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| 1 |
+
---
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| 2 |
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license: mit
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| 3 |
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task_categories:
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| 4 |
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- text-generation
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| 5 |
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- question-answering
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| 6 |
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language:
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| 7 |
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- fr
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| 8 |
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- en
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| 9 |
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tags:
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| 10 |
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- marketplace
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| 11 |
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- ecommerce
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| 12 |
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- products
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| 13 |
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- digital-marketplace
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| 14 |
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- french
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| 15 |
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- jsonl
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pretty_name: "MarketplaceAI JSONL Dataset"
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| 17 |
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size_categories:
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| 18 |
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- 10K<n<100K
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| 19 |
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---
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| 20 |
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| 21 |
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# MarketplaceJSONLDataset - Dataset JSONL
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| 22 |
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| 23 |
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Dataset au format JSON Lines contenant des données de produits pour l'entraînement de modèles d'IA spécialisés dans les marketplaces.
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| 24 |
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| 25 |
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## 📊 Statistiques du Dataset
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| 26 |
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- **Format** : JSON Lines (.jsonl)
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| 28 |
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- **Nombre total d'exemples** : 9,599,999
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| 29 |
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- **Taille totale** : 10912.11 MB
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| 30 |
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- **Nombre de fichiers** : 1
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| 31 |
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| 32 |
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## 📁 Structure des Fichiers
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| 33 |
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| 34 |
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### test.jsonl
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- **Lignes** : 9,599,999
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| 36 |
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- **Taille** : 10912.11 MB
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| 37 |
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- **Champs** : product_id, category_id, seo_title_fr, name_fr, created_at, product_type, description_fr, tags_en, comments_en, tags_fr, description_en, seo_description_fr, variants, seo_description_en, regular_price, comments_fr, seo_title_en, updated_at, extend_price, discount_offer, name_en
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| 38 |
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| 39 |
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**Exemple :**
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| 40 |
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```json
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| 41 |
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{
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| 42 |
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"product_id": "59ddbb01-64d7-487d-bf9c-d2359572c8b7",
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| 43 |
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"name_en": "Le plaisir de concrétiser vos projets plus rapidement",
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| 44 |
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"name_fr": "Le confort d'avancer à sa source",
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| 45 |
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"description_en": "<p>Parvenir poitrine empêcher voir seulement pas je. High-quality digital solution.</p>",
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| 46 |
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"description_fr": "<p>Seulement vaincre chanter aussi servir lors rose. Solution numérique de haute qualité.</p>",
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| 47 |
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"tags_en": "digital, api, learning",
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| 48 |
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"tags_fr": "apprentissage, tutoriel, automatisation",
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| 49 |
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"seo_title_en": "Le plaisir de concrétiser vos projets plus rapidement - Best modèle de simulation 3D Resource",
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| 50 |
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"seo_title_fr": "Le confort d'avancer à sa source - Meilleure ressource template",
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| 51 |
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"seo_description_en": "Discover Le plaisir de concrétiser vos projets plus rapidement, the ultimate visualisation de données interactive solution.",
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| 52 |
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"seo_description_fr": "Découvrez Le confort d'avancer à sa source, la solution ultime educational_content.",
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| 53 |
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"regular_price": 140.67,
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| 54 |
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"extend_price": 184.06,
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| 55 |
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"category_id": 11,
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| 56 |
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"product_type": "module d'intégration API",
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| 57 |
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"comments_en": "Social nul. | Chiffre intéresser professeur.",
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| 58 |
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"comments_fr": "Port.",
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| 59 |
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"discount_offer": "10% OFF",
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| 60 |
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"variants": "Standard ($140.67) | Extended ($184.06)",
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| 61 |
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"created_at": "2025-04-03 20:35:27",
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| 62 |
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"updated_at": "2025-05-22 08:53:09"
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| 63 |
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}
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```
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| 65 |
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| 66 |
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| 67 |
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## 🔧 Format des Données
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| 68 |
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| 69 |
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Chaque ligne du fichier JSONL contient un objet JSON valide :
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| 70 |
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```jsonl
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| 72 |
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{"id": 1, "name": "Produit A", "description": "Description du produit...", "price": 99.99}
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| 73 |
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{"id": 2, "name": "Produit B", "description": "Autre description...", "price": 149.99}
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| 74 |
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```
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| 76 |
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## 💻 Utilisation
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| 77 |
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| 78 |
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### Avec Python
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| 79 |
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```python
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| 80 |
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import json
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| 81 |
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| 82 |
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# Lire un fichier JSONL
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| 83 |
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def read_jsonl(file_path):
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| 84 |
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with open(file_path, 'r', encoding='utf-8') as f:
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for line in f:
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yield json.loads(line.strip())
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# Utilisation
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| 89 |
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for item in read_jsonl('produits_numeriquesv2.jsonl'):
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print(item)
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```
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### Avec Pandas
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```python
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| 95 |
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import pandas as pd
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| 96 |
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import json
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| 97 |
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| 98 |
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# Charger un JSONL en DataFrame
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def jsonl_to_dataframe(file_path):
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data = []
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with open(file_path, 'r', encoding='utf-8') as f:
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| 102 |
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for line in f:
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data.append(json.loads(line.strip()))
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return pd.DataFrame(data)
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| 105 |
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df = jsonl_to_dataframe('produits_numeriquesv2.jsonl')
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print(df.head())
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| 108 |
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```
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| 109 |
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| 110 |
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### Avec MarketplaceAI
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| 111 |
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```python
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| 112 |
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from marketplace_ai_server import MultilingualMarketplaceBot
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| 113 |
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| 114 |
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# Convertir JSONL en JSON pour l'entraînement
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| 115 |
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def convert_jsonl_to_json(jsonl_path, json_path):
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| 116 |
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products = []
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| 117 |
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with open(jsonl_path, 'r', encoding='utf-8') as f:
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| 118 |
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for line in f:
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| 119 |
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products.append(json.loads(line.strip()))
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| 120 |
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| 121 |
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with open(json_path, 'w', encoding='utf-8') as f:
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| 122 |
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json.dump({"products": products}, f, indent=2, ensure_ascii=False)
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| 123 |
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| 124 |
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# Convertir et entraîner
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| 125 |
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convert_jsonl_to_json('produits_numeriquesv2.jsonl', 'products.json')
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| 126 |
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bot = MultilingualMarketplaceBot()
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| 128 |
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bot.train_on_json_file('products.json')
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| 129 |
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```
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| 130 |
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| 131 |
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## 🚀 Intégration avec Hugging Face Datasets
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| 132 |
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| 133 |
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```python
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| 134 |
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from datasets import load_dataset
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| 135 |
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| 136 |
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# Charger le dataset
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| 137 |
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dataset = load_dataset('Medyassino/MarketplaceJSONLDataset')
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| 138 |
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| 139 |
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# Accéder aux données
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| 140 |
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for example in dataset['train']:
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| 141 |
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print(example)
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| 142 |
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```
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| 143 |
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| 144 |
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## 📚 Citation
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| 145 |
+
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| 146 |
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Si vous utilisez ce dataset, veuillez citer :
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| 147 |
+
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| 148 |
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```bibtex
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| 149 |
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@dataset{marketplace_jsonl_dataset,
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| 150 |
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title={MarketplaceAI JSONL Dataset},
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| 151 |
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author={Medyassino},
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| 152 |
+
year={2025},
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| 153 |
+
format={JSONL},
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| 154 |
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url={https://huggingface.co/datasets/Medyassino/MarketplaceJSONLDataset}
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| 155 |
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}
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| 156 |
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```
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| 157 |
+
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| 158 |
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## 🔗 Ressources Connexes
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| 159 |
+
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| 160 |
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- [Modèle MarketplaceAI](https://huggingface.co/Medyassino/YassinoQuantum)
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| 161 |
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- [Dataset JSON](https://huggingface.co/datasets/Medyassino/MarketplaceDataset)
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| 162 |
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- [Documentation du format JSONL](http://jsonlines.org/)
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