remove scripts

listening_test_results.py

@@ -1,61 +0,0 @@
-import os
-import csv
-import datasets
-
-_DESCRIPTION = """
-Subjective listening test results for TTS systems, including MOS, CMOS and SMOS ratings from multiple annotators.
-"""
-
-
-class TTSDSSubjectiveConfig(datasets.BuilderConfig):
-    """BuilderConfig for TTSDS Subjective."""
-
-    def __init__(self, **kwargs):
-        super().__init__(**kwargs)
-
-
-class TTSDSSubjective(datasets.GeneratorBasedBuilder):
-    """TTSDS Subjective Listening Test Results."""
-
-    VERSION = datasets.Version("1.0.0")
-    BUILDER_CONFIGS = [
-        TTSDSSubjectiveConfig(
-            name="default",
-            version=VERSION,
-            description="Subjective listening test results",
-        ),
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "audio": datasets.Value("string"),
-                "dataset": datasets.Value("string"),
-                "system": datasets.Value("string"),
-                "rating_type": datasets.Value("string"),
-                "value": datasets.Value("int32"),
-                "annotator": datasets.Value("string"),
-                "id": datasets.Value("string"),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-        )
-
-    def _split_generators(self, dl_manager):
-        data_path = dl_manager.download_and_extract("subjective_results.csv")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": data_path},
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        with open(filepath, encoding="utf-8") as f:
-            reader = csv.DictReader(f)
-            for idx, row in enumerate(reader):
-                # Convert value to int
-                row["value"] = int(row["value"])
-                yield idx, row

to_parquet.py

@@ -1,7 +0,0 @@
-from datasets import load_dataset
-from pathlib import Path
-
-dataset = load_dataset("listening_test_results.py", split="test")
-
-Path("parquet").mkdir(exist_ok=True)
-dataset.to_parquet("parquet/ttsds_subjective.parquet")