Update MELD_Audio.py

MELD_Audio.py

@@ -8,6 +8,8 @@ import os
 
 """The Audio, Speech, and Vision Processing Lab - Emotional Sound Database (ASVP - ESD)"""
 
+_HOMEPAGE = "https://affective-meld.github.io/"
+
 _CITATION = """\
 @article{poria2018meld,
   title={Meld: A multimodal multi-party dataset for emotion recognition in conversations},
@@ -65,13 +67,13 @@ class MELD_Audio(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
         metadata_dir: dict[str, str] = dl_manager.download_and_extract(
-            {"train": "train_sent_emo.csv", "validation": "dev_sent_emo.csv", "test": "test_sent_emo.csv"}
+            {"train": "train.csv", "dev": "dev.csv", "test": "test.csv"}
         )  # type: ignore  # noqa: PGH003
         data_path: dict[str, str] = dl_manager.download(
             {
-                "audios_train": "archive/train.tar.gz",
-                "audios_validation": "archive/dev.tar.gz",
-                "audios_test": "archive/test.tar.gz",
+                "train": "archive/train.tar.gz",
+                "dev": "archive/dev.tar.gz",
+                "test": "archive/test.tar.gz",
             }
         )  # type: ignore  # noqa: PGH003
         path_to_clips = "MELD_Audio"
@@ -79,9 +81,9 @@ class MELD_Audio(datasets.GeneratorBasedBuilder):
             dl_manager.extract(data_path)
             if not dl_manager.is_streaming
             else {
-                "audios_train": None,
-                "audios_validation": None,
-                "audios_test": None,
+                "train": None,
+                "dev": None,
+                "test": None,
             }
         )  # type: ignore  # noqa: PGH003
 
@@ -91,18 +93,18 @@ class MELD_Audio(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "filepath": metadata_dir["train"],
                     "split": "train",
-                    "local_extracted_archive": local_extracted_archive["audios_train"],
-                    "audio_files": dl_manager.iter_archive(data_path["audios_train"]),
+                    "local_extracted_archive": local_extracted_archive["train"],
+                    "audio_files": dl_manager.iter_archive(data_path["train"]),
                     "path_to_clips": path_to_clips,
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,  # type: ignore  # noqa: PGH003
                 gen_kwargs={
-                    "filepath": metadata_dir["validation"],
-                    "split": "validation",
-                    "local_extracted_archive": local_extracted_archive["audios_validation"],
-                    "audio_files": dl_manager.iter_archive(data_path["audios_validation"]),
+                    "filepath": metadata_dir["dev"],
+                    "split": "dev",
+                    "local_extracted_archive": local_extracted_archive["dev"],
+                    "audio_files": dl_manager.iter_archive(data_path["dev"]),
                     "path_to_clips": path_to_clips,
                 },
             ),
@@ -111,8 +113,8 @@ class MELD_Audio(datasets.GeneratorBasedBuilder):
                 gen_kwargs={
                     "filepath": metadata_dir["test"],
                     "split": "test",
-                    "local_extracted_archive": local_extracted_archive["audios_test"],
-                    "audio_files": dl_manager.iter_archive(data_path["audios_test"]),
+                    "local_extracted_archive": local_extracted_archive["test"],
+                    "audio_files": dl_manager.iter_archive(data_path["test"]),
                     "path_to_clips": path_to_clips,
                 },
             ),