# Dataset Card for Banc Trawsgrifiadau Bangor

This dataset is a bank of 20 hours 6 minutes and 49 seconds of segments of natural speech from over 50 contributors in mp3 file format, together with corresponding 'verbatim' transcripts of the speech in .tsv file format. The majority of the speech is spontaneous, natural speech. The dataset was distributed by Canolfan Bedwyr under a CC0 open license. The original dataset can be found here: [link](https://git.techiaith.bangor.ac.uk/data-porth-technolegau-iaith/banc-trawsgrifiadau-bangor).

## Data Fields

`audio_filename` (`string`): The name of the audio file within the 'clips' folder

`audio_filesize` (`int64`): The size of the file

`audio` (`dict`): 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]`.

`transcript` (`string`): The transcript of the audio clip

`duration` (`duration[ms]`): Duration of the clip in milliseconds


## Licensing Information

The dataset was created by Canolfan Bedwyr, partly funded by the Welsh Government, and released under
[Creative Commons Zero v.1.0 Universal](https://git.techiaith.bangor.ac.uk/data-porth-technolegau-iaith/banc-trawsgrifiadau-bangor/-/blob/master/LICENSE)
task_categories:automatic-speech-recognition size_categories:10K<n<100K language:cy license:cc0-1.0 region:us
{"language": ["cy"], "license": "cc0-1.0", "size_categories": ["10K<n<100K"], "task_categories": ["automatic-speech-recognition"]}
TAGS
#task_categories-automatic-speech-recognition #size_categories-10K<n<100K #language-Welsh #license-cc0-1.0 #region-us 

# Dataset Card for Banc Trawsgrifiadau Bangor

This dataset is a bank of 20 hours 6 minutes and 49 seconds of segments of natural speech from over 50 contributors in mp3 file format, together with corresponding 'verbatim' transcripts of the speech in .tsv file format. The majority of the speech is spontaneous, natural speech. The dataset was distributed by Canolfan Bedwyr under a CC0 open license. The original dataset can be found here: link.

## Data Fields

'audio_filename' ('string'): The name of the audio file within the 'clips' folder

'audio_filesize' ('int64'): The size of the file

'audio' ('dict'): 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]'.

'transcript' ('string'): The transcript of the audio clip

'duration' ('duration[ms]'): Duration of the clip in milliseconds


## Licensing Information

The dataset was created by Canolfan Bedwyr, partly funded by the Welsh Government, and released under
Creative Commons Zero v.1.0 Universal
# Dataset Card for Banc Trawsgrifiadau Bangor

This dataset is a bank of 20 hours 6 minutes and 49 seconds of segments of natural speech from over 50 contributors in mp3 file format, together with corresponding 'verbatim' transcripts of the speech in .tsv file format. The majority of the speech is spontaneous, natural speech. The dataset was distributed by Canolfan Bedwyr under a CC0 open license. The original dataset can be found here: link. ## Data Fields

'audio_filename' ('string'): The name of the audio file within the 'clips' folder

'audio_filesize' ('int64'): The size of the file

'audio' ('dict'): 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]'.

'transcript' ('string'): The transcript of the audio clip

'duration' ('duration[ms]'): Duration of the clip in milliseconds ## Licensing Information

The dataset was created by Canolfan Bedwyr, partly funded by the Welsh Government, and released under
Creative Commons Zero v.1.0 Universal
TAGS
#task_categories-automatic-speech-recognition #size_categories-10K<n<100K #language-Welsh #license-cc0-1.0 #region-us 
 # Dataset Card for Banc Trawsgrifiadau Bangor

This dataset is a bank of 20 hours 6 minutes and 49 seconds of segments of natural speech from over 50 contributors in mp3 file format, together with corresponding 'verbatim' transcripts of the speech in .tsv file format. The majority of the speech is spontaneous, natural speech. The dataset was distributed by Canolfan Bedwyr under a CC0 open license. The original dataset can be found here: link. ## Data Fields

'audio_filename' ('string'): The name of the audio file within the 'clips' folder

'audio_filesize' ('int64'): The size of the file

'audio' ('dict'): 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]'.

'transcript' ('string'): The transcript of the audio clip

'duration' ('duration[ms]'): Duration of the clip in milliseconds ## Licensing Information

The dataset was created by Canolfan Bedwyr, partly funded by the Welsh Government, and released under
Creative Commons Zero v.1.0 Universal
passage: TAGS
#task_categories-automatic-speech-recognition #size_categories-10K<n<100K #language-Welsh #license-cc0-1.0 #region-us 
# Dataset Card for Banc Trawsgrifiadau Bangor

This dataset is a bank of 20 hours 6 minutes and 49 seconds of segments of natural speech from over 50 contributors in mp3 file format, together with corresponding 'verbatim' transcripts of the speech in .tsv file format. The majority of the speech is spontaneous, natural speech. The dataset was distributed by Canolfan Bedwyr under a CC0 open license. The original dataset can be found here: link.## Data Fields

'audio_filename' ('string'): The name of the audio file within the 'clips' folder

'audio_filesize' ('int64'): The size of the file

'audio' ('dict'): 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]'.

'transcript' ('string'): The transcript of the audio clip

'duration' ('duration[ms]'): Duration of the clip in milliseconds## Licensing Information

The dataset was created by Canolfan Bedwyr, partly funded by the Welsh Government, and released under
Creative Commons Zero v.1.0 Universal