Upload folder using huggingface_hub
Browse files- .argilla/dataset.json +16 -0
- .argilla/settings.json +151 -0
- .argilla/version.json +3 -0
- README.md +163 -51
.argilla/dataset.json
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{
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"id": "dfb6b1a6-4be5-45c4-8b17-b1657f92a16b",
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"name": "darija-speech-validation-dataset",
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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** : Accepté / À ajuster / Refusé\n4. **💬 Commentez si nécessaire** : Ajoutez des remarques\n\n## Critères de validation :\n- ✅ **Accepté** : La transcription corrigée est exacte et validée\n- ⚠️ **À ajuster** : Nécessite des modifications mineures\n- ❌ **Refusé** : Doit être entièrement refait\n\n**Merci pour votre travail de validation ! 🙏**",
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"allow_extra_metadata": false,
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"status": "ready",
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"distribution": {
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"strategy": "overlap",
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"min_submitted": 1
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},
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"metadata": null,
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"workspace_id": "994b8e56-1615-421f-baeb-35a22f51c2e9",
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"last_activity_at": "2025-12-31T14:56:27.569746",
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"inserted_at": "2025-12-31T11:31:34.467015",
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"updated_at": "2025-12-31T11:31:35.680020"
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}
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.argilla/settings.json
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{
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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** : Accepté / À ajuster / Refusé\n4. **💬 Commentez si nécessaire** : Ajoutez des remarques\n\n## Critères de validation :\n- ✅ **Accepté** : La transcription corrigée est exacte et validée\n- ⚠️ **À ajuster** : Nécessite des modifications mineures\n- ❌ **Refusé** : Doit être entièrement refait\n\n**Merci pour votre travail de validation ! 🙏**",
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"allow_extra_metadata": false,
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"distribution": {
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"strategy": "overlap",
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"min_submitted": 1
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},
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"fields": [
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{
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"id": "985211ff-0f58-43bb-85d7-b02ca0bc7046",
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"name": "Audio",
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"title": "Audio",
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"required": true,
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"settings": {
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"type": "custom",
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"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",
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"advanced_mode": false
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},
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"dataset_id": "dfb6b1a6-4be5-45c4-8b17-b1657f92a16b",
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"inserted_at": "2025-12-31T11:31:35.081580",
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"updated_at": "2025-12-31T11:31:35.081580"
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},
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{
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"id": "cef3630b-e42f-496b-944a-b08c58672a0e",
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"name": "Text",
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"title": "Transcription originale",
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"required": true,
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"settings": {
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"type": "text",
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"use_markdown": false
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},
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"dataset_id": "dfb6b1a6-4be5-45c4-8b17-b1657f92a16b",
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"inserted_at": "2025-12-31T11:31:35.125250",
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"updated_at": "2025-12-31T11:31:35.125250"
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},
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{
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"id": "0a50d0ed-e6ae-47ce-a965-739c6ee3fd2c",
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"name": "transcription_corrigee",
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"title": "Transcription corrigée par l'annotateur",
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"required": true,
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"settings": {
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"type": "text",
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"use_markdown": false
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},
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"dataset_id": "dfb6b1a6-4be5-45c4-8b17-b1657f92a16b",
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"inserted_at": "2025-12-31T11:31:35.189818",
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"updated_at": "2025-12-31T11:31:35.189818"
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},
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{
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"id": "5d38bdcf-f93f-4871-b051-6c909d5f9bf8",
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"name": "Orthography",
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"title": "Orthography",
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"required": false,
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"settings": {
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"type": "text",
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"use_markdown": false
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},
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"dataset_id": "dfb6b1a6-4be5-45c4-8b17-b1657f92a16b",
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"inserted_at": "2025-12-31T11:31:35.248028",
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"updated_at": "2025-12-31T11:31:35.248028"
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},
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{
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"id": "6723640d-b5ce-4e33-8532-313294733c83",
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"name": "Source",
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"title": "Source",
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"required": false,
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"settings": {
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"type": "text",
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"use_markdown": false
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},
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"dataset_id": "dfb6b1a6-4be5-45c4-8b17-b1657f92a16b",
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"inserted_at": "2025-12-31T11:31:35.314403",
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"updated_at": "2025-12-31T11:31:35.314403"
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},
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{
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"id": "1f3fa3a5-64de-4cf5-aefb-0499d03f667e",
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"name": "Duration",
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"title": "Duration",
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"required": false,
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"settings": {
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"type": "text",
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"use_markdown": false
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},
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"dataset_id": "dfb6b1a6-4be5-45c4-8b17-b1657f92a16b",
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"inserted_at": "2025-12-31T11:31:35.382342",
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"updated_at": "2025-12-31T11:31:35.382342"
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},
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{
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"id": "c037070c-c985-4d7b-be5e-dd91d15e7b16",
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"name": "source_record_id",
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"title": "Source Record ID",
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"required": false,
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"settings": {
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"type": "text",
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"use_markdown": false
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},
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"dataset_id": "dfb6b1a6-4be5-45c4-8b17-b1657f92a16b",
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"inserted_at": "2025-12-31T11:31:35.443913",
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"updated_at": "2025-12-31T11:31:35.443913"
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}
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],
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"questions": [
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{
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"id": "cafe18a3-8859-44e8-9544-b7057cea2aa9",
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"name": "validation_decision",
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"title": "✅ Décision de validation",
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"description": "Approuvez-vous la transcription corrigée?",
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"required": true,
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"settings": {
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"type": "label_selection",
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"options": [
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{
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"value": "Accepté",
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"text": "Accepté",
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"description": null
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},
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{
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"value": "À ajuster",
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"text": "À ajuster",
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"description": null
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},
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{
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"value": "Refusé",
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"text": "Refusé",
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"description": null
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}
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],
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"visible_options": 3
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},
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"dataset_id": "dfb6b1a6-4be5-45c4-8b17-b1657f92a16b",
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| 131 |
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"inserted_at": "2025-12-31T11:31:35.560898",
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"updated_at": "2025-12-31T11:31:35.560898"
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},
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{
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"id": "5432fb33-d7d6-4c97-ac4e-99efbf87ee39",
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"name": "validation_comments",
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| 137 |
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"title": "💬 Commentaires de validation",
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| 138 |
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"description": "Ajoutez vos remarques ou corrections supplémentaires",
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"required": false,
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"settings": {
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"type": "text",
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"use_markdown": false
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},
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"dataset_id": "dfb6b1a6-4be5-45c4-8b17-b1657f92a16b",
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"inserted_at": "2025-12-31T11:31:35.590555",
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"updated_at": "2025-12-31T11:31:35.590555"
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}
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],
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"metadata": [],
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"vectors": []
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}
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.argilla/version.json
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{
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"argilla": "2.8.0"
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}
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README.md
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---
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-
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- name: status
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dtype: string
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- name: inserted_at
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dtype: timestamp[us]
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- name: updated_at
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dtype: timestamp[us]
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- name: _server_id
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dtype: string
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- name: Audio
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struct:
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- name: value
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dtype: string
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- name: Text
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dtype: string
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- name: transcription_corrigee
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dtype: string
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- name: Orthography
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dtype: string
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- name: Source
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dtype: string
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- name: Duration
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dtype: string
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- name: source_record_id
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dtype: string
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- name: validation_decision.responses
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sequence: string
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- name: validation_decision.responses.users
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sequence: string
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- name: validation_decision.responses.status
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sequence: string
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- name: validation_comments.responses
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sequence: 'null'
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- name: validation_comments.responses.users
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sequence: string
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- name: validation_comments.responses.status
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sequence: string
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splits:
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- name: train
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num_bytes: 307372
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num_examples: 3
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download_size: 302683
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dataset_size: 307372
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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| 1 |
---
|
| 2 |
+
tags:
|
| 3 |
+
- rlfh
|
| 4 |
+
- argilla
|
| 5 |
+
- human-feedback
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| 6 |
---
|
| 7 |
+
|
| 8 |
+
# Dataset Card for Audio-Validation-Test3
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
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).
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Using this dataset with Argilla
|
| 20 |
+
|
| 21 |
+
To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:
|
| 22 |
+
|
| 23 |
+
```python
|
| 24 |
+
import argilla as rg
|
| 25 |
+
|
| 26 |
+
ds = rg.Dataset.from_hub("HafssaRabah/Audio-Validation-Test3", settings="auto")
|
| 27 |
+
```
|
| 28 |
+
|
| 29 |
+
This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
|
| 30 |
+
|
| 31 |
+
## Using this dataset with `datasets`
|
| 32 |
+
|
| 33 |
+
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:
|
| 34 |
+
|
| 35 |
+
```python
|
| 36 |
+
from datasets import load_dataset
|
| 37 |
+
|
| 38 |
+
ds = load_dataset("HafssaRabah/Audio-Validation-Test3")
|
| 39 |
+
```
|
| 40 |
+
|
| 41 |
+
This will only load the records of the dataset, but not the Argilla settings.
|
| 42 |
+
|
| 43 |
+
## Dataset Structure
|
| 44 |
+
|
| 45 |
+
This dataset repo contains:
|
| 46 |
+
|
| 47 |
+
* 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`.
|
| 48 |
+
* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
|
| 49 |
+
* A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
|
| 50 |
+
|
| 51 |
+
The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
|
| 52 |
+
|
| 53 |
+
### Fields
|
| 54 |
+
|
| 55 |
+
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.
|
| 56 |
+
|
| 57 |
+
| Field Name | Title | Type | Required |
|
| 58 |
+
| ---------- | ----- | ---- | -------- |
|
| 59 |
+
| Audio | Audio | custom | True |
|
| 60 |
+
| Text | Transcription originale | text | True |
|
| 61 |
+
| transcription_corrigee | Transcription corrigée par l'annotateur | text | True |
|
| 62 |
+
| Orthography | Orthography | text | False |
|
| 63 |
+
| Source | Source | text | False |
|
| 64 |
+
| Duration | Duration | text | False |
|
| 65 |
+
| source_record_id | Source Record ID | text | False |
|
| 66 |
+
|
| 67 |
+
|
| 68 |
+
### Questions
|
| 69 |
+
|
| 70 |
+
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.
|
| 71 |
+
|
| 72 |
+
| Question Name | Title | Type | Required | Description | Values/Labels |
|
| 73 |
+
| ------------- | ----- | ---- | -------- | ----------- | ------------- |
|
| 74 |
+
| validation_decision | ✅ Décision de validation | label_selection | True | Approuvez-vous la transcription corrigée? | ['Accepté', 'À ajuster', 'Refusé'] |
|
| 75 |
+
| validation_comments | 💬 Commentaires de validation | text | False | Ajoutez vos remarques ou corrections supplémentaires | N/A |
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
<!-- check length of metadata properties -->
|
| 79 |
+
|
| 80 |
+
|
| 81 |
+
|
| 82 |
+
|
| 83 |
+
### Data Splits
|
| 84 |
+
|
| 85 |
+
The dataset contains a single split, which is `train`.
|
| 86 |
+
|
| 87 |
+
## Dataset Creation
|
| 88 |
+
|
| 89 |
+
### Curation Rationale
|
| 90 |
+
|
| 91 |
+
[More Information Needed]
|
| 92 |
+
|
| 93 |
+
### Source Data
|
| 94 |
+
|
| 95 |
+
#### Initial Data Collection and Normalization
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
#### Who are the source language producers?
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
### Annotations
|
| 104 |
+
|
| 105 |
+
#### Annotation guidelines
|
| 106 |
+
|
| 107 |
+
# 🎯 Instructions de validation
|
| 108 |
+
|
| 109 |
+
## Étapes à suivre :
|
| 110 |
+
|
| 111 |
+
1. **🎧 Écoutez l'audio** : Vérifiez la qualité audio
|
| 112 |
+
2. **📝 Comparez les transcriptions** : Lisez l'originale ET la corrigée
|
| 113 |
+
3. **✅ Donnez votre décision** : Accepté / À ajuster / Refusé
|
| 114 |
+
4. **💬 Commentez si nécessaire** : Ajoutez des remarques
|
| 115 |
+
|
| 116 |
+
## Critères de validation :
|
| 117 |
+
- ✅ **Accepté** : La transcription corrigée est exacte et validée
|
| 118 |
+
- ⚠️ **À ajuster** : Nécessite des modifications mineures
|
| 119 |
+
- ❌ **Refusé** : Doit être entièrement refait
|
| 120 |
+
|
| 121 |
+
**Merci pour votre travail de validation ! 🙏**
|
| 122 |
+
|
| 123 |
+
#### Annotation process
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
#### Who are the annotators?
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
### Personal and Sensitive Information
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
## Considerations for Using the Data
|
| 136 |
+
|
| 137 |
+
### Social Impact of Dataset
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
### Discussion of Biases
|
| 142 |
+
|
| 143 |
+
[More Information Needed]
|
| 144 |
+
|
| 145 |
+
### Other Known Limitations
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Additional Information
|
| 150 |
+
|
| 151 |
+
### Dataset Curators
|
| 152 |
+
|
| 153 |
+
[More Information Needed]
|
| 154 |
+
|
| 155 |
+
### Licensing Information
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Citation Information
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
### Contributions
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|