update

expressivespeech.py

@@ -1,107 +0,0 @@
-# expressivespeech.py
-import json
-import os
-import datasets
-
-_REPO_ID = "FreedomIntelligence/ExpressiveSpeech"
-_BRANCH = "main"
-
-_DESCRIPTION = "Expressive speech dataset (loader for data.jsonl with audio column)."
-_HOMEPAGE = f"https://huggingface.co/datasets/{_REPO_ID}"
-_CITATION = ""
-
-class ExpressiveSpeech(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="default",
-            version=VERSION,
-            description="Default config that loads turns from data.jsonl and exposes audio as datasets.Audio",
-        ),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "from": datasets.Value("string"),
-                    "value": datasets.Value("string"),
-                    "emotion": datasets.Value("string"),
-                    "length": datasets.Value("float"),
-                    "score_arousal": datasets.Value("float"),
-                    "score_prosody": datasets.Value("float"),
-                    "score_nature": datasets.Value("float"),
-                    "score_expressive": datasets.Value("float"),
-                    "audio": datasets.Audio(sampling_rate=None),
-                    "dialog_id": datasets.Value("int32"),
-                    "turn_no": datasets.Value("int32"),
-                }
-            ),
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager: datasets.DownloadManager):
-        
-        jsonl_url = f"hf://datasets/{_REPO_ID}/resolve/{_BRANCH}/data.jsonl"
-        data_jsonl_path = dl_manager.download(jsonl_url)
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "data_jsonl_path": data_jsonl_path,
-                },
-            )
-        ]
-
-    def _generate_examples(self, data_jsonl_path: str):
-        
-        def to_hf_url(rel_path: str) -> str:
-            
-            rel_path = rel_path.lstrip("./")
-            return f"hf://datasets/{_REPO_ID}/resolve/{_BRANCH}/{rel_path}"
-
-        with open(data_jsonl_path, "r", encoding="utf-8") as f:
-            dialog_idx = 0
-            row_idx = 0
-            for line in f:
-                line = line.strip()
-                if not line:
-                    continue
-                obj = json.loads(line)
-                conversations = obj.get("conversations", [])
-                for turn in conversations:
-                    
-                    from_role = turn.get("from", "")
-                    value = turn.get("value", "")
-                    emotion = turn.get("emotion", "")
-                    length = float(turn.get("length", 0.0) or 0.0)
-                    score_arousal = float(turn.get("score_arousal", 0.0) or 0.0)
-                    score_prosody = float(turn.get("score_prosody", 0.0) or 0.0)
-                    score_nature = float(turn.get("score_nature", 0.0) or 0.0)
-                    score_expressive = float(turn.get("score_expressive", 0.0) or 0.0)
-                    audio_rel = turn.get("audio-path", None)
-
-                    
-                    audio_field = None
-                    if audio_rel:
-                        audio_field = to_hf_url(audio_rel)
-
-                    yield row_idx, {
-                        "from": from_role,
-                        "value": value,
-                        "emotion": emotion,
-                        "length": length,
-                        "score_arousal": score_arousal,
-                        "score_prosody": score_prosody,
-                        "score_nature": score_nature,
-                        "score_expressive": score_expressive,
-                        "audio": audio_field,
-                        "dialog_id": dialog_idx,
-                        "turn_no": int(turn.get("No", 0) or 0),
-                    }
-                    row_idx += 1
-                dialog_idx += 1