Upload README (1).md

README (1).md

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+---
+pretty_name: VIVOS
+annotations_creators:
+- expert-generated
+language_creators:
+- crowdsourced
+- expert-generated
+language:
+- vi
+license:
+- cc-by-nc-sa-4.0
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- automatic-speech-recognition
+task_ids: []
+dataset_info:
+  features:
+  - name: speaker_id
+    dtype: string
+  - name: path
+    dtype: string
+  - name: audio
+    dtype:
+      audio:
+        sampling_rate: 16000
+  - name: sentence
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 1722002133
+    num_examples: 11660
+  - name: test
+    num_bytes: 86120227
+    num_examples: 760
+  download_size: 1475540500
+  dataset_size: 1808122360
+---
+
+# Dataset Card for VIVOS
+
+## Table of Contents
+- [Dataset Card for VIVOS](#dataset-card-for-vivos)
+  - [Table of Contents](#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)
+      - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
+      - [Who are the source language producers?](#who-are-the-source-language-producers)
+    - [Annotations](#annotations)
+      - [Annotation process](#annotation-process)
+      - [Who are the annotators?](#who-are-the-annotators)
+    - [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:** https://doi.org/10.5281/zenodo.7068130
+- **Repository:** [Needs More Information]
+- **Paper:** [A non-expert Kaldi recipe for Vietnamese Speech Recognition System](https://aclanthology.org/W16-5207/)
+- **Leaderboard:** [Needs More Information]
+- **Point of Contact:** [AILAB](mailto:ailab@hcmus.edu.vn)
+
+### Dataset Summary
+
+VIVOS is a free Vietnamese speech corpus consisting of 15 hours of recording speech prepared for Vietnamese Automatic Speech Recognition task.
+
+The corpus was prepared by AILAB, a computer science lab of VNUHCM - University of Science, with Prof. Vu Hai Quan is the head of.
+
+We publish this corpus in hope to attract more scientists to solve Vietnamese speech recognition problems.
+
+### Supported Tasks and Leaderboards
+
+[Needs More Information]
+
+### Languages
+
+Vietnamese
+
+## Dataset Structure
+
+### Data Instances
+
+A typical data point comprises the path to the audio file, called `path` and its transcription, called `sentence`. Some additional information about the speaker and the passage which contains the transcription is provided.
+
+```
+{'speaker_id': 'VIVOSSPK01',
+ 'path': '/home/admin/.cache/huggingface/datasets/downloads/extracted/b7ded9969e09942ab65313e691e6fc2e12066192ee8527e21d634aca128afbe2/vivos/train/waves/VIVOSSPK01/VIVOSSPK01_R001.wav',
+ 'audio': {'path': '/home/admin/.cache/huggingface/datasets/downloads/extracted/b7ded9969e09942ab65313e691e6fc2e12066192ee8527e21d634aca128afbe2/vivos/train/waves/VIVOSSPK01/VIVOSSPK01_R001.wav',
+		   'array': array([-0.00048828, -0.00018311, -0.00137329, ...,  0.00079346, 0.00091553,  0.00085449], dtype=float32),
+		   'sampling_rate': 16000},
+ 'sentence': 'KHÁCH SẠN'}
+```
+
+### Data Fields
+
+- speaker_id: An id for which speaker (voice) made the recording
+
+- path: The path to the audio file
+
+- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`.
+
+- sentence: The sentence the user was prompted to speak
+
+### Data Splits
+
+The speech material has been subdivided into portions for train and test.
+
+Speech was recorded in a quiet environment with high quality microphone, speakers were asked to read one sentence at a time.
+
+|                  | Train | Test  |
+| ---------------- | ----- | ----- |
+| Speakers         | 46    | 19    | 
+| Utterances       | 11660 | 760   |
+| Duration         | 14:55 | 00:45 |
+| Unique Syllables | 4617  | 1692  |
+
+## 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
+
+The dataset consists of people who have donated their voice online.  You agree to not attempt to determine the identity of speakers in this dataset.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed] 
+
+### Other Known Limitations
+
+Dataset provided for research purposes only. Please check dataset license for additional information. 
+
+## Additional Information
+
+### Dataset Curators
+
+The dataset was initially prepared by AILAB, a computer science lab of VNUHCM - University of Science.
+
+### Licensing Information
+
+Public Domain, Creative Commons Attribution NonCommercial ShareAlike v4.0 ([CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode))
+
+### Citation Information
+
+```
+@inproceedings{luong-vu-2016-non,
+    title = "A non-expert {K}aldi recipe for {V}ietnamese Speech Recognition System",
+    author = "Luong, Hieu-Thi  and
+      Vu, Hai-Quan",
+    booktitle = "Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies ({WLSI}/{OIAF}4{HLT}2016)",
+    month = dec,
+    year = "2016",
+    address = "Osaka, Japan",
+    publisher = "The COLING 2016 Organizing Committee",
+    url = "https://aclanthology.org/W16-5207",
+    pages = "51--55",
+}
+```
+
+### Contributions
+
+Thanks to [@binh234](https://github.com/binh234) for adding this dataset.