Datasets:
Add Metadata information
Browse files- README.md +43 -1
- dataset_card.yaml +0 -41
README.md
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@@ -115,6 +115,48 @@ This version was created after some shallow cleaning on the transcriptions and r
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## Citation
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If you use this dataset in your research or project, please give credit to the creators of the original
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---
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## Citation
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If you use this dataset in your research or project, please give credit to the creators of the original [Jeli-ASR dataset](https://github.com/robotsmali-ai/jeli-asr).
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---
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language:
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- bm # ISO 639-1 code for Bambara
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- fr # ISO 639-1 code for French
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pretty_name: "Jeli-ASR Audio Dataset"
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tags:
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- audio
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- transcription
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- multilingual
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- Bambara
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- French
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license: "CC-BY-4.0 license" # Replace with the appropriate license for your dataset
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task_categories:
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- automatic-speech-recognition
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- translation
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task_ids:
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- speech-to-text
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- translation-text-to-text
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annotations_creators:
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- semi-expert
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language_creators:
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- crowdsourced # If the data was annotated or recorded by a team
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source_datasets:
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- jeli-asr
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size_categories:
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- 10GB<
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dataset_info:
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audio_format: "wav"
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total_audio_files: 11533
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total_duration_hours: ~30
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features:
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audio:
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- path: string
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transcription:
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- bam: string
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- french: string
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description: |
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The **Jeli Audio Dataset** is a multilingual audio dataset containing audio samples
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in Bambara and French. Each audio file is paired with its transcription in Bambara or
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its translation in French (available in manifest files). The dataset is designed for tasks
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like automatic speech recognition (ASR) and translation.
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Data was recorded in an organized setup in Mali with griots and semi-professionally transcribed, and translated into French.
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---
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dataset_card.yaml
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language:
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- bm # ISO 639-1 code for Bambara
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- fr # ISO 639-1 code for French
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pretty_name: "Jeli-ASR Audio Dataset"
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tags:
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- audio
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- transcription
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- multilingual
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- Bambara
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- French
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license: "CC-BY-4.0 license" # Replace with the appropriate license for your dataset
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task_categories:
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- automatic-speech-recognition
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- translation
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task_ids:
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- speech-to-text
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- translation-text-to-text
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annotations_creators:
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- semi-expert
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language_creators:
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- crowdsourced # If the data was annotated or recorded by a team
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source_datasets:
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- jeli-asr
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size_categories:
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- 10GB<
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dataset_info:
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audio_format: "wav"
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total_audio_files: 11533
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total_duration_hours: ~30
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features:
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audio:
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- path: string
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transcription:
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- bam: string
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- french: string
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description: |
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The **Jeli Audio Dataset** is a multilingual audio dataset containing audio samples
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in Bambara and French. Each audio file is paired with its transcription in Bambara or
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its translation in French (available in manifest files). The dataset is designed for tasks
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like automatic speech recognition (ASR) and translation.
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Data was recorded in an organized setup in Mali with griots and semi-professionally transcribed, and translated into French.
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