---
annotations_creators:
- expert-generated
- crowdsourced
language_creators:
- crowdsourced
- expert-generated
language:
- rw
license:
- cc-by-4.0
size_categories:
- 1K<n<10K
task_categories:
- automatic-speech-recognition
tags:
- speech-recognition
- fleurs-dataset
pretty_name: Fleurs dataset Kinyarwanda
---

# Fleur Kinyarwanda dataset
Fleur is a multilingual text and audio dataset. The original dataset was created by [Google](https://huggingface.co/datasets/google/fleurs) . The dataset can be used when building speech to text, speech to text translation and speech to speech translation. It is a good tool to benchmark speech application especially across languages. As of present Kinyarwanda did not have a fleur dataset hindering opportunities for building Kinyarwanda speech technology.

This dataset was created by 29 linguists that participated in the Training NLP for Linguist with a focus on Machine translation.

## Dataset Creation
The recordings are made of 2-4 different recordings for each sentence 

### Data Fields

The data fields are the same among all splits.
- **id** (int): ID of audio sample
- **num_samples** (int): Number of float values
- **path** (str): Path to the audio file
- **audio** (dict): Audio object including loaded audio array, sampling rate and path ot audio
- **raw_transcription** (str): The non-normalized transcription of the audio file
- **transcription** (str): Transcription of the audio file
- **gender** (int): Class id of gender
- **lang_id** (int): Class id of language
- **lang_group_id** (int): Class id of language group

### Contribution
Thanks to all the linguist who contributed and their teacher Samuel Olanrewaju and thanks [Kleber Kabanda](https://huggingface.co/Kleber) for curating and uploading the dataset