{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":50794,"offset":50784,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"```json\n{\n    \"data\": \"A beautifully layered Vanilla opera cake, showcasing rich croissant dough and creamy flan, elegantly presented with a glossy glaze and delicate vanilla bean specks. Each layer features a neat stack with a golden-brown crust and a smooth, luscious custard that glistens invitingly. Surround the cake with fresh vanilla pods and a sprinkle of fleur de sel for sophistication. The setting is a rustic wooden table, bathed in soft natural light that highlights the cake's textures. A charming pastry knife is placed beside the cake, adding a note of elegance. The ambiance reflects an inviting French patisserie, with warm tones and a cozy atmosphere. Capture the scene in a warm, shallow depth of field with a soft focus on the background, ensuring the cake stands out as the centerpiece.\"\n}\n```","behavior":"degenerate_repetition","conversation_hash":"0952c7e3478b67c8af5fce77ecb671ab","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"French","model":"gpt-4o-mini-2024-07-18","n_chars":2327,"n_turns_in_conversation":1,"n_words":356,"source_row_offset":50784,"source_shard":"turns-00067.parquet","timestamp":"Thu, 20 Mar 2025 16:15:28 GMT","turn_id":"0c2609a9ee5aff27674cbb9c","turn_index":0,"user_text":"\n    Goal\n    G\u00e9n\u00e9rer une image de suggestion de pr\u00e9sentation d\u2019un plat en fonction de sa description, en int\u00e9grant une ambiance inspir\u00e9e du pays d\u2019origine et un style photographique sp\u00e9cifique.\n\n    1. Utiliser la description fournie pour d\u00e9finir l'apparence du plat.\n    2. Ajouter une ambiance souhait\u00e9e.\n    3. Appliquer un style photographique pr\u00e9cis avec des param\u00e8tres sp\u00e9cifiques. \n    4. Optimiser le prompt pour le donner \u00e0 midjourney \n  \n    Return Format\n    Tu dois renvoyer un objet JSON strictement respect\u00e9 avec cette structure \n    {\n    \"data\": \"<prompt>\"\n    }\n    - Le prompt doit \u00eatre \u00e9crit en anglais et bien d\u00e9taill\u00e9.\n\n    Warnings\n    - Respecte le format JSON strict.\n    - N\u2019explique pas la d\u00e9marche, renvoie uniquement l\u2019objet JSON.\n    - Le prompt doit inclure tous les \u00e9l\u00e9ments demand\u00e9s.\n\n    Context Dump\n    Description fournie : A beautifully layered Vanilla opera cake, showcasing rich croissant dough and creamy flan. The cake is elegantly presented with a glossy glaze and delicate vanilla bean specks visible on the surface. Each layer is neatly stacked with a golden-brown crust, while the filling is a smooth and luscious custard that glistens invitingly. Surround the cake with fresh vanilla pods and a sprinkle of fleur de sel, adding a touch of sophistication. The setting features a rustic wooden table, soft natural light highlighting the cake's textures, and a charming pastry knife placed elegantly beside the cake for a touch of elegance.\n    Ambiance souhait\u00e9e : \n\n    "},{"assistant_initiates":false,"asst_text":"{\n    \"data\": \"A stunning presentation of a Vanilla Opera Cake, featuring delicately layered croissant dough and a rich, creamy vanilla flan. The cake is beautifully garnished with a light dusting of powdered sugar and adorned with fresh berries such as raspberries and blueberries, adding a pop of color. The cake is presented on an elegant white plate, showcasing the golden brown crust and the smooth creaminess of the flan. Soft, diffused lighting creates a warm ambiance, highlighting the textures of the flaky layers and the glossy finish of the flan. A few sprigs of mint are scattered around for a touch of freshness. The setting is inspired by a French patisserie, with rustic wooden accents and soft pastel colors in the background. The photographic style is reminiscent of fine art photography, utilizing a shallow depth of field to emphasize the dessert while blurring out the background, with a soft focus and gentle bokeh effects.\"\n}","behavior":"degenerate_repetition","conversation_hash":"d3fdbd63ececc65ddc2a092291974cea","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"French","model":"gpt-4o-mini-2024-07-18","n_chars":2527,"n_turns_in_conversation":1,"n_words":390,"source_row_offset":50785,"source_shard":"turns-00067.parquet","timestamp":"Thu, 20 Mar 2025 16:15:28 GMT","turn_id":"5015611fb680cdd6341f8cf6","turn_index":0,"user_text":"\n    Goal\n    G\u00e9n\u00e9rer une image de suggestion de pr\u00e9sentation d\u2019un plat en fonction de sa description, en int\u00e9grant une ambiance inspir\u00e9e du pays d\u2019origine et un style photographique sp\u00e9cifique.\n\n    1. Utiliser la description fournie pour d\u00e9finir l'apparence du plat.\n    2. Ajouter une ambiance souhait\u00e9e.\n    3. Appliquer un style photographique pr\u00e9cis avec des param\u00e8tres sp\u00e9cifiques. \n    4. Optimiser le prompt pour le donner \u00e0 midjourney \n  \n    Return Format\n    Tu dois renvoyer un objet JSON strictement respect\u00e9 avec cette structure \n    {\n    \"data\": \"<prompt>\"\n    }\n    - Le prompt doit \u00eatre \u00e9crit en anglais et bien d\u00e9taill\u00e9.\n\n    Warnings\n    - Respecte le format JSON strict.\n    - N\u2019explique pas la d\u00e9marche, renvoie uniquement l\u2019objet JSON.\n    - Le prompt doit inclure tous les \u00e9l\u00e9ments demand\u00e9s.\n\n    Context Dump\n    Description fournie : A stunning presentation of a Vanilla Opera Cake, featuring delicately layered croissant dough and a rich, creamy vanilla flan. The cake is beautifully garnished with a light dusting of powdered sugar and adorned with fresh berries such as raspberries and blueberries, adding a pop of color. The cake is presented on an elegant white plate, showcasing the golden brown crust and the smooth creaminess of the flan. Soft, diffused lighting creates a warm ambiance, highlighting the textures of the flaky layers and the glossy finish of the flan. A few sprigs of mint are scattered around for a touch of freshness, making this dessert a perfect centerpiece for a sophisticated dining experience.\n    Ambiance souhait\u00e9e : \n\n    "},{"assistant_initiates":false,"asst_text":"```json\n[\n    {\n        \"name\": \"superfine sugar\",\n        \"unit\": \"teaspoons\",\n        \"qty\": 4,\n        \"category\": \"Sweets\"\n    },\n    {\n        \"name\": \"fondant icing\",\n        \"unit\": \"pounds\",\n        \"qty\": 1,\n        \"category\": \"Sweets\"\n    },\n    {\n        \"name\": \"fondant icing\",\n        \"unit\": \"ounces\",\n        \"qty\": 2,\n        \"category\": \"Sweets\"\n    },\n    {\n        \"name\": \"unsweetened cocoa powder\",\n        \"unit\": \"tablespoons\",\n        \"qty\": 2,\n        \"category\": \"Chocolates\"\n    },\n    {\n        \"name\": \"coffee powder\",\n        \"unit\": \"tablespoons\",\n        \"qty\": 1,\n        \"category\": \"Unclassifiable\"\n    }\n]\n```","behavior":"degenerate_repetition","conversation_hash":"35a4b1eca110d2bfe5a18645a04b8417","conversation_redacted":false,"conversation_toxic":false,"country":"China","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"French","model":"gpt-4o-mini-2024-07-18","n_chars":2505,"n_turns_in_conversation":1,"n_words":323,"source_row_offset":50786,"source_shard":"turns-00067.parquet","timestamp":"Thu, 20 Mar 2025 16:15:30 GMT","turn_id":"a9305a86737d7ffb14f31ee3","turn_index":0,"user_text":"\n    Goal\n   Objectif est de transformer une liste brute d'ingr\u00e9dients en une liste d'objets JSON bien structur\u00e9s, en respectant les r\u00e8gles suivantes :\n\n    Extraction des informations : S\u00e9parer la quantit\u00e9, l\u2019unit\u00e9 et le d\u00e9tail de chaque ingr\u00e9dient.\n    Mapping des donn\u00e9es : Structurer les informations dans un format JSON pr\u00e9cis.\n    Conservation des d\u00e9tails : Pr\u00e9server les informations suppl\u00e9mentaires (ex. : ce qui est entre parenth\u00e8ses).\n    Cat\u00e9gorisation : Attribuer la bonne cat\u00e9gorie \u00e0 chaque ingr\u00e9dient parmi cette liste :\n    Dairy, Meats, Cereals, Seeds, Chocolates, Spices, Fishs, Pasta, Seafoods, Vegetables, Fruits, Legumes, Eggs, Condiments, Sweets, Unclassifiable.\n\n    Return Format\n    Renvoies une seule liste JSON contenant les objets format\u00e9s comme suit :\n    json\n    [\n    {\n        \"name\": <name>,\n        \"unit\": <unity>,\n        \"qty\": <qty>,\n        \"category\": <category>\n    }\n    ]\n    - name doit \u00eatre le nom de l'ingr\u00e9dient avec d\u00e9tails\n    - unity doit \u00eatre l'unit\u00e9 (g, ml, pinc\u00e9e, etc.)\n    - qty doit \u00eatre un nombre (valeur num\u00e9rique)\n    - category doit \u00eatre la cat\u00e9gorisation attribu\u00e9\n\n\n    Warnings\n    - Respecte strictement la structure de l\u2019objet JSON (pas d'ajout ou de suppression de cl\u00e9s).\n    - Conserve les d\u00e9tails suppl\u00e9mentaires des ingr\u00e9dients (ex. : texte entre parenth\u00e8ses).\n    - V\u00e9rifie que la cat\u00e9gorie attribu\u00e9e est correcte selon la liste fournie.\n    - Ne modifie pas les quantit\u00e9s ou unit\u00e9s, mais assure-toi qu\u2019elles sont bien s\u00e9par\u00e9es du nom de l\u2019ingr\u00e9dient.\n    - Ne fournis que le JSON format\u00e9, sans explication.\n    - Assure-toi que le JSON soit bien formatt\u00e9 et valide.    \n\n    Context Dump\n    Ingr\u00e9dients bruts :\n\n    json\n    \"4 teaspoons (15 g) superfine sugar; 1 pound 2 ounces (500 g) fondant icing; 2 tablespoons (10 g) unsweetened cocoa powder; 1 tablespoons (10 g) coffee powder\"\n\n\n    "},{"assistant_initiates":false,"asst_text":"```json\n[\n    {\n        \"name\": \"hazelnuts\",\n        \"unit\": \"g\",\n        \"qty\": 100,\n        \"category\": \"Nuts\"\n    },\n    {\n        \"name\": \"superfine sugar\",\n        \"unit\": \"g\",\n        \"qty\": 30,\n        \"category\": \"Sweets\"\n    },\n    {\n        \"name\": \"fleur de sel\",\n        \"unit\": \"g\",\n        \"qty\": 2,\n        \"category\": \"Condiments\"\n    },\n    {\n        \"name\": \"cocoa butter\",\n        \"unit\": \"g\",\n        \"qty\": 70,\n        \"category\": \"Chocolates\"\n    },\n    {\n        \"name\": \"feuilletine flakes\",\n        \"unit\": \"g\",\n        \"qty\": 70,\n        \"category\": \"Cereals\"\n    }\n]\n```","behavior":"degenerate_repetition","conversation_hash":"b0806932a4cf015d97605491a7e1f7f4","conversation_redacted":false,"conversation_toxic":false,"country":"South Korea","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"French","model":"gpt-4o-mini-2024-07-18","n_chars":2451,"n_turns_in_conversation":1,"n_words":324,"source_row_offset":50787,"source_shard":"turns-00067.parquet","timestamp":"Thu, 20 Mar 2025 16:15:30 GMT","turn_id":"70191fa62610c308a8262476","turn_index":0,"user_text":"\n    Goal\n   Objectif est de transformer une liste brute d'ingr\u00e9dients en une liste d'objets JSON bien structur\u00e9s, en respectant les r\u00e8gles suivantes :\n\n    Extraction des informations : S\u00e9parer la quantit\u00e9, l\u2019unit\u00e9 et le d\u00e9tail de chaque ingr\u00e9dient.\n    Mapping des donn\u00e9es : Structurer les informations dans un format JSON pr\u00e9cis.\n    Conservation des d\u00e9tails : Pr\u00e9server les informations suppl\u00e9mentaires (ex. : ce qui est entre parenth\u00e8ses).\n    Cat\u00e9gorisation : Attribuer la bonne cat\u00e9gorie \u00e0 chaque ingr\u00e9dient parmi cette liste :\n    Dairy, Meats, Cereals, Seeds, Chocolates, Spices, Fishs, Pasta, Seafoods, Vegetables, Fruits, Legumes, Eggs, Condiments, Sweets, Unclassifiable.\n\n    Return Format\n    Renvoies une seule liste JSON contenant les objets format\u00e9s comme suit :\n    json\n    [\n    {\n        \"name\": <name>,\n        \"unit\": <unity>,\n        \"qty\": <qty>,\n        \"category\": <category>\n    }\n    ]\n    - name doit \u00eatre le nom de l'ingr\u00e9dient avec d\u00e9tails\n    - unity doit \u00eatre l'unit\u00e9 (g, ml, pinc\u00e9e, etc.)\n    - qty doit \u00eatre un nombre (valeur num\u00e9rique)\n    - category doit \u00eatre la cat\u00e9gorisation attribu\u00e9\n\n\n    Warnings\n    - Respecte strictement la structure de l\u2019objet JSON (pas d'ajout ou de suppression de cl\u00e9s).\n    - Conserve les d\u00e9tails suppl\u00e9mentaires des ingr\u00e9dients (ex. : texte entre parenth\u00e8ses).\n    - V\u00e9rifie que la cat\u00e9gorie attribu\u00e9e est correcte selon la liste fournie.\n    - Ne modifie pas les quantit\u00e9s ou unit\u00e9s, mais assure-toi qu\u2019elles sont bien s\u00e9par\u00e9es du nom de l\u2019ingr\u00e9dient.\n    - Ne fournis que le JSON format\u00e9, sans explication.\n    - Assure-toi que le JSON soit bien formatt\u00e9 et valide.    \n\n    Context Dump\n    Ingr\u00e9dients bruts :\n\n    json\n    \"cup (100 g) hazelnuts; 2% tablespoons (30 g) superfine sugar; % teaspoon (2 g) fleur de sel; \u00bd cup (70 g) cocoa butter; 1\u00bd cups (70 g) feuilletine flakes\"\n\n\n    "},{"assistant_initiates":false,"asst_text":"```json\n[\n    {\n        \"name\": \"unstrained lemon juice\",\n        \"unit\": \"ml\",\n        \"qty\": 200,\n        \"category\": \"Condiments\"\n    },\n    {\n        \"name\": \"superfine sugar\",\n        \"unit\": \"g\",\n        \"qty\": 12,\n        \"category\": \"Sweets\"\n    },\n    {\n        \"name\": \"agar powder\",\n        \"unit\": \"g\",\n        \"qty\": 5,\n        \"category\": \"Unclassifiable\"\n    }\n]\n```","behavior":"degenerate_repetition","conversation_hash":"99256a3c3c9cc3e98ba7696595fc3f41","conversation_redacted":false,"conversation_toxic":false,"country":"Taiwan","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"French","model":"gpt-4o-mini-2024-07-18","n_chars":2204,"n_turns_in_conversation":1,"n_words":296,"source_row_offset":50788,"source_shard":"turns-00067.parquet","timestamp":"Thu, 20 Mar 2025 16:15:32 GMT","turn_id":"6997c7b8ff07e0d98e440715","turn_index":0,"user_text":"\n    Goal\n   Objectif est de transformer une liste brute d'ingr\u00e9dients en une liste d'objets JSON bien structur\u00e9s, en respectant les r\u00e8gles suivantes :\n\n    Extraction des informations : S\u00e9parer la quantit\u00e9, l\u2019unit\u00e9 et le d\u00e9tail de chaque ingr\u00e9dient.\n    Mapping des donn\u00e9es : Structurer les informations dans un format JSON pr\u00e9cis.\n    Conservation des d\u00e9tails : Pr\u00e9server les informations suppl\u00e9mentaires (ex. : ce qui est entre parenth\u00e8ses).\n    Cat\u00e9gorisation : Attribuer la bonne cat\u00e9gorie \u00e0 chaque ingr\u00e9dient parmi cette liste :\n    Dairy, Meats, Cereals, Seeds, Chocolates, Spices, Fishs, Pasta, Seafoods, Vegetables, Fruits, Legumes, Eggs, Condiments, Sweets, Unclassifiable.\n\n    Return Format\n    Renvoies une seule liste JSON contenant les objets format\u00e9s comme suit :\n    json\n    [\n    {\n        \"name\": <name>,\n        \"unit\": <unity>,\n        \"qty\": <qty>,\n        \"category\": <category>\n    }\n    ]\n    - name doit \u00eatre le nom de l'ingr\u00e9dient avec d\u00e9tails\n    - unity doit \u00eatre l'unit\u00e9 (g, ml, pinc\u00e9e, etc.)\n    - qty doit \u00eatre un nombre (valeur num\u00e9rique)\n    - category doit \u00eatre la cat\u00e9gorisation attribu\u00e9\n\n\n    Warnings\n    - Respecte strictement la structure de l\u2019objet JSON (pas d'ajout ou de suppression de cl\u00e9s).\n    - Conserve les d\u00e9tails suppl\u00e9mentaires des ingr\u00e9dients (ex. : texte entre parenth\u00e8ses).\n    - V\u00e9rifie que la cat\u00e9gorie attribu\u00e9e est correcte selon la liste fournie.\n    - Ne modifie pas les quantit\u00e9s ou unit\u00e9s, mais assure-toi qu\u2019elles sont bien s\u00e9par\u00e9es du nom de l\u2019ingr\u00e9dient.\n    - Ne fournis que le JSON format\u00e9, sans explication.\n    - Assure-toi que le JSON soit bien formatt\u00e9 et valide.    \n\n    Context Dump\n    Ingr\u00e9dients bruts :\n\n    json\n    \"\u00be cup plus 1 tablespoon (200 g) unstrained lemon juice; 1 tablespoon (12 g) superfine sugar; 2 teaspoons (5 g) agar powder\"\n\n\n    "},{"assistant_initiates":false,"asst_text":"```json\n[\n    {\n        \"name\": \"superfine sugar\",\n        \"unit\": \"teaspoons\",\n        \"qty\": 4,\n        \"category\": \"Sweets\"\n    },\n    {\n        \"name\": \"fondant icing\",\n        \"unit\": \"pounds\",\n        \"qty\": 1.125,\n        \"category\": \"Sweets\"\n    },\n    {\n        \"name\": \"unsweetened cocoa powder\",\n        \"unit\": \"tablespoons\",\n        \"qty\": 2,\n        \"category\": \"Chocolates\"\n    },\n    {\n        \"name\": \"coffee powder\",\n        \"unit\": \"tablespoons\",\n        \"qty\": 1,\n        \"category\": \"Unclassifiable\"\n    }\n]\n```","behavior":"degenerate_repetition","conversation_hash":"39e7bdf5258682dd5c49be739d879806","conversation_redacted":false,"conversation_toxic":false,"country":"India","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"French","model":"gpt-4o-mini-2024-07-18","n_chars":2390,"n_turns_in_conversation":1,"n_words":312,"source_row_offset":50789,"source_shard":"turns-00067.parquet","timestamp":"Thu, 20 Mar 2025 16:15:33 GMT","turn_id":"5655290de2f4e7841dc4e2ec","turn_index":0,"user_text":"\n    Goal\n   Objectif est de transformer une liste brute d'ingr\u00e9dients en une liste d'objets JSON bien structur\u00e9s, en respectant les r\u00e8gles suivantes :\n\n    Extraction des informations : S\u00e9parer la quantit\u00e9, l\u2019unit\u00e9 et le d\u00e9tail de chaque ingr\u00e9dient.\n    Mapping des donn\u00e9es : Structurer les informations dans un format JSON pr\u00e9cis.\n    Conservation des d\u00e9tails : Pr\u00e9server les informations suppl\u00e9mentaires (ex. : ce qui est entre parenth\u00e8ses).\n    Cat\u00e9gorisation : Attribuer la bonne cat\u00e9gorie \u00e0 chaque ingr\u00e9dient parmi cette liste :\n    Dairy, Meats, Cereals, Seeds, Chocolates, Spices, Fishs, Pasta, Seafoods, Vegetables, Fruits, Legumes, Eggs, Condiments, Sweets, Unclassifiable.\n\n    Return Format\n    Renvoies une seule liste JSON contenant les objets format\u00e9s comme suit :\n    json\n    [\n    {\n        \"name\": <name>,\n        \"unit\": <unity>,\n        \"qty\": <qty>,\n        \"category\": <category>\n    }\n    ]\n    - name doit \u00eatre le nom de l'ingr\u00e9dient avec d\u00e9tails\n    - unity doit \u00eatre l'unit\u00e9 (g, ml, pinc\u00e9e, etc.)\n    - qty doit \u00eatre un nombre (valeur num\u00e9rique)\n    - category doit \u00eatre la cat\u00e9gorisation attribu\u00e9\n\n\n    Warnings\n    - Respecte strictement la structure de l\u2019objet JSON (pas d'ajout ou de suppression de cl\u00e9s).\n    - Conserve les d\u00e9tails suppl\u00e9mentaires des ingr\u00e9dients (ex. : texte entre parenth\u00e8ses).\n    - V\u00e9rifie que la cat\u00e9gorie attribu\u00e9e est correcte selon la liste fournie.\n    - Ne modifie pas les quantit\u00e9s ou unit\u00e9s, mais assure-toi qu\u2019elles sont bien s\u00e9par\u00e9es du nom de l\u2019ingr\u00e9dient.\n    - Ne fournis que le JSON format\u00e9, sans explication.\n    - Assure-toi que le JSON soit bien formatt\u00e9 et valide.    \n\n    Context Dump\n    Ingr\u00e9dients bruts :\n\n    json\n    \"4 teaspoons (15 g) superfine sugar; 1 pound 2 ounces (500 g) fondant icing; 2 tablespoons (10 g) unsweetened cocoa powder; 1 tablespoons (10 g) coffee powder\"\n\n\n    "},{"assistant_initiates":false,"asst_text":"```json\n[\n    {\n        \"name\": \"high-gluten flour\",\n        \"unit\": \"g\",\n        \"qty\": 200,\n        \"category\": \"Cereals\"\n    },\n    {\n        \"name\": \"pastry flour\",\n        \"unit\": \"g\",\n        \"qty\": 200,\n        \"category\": \"Cereals\"\n    },\n    {\n        \"name\": \"salt\",\n        \"unit\": \"g\",\n        \"qty\": 8,\n        \"category\": \"Condiments\"\n    },\n    {\n        \"name\": \"superfine sugar\",\n        \"unit\": \"g\",\n        \"qty\": 32,\n        \"category\": \"Sweets\"\n    },\n    {\n        \"name\": \"cake yeast, or active dry yeast (dissolved in milk or water)\",\n        \"unit\": \"g\",\n        \"qty\": 20,\n        \"category\": \"Unclassifiable\"\n    },\n    {\n        \"name\": \"honey\",\n        \"unit\": \"g\",\n        \"qty\": 16,\n        \"category\": \"Condiments\"\n    },\n    {\n        \"name\": \"unsalted butter\",\n        \"unit\": \"g\",\n        \"qty\": 28,\n        \"category\": \"Dairy\"\n    },\n    {\n        \"name\": \"egg\",\n        \"unit\": \"g\",\n        \"qty\": 20,\n        \"category\": \"Eggs\"\n    },\n    {\n        \"name\": \"milk\",\n        \"unit\": \"g\",\n        \"qty\": 81,\n        \"category\": \"Dairy\"\n    },\n    {\n        \"name\": \"water\",\n        \"unit\": \"g\",\n        \"qty\": 81,\n        \"category\": \"Unclassifiable\"\n    },\n    {\n        \"name\": \"unsalted butter (84% fat content)\",\n        \"unit\": \"g\",\n        \"qty\": 250,\n        \"category\": \"Dairy\"\n    }\n]\n```","behavior":"degenerate_repetition","conversation_hash":"0c3e3eee18e88885adc998ec40eaa6af","conversation_redacted":false,"conversation_toxic":false,"country":"China","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"French","model":"gpt-4o-mini-2024-07-18","n_chars":3443,"n_turns_in_conversation":1,"n_words":446,"source_row_offset":50790,"source_shard":"turns-00067.parquet","timestamp":"Thu, 20 Mar 2025 16:15:34 GMT","turn_id":"62c61ab85a86008e929cef94","turn_index":0,"user_text":"\n    Goal\n   Objectif est de transformer une liste brute d'ingr\u00e9dients en une liste d'objets JSON bien structur\u00e9s, en respectant les r\u00e8gles suivantes :\n\n    Extraction des informations : S\u00e9parer la quantit\u00e9, l\u2019unit\u00e9 et le d\u00e9tail de chaque ingr\u00e9dient.\n    Mapping des donn\u00e9es : Structurer les informations dans un format JSON pr\u00e9cis.\n    Conservation des d\u00e9tails : Pr\u00e9server les informations suppl\u00e9mentaires (ex. : ce qui est entre parenth\u00e8ses).\n    Cat\u00e9gorisation : Attribuer la bonne cat\u00e9gorie \u00e0 chaque ingr\u00e9dient parmi cette liste :\n    Dairy, Meats, Cereals, Seeds, Chocolates, Spices, Fishs, Pasta, Seafoods, Vegetables, Fruits, Legumes, Eggs, Condiments, Sweets, Unclassifiable.\n\n    Return Format\n    Renvoies une seule liste JSON contenant les objets format\u00e9s comme suit :\n    json\n    [\n    {\n        \"name\": <name>,\n        \"unit\": <unity>,\n        \"qty\": <qty>,\n        \"category\": <category>\n    }\n    ]\n    - name doit \u00eatre le nom de l'ingr\u00e9dient avec d\u00e9tails\n    - unity doit \u00eatre l'unit\u00e9 (g, ml, pinc\u00e9e, etc.)\n    - qty doit \u00eatre un nombre (valeur num\u00e9rique)\n    - category doit \u00eatre la cat\u00e9gorisation attribu\u00e9\n\n\n    Warnings\n    - Respecte strictement la structure de l\u2019objet JSON (pas d'ajout ou de suppression de cl\u00e9s).\n    - Conserve les d\u00e9tails suppl\u00e9mentaires des ingr\u00e9dients (ex. : texte entre parenth\u00e8ses).\n    - V\u00e9rifie que la cat\u00e9gorie attribu\u00e9e est correcte selon la liste fournie.\n    - Ne modifie pas les quantit\u00e9s ou unit\u00e9s, mais assure-toi qu\u2019elles sont bien s\u00e9par\u00e9es du nom de l\u2019ingr\u00e9dient.\n    - Ne fournis que le JSON format\u00e9, sans explication.\n    - Assure-toi que le JSON soit bien formatt\u00e9 et valide.    \n\n    Context Dump\n    Ingr\u00e9dients bruts :\n\n    json\n    \"1\u00bd cups (200 g) high-gluten flour; 1\u00bd cups (200 g) pastry flour; 1\u00bd teaspoons (8 g) salt; 2 tablespoons (32 g) superfine sugar; 20 g cake yeast, or 3 teaspoons active dry yeast (dissolved in milk or water); 2 teaspoons (16 g) honey; 2 tablespoons (28 g) unsalted butter; 1 medium (20 g) egg; 1 tablespoon; \u00bd cup (81 g) milk; \u00bd cup (81 g) water; 1 cup plus 1 tablespoon (250 g) unsalted butter (84% fat content)\"\n\n\n    "},{"assistant_initiates":false,"asst_text":"```json\n[\n    {\n        \"name\": \"Confectioners' sugar\",\n        \"unit\": null,\n        \"qty\": 1,\n        \"category\": \"Sweets\"\n    },\n    {\n        \"name\": \"Orange zest\",\n        \"unit\": null,\n        \"qty\": 1,\n        \"category\": \"Unclassifiable\"\n    }\n]\n```","behavior":"degenerate_repetition","conversation_hash":"575d41610a394208faec4c74d2b631d5","conversation_redacted":false,"conversation_toxic":false,"country":"United States","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"French","model":"gpt-4o-mini-2024-07-18","n_chars":1991,"n_turns_in_conversation":1,"n_words":266,"source_row_offset":50791,"source_shard":"turns-00067.parquet","timestamp":"Thu, 20 Mar 2025 16:15:34 GMT","turn_id":"979b813da6de13ded1eca01f","turn_index":0,"user_text":"\n    Goal\n   Objectif est de transformer une liste brute d'ingr\u00e9dients en une liste d'objets JSON bien structur\u00e9s, en respectant les r\u00e8gles suivantes :\n\n    Extraction des informations : S\u00e9parer la quantit\u00e9, l\u2019unit\u00e9 et le d\u00e9tail de chaque ingr\u00e9dient.\n    Mapping des donn\u00e9es : Structurer les informations dans un format JSON pr\u00e9cis.\n    Conservation des d\u00e9tails : Pr\u00e9server les informations suppl\u00e9mentaires (ex. : ce qui est entre parenth\u00e8ses).\n    Cat\u00e9gorisation : Attribuer la bonne cat\u00e9gorie \u00e0 chaque ingr\u00e9dient parmi cette liste :\n    Dairy, Meats, Cereals, Seeds, Chocolates, Spices, Fishs, Pasta, Seafoods, Vegetables, Fruits, Legumes, Eggs, Condiments, Sweets, Unclassifiable.\n\n    Return Format\n    Renvoies une seule liste JSON contenant les objets format\u00e9s comme suit :\n    json\n    [\n    {\n        \"name\": <name>,\n        \"unit\": <unity>,\n        \"qty\": <qty>,\n        \"category\": <category>\n    }\n    ]\n    - name doit \u00eatre le nom de l'ingr\u00e9dient avec d\u00e9tails\n    - unity doit \u00eatre l'unit\u00e9 (g, ml, pinc\u00e9e, etc.)\n    - qty doit \u00eatre un nombre (valeur num\u00e9rique)\n    - category doit \u00eatre la cat\u00e9gorisation attribu\u00e9\n\n\n    Warnings\n    - Respecte strictement la structure de l\u2019objet JSON (pas d'ajout ou de suppression de cl\u00e9s).\n    - Conserve les d\u00e9tails suppl\u00e9mentaires des ingr\u00e9dients (ex. : texte entre parenth\u00e8ses).\n    - V\u00e9rifie que la cat\u00e9gorie attribu\u00e9e est correcte selon la liste fournie.\n    - Ne modifie pas les quantit\u00e9s ou unit\u00e9s, mais assure-toi qu\u2019elles sont bien s\u00e9par\u00e9es du nom de l\u2019ingr\u00e9dient.\n    - Ne fournis que le JSON format\u00e9, sans explication.\n    - Assure-toi que le JSON soit bien formatt\u00e9 et valide.    \n\n    Context Dump\n    Ingr\u00e9dients bruts :\n\n    json\n    \"Confectioners' sugar; Orange zest\"\n\n\n    "},{"assistant_initiates":false,"asst_text":"```json\n{\n    \"data\": \"A beautifully arranged plate of golden-brown French toast, made from dried traditional baguettes, soaked in a luscious mixture of whole milk, split vanilla bean, and rich cream. The toast is crispy on the outside, with a soft, fluffy interior, elegantly dusted with superfine sugar. A drizzle of shimmering vanilla-infused cream sauce cascades over the French toast, enhancing its appeal. Garnish the dish with delicate sprigs of mint and a few fresh berries on the side for a vibrant touch. The background features a rustic wooden table with a light linen napkin, enhancing the homemade charm of this classic French dish.\"\n}\n```","behavior":"degenerate_repetition","conversation_hash":"4c31fc1896e1c25a132f53ed0cc1c8fd","conversation_redacted":false,"conversation_toxic":false,"country":"Thailand","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-mini-2024-07-18","n_chars":2191,"n_turns_in_conversation":1,"n_words":318,"source_row_offset":50792,"source_shard":"turns-00067.parquet","timestamp":"Thu, 20 Mar 2025 16:15:35 GMT","turn_id":"569a8da4a58d22ddedcc5911","turn_index":0,"user_text":"\n\n    Goal :\n    G\u00e9n\u00e9rer une suggestion d\u00e9taill\u00e9e et visuellement attrayante pour la pr\u00e9sentation finale d'un plat, bas\u00e9e sur le titre, les ingr\u00e9dients et les instructions de cuisine. Cette description servira \u00e0 cr\u00e9er une image du plat.\n\n\n    Return Format :\n    Renvoies un objet JSON respectant strictement cette structure :\n    json\n    {\n        \"data\": <description>\n    },\n    - description doit \u00eatre un prompt dans le but de g\u00e9n\u00e9rer une image et \u00e9crit en anglais.\n\n\n    Warning\n    - Le format JSON doit \u00eatre strictement respect\u00e9 et bien formatt\u00e9.\n    - Ne renvoie que le JSON, sans explication.\n\n\n     Context Dump\n    Donn\u00e9es de la recette fournies :\n\n    json\n    {\"title\":\"French toast \",\"ingredients\":\"For the recipe : dried traditional baguettes,whole milk,vanilla bean, split and scraped,whipping cream,large eggs,superfine sugar,whipping cream,vanilla beans,superfine sugar,superfine sugar\",\"instructions\":\"In a large container, combine the milk, vanilla, cream, eggs, and superfine sugar, then blend using an immersion blender.\\nIn a saucepan, heat the cream and infuse it with the vanilla.\\nUsing the superfine sugar, prepare a dry caramel, then pour it over the infused cream.\\nBring to a boil for 2 minutes, then strain through a conical sieve.\\nSlice the baguettes lengthwise from just before the tip.\\nCompletely immerse them in the French toast mixture and allow them to soak for 30 minutes.\\nGently drain.\\nCoat with superfine sugar.\\nCook in a skillet with foamy butter for 3 minutes on each side.\",\"region\":\"FR\"}\n\n\n    "},{"assistant_initiates":false,"asst_text":"```json\n{\n    \"data\": \"Create an image of a beautifully baked cream tart, featuring an oval-shaped brioche base with a lightly golden crust. The surface is generously spread with creamy Borniambuc cream, glistening under a sprinkle of superfine sugar that adds a subtle sparkle. Soft cubes of salted butter nestle on top, melting slightly into the cream. The background is adorned with a dusting of wheat semolina to give a rustic feel, and the tart is presented on a delicate, ornate plate. Subtle hues of golden and creamy white dominate the image, evoking a sense of warmth and indulgence.\"\n}\n```","behavior":"degenerate_repetition","conversation_hash":"073ad546134975b87e25e4c90a7fc573","conversation_redacted":false,"conversation_toxic":false,"country":"","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-4o-mini-2024-07-18","n_chars":2023,"n_turns_in_conversation":1,"n_words":297,"source_row_offset":50793,"source_shard":"turns-00067.parquet","timestamp":"Thu, 20 Mar 2025 16:15:36 GMT","turn_id":"e3926ff2bc734e9db9efda9c","turn_index":0,"user_text":"\n\n    Goal :\n    G\u00e9n\u00e9rer une suggestion d\u00e9taill\u00e9e et visuellement attrayante pour la pr\u00e9sentation finale d'un plat, bas\u00e9e sur le titre, les ingr\u00e9dients et les instructions de cuisine. Cette description servira \u00e0 cr\u00e9er une image du plat.\n\n\n    Return Format :\n    Renvoies un objet JSON respectant strictement cette structure :\n    json\n    {\n        \"data\": <description>\n    },\n    - description doit \u00eatre un prompt dans le but de g\u00e9n\u00e9rer une image et \u00e9crit en anglais.\n\n\n    Warning\n    - Le format JSON doit \u00eatre strictement respect\u00e9 et bien formatt\u00e9.\n    - Ne renvoie que le JSON, sans explication.\n\n\n     Context Dump\n    Donn\u00e9es de la recette fournies :\n\n    json\n    {\"title\":\"Cream tart \",\"ingredients\":\"For the recipe : cake flour (500 g),salt (12 g),superfine sugar (60 g),organic cake yeast,active dry yeast (dissolved in water or milk),large eggs (225 g),whole milk (75 g),unsalted butter (250 g),whipping cream (50 g),wheat semolina,borniambuc\u24e1 cream,salted butter,superfine sugar\",\"instructions\":\"Prepare a brioche dough using the specified method. Incorporate the whipping cream after kneading.\\nPreheat the oven to 360\u00b0F (180\u00b0C).\\nDivide the dough into pieces weighing 1 pound (450 g).\\nOn a surface dusted with semolina, roll the dough into oval shapes.\\nSpread Borniambuc cream and add cubes of salted butter on top.\\nSprinkle with superfine sugar.\\nBake in the oven for 10 to 12 minutes.\",\"region\":\"FR\"}\n\n\n    "}],"shard":{"index":67,"name":"turns-00067.parquet","rows":74785}}