Update BirdSet.py

BirdSet.py

@@ -17,6 +17,7 @@
 import os
 import datasets
 import pandas as pd
+import numpy as np
 
 from .classes import BIRD_NAMES_NIPS4BPLUS, BIRD_NAMES_AMAZON_BASIN, BIRD_NAMES_HAWAII, \
     BIRD_NAMES_HIGH_SIERRAS, BIRD_NAMES_SIERRA_NEVADA, BIRD_NAMES_POWDERMILL_NATURE, BIRD_NAMES_SAPSUCKER, \
@@ -48,6 +49,7 @@ _BIRDSET_DESCRIPTION = """\
 
 base_url = "https://huggingface.co/datasets/DBD-research-group/BirdSet/resolve/data"
 
+
 class BirdSetConfig(datasets.BuilderConfig):
     def __init__(
             self,
@@ -58,7 +60,7 @@ class BirdSetConfig(datasets.BuilderConfig):
             species_group_list,
             order_list,
             **kwargs):
-        super().__init__(version=datasets.Version("0.0.2"), name=name, **kwargs)
+        super().__init__(version=datasets.Version("0.0.3"), name=name, **kwargs)
 
         features = datasets.Features({
             "audio": datasets.Audio(sampling_rate=32_000, mono=True, decode=False),
@@ -437,7 +439,9 @@ class BirdSet(datasets.GeneratorBasedBuilder):
                 "meta_test_5s": os.path.join(self.config.data_dir, f"{ds_name}_metadata_test_5s.parquet"),
             })
 
-        local_audio_archives_paths = dl_manager.extract(dl_dir) if not dl_manager.is_streaming else None
+        # TODO no more extraction
+        #local_audio_archives_paths = dl_manager.extract(dl_dir) if not dl_manager.is_streaming else None
+        #local_audio_archives_paths = dl_manager.iter_archive(dl_dir)
 
         if self.config.name.startswith("XC") or self.config.name.endswith("_xc"):
             return [
@@ -445,7 +449,7 @@ class BirdSet(datasets.GeneratorBasedBuilder):
                     name=datasets.Split.TRAIN,
                     gen_kwargs={
                         "audio_archive_iterators": [dl_manager.iter_archive(archive_path) for archive_path in dl_dir["train"]],
-                        "local_audio_archives_paths": local_audio_archives_paths["train"] if local_audio_archives_paths else None,
+                        #"local_audio_archives_paths": local_audio_archives_paths["train"] if local_audio_archives_paths else None,
                         "metapath": dl_dir["metadata"],
                         "split": datasets.Split.TRAIN,
                     },
@@ -454,7 +458,7 @@ class BirdSet(datasets.GeneratorBasedBuilder):
                     name="valid",
                     gen_kwargs={
                         "audio_archive_iterators": [dl_manager.iter_archive(archive_path) for archive_path in dl_dir["valid"]],
-                        "local_audio_archives_paths": local_audio_archives_paths["valid"] if local_audio_archives_paths else None,
+                        #"local_audio_archives_paths": local_audio_archives_paths["valid"] if local_audio_archives_paths else None,
                         "metapath": dl_dir["meta_test_5s"],
                         "split": "valid",
                     },
@@ -467,7 +471,7 @@ class BirdSet(datasets.GeneratorBasedBuilder):
                     name=datasets.Split.TEST,
                     gen_kwargs={
                         "audio_archive_iterators": [dl_manager.iter_archive(archive_path) for archive_path in dl_dir["test"]],
-                        "local_audio_archives_paths": local_audio_archives_paths["test"] if local_audio_archives_paths else None,
+                        #"local_audio_archives_paths": local_audio_archives_paths["test"] if local_audio_archives_paths else None,
                         "metapath": dl_dir["metadata"],
                         "split": datasets.Split.TEST,
                     },
@@ -476,7 +480,7 @@ class BirdSet(datasets.GeneratorBasedBuilder):
                     name="test_5s",
                     gen_kwargs={
                         "audio_archive_iterators": [dl_manager.iter_archive(archive_path) for archive_path in dl_dir["test_5s"]],
-                        "local_audio_archives_paths": local_audio_archives_paths["test_5s"] if local_audio_archives_paths else None,
+                        #"local_audio_archives_paths": local_audio_archives_paths["test_5s"] if local_audio_archives_paths else None,
                         "metapath": dl_dir["metadata_5s"],
                         "split": "test_multilabel"
                     },
@@ -488,7 +492,7 @@ class BirdSet(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
                     "audio_archive_iterators": [dl_manager.iter_archive(archive_path) for archive_path in dl_dir["train"]],
-                    "local_audio_archives_paths": local_audio_archives_paths["train"] if local_audio_archives_paths else None,
+                    #"local_audio_archives_paths": local_audio_archives_paths["train"] if local_audio_archives_paths else None,
                     "metapath": dl_dir["meta_train"],
                     "split": datasets.Split.TRAIN,
                 },
@@ -497,7 +501,7 @@ class BirdSet(datasets.GeneratorBasedBuilder):
                 name=datasets.Split.TEST,
                 gen_kwargs={
                     "audio_archive_iterators": [dl_manager.iter_archive(archive_path) for archive_path in dl_dir["test"]],
-                    "local_audio_archives_paths": local_audio_archives_paths["test"] if local_audio_archives_paths else None,
+                    #"local_audio_archives_paths": local_audio_archives_paths["test"] if local_audio_archives_paths else None,
                     "metapath": dl_dir["meta_test"],
                     "split": datasets.Split.TEST,
                 },
@@ -506,27 +510,26 @@ class BirdSet(datasets.GeneratorBasedBuilder):
                 name="test_5s",
                 gen_kwargs={
                     "audio_archive_iterators": [dl_manager.iter_archive(archive_path) for archive_path in dl_dir["test_5s"]],
-                    "local_audio_archives_paths": local_audio_archives_paths["test_5s"] if local_audio_archives_paths else None,
+                    #"local_audio_archives_paths": local_audio_archives_paths["test_5s"] if local_audio_archives_paths else None,
                     "metapath": dl_dir["meta_test_5s"],
                     "split": "test_multilabel"
                 },
             ),
         ]
 
-    def _generate_examples(self, audio_archive_iterators, local_audio_archives_paths, metapath, split):
+    def _generate_examples(self, audio_archive_iterators, metapath, split):
         metadata = pd.read_parquet(metapath)
         idx = 0
         for i, audio_archive_iterator in enumerate(audio_archive_iterators):
             for audio_path_in_archive, audio_file in audio_archive_iterator:
                 id = os.path.split(audio_path_in_archive)[-1]
                 rows = metadata[metadata.index == (int(id[2:].split(".")[0]) if split == "train" else id)]
-                audio_path = os.path.join(local_audio_archives_paths[i], audio_path_in_archive) if local_audio_archives_paths else audio_path_in_archive
+                audio_path = audio_path_in_archive
 
-                audio = audio_path if local_audio_archives_paths else audio_file.read()
                 for _, row in rows.iterrows():
                     idx += 1
                     yield id if split == "train" else idx, {
-                        "audio": audio,
+                        "audio": audio_file.read(),
                         "filepath": audio_path,
                         "start_time": row["start_time"],
                         "end_time": row["end_time"],
@@ -556,3 +559,5 @@ class BirdSet(datasets.GeneratorBasedBuilder):
                         "species_group_multilabel": row.get("species_group_multilabel", None),
                         "order_multilabel": row.get("order_multilabel", None),
                     }
+
+            os.remove(audio_archive_iterator.args[0])