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---
tags:
- rlfh
- argilla
- human-feedback
---
# Dataset Card for TestAudio
This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets).
## Using this dataset with Argilla
To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
```python
import argilla as rg
ds = rg.Dataset.from_hub("HafssaRabah/TestAudio", settings="auto")
```
This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
## Using this dataset with `datasets`
To load the records of this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code:
```python
from datasets import load_dataset
ds = load_dataset("HafssaRabah/TestAudio")
```
This will only load the records of the dataset, but not the Argilla settings.
## Dataset Structure
This dataset repo contains:
* Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `rg.Dataset.from_hub` and can be loaded independently using the `datasets` library via `load_dataset`.
* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
* A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
### Fields
The **fields** are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset.
| Field Name | Title | Type | Required |
| ---------- | ----- | ---- | -------- |
| audio | Audio | custom | True |
| transcription_originale | Transcription originale | text | True |
| transcription_corrigee | Transcription corrigée par l'annotateur | text | True |
| filename | Nom du fichier | text | False |
| annotator_info | Information annotateur | text | False |
### Questions
The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.
| Question Name | Title | Type | Required | Description | Values/Labels |
| ------------- | ----- | ---- | -------- | ----------- | ------------- |
| validation_decision | ✅ Décision de validation | label_selection | True | Approuvez-vous la transcription corrigée? | ['approuvé', 'à réviser'] |
| validation_comments | 💬 Commentaires de validation | text | False | Ajoutez vos remarques ou corrections supplémentaires | N/A |
<!-- check length of metadata properties -->
### Data Splits
The dataset contains a single split, which is `train`.
## 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 guidelines
# 🎯 Instructions de validation
## Étapes à suivre :
1. **🎧 Écoutez l'audio** : Vérifiez la qualité audio
2. **📝 Comparez les transcriptions** : Lisez l'originale ET la corrigée
3. **✅ Donnez votre décision** : Approuvé / À réviser
5. **💬 Commentez si nécessaire** : Ajoutez des remarques
## Critères de validation :
- ✅ **Approuvé** : La transcription corrigée est exacte et validée
- ⚠️ **À réviser** : Nécessite des modifications mineures
**Merci pour votre travail de validation ! 🙏**
#### 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
[More Information Needed]
### Contributions
[More Information Needed] |