first commit

.gitignore

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+
+.idea/
+.git/
+
+**/__pycache__/
+**/hub_datasets/
+
+/data/
+/dotenv/

README.md

@@ -1,3 +1,10 @@
 ---
 license: apache-2.0
+size_categories:
+- 100M<n<1B
 ---
+## DEMAND: a collection of multi-channel recordings of acoustic noise in diverse environments
+
+DEMAND: Diverse Environments Multichannel Acoustic Noise Database
+
+https://zenodo.org/records/1227121

demand.py

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+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+from glob import glob
+import json
+import os
+from pathlib import Path
+
+import datasets
+
+
+_DATA_URL_MAP = {
+    "kitchen_16k": "https://zenodo.org/records/1227121/files/DKITCHEN_16k.zip?download=1",
+    "kitchen_48k": "https://zenodo.org/records/1227121/files/DKITCHEN_48k.zip?download=1",
+    "living_16k": "https://zenodo.org/records/1227121/files/DLIVING_16k.zip?download=1",
+    "living_48k": "https://zenodo.org/records/1227121/files/DLIVING_48k.zip?download=1",
+    "washing_16k": "https://zenodo.org/records/1227121/files/DWASHING_16k.zip?download=1",
+    "washing_48k": "https://zenodo.org/records/1227121/files/DWASHING_48k.zip?download=1",
+    "field_16k": "https://zenodo.org/records/1227121/files/NFIELD_16k.zip?download=1",
+    "field_48k": "https://zenodo.org/records/1227121/files/NFIELD_48k.zip?download=1",
+    "park_16k": "https://zenodo.org/records/1227121/files/NPARK_16k.zip?download=1",
+    "park_48k": "https://zenodo.org/records/1227121/files/NPARK_48k.zip?download=1",
+    "river_16k": "https://zenodo.org/records/1227121/files/NRIVER_16k.zip?download=1",
+    "river_48k": "https://zenodo.org/records/1227121/files/NRIVER_48k.zip?download=1",
+    "hallway_16k": "https://zenodo.org/records/1227121/files/OHALLWAY_16k.zip?download=1",
+    "hallway_48k": "https://zenodo.org/records/1227121/files/OHALLWAY_48k.zip?download=1",
+    "meeting_16k": "https://zenodo.org/records/1227121/files/OMEETING_16k.zip?download=1",
+    "meeting_48k": "https://zenodo.org/records/1227121/files/OMEETING_48k.zip?download=1",
+    "office_16k": "https://zenodo.org/records/1227121/files/OOFFICE_16k.zip?download=1",
+    "office_48k": "https://zenodo.org/records/1227121/files/OOFFICE_48k.zip?download=1",
+    "cafeter_16k": "https://zenodo.org/records/1227121/files/PCAFETER_16k.zip?download=1",
+    "cafeter_48k": "https://zenodo.org/records/1227121/files/PCAFETER_48k.zip?download=1",
+    "resto_16k": "https://zenodo.org/records/1227121/files/PRESTO_16k.zip?download=1",
+    "resto_48k": "https://zenodo.org/records/1227121/files/PRESTO_48k.zip?download=1",
+    "station_16k": "https://zenodo.org/records/1227121/files/PSTATION_16k.zip?download=1",
+    "station_48k": "https://zenodo.org/records/1227121/files/PSTATION_48k.zip?download=1",
+
+    "cafe_48k": "https://zenodo.org/records/1227121/files/SCAFE_48k.zip?download=1",
+
+    "square_16k": "https://zenodo.org/records/1227121/files/SPSQUARE_16k.zip?download=1",
+    "square_48k": "https://zenodo.org/records/1227121/files/SPSQUARE_48k.zip?download=1",
+    "traffic_16k": "https://zenodo.org/records/1227121/files/STRAFFIC_16k.zip?download=1",
+    "traffic_48k": "https://zenodo.org/records/1227121/files/STRAFFIC_48k.zip?download=1",
+    "bus_16k": "https://zenodo.org/records/1227121/files/TBUS_16k.zip?download=1",
+    "bus_48k": "https://zenodo.org/records/1227121/files/TBUS_48k.zip?download=1",
+    "car_16k": "https://zenodo.org/records/1227121/files/TCAR_16k.zip?download=1",
+    "car_48k": "https://zenodo.org/records/1227121/files/TCAR_48k.zip?download=1",
+    "metro_16k": "https://zenodo.org/records/1227121/files/TMETRO_16k.zip?download=1",
+    "metro_48k": "https://zenodo.org/records/1227121/files/TMETRO_48k.zip?download=1",
+
+}
+
+_CITATION = """\
+@dataset{DEMAND,
+  author       = {Xing Tian},
+  title        = {DEMAND},
+  month        = jan,
+  year         = 2025,
+  publisher    = {Xing Tian},
+  version      = {1.0},
+}
+"""
+
+
+_DESCRIPTION = """DEMAND: Diverse Environments Multichannel Acoustic Noise Database"""
+
+
+_VERSION = datasets.Version("1.0.0")
+
+
+_BUILDER_CONFIGS = [
+    datasets.BuilderConfig(name=key, version=_VERSION, description=key)
+    for key in _DATA_URL_MAP.keys()
+]
+
+
+class Demand(datasets.GeneratorBasedBuilder):
+    VERSION = _VERSION
+
+    BUILDER_CONFIGS = _BUILDER_CONFIGS
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "category": datasets.Value("string"),
+                "audio": datasets.Audio(),
+            }
+        )
+
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            homepage="",
+            license="",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_url = _DATA_URL_MAP.get(self.config.name)
+        if data_url is None:
+            raise AssertionError(f"subset {self.config.name} is not available.")
+
+        archive_path = dl_manager.download_and_extract(data_url)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"archive_path": archive_path, "dl_manager": dl_manager},
+            ),
+        ]
+
+    def _generate_examples(self, archive_path, dl_manager):
+        """Yields examples."""
+        archive_path = Path(archive_path)
+
+        sample_idx = 0
+        for filename in archive_path.glob("**/*.wav"):
+            print(filename)
+            yield sample_idx, {
+                "category": filename.parts[-2],
+                "audio": filename.as_posix(),
+            }
+            sample_idx += 1
+
+
+if __name__ == '__main__':
+    pass

main.py

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+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+"""
+### convert to parquet
+
+```text
+参考:
+https://huggingface.co/docs/datasets/main/en/cli#convert-to-parquet
+
+在本地命令行输入 `huggingface-cli login` 后输入 token 登录.
+$ huggingface-cli login
+
+在本地命令行登录成功后执行:
+datasets-cli convert_to_parquet intelli-zen/demand --trust_remote_code
+
+执行完成后, 它会自动在 qgyd2021/demand 的 community 开启一个 duscussion.
+You can find your PR to convert the dataset to Parquet at: https://huggingface.co/datasets/qgyd2021/demand/discussions/1
+
+访问链接在下面找到 Merge, 点击将其合并. 之后, 很快 dataser viewer 就可以查看了.
+
+```
+
+"""
+import argparse
+
+from datasets import load_dataset
+
+from project_settings import project_path
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--dataset_path",
+        default="demand.py",
+        # default="E:/Users/tianx/HuggingDatasets/demand/demand.py",
+        type=str
+    )
+    parser.add_argument("--dataset_name", default="kitchen_16k", type=str)
+    parser.add_argument(
+        "--dataset_cache_dir",
+        default=(project_path / "hub_datasets").as_posix(),
+        type=str
+    )
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = get_args()
+
+    dataset = load_dataset(
+        path=args.dataset_path,
+        name=args.dataset_name,
+        cache_dir=args.dataset_cache_dir,
+        # streaming=True,
+        trust_remote_code=True,
+    )
+    print(dataset.builder_configs)
+    for sample in dataset["train"]:
+        print(sample)
+        print("-" * 150)
+
+    return
+
+
+if __name__ == '__main__':
+    main()

project_settings.py

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+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import os
+from pathlib import Path
+
+
+project_path = os.path.abspath(os.path.dirname(__file__))
+project_path = Path(project_path)
+
+
+if __name__ == '__main__':
+    pass

requirements.txt

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+datasets
+soundfile
+librosa