Datasets:
Tasks:
Automatic Speech Recognition
Languages:
Chinese
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
crowdsourced
Annotations Creators:
expert-generated
Source Datasets:
original
License:
annotations_creators: | |
- expert-generated | |
language: | |
- zh | |
language_creators: | |
- crowdsourced | |
license: | |
- cc-by-nc-nd-4.0 | |
multilinguality: | |
- monolingual | |
pretty_name: MAGICDATA_Mandarin_Chinese_Read_Speech_Corpus | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- original | |
tags: [] | |
task_categories: | |
- automatic-speech-recognition | |
task_ids: [] | |
# Dataset Card for MMCRSC | |
## Table of Contents | |
- [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) | |
- [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:** [MAGICDATA Mandarin Chinese Read Speech Corpus](https://openslr.org/68/) | |
- **Repository:** | |
- **Paper:** | |
- **Leaderboard:** | |
- **Point of Contact:** | |
### Dataset Summary | |
MAGICDATA Mandarin Chinese Read Speech Corpus was developed by MAGIC DATA Technology Co., Ltd. and freely published for non-commercial use. | |
The contents and the corresponding descriptions of the corpus include: | |
The corpus contains 755 hours of speech data, which is mostly mobile recorded data. | |
1080 speakers from different accent areas in China are invited to participate in the recording. | |
The sentence transcription accuracy is higher than 98%. | |
Recordings are conducted in a quiet indoor environment. | |
The database is divided into training set, validation set, and testing set in a ratio of 51: 1: 2. | |
Detail information such as speech data coding and speaker information is preserved in the metadata file. | |
The domain of recording texts is diversified, including interactive Q&A, music search, SNS messages, home command and control, etc. | |
Segmented transcripts are also provided. | |
The corpus aims to support researchers in speech recognition, machine translation, speaker recognition, and other speech-related fields. Therefore, the corpus is totally free for academic use. | |
The corpus is a subset of a much bigger data ( 10566.9 hours Chinese Mandarin Speech Corpus ) set which was recorded in the same environment. Please feel free to contact us via business@magicdatatech.com for more details. | |
### Supported Tasks and Leaderboards | |
[More Information Needed] | |
### Languages | |
zh-CN | |
## Dataset Structure | |
### Data Instances | |
```json | |
{ | |
'file': '14_3466_20170826171404.wav', | |
'audio': { | |
'path': '14_3466_20170826171404.wav', | |
'array': array([0., 0., 0., ..., 0., 0., 0.]), | |
'sampling_rate': 16000 | |
}, | |
'text': '请搜索我附近的超市', | |
'speaker_id': 143466, | |
'id': '14_3466_20170826171404.wav' | |
} | |
``` | |
### Data Fields | |
- file: A path to the downloaded audio file in .wav format. | |
- 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]`. | |
- text: the transcription of the audio file. | |
- id: unique id of the data sample. | |
- speaker_id: unique id of the speaker. The same speaker id can be found for multiple data samples. | |
### Data Splits | |
[More Information Needed] | |
## Dataset Creation | |
### Curation Rationale | |
[More Information Needed] | |
### Source Data | |
#### Initial Data Collection and Normalization | |
[More Information Needed] | |
#### Who are the source language producers? | |
[More Information Needed] | |
### Annotations | |
#### Annotation process | |
[More Information Needed] | |
#### Who are the annotators? | |
[More Information Needed] | |
### Personal and Sensitive Information | |
[More Information Needed] | |
## Considerations for Using the Data | |
### Social Impact of Dataset | |
[More Information Needed] | |
### Discussion of Biases | |
[More Information Needed] | |
### Other Known Limitations | |
[More Information Needed] | |
## Additional Information | |
### Dataset Curators | |
[More Information Needed] | |
### Licensing Information | |
[More Information Needed] | |
### Citation Information | |
Please cite the corpus as "Magic Data Technology Co., Ltd., "http://www.imagicdatatech.com/index.php/home/dataopensource/data_info/id/101", 05/2019". | |