add initfiles

README.md

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 ---
 license: cc-by-sa-4.0
+annotations_creators:
+- unknown
+language_creators:
+- unknown
+size_categories:
+- 100K<n<100M
+source_datasets:
+- unknown
+task_categories:
+- audio-classification
+task_ids:
+- other-audio-slot-filling
 ---
+
+# Dataset Card for audioset2022
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+- **Homepage:** [AudioSet Ontology](https://research.google.com/audioset/ontology/index.html)
+- **Repository:** [Needs More Information]
+- **Paper:** [Audio Set: An ontology and human-labeled dataset for audio events](https://research.google.com/pubs/pub45857.html)
+- **Leaderboard:** [Paperswithcode Leaderboard](https://paperswithcode.com/dataset/audioset)
+
+### Dataset Summary
+
+The AudioSet ontology is a collection of sound events organized in a hierarchy. The ontology covers a wide range of everyday sounds, from human and animal sounds, to natural and environmental sounds, to musical and miscellaneous sounds.
+
+**This repository only includes audio files for DCASE 2022 - Task 3**
+
+### Supported Tasks and Leaderboards
+
+- `audio-classification`: The dataset can be used to train a model for Sound Event Detection/Localization.
+
+**The recordings only includes the single channel audio. For Localization tasks, it will required to apply RIR information**
+
+### Languages
+
+None
+
+
+## Dataset Structure
+
+### Data Instances
+
+**WIP**
+```
+{
+    'file': 
+
+}
+```
+
+### Data Fields
+
+- file: A path to the downloaded audio file in .mp3 format.
+
+### Data Splits
+
+This dataset only includes audio file from the unbalance train list.
+The data comprises two splits: weak labels and strong labels.
+
+## Dataset Creation
+
+### Curation Rationale
+[Needs More Information]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+[Needs More Information]
+
+#### Who are the source language producers?
+[Needs More Information]
+
+### Annotations
+
+#### Annotation process
+[Needs More Information]
+
+#### Who are the annotators?
+[Needs More Information]
+
+### Personal and Sensitive Information
+[Needs More Information]
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+[More Information Needed]
+
+### Discussion of Biases
+[More Information Needed]
+
+### Other Known Limitations
+[Needs More Information]
+
+## Additional Information
+
+### Dataset Curators
+The dataset was initially downloaded by Nelson Yalta (nelson.yalta@ieee.org).
+
+### Licensing Information
+[CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0)
+
+### Citation Information
+
+```
+@inproceedings{45857,
+title	= {Audio Set: An ontology and human-labeled dataset for audio events},
+author	= {Jort F. Gemmeke and Daniel P. W. Ellis and Dylan Freedman and Aren Jansen and Wade Lawrence and R. Channing Moore and Manoj Plakal and Marvin Ritter},
+year	= {2017},
+booktitle	= {Proc. IEEE ICASSP 2017},
+address	= {New Orleans, LA}
+}
+```

audioset2022.py

@@ -0,0 +1,20 @@
+# coding=utf-8
+
+# Copyright 2022 Nelson Yalta (Hitachi Ltd.)
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Speech Commands, an audio dataset of spoken words designed to help train and evaluate keyword spotting systems. """
+
+
+import datasets