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.argilla/dataset.json

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+{
+  "id": "b66d9570-3f70-4f37-ba79-c713e1049976",
+  "name": "darija_tts_validation",
+  "guidelines": "# 🎯 Instructions de validation\n\n## Étapes à suivre :\n\n1. **🎧 Écoutez l'audio** : Vérifiez la qualité audio\n2. **📝 Comparez les transcriptions** : Lisez l'originale ET la corrigée\n3. **✅ Donnez votre décision** : Approuvé / À réviser\n5. **💬 Commentez si nécessaire** : Ajoutez des remarques\n\n## Critères de validation :\n- ✅ **Approuvé** : La transcription corrigée est exacte et validée\n- ⚠️ **À réviser** : Nécessite des modifications mineures\n\n**Merci pour votre travail de validation ! 🙏**",
+  "allow_extra_metadata": false,
+  "status": "ready",
+  "distribution": {
+    "strategy": "overlap",
+    "min_submitted": 1
+  },
+  "metadata": null,
+  "workspace_id": "e708a8d9-8e8c-42a1-987d-20e8e289283f",
+  "last_activity_at": "2025-12-22T13:53:23.547298",
+  "inserted_at": "2025-12-17T10:21:58.761400",
+  "updated_at": "2025-12-17T10:22:00.480912"
+}

.argilla/settings.json

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+{
+  "guidelines": "# 🎯 Instructions de validation\n\n## Étapes à suivre :\n\n1. **🎧 Écoutez l'audio** : Vérifiez la qualité audio\n2. **📝 Comparez les transcriptions** : Lisez l'originale ET la corrigée\n3. **✅ Donnez votre décision** : Approuvé / À réviser\n5. **💬 Commentez si nécessaire** : Ajoutez des remarques\n\n## Critères de validation :\n- ✅ **Approuvé** : La transcription corrigée est exacte et validée\n- ⚠️ **À réviser** : Nécessite des modifications mineures\n\n**Merci pour votre travail de validation ! 🙏**",
+  "allow_extra_metadata": false,
+  "distribution": {
+    "strategy": "overlap",
+    "min_submitted": 1
+  },
+  "fields": [
+    {
+      "id": "928687d3-693a-43b8-b10d-b1db9d03230a",
+      "name": "audio",
+      "title": "Audio",
+      "required": true,
+      "settings": {
+        "type": "custom",
+        "template": "\n<style>\n    .audio-container {\n        padding: 15px;\n        background: #f5f5f5;\n        border-radius: 8px;\n        margin: 10px 0;\n    }\n    .audio-player {\n        width: 100%;\n        margin-top: 10px;\n    }\n    .audio-info {\n        color: #666;\n        font-size: 12px;\n        margin-top: 5px;\n    }\n</style>\n<div class=\"audio-container\">\n    <h4>🎵 Fichier Audio</h4>\n    <audio controls class=\"audio-player\">\n        <source src=\"{{record.fields.audio.value}}\" type=\"audio/wav\">\n        Votre navigateur ne supporte pas l'élément audio.\n    </audio>\n    <div class=\"audio-info\">\n        💡 Cliquez sur play pour écouter l'audio\n    </div>\n</div>\n",
+        "advanced_mode": false
+      },
+      "dataset_id": "b66d9570-3f70-4f37-ba79-c713e1049976",
+      "inserted_at": "2025-12-17T10:21:59.872304",
+      "updated_at": "2025-12-17T10:21:59.872304"
+    },
+    {
+      "id": "e7fcaeb4-ceac-41da-b767-f2c856f7ce54",
+      "name": "transcription_originale",
+      "title": "Transcription originale",
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "b66d9570-3f70-4f37-ba79-c713e1049976",
+      "inserted_at": "2025-12-17T10:21:59.955459",
+      "updated_at": "2025-12-17T10:21:59.955459"
+    },
+    {
+      "id": "9610e210-4c88-4df1-8b38-8c70396f872c",
+      "name": "transcription_corrigee",
+      "title": "Transcription corrigée par l'annotateur",
+      "required": true,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "b66d9570-3f70-4f37-ba79-c713e1049976",
+      "inserted_at": "2025-12-17T10:22:00.000854",
+      "updated_at": "2025-12-17T10:22:00.000854"
+    },
+    {
+      "id": "9c850323-359a-408d-b4dc-5d0d9c4968ef",
+      "name": "filename",
+      "title": "Nom du fichier",
+      "required": false,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "b66d9570-3f70-4f37-ba79-c713e1049976",
+      "inserted_at": "2025-12-17T10:22:00.064671",
+      "updated_at": "2025-12-17T10:22:00.064671"
+    },
+    {
+      "id": "4360f6da-4c0b-4e40-809c-fb9aa11acc9d",
+      "name": "annotator_info",
+      "title": "Information annotateur",
+      "required": false,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "b66d9570-3f70-4f37-ba79-c713e1049976",
+      "inserted_at": "2025-12-17T10:22:00.112611",
+      "updated_at": "2025-12-17T10:22:00.112611"
+    }
+  ],
+  "questions": [
+    {
+      "id": "80fea17f-517f-49c1-a2be-2fddb6c782ae",
+      "name": "validation_decision",
+      "title": "✅ Décision de validation",
+      "description": "Approuvez-vous la transcription corrigée?",
+      "required": true,
+      "settings": {
+        "type": "label_selection",
+        "options": [
+          {
+            "value": "approuvé",
+            "text": "approuvé",
+            "description": null
+          },
+          {
+            "value": "à réviser",
+            "text": "à réviser",
+            "description": null
+          }
+        ],
+        "visible_options": null
+      },
+      "dataset_id": "b66d9570-3f70-4f37-ba79-c713e1049976",
+      "inserted_at": "2025-12-17T10:22:00.242935",
+      "updated_at": "2025-12-17T10:22:00.242935"
+    },
+    {
+      "id": "8975ce1f-3a0c-447c-87fa-85bef4dde20d",
+      "name": "validation_comments",
+      "title": "💬 Commentaires de validation",
+      "description": "Ajoutez vos remarques ou corrections supplémentaires",
+      "required": false,
+      "settings": {
+        "type": "text",
+        "use_markdown": false
+      },
+      "dataset_id": "b66d9570-3f70-4f37-ba79-c713e1049976",
+      "inserted_at": "2025-12-17T10:22:00.288017",
+      "updated_at": "2025-12-17T10:22:00.288017"
+    }
+  ],
+  "metadata": [],
+  "vectors": []
+}

.argilla/version.json

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+{
+  "argilla": "2.8.0"
+}

README.md

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 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: status
-    dtype: string
-  - name: inserted_at
-    dtype: timestamp[us]
-  - name: updated_at
-    dtype: timestamp[us]
-  - name: _server_id
-    dtype: string
-  - name: audio
-    struct:
-    - name: value
-      dtype: string
-  - name: transcription_originale
-    dtype: string
-  - name: transcription_corrigee
-    dtype: string
-  - name: filename
-    dtype: string
-  - name: annotator_info
-    dtype: string
-  - name: validation_decision.responses
-    sequence: string
-  - name: validation_decision.responses.users
-    sequence: string
-  - name: validation_decision.responses.status
-    sequence: string
-  - name: validation_comments.responses
-    sequence: 'null'
-  - name: validation_comments.responses.users
-    sequence: string
-  - name: validation_comments.responses.status
-    sequence: string
-  splits:
-  - name: train
-    num_bytes: 2479859
-    num_examples: 1
-  download_size: 2493009
-  dataset_size: 2479859
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+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]