        Nene Tangara and
-        Seydou Diallo
-    },
-    url={https://mlsftwrs.ml/project/mldatx},
-    year={2025}
-}
-"""
-
-_DESCRIPTION = """
-ml.Datx Noisy Dataset is a noise based dataset of 6 Malian Languages
-"""
-DATA_FILES = {
-    "bam": "bam_output.json",
-    "boz": "boz_output.json",
-    "bom": "bom_output.json",
-    "myk": "myk_output.json",
-    "sgh": "sgh_output.json",
-    "snk": "snk_output.json"
-}
-class MlDatxNoisy(datasets.GeneratorBasedBuilder):
-    """ ml.Datx Noisy Dataset """
-    
-    VERSION = datasets.Version("0.0.1")
-    
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "original": datasets.Value("string"),
-                    "cleaned": datasets.Value("string"),
-                    "space_insertion": datasets.Value("string"),
-                    "char_delete": datasets.Value("string"),
-                    "char_swap": datasets.Value("string"),
-                    "word_swap": datasets.Value("string"),
-                    "word_delete": datasets.Value("string"),
-                    "word_blank": datasets.Value("string"),
-                }
-            ),
-            citation=_CITATION,
-            supervised_keys=None,
-            homepage="https://mlsftwrs.ml/project/mldatx"
-        )
-    
-    def _split_generators(self, dl_manager):
-        data_dir = "data"
-        return [
-            datasets.SplitGenerator(
-                name=i, 
-                gen_kwargs={
-                    "file_path": os.path.join(data_dir, DATA_FILES[i]),
-                    "split": i
-                    }) for i in DATA_FILES
-        ]
-
-    def _generate_examples(self, file_path, split):
-        with open(file_path, "r") as file:
-            data = json.load(file)
-        
-        for id_, example in enumerate(data):
-            yield id_, {
-                "original": example["original"],
-                "cleaned": example["cleaned"],
-                "space_insertion": example["space_insertion"],
-                "char_delete": example["char_delete"],
-                "char_swap": example["char_swap"],
-                "word_swap": example["word_swap"],
-                "word_delete": example["word_delete"],
-                "word_blank": example["word_blank"]
-            }