remove loader

cs_fleurs.py

@@ -1,74 +0,0 @@
-import json
-import os
-from datasets import DatasetInfo, GeneratorBasedBuilder, BuilderConfig, SplitGenerator, Split, Features, Value
-
-class CSFLEURSConfig(BuilderConfig):
-    """BuilderConfig for a subset of CS-FLEURS."""
-    def __init__(self, subset_name=None, **kwargs):
-        super().__init__(**kwargs)
-        self.subset_name = subset_name  # e.g., "read", "xtts", "mms"
-
-class CSFLEURS(GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        CSFLEURSConfig(name="default", subset_name="all", description="All splits"),
-        CSFLEURSConfig(name="read", subset_name="read", description="Read subset"),
-        CSFLEURSConfig(name="xtts", subset_name="xtts", description="XTTS subset"),
-        CSFLEURSConfig(name="mms", subset_name="mms", description="MMS subset"),
-    ]
-
-    def _info(self):
-        return DatasetInfo(
-            description="CS-FLEURS: Code-switched speech dataset",
-            features=Features({
-                "id": Value("string"),
-                "file_name": Value("string"),
-                "text": Value("string"),
-                "duration": Value("float"),
-                "language": Value("string"),
-                "speaker": Value("string"),
-            }),
-            supervised_keys=None,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Dynamically generate splits from subdirectories."""
-        base_path = os.path.abspath(".")
-        subset_dir = os.path.join(base_path, self.config.subset_name)
-
-        if not os.path.exists(subset_dir):
-            raise FileNotFoundError(f"Subset directory not found: {subset_dir}")
-
-        splits = []
-        for split_name in os.listdir(subset_dir):
-            split_path = os.path.join(subset_dir, split_name)
-            if os.path.isdir(split_path):
-                # Map folder names to Hugging Face Split enum if possible
-                hf_split_name = Split.TRAIN if split_name == "train" else Split.TEST
-                splits.append(
-                    SplitGenerator(
-                        name=hf_split_name if split_name in ["train", "test"] else split_name,
-                        gen_kwargs={"data_dir": split_path}
-                    )
-                )
-
-        return splits
-
-    def _generate_examples(self, data_dir):
-        """Yields examples from metadata.jsonl in the given directory."""
-        metadata_path = os.path.join(data_dir, "metadata.jsonl")
-        if not os.path.exists(metadata_path):
-            raise FileNotFoundError(f"Metadata file not found: {metadata_path}")
-
-        with open(metadata_path, "r", encoding="utf-8") as f:
-            for line in f:
-                entry = json.loads(line)
-                # Make file_name absolute
-                file_path = os.path.join(data_dir, entry["file_name"]) if not os.path.isabs(entry["file_name"]) else entry["file_name"]
-                yield entry["id"], {
-                    "id": entry["id"],
-                    "file_name": file_path,
-                    "text": entry["text"],
-                    "duration": float(entry["duration"]),
-                    "language": entry["language"],
-                    "speaker": entry["speaker"],
-                }

dataset.py

@@ -1,74 +0,0 @@
-import json
-import os
-from datasets import DatasetInfo, GeneratorBasedBuilder, BuilderConfig, SplitGenerator, Split, Features, Value
-
-class CSFLEURSConfig(BuilderConfig):
-    """BuilderConfig for a subset of CS-FLEURS."""
-    def __init__(self, subset_name=None, **kwargs):
-        super().__init__(**kwargs)
-        self.subset_name = subset_name  # e.g., "read", "xtts", "mms"
-
-class CSFLEURS(GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        CSFLEURSConfig(name="default", subset_name="all", description="All splits"),
-        CSFLEURSConfig(name="read", subset_name="read", description="Read subset"),
-        CSFLEURSConfig(name="xtts", subset_name="xtts", description="XTTS subset"),
-        CSFLEURSConfig(name="mms", subset_name="mms", description="MMS subset"),
-    ]
-
-    def _info(self):
-        return DatasetInfo(
-            description="CS-FLEURS: Code-switched speech dataset",
-            features=Features({
-                "id": Value("string"),
-                "file_name": Value("string"),
-                "text": Value("string"),
-                "duration": Value("float"),
-                "language": Value("string"),
-                "speaker": Value("string"),
-            }),
-            supervised_keys=None,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Dynamically generate splits from subdirectories."""
-        base_path = os.path.abspath(".")
-        subset_dir = os.path.join(base_path, self.config.subset_name)
-
-        if not os.path.exists(subset_dir):
-            raise FileNotFoundError(f"Subset directory not found: {subset_dir}")
-
-        splits = []
-        for split_name in os.listdir(subset_dir):
-            split_path = os.path.join(subset_dir, split_name)
-            if os.path.isdir(split_path):
-                # Map folder names to Hugging Face Split enum if possible
-                hf_split_name = Split.TRAIN if split_name == "train" else Split.TEST
-                splits.append(
-                    SplitGenerator(
-                        name=hf_split_name if split_name in ["train", "test"] else split_name,
-                        gen_kwargs={"data_dir": split_path}
-                    )
-                )
-
-        return splits
-
-    def _generate_examples(self, data_dir):
-        """Yields examples from metadata.jsonl in the given directory."""
-        metadata_path = os.path.join(data_dir, "metadata.jsonl")
-        if not os.path.exists(metadata_path):
-            raise FileNotFoundError(f"Metadata file not found: {metadata_path}")
-
-        with open(metadata_path, "r", encoding="utf-8") as f:
-            for line in f:
-                entry = json.loads(line)
-                # Make file_name absolute
-                file_path = os.path.join(data_dir, entry["file_name"]) if not os.path.isabs(entry["file_name"]) else entry["file_name"]
-                yield entry["id"], {
-                    "id": entry["id"],
-                    "file_name": file_path,
-                    "text": entry["text"],
-                    "duration": float(entry["duration"]),
-                    "language": entry["language"],
-                    "speaker": entry["speaker"],
-                }