{"_id": {"$oid": "6a671d25338dadb0be4e844d"}, "test_id": "T1264", "benchmark": "general_meeting_minutes", "date": "2026-07-03", "tags": {"document-type": ["minutes"], "writing": ["typed", "handwritten"], "century": [20], "language": ["it", "fr", "de"], "layout": ["table"], "entry-type": ["person", "location"], "task": ["information-extraction"]}, "contributors": ["alexandra_binnenkade", "sven_lienhard", "sorin_marti"], "hidden": false, "config": {"provider": "openrouter", "model": "qwen/qwen3.5-35b-a3b", "dataclass": "MinutesPage", "temperature": 0.0, "role_description": "You are a historian with expertise in analyzing and summarizing historical meeting minutes", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Please extract the metadata according to the given output format.\nName and Address are in the same table field. Your task is to extract them into separate fields.\nLose any dashes between name and address but preserve linebreaks.\nBe aware: Addresses may contain multiple dashes; preserve them, only remove \"visual splitting characters\" between name and address.\nFilename: {filename}\nPage: {page_number}", "results": {"text": "{\"document\":\"Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\",\"page_number\":4,\"entries\":[{\"number\":\"1\",\"name\":\"M. BREHAM Alain\",\"address\":\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\",\"actions_o\":\"520\",\"actions_p\":\"179\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"2\",\"name\":\"M. BREHAM Marc\",\"address\":\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\",\"actions_o\":\"520\",\"actions_p\":\"179\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"3\",\"name\":\"M. STRAP Pierre\",\"address\":\"73 rue des Vignes - Paris (16e)\",\"actions_o\":\"80\",\"actions_p\":\"68\",\"no_de_voix\":\"148\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"4\",\"name\":\"M. MASSON Daniel\",\"address\":\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\",\"actions_o\":\"-\",\"actions_p\":\"10\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"5\",\"name\":\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\",\"address\":\"Mme Rue Balzac - Paris (8e)\",\"actions_o\":\"822\",\"actions_p\":\"168\",\"no_de_voix\":\"990\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"6\",\"name\":\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\",\"address\":\"Mme Rue Balzac - Paris (8e)\",\"actions_o\":\"355\",\"actions_p\":\"45\",\"no_de_voix\":\"400\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"7\",\"name\":\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\",\"address\":\"Mme Rue Balzac - Paris (8e)\",\"actions_o\":\"10\",\"actions_p\":\"-\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"8\",\"name\":\"M. PAMI Antonio\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"10\",\"no_de_voix\":\"11\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"9\",\"name\":\"M. PAMI Tarcisio\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"1\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"10\",\"name\":\"M. SPIESS Giangiorgio\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"1\",\"signature_present\":true,\"signature\":\"Pa\"}],\"total_actions\":{\"total_o\":\"2310\",\"total_p\":\"659\",\"total_voix\":\"2969\"}}", "model": "qwen/qwen3.5-35b-a3b-20260224", "provider": "openrouter", "finish_reason": "stop", "usage": {"input_tokens": 1083, "output_tokens": 9193, "total_tokens": 10276, "input_cost_usd": 0.00017598750000000002, "output_cost_usd": 0.0119509, "estimated_cost_usd": 0.0121268875}, "duration": 391.35350728034973, "timestamp": "2026-07-03T10:04:58.986474", "parsed": {"document": "Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4", "page_number": 4, "entries": [{"number": "1", "name": "M. BREHAM Alain", "address": "45 Boulevard Charcot - Neuilly s/ Seine (Seine)", "actions_o": "520", "actions_p": "179", "no_de_voix": "699", "signature_present": true, "signature": "Pa"}, {"number": "2", "name": "M. BREHAM Marc", "address": "16, rue Saint Pierre - Neuilly s/ Seine (Seine)", "actions_o": "520", "actions_p": "179", "no_de_voix": "699", "signature_present": true, "signature": "Pa"}, {"number": "3", "name": "M. STRAP Pierre", "address": "73 rue des Vignes - Paris (16e)", "actions_o": "80", "actions_p": "68", "no_de_voix": "148", "signature_present": true, "signature": "Pa"}, {"number": "4", "name": "M. MASSON Daniel", "address": "9 rue de l'Orangerie - Compi\u00e8gne (Oise)", "actions_o": "-", "actions_p": "10", "no_de_voix": "10", "signature_present": true, "signature": "Pa"}, {"number": "5", "name": "Cie Centrale de Mines & de M\u00e9tallurgie Sicili", "address": "Mme Rue Balzac - Paris (8e)", "actions_o": "822", "actions_p": "168", "no_de_voix": "990", "signature_present": true, "signature": "Pa"}, {"number": "6", "name": "Soci\u00e9t\u00e9 des Mines de l'Aunieras", "address": "Mme Rue Balzac - Paris (8e)", "actions_o": "355", "actions_p": "45", "no_de_voix": "400", "signature_present": true, "signature": "Pa"}, {"number": "7", "name": "Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises", "address": "Mme Rue Balzac - Paris (8e)", "actions_o": "10", "actions_p": "-", "no_de_voix": "10", "signature_present": true, "signature": "Pa"}, {"number": "8", "name": "M. PAMI Antonio", "address": "", "actions_o": "1", "actions_p": "10", "no_de_voix": "11", "signature_present": true, "signature": "Pa"}, {"number": "9", "name": "M. PAMI Tarcisio", "address": "", "actions_o": "1", "actions_p": "", "no_de_voix": "1", "signature_present": true, "signature": "Pa"}, {"number": "10", "name": "M. SPIESS Giangiorgio", "address": "", "actions_o": "1", "actions_p": "", "no_de_voix": "1", "signature_present": true, "signature": "Pa"}], "total_actions": {"total_o": "2310", "total_p": "659", "total_voix": "2969"}}, "conversation_id": "217455ae-b769-4e71-bb70-5d5247e1ada6", "score": {"fuzzy": 0.7540920981057434}, "raw_response": "{\"id\":\"gen-1783065508-MNH4XeeQuvdDq1g1BGDX\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n  \\\"document\\\": \\\"Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\\\",\\n  \\\"page_number\\\": 4,\\n  \\\"entries\\\": [\\n    {\\n      \\\"number\\\":  \\t\\\"1\\\",\\n      \\\"name\\\": \\\"M. BREHAM Alain\\\",\\n      \\\"address\\\": \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\",\\n      \\\"actions_o\\\": \\\"520\\\",\\n      \\\"actions_p\\\": \\\"179\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"2\\\",\\n      \\\"name\\\": \\\"M. BREHAM Marc\\\",\\n      \\\"address\\\": \\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\",\\n      \\\"actions_o\\\": \\\"520\\\",\\n      \\\"actions_p\\\": \\\"179\\\",\\n      \\\"no_de_voix\\\": \\\"699\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"3\\\",\\n      \\\"name\\\": \\\"M. STRAP Pierre\\\",\\n      \\\"address\\\": \\\"73 rue des Vignes - Paris (16e)\\\",\\n      \\\"actions_o\\\": \\\"80\\\",\\n      \\\"actions_p\\\": \\\"68\\\",\\n      \\\"no_de_voix\\\": \\\"148\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"4\\\",\\n      \\\"name\\\": \\\"M. MASSON Daniel\\\",\\n      \\\"address\\\": \\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\",\\n      \\\"actions_o\\\": \\\"-\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"5\\\",\\n      \\\"name\\\": \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\",\\n      \\\"address\\\": \\\"Mme Rue Balzac - Paris (8e)\\\",\\n      \\\"actions_o\\\": \\\"822\\\",\\n      \\\"actions_p\\\": \\\"168\\\",\\n      \\\"no_de_voix\\\": \\\"990\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"6\\\",\\n      \\\"name\\\": \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\",\\n      \\\"address\\\": \\\"Mme Rue Balzac - Paris (8e)\\\",\\n      \\\"actions_o\\\": \\\"355\\\",\\n      \\\"actions_p\\\": \\\"45\\\",\\n      \\\"no_de_voix\\\": \\\"400\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"7\\\",\\n      \\\"name\\\": \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\",\\n      \\\"address\\\": \\\"Mme Rue Balzac - Paris (8e)\\\",\\n      \\\"actions_o\\\": \\\"10\\\",\\n      \\\"actions_p\\\": \\\"-\\\",\\n      \\\"no_de_voix\\\": \\\"10\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"8\\\",\\n      \\\"name\\\": \\\"M. PAMI Antonio\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"10\\\",\\n      \\\"no_de_voix\\\": \\\"11\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"9\\\",\\n      \\\"name\\\": \\\"M. PAMI Tarcisio\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"1\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    },\\n    {\\n      \\\"number\\\": \\\"10\\\",\\n      \\\"name\\\": \\\"M. SPIESS Giangiorgio\\\",\\n      \\\"address\\\": \\\"\\\",\\n      \\\"actions_o\\\": \\\"1\\\",\\n      \\\"actions_p\\\": \\\"\\\",\\n      \\\"no_de_voix\\\": \\\"1\\\"\\n    \\t,\\n    \\t\\\"signature_present\\\": true\\n    \\t,\\n    \\t\\\"signature\\\": \\\"Pa\\\"\\n    }\\n  ],\\n  \\\"total_actions\\\": {\\n    \\\"total_o\\\": \\\"2310\\\",\\n    \\\"total_p\\\": \\\"659\\\",\\n    \\\"total_voix\\\": \\\"2969\\\"\\n  }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"document\":\"Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\",\"page_number\":4,\"entries\":[{\"number\":\"1\",\"name\":\"M. BREHAM Alain\",\"address\":\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\",\"actions_o\":\"520\",\"actions_p\":\"179\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"2\",\"name\":\"M. BREHAM Marc\",\"address\":\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\",\"actions_o\":\"520\",\"actions_p\":\"179\",\"no_de_voix\":\"699\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"3\",\"name\":\"M. STRAP Pierre\",\"address\":\"73 rue des Vignes - Paris (16e)\",\"actions_o\":\"80\",\"actions_p\":\"68\",\"no_de_voix\":\"148\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"4\",\"name\":\"M. MASSON Daniel\",\"address\":\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\",\"actions_o\":\"-\",\"actions_p\":\"10\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"5\",\"name\":\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\",\"address\":\"Mme Rue Balzac - Paris (8e)\",\"actions_o\":\"822\",\"actions_p\":\"168\",\"no_de_voix\":\"990\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"6\",\"name\":\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\",\"address\":\"Mme Rue Balzac - Paris (8e)\",\"actions_o\":\"355\",\"actions_p\":\"45\",\"no_de_voix\":\"400\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"7\",\"name\":\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\",\"address\":\"Mme Rue Balzac - Paris (8e)\",\"actions_o\":\"10\",\"actions_p\":\"-\",\"no_de_voix\":\"10\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"8\",\"name\":\"M. PAMI Antonio\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"10\",\"no_de_voix\":\"11\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"9\",\"name\":\"M. PAMI Tarcisio\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"1\",\"signature_present\":true,\"signature\":\"Pa\"},{\"number\":\"10\",\"name\":\"M. SPIESS Giangiorgio\",\"address\":\"\",\"actions_o\":\"1\",\"actions_p\":\"\",\"no_de_voix\":\"1\",\"signature_present\":true,\"signature\":\"Pa\"}],\"total_actions\":{\"total_o\":\"2310\",\"total_p\":\"659\",\"total_voix\":\"2969\"}},\"reasoning\":\"The user wants me to extract data from the provided image of a document.\\nThe document is a list of shareholders (actionnaires) with their names, addresses, and share counts.\\nI need to extract specific fields: Name, Address, and the share counts (Priorit\u00e9, Ordinaire, Total).\\nThe prompt asks for \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nIt also says \\\"Lose any dashes between name and address but preserve linebreaks.\\\" This is a bit ambiguous. Looking at the image, the name is on one line and the address is on the next line within the same cell.\\nWait, let's look at the columns.\\nColumn 1: N\u00b0 D'ORDRE (Number)\\nColumn 2: NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES (Name, First Names, and Domicile of Shareholders)\\nColumn 3: ACTIONS (Shares) - split into \\\"de Priorit\u00e9\\\" and \\\"Ordinaire\\\"\\nColumn 4: NOMBRE DE VOIX (Number of Votes)\\nColumn 5: SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES (Signature)\\n\\nThe prompt asks to extract metadata. It doesn't explicitly list *which* metadata fields, but usually, this implies the main data rows.\\nLet's look at the \\\"Output Format\\\" request. It's not explicitly provided in the prompt text, but the prompt says \\\"Please extract the metadata according to the given output format.\\\" and then \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nThis implies I should output a list of objects or a structured text.\\nLet's assume a JSON-like or structured list format is best, or just a clean text representation.\\nActually, looking at previous similar tasks, the output is usually a list of dictionaries or a structured text block.\\nLet's look at the specific instruction: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis suggests the input might have been \\\"Name - Address\\\" and I need to make it \\\"Name\\\\nAddress\\\".\\nIn the image, the name and address are on separate lines already.\\nRow 1: \\\"M. BREHAM Alain\\\" then \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nRow 2: \\\"M. BREHAM Marc\\\" then \\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\"\\nRow 3: \\\"M. STRAP Pierre\\\" then \\\"73 rue des Vignes - Paris (16e)\\\"\\nRow 4: \\\"M. MASSON Daniel\\\" then \\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\"\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\" then \\\"Mme Rue Balzac - Paris (8e)\\\" -> Wait, \\\"Mme\\\" is likely \\\"Mme\\\" or \\\"Mise\\\" or \\\"M...\\\". Let's look closer. It looks like \\\"Mise Rue Balzac\\\" or \\\"Mme Rue Balzac\\\". Actually, looking at row 6 and 7, it says \\\"Mme Rue Balzac\\\". Wait, \\\"Mme\\\" usually means Madame. Maybe it's a typo for \\\"Mise\\\" (placed) or just \\\"Mme\\\". Let's look at row 6: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\" then \\\"Mme Rue Balzac - Paris (8e)\\\". Row 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\" then \\\"Mme Rue Balzac - Paris (8e)\\\".\\nActually, looking really closely at row 5, 6, 7, the address line starts with \\\"Mme\\\". This is strange. Maybe it's \\\"Mme\\\" as in \\\"Mme\\\" (Madame) but that doesn't fit a company address.\\nLet's re-examine.\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\" (Sicilian Central Mining & Metallurgy Co). Address: \\\"Mme Rue Balzac - Paris (8e)\\\". Wait, is it \\\"Mise\\\"? No, looks like \\\"Mme\\\". Or maybe \\\"M.\\\"? No, looks like \\\"Mme\\\".\\nLet's look at the bottom totals. \\\"A REPORTER\\\".\\nLet's look at the names again.\\n1. M. BREHAM Alain\\n2. M. BREHAM Marc\\n3. M. STRAP Pierre\\n4. M. MASSON Daniel\\n5. Cie Centrale de Mines & de M\u00e9tallurgie Sicili (Sicilian)\\n6. Soci\u00e9t\u00e9 des Mines de l'Aunieras\\n7. Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\n8. M. PAMI Antonio\\n9. M. PAMI Tarcisio\\n10. M. SPIESS Giangiorgio\\n\\nThe prompt asks to extract metadata. I will extract the Name, Address, and the numbers.\\nThe prompt says \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nSo for each row, I need:\\n- Name\\n- Address\\n- Priorit\u00e9 Shares\\n- Ordinaire Shares\\n- Total Votes (or Total Shares? The column header is \\\"NOMBRE DE VOIX\\\" which means Number of Votes. The column \\\"ACTIONS\\\" has \\\"Priorit\u00e9\\\" and \\\"Ordinaire\\\". The sum of Priorit\u00e9 + Ordinaire usually equals Total Shares. The \\\"NOMBRE DE VOIX\\\" column seems to match the sum of the two action columns.\\nRow 1: 520 + 179 = 699. Correct.\\nRow 2: 520 + 179 = 699. Correct.\\nRow 3: 80 + 68 = 148. Correct.\\nRow 4: - + 10 = 10. Correct.\\nRow 5: 822 + 168 = 990. Correct.\\nRow 6: 355 + 45 = 400. Correct.\\nRow 7: 10 + - = 10. Correct.\\nRow 8: 1 + 10 = 11. Correct.\\nRow 9: 1 + - = 1. Correct.\\nRow 10: 1 + - = 1. Correct.\\nTotal at bottom: 2310 (Priorit\u00e9 sum), 659 (Ordinaire sum), 2969 (Total sum).\\nLet's check the sums.\\nPriorit\u00e9: 520+520+80+0+822+355+10+1+1+1 = 1910?\\nWait.\\n520+520 = 1040\\n1040+80 = 1120\\n1120+822 = 1942\\n1942+355 = 2297\\n2297+10 = 2307\\n2307+1+1+1 = 2310. Correct.\\nOrdinaire: 179+179+68+10+168+45+0+10+0+0 = 659?\\n179+179 = 358\\n358+68 = 426\\n426+10 = 436\\n436+168 = 604\\n604+45 = 649\\n649+10 = 659. Correct.\\nTotal: 699+699+148+10+990+400+10+11+1+1 = 2969?\\n699+699 = 1398\\n1398+148 = 1546\\n1546+10 = 1556\\n1556+990 = 2546\\n2546+400 = 2946\\n2946+10 = 2956\\n2956+11 = 2967\\n2967+1+1 = 2969. Correct.\\n\\nOkay, I have all the numbers.\\nNow for the text extraction.\\nThe prompt says \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis is a specific instruction.\\nIn the image, the name is on one line, address on the next.\\nExample Row 1:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\nThe dash in the address \\\"Boulevard Charcot - Neuilly\\\" should be preserved.\\nThe \\\"visual splitting character\\\" between name and address is likely the newline.\\nSo I should output:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\n\\nWait, looking at the instruction \\\"Lose any dashes between name and address\\\".\\nMaybe it means if the text was \\\"Name - Address\\\", I should remove the dash.\\nBut here they are on separate lines.\\nLet's assume the \\\"Name and Address\\\" field in the table contains both.\\nSo I need to split that field.\\nField content:\\n\\\"M. BREHAM Alain\\n45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nSplit into Name: \\\"M. BREHAM Alain\\\"\\nAddress: \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\n\\nLet's look at Row 5, 6, 7 address.\\n\\\"Mme Rue Balzac - Paris (8e)\\\"\\nThis looks like a typo in the original document for \\\"Mme\\\" (Madame) or maybe \\\"Mise\\\" (placed at). Or maybe \\\"M.\\\" (Monsieur). Given it's a company address, maybe it's just \\\"Mme\\\" as a placeholder or error. I will transcribe it as written: \\\"Mme Rue Balzac - Paris (8e)\\\". Wait, looking really closely at crop 5, it looks like \\\"Mme\\\". Or maybe \\\"Mise\\\". Let's assume \\\"Mme\\\" as it looks like M-m-e. Actually, looking at row 6 and 7, it's the same.\\nWait, let's look at the full image again.\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\"\\nAddress: \\\"Mme Rue Balzac - Paris (8e)\\\" -> This is very likely \\\"Mme\\\" but makes no sense. Could it be \\\"Mise\\\"? \\\"Mise Rue Balzac\\\". No, \\\"Mise\\\" is usually followed by \\\"\u00e0\\\".\\nCould it be \\\"M.\\\"? No, looks like \\\"Mme\\\".\\nCould it be \\\"Mme\\\" standing for \\\"Mme\\\" (Madame) but the shareholder is a company?\\nLet's look at the shareholder name: \\\"Cie Centrale...\\\".\\nMaybe the address is \\\"Mme Rue Balzac\\\".\\nActually, looking at the other rows, \\\"Rue Balzac\\\" is a street.\\nMaybe it's \\\"Mme\\\" as in \\\"Mme\\\" (Madame) and the shareholder is a person? No, \\\"Cie Centrale\\\" is a company.\\nMaybe it's \\\"Mise\\\" (placed).\\nLet's look at the handwriting. It looks like \\\"Mme\\\".\\nLet's look at row 6: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\". Address: \\\"Mme Rue Balzac\\\".\\nRow 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\". Address: \\\"Mme Rue Balzac\\\".\\nThis is strange. \\\"Mme\\\" usually means Madame.\\nMaybe it's \\\"M.\\\" (Monsieur) but written with a macron? No.\\nMaybe it's \\\"Mme\\\" as an abbreviation for \\\"Mme\\\" (Madame) and the shareholder is actually a person named \\\"Mme...\\\"? No, the name is clearly a company.\\nMaybe it's \\\"Mme\\\" meaning \\\"Mme\\\" (Madame) and the address is just \\\"Rue Balzac\\\".\\nLet's assume the text is \\\"Mme Rue Balzac - Paris (8e)\\\". I will transcribe it as is.\\nWait, could it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"? No, the name is \\\"Cie Centrale...\\\".\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\".\\nLet's look at the letters. M-m-e.\\nMaybe it's \\\"Mme\\\" (Madame) and the shareholder is a woman? But the name is \\\"Cie Centrale...\\\".\\nMaybe it's a typo for \\\"Mise\\\" (placed).\\nOr maybe \\\"Mme\\\" stands for \\\"Mme\\\" (Madame) and the shareholder is actually \\\"Mme [Name]\\\" and the \\\"Cie Centrale...\\\" is something else? No, the line is \\\"Cie Centrale...\\\".\\nLet's just transcribe what I see: \\\"Mme Rue Balzac - Paris (8e)\\\".\\nActually, looking really closely at crop 5, it looks like \\\"Mme\\\".\\nWait, could it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the text is \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\nMaybe the address is \\\"Mme Rue Balzac\\\".\\nLet's look at the bottom total.\\nThe prompt asks for \\\"Name and Address\\\".\\nI will extract the name and address for each row.\\n\\nRow 1:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\n\\nRow 2:\\nName: M. BREHAM Marc\\nAddress: 16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\n\\nRow 3:\\nName: M. STRAP Pierre\\nAddress: 73 rue des Vignes - Paris (16e)\\n\\nRow 4:\\nName: M. MASSON Daniel\\nAddress: 9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\n\\nRow 5:\\nName: Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\nAddress: Mme Rue Balzac - Paris (8e) -> I'll transcribe \\\"Mme\\\" as it looks like it. Or maybe \\\"Mise\\\". Let's look at the 'i'. It has a dot. So \\\"Mise\\\"? No, the dot is on the 'i' in \\\"Sicili\\\" above. The letter in address looks like 'm'. Then 'e'. So \\\"Mme\\\".\\nWait, could it be \\\"Mme\\\" as in \\\"Mme\\\" (Madame) and the shareholder is a person?\\nNo, the name is clearly a company.\\nMaybe it's \\\"Mme\\\" as an abbreviation for \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\".\\nLet's assume it's \\\"Mme\\\".\\nActually, looking at row 6 and 7, it's the same address.\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the name is \\\"Soci\u00e9t\u00e9 des Mines...\\\".\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\".\\nLet's just transcribe \\\"Mme Rue Balzac - Paris (8e)\\\".\\n\\nRow 6:\\nName: Soci\u00e9t\u00e9 des Mines de l'Aunieras\\nAddress: Mme Rue Balzac - Paris (8e)\\n\\nRow 7:\\nName: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\nAddress: Mme Rue Balzac - Paris (8e)\\n\\nRow 8:\\nName: M. PAMI Antonio\\nAddress: (Empty) -> Wait, looking at row 8, the address field is empty.\\nWait, let's look at the full image.\\nRow 8: \\\"M. PAMI Antonio\\\". The address line is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". The address line is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". The address line is empty.\\nWait, let's look closer.\\nRow 8: \\\"M. PAMI Antonio\\\". Below it is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". Below it is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". Below it is empty.\\nActually, looking at the lines, row 8, 9, 10 seem to have no address written.\\nWait, let's look at the spacing.\\nRow 8: \\\"M. PAMI Antonio\\\". The line below is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". The line below is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". The line below is empty.\\nSo Address is empty for these.\\n\\nLet's re-verify the \\\"Name and Address\\\" instruction.\\n\\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\n\\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis implies that in the source, there might be a dash.\\nIn the image, the name is on one line, address on the next.\\nSo I will split by newline.\\nName: Line 1\\nAddress: Line 2\\n\\nLet's refine the extraction.\\nRow 1:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\nPriorit\u00e9: 520\\nOrdinaire: 179\\nVotes: 699\\n\\nRow 2:\\nName: M. BREHAM Marc\\nAddress: 16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\nPriorit\u00e9: 520\\nOrdinaire: 179\\nVotes: 699\\n\\nRow 3:\\nName: M. STRAP Pierre\\nAddress: 73 rue des Vignes - Paris (16e)\\nPriorit\u00e9: 80\\nOrdinaire: 68\\nVotes: 148\\n\\nRow 4:\\nName: M. MASSON Daniel\\nAddress: 9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\nPriorit\u00e9: - (or empty)\\nOrdinaire: 10\\nVotes: 10\\n\\nRow 5:\\nName: Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\nAddress: Mme Rue Balzac - Paris (8e)\\nPriorit\u00e9: 822\\nOrdinaire: 168\\nVotes: 990\\n\\nRow 6:\\nName: Soci\u00e9t\u00e9 des Mines de l'Aunieras\\nAddress: Mme Rue Balzac - Paris (8e)\\nPriorit\u00e9: 355\\nOrdinaire: 45\\nVotes: 400\\n\\nRow 7:\\nName: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\nAddress: Mme Rue Balzac - Paris (8e)\\nPriorit\u00e9: 10\\nOrdinaire: - (or empty)\\nVotes: 10\\n\\nRow 8:\\nName: M. PAMI Antonio\\nAddress:\\nPriorit\u00e9: 1\\nOrdinaire: 10\\nVotes: 11\\n\\nRow 9:\\nName: M. PAMI Tarcisio\\nAddress:\\nPriorit\u00e9: 1\\nOrdinaire:\\nVotes: 1\\n\\nRow 10:\\nName: M. SPIESS Giangiorgio\\nAddress:\\nPriorit\u00e9: 1\\nOrdinaire:\\nVotes: 1\\n\\nTotal Row:\\nA REPORTER\\nPriorit\u00e9: 2310\\nOrdinaire: 659\\nVotes: 2969\\n\\nThe prompt asks for \\\"metadata\\\". I will provide the extracted data in a structured format.\\nThe prompt mentions \\\"Filename: Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\\\". This suggests the document is from a meeting on 2.9.12.1962 (Sept 2, 1962? or Dec 2, 1962? 2.9 usually means Sept 2 in Europe, or Dec 2 in US. Given \\\"Neuilly s/ Seine\\\", it's France, so Sept 2, 1962. Or maybe 12.1962 is the date? No, 2.9.12.1962 looks like 2nd September 1962. Or 12th December 1962? 2.9.12.1962 is weird. Maybe 2.9.1962? And 12 is page 12? No, page 4.\\nMaybe 2.9.12.1962 means 2nd September 1962.\\nWait, \\\"2.9_12.1962\\\". Maybe 2nd September 1962.\\nAnyway, I don't need to extract the date unless it's in the table.\\nThe table has \\\"A REPORTER\\\" at the bottom.\\n\\nI will formulate the output as a list of dictionaries.\\nKeys: \\\"Name\\\", \\\"Address\\\", \\\"Priorit\u00e9\\\", \\\"Ordinaire\\\", \\\"Votes\\\".\\nI need to handle the \\\"Name and Address\\\" split.\\nThe instruction \\\"Lose any dashes between name and address but preserve linebreaks\\\" is key.\\nIn the image, the name and address are separated by a line break.\\nSo I will keep the line break in the \\\"Address\\\" field? No, \\\"preserve linebreaks\\\" usually means if there are multiple lines in the address, keep them.\\nBut here, the name is on one line, address on the next.\\nSo \\\"Name\\\" is line 1. \\\"Address\\\" is line 2.\\nThe instruction \\\"Lose any dashes between name and address\\\" might refer to a format like \\\"Name - Address\\\".\\nSince they are on separate lines, I just split by newline.\\n\\nLet's check the address text again.\\n\\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\" -> The dash is part of the address.\\n\\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\" -> Dash part of address.\\n\\\"73 rue des Vignes - Paris (16e)\\\" -> Dash part of address.\\n\\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\" -> Dash part of address.\\n\\\"Mme Rue Balzac - Paris (8e)\\\" -> Dash part of address.\\n\\nSo I will extract:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\n\\nOne detail: \\\"Lose any dashes between name and address\\\".\\nIf the text was \\\"M. BREHAM Alain - 45 Boulevard...\\\", I would remove the dash.\\nBut it's \\\"M. BREHAM Alain\\\\n45 Boulevard...\\\".\\nSo I just split.\\n\\nLet's look at the \\\"Name\\\" field.\\n\\\"M. BREHAM Alain\\\"\\n\\\"M. BREHAM Marc\\\"\\n\\\"M. STRAP Pierre\\\"\\n\\\"M. MASSON Daniel\\\"\\n\\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\" -> \\\"Sicili\\\" is cut off? \\\"Sicili\\\" usually means Sicilian. \\\"Sicili\\\" is likely \\\"Sicili\\\" (Sicilian). Or \\\"Sicilia\\\". The text says \\\"Sicili\\\". I will transcribe \\\"Sicili\\\".\\n\\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\"\\n\\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\"\\n\\\"M. PAMI Antonio\\\"\\n\\\"M. PAMI Tarcisio\\\"\\n\\\"M. SPIESS Giangiorgio\\\"\\n\\nLet's check the \\\"Address\\\" field for rows 8, 9, 10.\\nThey seem empty.\\nWait, let's look at the lines.\\nRow 8: \\\"M. PAMI Antonio\\\". The line below is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". The line below is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". The line below is empty.\\nSo Address is empty string.\\n\\nOne final check on the \\\"Mme\\\" address.\\nIt appears in rows 5, 6, 7.\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\"\\nRow 6: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\"\\nRow 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\"\\nAll have \\\"Mme Rue Balzac - Paris (8e)\\\".\\nThis is likely a shared address or a typo. I will transcribe it as is.\\n\\nThe output format should be a list of objects.\\nI will include the \\\"N\u00b0 D'ORDRE\\\" as well? The prompt doesn't specify, but it's good for context.\\nThe prompt says \\\"extract the metadata\\\".\\nI will extract Name, Address, and the numbers.\\n\\nLet's structure the output.\\n[\\n  {\\n    \\\"Name\\\": \\\"M. BREHAM Alain\\\",\\n    \\\"Address\\\": \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\",\\n    \\\"Priorit\u00e9\\\": 520,\\n    \\\"Ordinaire\\\": 179,\\n    \\\"Votes\\\": 699\\n  },\\n  ...\\n]\\n\\nWait, the prompt says \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nThis confirms my plan.\\n\\nOne detail: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis might mean if the name and address are on the same line separated by a dash, remove the dash.\\nBut in this document, they are on separate lines.\\nSo I will just split by newline.\\n\\nLet's double check the \\\"Mme\\\" part.\\nCould it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the name is clearly a company.\\nCould it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\"?\\nMaybe \\\"Mme\\\" is a typo for \\\"M.\\\" (Monsieur) or \\\"Mise\\\" (placed).\\nGiven it's a company, \\\"Mme\\\" is weird.\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is a woman?\\nBut the name is \\\"Cie Centrale...\\\".\\nMaybe the shareholder is \\\"Mme [Name]\\\" and the \\\"Cie Centrale...\\\" is the company they represent?\\nNo, the column is \\\"NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES\\\".\\nSo the shareholder is the entity named.\\nSo \\\"Cie Centrale...\\\" is the shareholder.\\nSo the address \\\"Mme Rue Balzac\\\" is the address of the shareholder.\\nThis is very strange.\\nMaybe \\\"Mme\\\" stands for \\\"Mme\\\" (Madame) and the shareholder is actually a person named \\\"Mme...\\\"?\\nBut the text is \\\"Cie Centrale...\\\".\\nMaybe \\\"Cie Centrale...\\\" is the company, and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the text is \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\nMaybe \\\"Mme\\\" is a typo for \\\"Mise\\\" (placed). \\\"Mise Rue Balzac\\\".\\nOr maybe \\\"Mme\\\" is a typo for \\\"M.\\\" (Monsieur).\\nI will transcribe it as \\\"Mme\\\" because that's what it looks like.\\nActually, looking really closely at crop 5, the first letter is 'M'. The second looks like 'm'. The third looks like 'e'.\\nSo \\\"Mme\\\".\\nI'll stick with \\\"Mme\\\".\\n\\nOne more check on Row 5 Name: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\n\\\"Sicili\\\" is likely \\\"Sicili\\\" (Sicilian).\\nI will transcribe \\\"Sicili\\\".\\n\\nRow 6 Name: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\".\\n\\\"Aunieras\\\" looks correct.\\n\\nRow 7 Name: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\".\\n\\\"Mini\u00e8res\\\" has a circumflex. \\\"Fran\u00e7aises\\\" has a cedilla.\\n\\nRow 8 Name: \\\"M. PAMI Antonio\\\".\\nRow 9 Name: \\\"M. PAMI Tarcisio\\\".\\nRow 10 Name: \\\"M. SPIESS Giangiorgio\\\".\\n\\nOkay, I'm ready.\\nI will output the data as a list of dictionaries.\\nI will include the \\\"N\u00b0 D'ORDRE\\\" as \\\"Order\\\" or just index.\\nThe prompt doesn't specify the keys. I'll use \\\"Name\\\", \\\"Address\\\", \\\"Priorit\u00e9\\\", \\\"Ordinaire\\\", \\\"Votes\\\".\\nI'll also include \\\"Order\\\" to be complete.\\n\\nWait, the prompt says \\\"extract the metadata according to the given output format.\\\"\\nBut no output format is given in the prompt text.\\n\\\"Please extract the metadata according to the given output format.\\\"\\nMaybe it refers to a standard format I should know?\\nOr maybe the prompt is incomplete?\\n\\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nThis is an instruction on how to process the data.\\nI will assume a JSON format is appropriate.\\n\\nLet's check the bottom row \\\"A REPORTER\\\".\\nIt has numbers: 2310, 659, 2969.\\nI should probably include this as a summary row or just ignore it if it's not a shareholder.\\nThe prompt asks to extract metadata. Usually, this means the rows.\\nI will include the rows 1-10.\\n\\nOne detail: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis instruction is specific.\\nIf the text was \\\"Name - Address\\\", I would remove the dash.\\nIf the text was \\\"Name\\\\nAddress\\\", I would keep the newline?\\n\\\"preserve linebreaks\\\" -> keep the newline.\\n\\\"Lose any dashes between name and address\\\" -> remove the dash if it exists between them.\\nIn this document, there is no dash between name and address. There is a newline.\\nSo I just split by newline.\\n\\nFinal check on the numbers.\\nRow 4: Priorit\u00e9 is \\\"-\\\". Ordinaire is \\\"10\\\". Votes is \\\"10\\\".\\nRow 7: Priorit\u00e9 is \\\"10\\\". Ordinaire is \\\"-\\\". Votes is \\\"10\\\".\\nRow 9: Priorit\u00e9 is \\\"1\\\". Ordinaire is empty. Votes is \\\"1\\\".\\nRow 10: Priorit\u00e9 is \\\"1\\\". Ordinaire is empty. Votes is \\\"1\\\".\\n\\nI will represent empty/missing values as empty strings or null.\\nThe prompt doesn't specify. I'll use empty strings for missing values in the text fields.\\nFor numbers, I'll use the numbers.\\n\\nLet's write down the final extraction.\\n1. Name: M. BREHAM Alain, Address: 45 Boulevard Charcot - Neuilly s/ Seine (Seine), Priorit\u00e9: 520, Ordinaire: 179, Votes: 699\\n2. Name: M. BREHAM Marc, Address: 16, rue Saint Pierre - Neuilly s/ Seine (Seine), Priorit\u00e9: 520, Ordinaire: 179, Votes: 699\\n3. Name: M. STRAP Pierre, Address: 73 rue des Vignes - Paris (16e), Priorit\u00e9: 80, Ordinaire: 68, Votes: 148\\n4. Name: M. MASSON Daniel, Address: 9 rue de l'Orangerie - Compi\u00e8gne (Oise), Priorit\u00e9: -, Ordinaire: 10, Votes: 10\\n5. Name: Cie Centrale de Mines & de M\u00e9tallurgie Sicili, Address: Mme Rue Balzac - Paris (8e), Priorit\u00e9: 822, Ordinaire: 168, Votes: 990\\n6. Name: Soci\u00e9t\u00e9 des Mines de l'Aunieras, Address: Mme Rue Balzac - Paris (8e), Priorit\u00e9: 355, Ordinaire: 45, Votes: 400\\n7. Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises, Address: Mme Rue Balzac - Paris (8e), Priorit\u00e9: 10, Ordinaire: -, Votes: 10\\n8. Name: M. PAMI Antonio, Address: , Priorit\u00e9: 1, Ordinaire: 10, Votes: 11\\n9. Name: M. PAMI Tarcisio, Address: , Priorit\u00e9: 1, Ordinaire: , Votes: 1\\n10. Name: M. SPIESS Giangiorgio, Address: , Priorit\u00e9: 1, Ordinaire: , Votes: 1\\n\\nI will format this as a JSON list.\\nI will interpret \\\"Lose any dashes between name and address\\\" as removing the dash if it separates name and address.\\nIn the image, the name and address are on separate lines.\\nSo I will just split by newline.\\nThe address itself contains dashes (e.g., \\\"Boulevard Charcot - Neuilly\\\"). These should be preserved.\\nThe instruction \\\"preserve linebreaks\\\" likely refers to if the address has multiple lines.\\nIn this document, the address is on one line.\\nSo \\\"Address\\\" will be a single line string.\\n\\nOne detail: \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nThe \\\"s/ Seine\\\" is \\\"sur Seine\\\".\\n\\\"Neuilly s/ Seine\\\" is \\\"Neuilly sur Seine\\\".\\nI will transcribe \\\"s/ Seine\\\".\\n\\n\\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\"\\n\\\"73 rue des Vignes - Paris (16e)\\\"\\n\\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\"\\n\\\"Mme Rue Balzac - Paris (8e)\\\"\\n\\nOkay, I think I have everything.\\nI will produce the JSON output.\\nI will add the \\\"Order\\\" field as well, as it's the first column.\\nThe prompt says \\\"extract the metadata\\\".\\nI'll include all columns.\\n\\nOne final check on Row 5 Name: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\nThe last word is \\\"Sicili\\\". It might be \\\"Sicilia\\\" cut off. But I see \\\"Sicili\\\".\\nI will transcribe \\\"Sicili\\\".\\n\\nOne final check on Row 6 Name: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\".\\n\\\"Aunieras\\\" looks correct.\\n\\nOne final check on Row 7 Name: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\".\\n\\\"Mini\u00e8res\\\" has a circumflex on the first e. \\\"Fran\u00e7aises\\\" has a cedilla on the c.\\n\\nOne final check on Row 8 Name: \\\"M. PAMI Antonio\\\".\\nOne final check on Row 9 Name: \\\"M. PAMI Tarcisio\\\".\\nOne final check on Row 10 Name: \\\"M. SPIESS Giangiorgio\\\".\\n\\nThe \\\"A REPORTER\\\" row is a total row. I will not include it in the list of shareholders, but maybe as a separate field or ignore.\\nThe prompt asks to extract metadata. I'll stick to the rows.\\n\\nWait, looking at the instruction \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis might imply that the input text (if I were processing raw text) would have \\\"Name - Address\\\".\\nBut here I am processing an image.\\nSo I am extracting the text.\\nThe text in the cell is:\\n\\\"M. BREHAM Alain\\n45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nSo I split this into Name and Address.\\nName: \\\"M. BREHAM Alain\\\"\\nAddress: \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nThis matches my plan.\\n\\nI will formulate the response now.\\n\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"The user wants me to extract data from the provided image of a document.\\nThe document is a list of shareholders (actionnaires) with their names, addresses, and share counts.\\nI need to extract specific fields: Name, Address, and the share counts (Priorit\u00e9, Ordinaire, Total).\\nThe prompt asks for \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nIt also says \\\"Lose any dashes between name and address but preserve linebreaks.\\\" This is a bit ambiguous. Looking at the image, the name is on one line and the address is on the next line within the same cell.\\nWait, let's look at the columns.\\nColumn 1: N\u00b0 D'ORDRE (Number)\\nColumn 2: NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES (Name, First Names, and Domicile of Shareholders)\\nColumn 3: ACTIONS (Shares) - split into \\\"de Priorit\u00e9\\\" and \\\"Ordinaire\\\"\\nColumn 4: NOMBRE DE VOIX (Number of Votes)\\nColumn 5: SIGNATURE DES ACTIONNAIRES OU DES MANDATAIRES (Signature)\\n\\nThe prompt asks to extract metadata. It doesn't explicitly list *which* metadata fields, but usually, this implies the main data rows.\\nLet's look at the \\\"Output Format\\\" request. It's not explicitly provided in the prompt text, but the prompt says \\\"Please extract the metadata according to the given output format.\\\" and then \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nThis implies I should output a list of objects or a structured text.\\nLet's assume a JSON-like or structured list format is best, or just a clean text representation.\\nActually, looking at previous similar tasks, the output is usually a list of dictionaries or a structured text block.\\nLet's look at the specific instruction: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis suggests the input might have been \\\"Name - Address\\\" and I need to make it \\\"Name\\\\nAddress\\\".\\nIn the image, the name and address are on separate lines already.\\nRow 1: \\\"M. BREHAM Alain\\\" then \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nRow 2: \\\"M. BREHAM Marc\\\" then \\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\"\\nRow 3: \\\"M. STRAP Pierre\\\" then \\\"73 rue des Vignes - Paris (16e)\\\"\\nRow 4: \\\"M. MASSON Daniel\\\" then \\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\"\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\" then \\\"Mme Rue Balzac - Paris (8e)\\\" -> Wait, \\\"Mme\\\" is likely \\\"Mme\\\" or \\\"Mise\\\" or \\\"M...\\\". Let's look closer. It looks like \\\"Mise Rue Balzac\\\" or \\\"Mme Rue Balzac\\\". Actually, looking at row 6 and 7, it says \\\"Mme Rue Balzac\\\". Wait, \\\"Mme\\\" usually means Madame. Maybe it's a typo for \\\"Mise\\\" (placed) or just \\\"Mme\\\". Let's look at row 6: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\" then \\\"Mme Rue Balzac - Paris (8e)\\\". Row 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\" then \\\"Mme Rue Balzac - Paris (8e)\\\".\\nActually, looking really closely at row 5, 6, 7, the address line starts with \\\"Mme\\\". This is strange. Maybe it's \\\"Mme\\\" as in \\\"Mme\\\" (Madame) but that doesn't fit a company address.\\nLet's re-examine.\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\" (Sicilian Central Mining & Metallurgy Co). Address: \\\"Mme Rue Balzac - Paris (8e)\\\". Wait, is it \\\"Mise\\\"? No, looks like \\\"Mme\\\". Or maybe \\\"M.\\\"? No, looks like \\\"Mme\\\".\\nLet's look at the bottom totals. \\\"A REPORTER\\\".\\nLet's look at the names again.\\n1. M. BREHAM Alain\\n2. M. BREHAM Marc\\n3. M. STRAP Pierre\\n4. M. MASSON Daniel\\n5. Cie Centrale de Mines & de M\u00e9tallurgie Sicili (Sicilian)\\n6. Soci\u00e9t\u00e9 des Mines de l'Aunieras\\n7. Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\n8. M. PAMI Antonio\\n9. M. PAMI Tarcisio\\n10. M. SPIESS Giangiorgio\\n\\nThe prompt asks to extract metadata. I will extract the Name, Address, and the numbers.\\nThe prompt says \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nSo for each row, I need:\\n- Name\\n- Address\\n- Priorit\u00e9 Shares\\n- Ordinaire Shares\\n- Total Votes (or Total Shares? The column header is \\\"NOMBRE DE VOIX\\\" which means Number of Votes. The column \\\"ACTIONS\\\" has \\\"Priorit\u00e9\\\" and \\\"Ordinaire\\\". The sum of Priorit\u00e9 + Ordinaire usually equals Total Shares. The \\\"NOMBRE DE VOIX\\\" column seems to match the sum of the two action columns.\\nRow 1: 520 + 179 = 699. Correct.\\nRow 2: 520 + 179 = 699. Correct.\\nRow 3: 80 + 68 = 148. Correct.\\nRow 4: - + 10 = 10. Correct.\\nRow 5: 822 + 168 = 990. Correct.\\nRow 6: 355 + 45 = 400. Correct.\\nRow 7: 10 + - = 10. Correct.\\nRow 8: 1 + 10 = 11. Correct.\\nRow 9: 1 + - = 1. Correct.\\nRow 10: 1 + - = 1. Correct.\\nTotal at bottom: 2310 (Priorit\u00e9 sum), 659 (Ordinaire sum), 2969 (Total sum).\\nLet's check the sums.\\nPriorit\u00e9: 520+520+80+0+822+355+10+1+1+1 = 1910?\\nWait.\\n520+520 = 1040\\n1040+80 = 1120\\n1120+822 = 1942\\n1942+355 = 2297\\n2297+10 = 2307\\n2307+1+1+1 = 2310. Correct.\\nOrdinaire: 179+179+68+10+168+45+0+10+0+0 = 659?\\n179+179 = 358\\n358+68 = 426\\n426+10 = 436\\n436+168 = 604\\n604+45 = 649\\n649+10 = 659. Correct.\\nTotal: 699+699+148+10+990+400+10+11+1+1 = 2969?\\n699+699 = 1398\\n1398+148 = 1546\\n1546+10 = 1556\\n1556+990 = 2546\\n2546+400 = 2946\\n2946+10 = 2956\\n2956+11 = 2967\\n2967+1+1 = 2969. Correct.\\n\\nOkay, I have all the numbers.\\nNow for the text extraction.\\nThe prompt says \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis is a specific instruction.\\nIn the image, the name is on one line, address on the next.\\nExample Row 1:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\nThe dash in the address \\\"Boulevard Charcot - Neuilly\\\" should be preserved.\\nThe \\\"visual splitting character\\\" between name and address is likely the newline.\\nSo I should output:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\n\\nWait, looking at the instruction \\\"Lose any dashes between name and address\\\".\\nMaybe it means if the text was \\\"Name - Address\\\", I should remove the dash.\\nBut here they are on separate lines.\\nLet's assume the \\\"Name and Address\\\" field in the table contains both.\\nSo I need to split that field.\\nField content:\\n\\\"M. BREHAM Alain\\n45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nSplit into Name: \\\"M. BREHAM Alain\\\"\\nAddress: \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\n\\nLet's look at Row 5, 6, 7 address.\\n\\\"Mme Rue Balzac - Paris (8e)\\\"\\nThis looks like a typo in the original document for \\\"Mme\\\" (Madame) or maybe \\\"Mise\\\" (placed at). Or maybe \\\"M.\\\" (Monsieur). Given it's a company address, maybe it's just \\\"Mme\\\" as a placeholder or error. I will transcribe it as written: \\\"Mme Rue Balzac - Paris (8e)\\\". Wait, looking really closely at crop 5, it looks like \\\"Mme\\\". Or maybe \\\"Mise\\\". Let's assume \\\"Mme\\\" as it looks like M-m-e. Actually, looking at row 6 and 7, it's the same.\\nWait, let's look at the full image again.\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\"\\nAddress: \\\"Mme Rue Balzac - Paris (8e)\\\" -> This is very likely \\\"Mme\\\" but makes no sense. Could it be \\\"Mise\\\"? \\\"Mise Rue Balzac\\\". No, \\\"Mise\\\" is usually followed by \\\"\u00e0\\\".\\nCould it be \\\"M.\\\"? No, looks like \\\"Mme\\\".\\nCould it be \\\"Mme\\\" standing for \\\"Mme\\\" (Madame) but the shareholder is a company?\\nLet's look at the shareholder name: \\\"Cie Centrale...\\\".\\nMaybe the address is \\\"Mme Rue Balzac\\\".\\nActually, looking at the other rows, \\\"Rue Balzac\\\" is a street.\\nMaybe it's \\\"Mme\\\" as in \\\"Mme\\\" (Madame) and the shareholder is a person? No, \\\"Cie Centrale\\\" is a company.\\nMaybe it's \\\"Mise\\\" (placed).\\nLet's look at the handwriting. It looks like \\\"Mme\\\".\\nLet's look at row 6: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\". Address: \\\"Mme Rue Balzac\\\".\\nRow 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\". Address: \\\"Mme Rue Balzac\\\".\\nThis is strange. \\\"Mme\\\" usually means Madame.\\nMaybe it's \\\"M.\\\" (Monsieur) but written with a macron? No.\\nMaybe it's \\\"Mme\\\" as an abbreviation for \\\"Mme\\\" (Madame) and the shareholder is actually a person named \\\"Mme...\\\"? No, the name is clearly a company.\\nMaybe it's \\\"Mme\\\" meaning \\\"Mme\\\" (Madame) and the address is just \\\"Rue Balzac\\\".\\nLet's assume the text is \\\"Mme Rue Balzac - Paris (8e)\\\". I will transcribe it as is.\\nWait, could it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"? No, the name is \\\"Cie Centrale...\\\".\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\".\\nLet's look at the letters. M-m-e.\\nMaybe it's \\\"Mme\\\" (Madame) and the shareholder is a woman? But the name is \\\"Cie Centrale...\\\".\\nMaybe it's a typo for \\\"Mise\\\" (placed).\\nOr maybe \\\"Mme\\\" stands for \\\"Mme\\\" (Madame) and the shareholder is actually \\\"Mme [Name]\\\" and the \\\"Cie Centrale...\\\" is something else? No, the line is \\\"Cie Centrale...\\\".\\nLet's just transcribe what I see: \\\"Mme Rue Balzac - Paris (8e)\\\".\\nActually, looking really closely at crop 5, it looks like \\\"Mme\\\".\\nWait, could it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the text is \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\nMaybe the address is \\\"Mme Rue Balzac\\\".\\nLet's look at the bottom total.\\nThe prompt asks for \\\"Name and Address\\\".\\nI will extract the name and address for each row.\\n\\nRow 1:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\n\\nRow 2:\\nName: M. BREHAM Marc\\nAddress: 16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\n\\nRow 3:\\nName: M. STRAP Pierre\\nAddress: 73 rue des Vignes - Paris (16e)\\n\\nRow 4:\\nName: M. MASSON Daniel\\nAddress: 9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\n\\nRow 5:\\nName: Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\nAddress: Mme Rue Balzac - Paris (8e) -> I'll transcribe \\\"Mme\\\" as it looks like it. Or maybe \\\"Mise\\\". Let's look at the 'i'. It has a dot. So \\\"Mise\\\"? No, the dot is on the 'i' in \\\"Sicili\\\" above. The letter in address looks like 'm'. Then 'e'. So \\\"Mme\\\".\\nWait, could it be \\\"Mme\\\" as in \\\"Mme\\\" (Madame) and the shareholder is a person?\\nNo, the name is clearly a company.\\nMaybe it's \\\"Mme\\\" as an abbreviation for \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\".\\nLet's assume it's \\\"Mme\\\".\\nActually, looking at row 6 and 7, it's the same address.\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the name is \\\"Soci\u00e9t\u00e9 des Mines...\\\".\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\".\\nLet's just transcribe \\\"Mme Rue Balzac - Paris (8e)\\\".\\n\\nRow 6:\\nName: Soci\u00e9t\u00e9 des Mines de l'Aunieras\\nAddress: Mme Rue Balzac - Paris (8e)\\n\\nRow 7:\\nName: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\nAddress: Mme Rue Balzac - Paris (8e)\\n\\nRow 8:\\nName: M. PAMI Antonio\\nAddress: (Empty) -> Wait, looking at row 8, the address field is empty.\\nWait, let's look at the full image.\\nRow 8: \\\"M. PAMI Antonio\\\". The address line is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". The address line is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". The address line is empty.\\nWait, let's look closer.\\nRow 8: \\\"M. PAMI Antonio\\\". Below it is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". Below it is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". Below it is empty.\\nActually, looking at the lines, row 8, 9, 10 seem to have no address written.\\nWait, let's look at the spacing.\\nRow 8: \\\"M. PAMI Antonio\\\". The line below is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". The line below is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". The line below is empty.\\nSo Address is empty for these.\\n\\nLet's re-verify the \\\"Name and Address\\\" instruction.\\n\\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\n\\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis implies that in the source, there might be a dash.\\nIn the image, the name is on one line, address on the next.\\nSo I will split by newline.\\nName: Line 1\\nAddress: Line 2\\n\\nLet's refine the extraction.\\nRow 1:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\nPriorit\u00e9: 520\\nOrdinaire: 179\\nVotes: 699\\n\\nRow 2:\\nName: M. BREHAM Marc\\nAddress: 16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\nPriorit\u00e9: 520\\nOrdinaire: 179\\nVotes: 699\\n\\nRow 3:\\nName: M. STRAP Pierre\\nAddress: 73 rue des Vignes - Paris (16e)\\nPriorit\u00e9: 80\\nOrdinaire: 68\\nVotes: 148\\n\\nRow 4:\\nName: M. MASSON Daniel\\nAddress: 9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\nPriorit\u00e9: - (or empty)\\nOrdinaire: 10\\nVotes: 10\\n\\nRow 5:\\nName: Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\nAddress: Mme Rue Balzac - Paris (8e)\\nPriorit\u00e9: 822\\nOrdinaire: 168\\nVotes: 990\\n\\nRow 6:\\nName: Soci\u00e9t\u00e9 des Mines de l'Aunieras\\nAddress: Mme Rue Balzac - Paris (8e)\\nPriorit\u00e9: 355\\nOrdinaire: 45\\nVotes: 400\\n\\nRow 7:\\nName: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\nAddress: Mme Rue Balzac - Paris (8e)\\nPriorit\u00e9: 10\\nOrdinaire: - (or empty)\\nVotes: 10\\n\\nRow 8:\\nName: M. PAMI Antonio\\nAddress:\\nPriorit\u00e9: 1\\nOrdinaire: 10\\nVotes: 11\\n\\nRow 9:\\nName: M. PAMI Tarcisio\\nAddress:\\nPriorit\u00e9: 1\\nOrdinaire:\\nVotes: 1\\n\\nRow 10:\\nName: M. SPIESS Giangiorgio\\nAddress:\\nPriorit\u00e9: 1\\nOrdinaire:\\nVotes: 1\\n\\nTotal Row:\\nA REPORTER\\nPriorit\u00e9: 2310\\nOrdinaire: 659\\nVotes: 2969\\n\\nThe prompt asks for \\\"metadata\\\". I will provide the extracted data in a structured format.\\nThe prompt mentions \\\"Filename: Se_19_Assembl\u00e9e Mine d. Costano_2.9_12.1962_page_4\\\". This suggests the document is from a meeting on 2.9.12.1962 (Sept 2, 1962? or Dec 2, 1962? 2.9 usually means Sept 2 in Europe, or Dec 2 in US. Given \\\"Neuilly s/ Seine\\\", it's France, so Sept 2, 1962. Or maybe 12.1962 is the date? No, 2.9.12.1962 looks like 2nd September 1962. Or 12th December 1962? 2.9.12.1962 is weird. Maybe 2.9.1962? And 12 is page 12? No, page 4.\\nMaybe 2.9.12.1962 means 2nd September 1962.\\nWait, \\\"2.9_12.1962\\\". Maybe 2nd September 1962.\\nAnyway, I don't need to extract the date unless it's in the table.\\nThe table has \\\"A REPORTER\\\" at the bottom.\\n\\nI will formulate the output as a list of dictionaries.\\nKeys: \\\"Name\\\", \\\"Address\\\", \\\"Priorit\u00e9\\\", \\\"Ordinaire\\\", \\\"Votes\\\".\\nI need to handle the \\\"Name and Address\\\" split.\\nThe instruction \\\"Lose any dashes between name and address but preserve linebreaks\\\" is key.\\nIn the image, the name and address are separated by a line break.\\nSo I will keep the line break in the \\\"Address\\\" field? No, \\\"preserve linebreaks\\\" usually means if there are multiple lines in the address, keep them.\\nBut here, the name is on one line, address on the next.\\nSo \\\"Name\\\" is line 1. \\\"Address\\\" is line 2.\\nThe instruction \\\"Lose any dashes between name and address\\\" might refer to a format like \\\"Name - Address\\\".\\nSince they are on separate lines, I just split by newline.\\n\\nLet's check the address text again.\\n\\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\" -> The dash is part of the address.\\n\\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\" -> Dash part of address.\\n\\\"73 rue des Vignes - Paris (16e)\\\" -> Dash part of address.\\n\\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\" -> Dash part of address.\\n\\\"Mme Rue Balzac - Paris (8e)\\\" -> Dash part of address.\\n\\nSo I will extract:\\nName: M. BREHAM Alain\\nAddress: 45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\n\\nOne detail: \\\"Lose any dashes between name and address\\\".\\nIf the text was \\\"M. BREHAM Alain - 45 Boulevard...\\\", I would remove the dash.\\nBut it's \\\"M. BREHAM Alain\\\\n45 Boulevard...\\\".\\nSo I just split.\\n\\nLet's look at the \\\"Name\\\" field.\\n\\\"M. BREHAM Alain\\\"\\n\\\"M. BREHAM Marc\\\"\\n\\\"M. STRAP Pierre\\\"\\n\\\"M. MASSON Daniel\\\"\\n\\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\" -> \\\"Sicili\\\" is cut off? \\\"Sicili\\\" usually means Sicilian. \\\"Sicili\\\" is likely \\\"Sicili\\\" (Sicilian). Or \\\"Sicilia\\\". The text says \\\"Sicili\\\". I will transcribe \\\"Sicili\\\".\\n\\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\"\\n\\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\"\\n\\\"M. PAMI Antonio\\\"\\n\\\"M. PAMI Tarcisio\\\"\\n\\\"M. SPIESS Giangiorgio\\\"\\n\\nLet's check the \\\"Address\\\" field for rows 8, 9, 10.\\nThey seem empty.\\nWait, let's look at the lines.\\nRow 8: \\\"M. PAMI Antonio\\\". The line below is empty.\\nRow 9: \\\"M. PAMI Tarcisio\\\". The line below is empty.\\nRow 10: \\\"M. SPIESS Giangiorgio\\\". The line below is empty.\\nSo Address is empty string.\\n\\nOne final check on the \\\"Mme\\\" address.\\nIt appears in rows 5, 6, 7.\\nRow 5: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\"\\nRow 6: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\"\\nRow 7: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\"\\nAll have \\\"Mme Rue Balzac - Paris (8e)\\\".\\nThis is likely a shared address or a typo. I will transcribe it as is.\\n\\nThe output format should be a list of objects.\\nI will include the \\\"N\u00b0 D'ORDRE\\\" as well? The prompt doesn't specify, but it's good for context.\\nThe prompt says \\\"extract the metadata\\\".\\nI will extract Name, Address, and the numbers.\\n\\nLet's structure the output.\\n[\\n  {\\n    \\\"Name\\\": \\\"M. BREHAM Alain\\\",\\n    \\\"Address\\\": \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\",\\n    \\\"Priorit\u00e9\\\": 520,\\n    \\\"Ordinaire\\\": 179,\\n    \\\"Votes\\\": 699\\n  },\\n  ...\\n]\\n\\nWait, the prompt says \\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nThis confirms my plan.\\n\\nOne detail: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis might mean if the name and address are on the same line separated by a dash, remove the dash.\\nBut in this document, they are on separate lines.\\nSo I will just split by newline.\\n\\nLet's double check the \\\"Mme\\\" part.\\nCould it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the name is clearly a company.\\nCould it be \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the address is \\\"Mme Rue Balzac\\\"?\\nMaybe \\\"Mme\\\" is a typo for \\\"M.\\\" (Monsieur) or \\\"Mise\\\" (placed).\\nGiven it's a company, \\\"Mme\\\" is weird.\\nMaybe it's \\\"Mme\\\" -> \\\"Mme\\\" (Madame) and the shareholder is a woman?\\nBut the name is \\\"Cie Centrale...\\\".\\nMaybe the shareholder is \\\"Mme [Name]\\\" and the \\\"Cie Centrale...\\\" is the company they represent?\\nNo, the column is \\\"NOM, PR\u00c9NOMS ET DOMICILE DES ACTIONNAIRES\\\".\\nSo the shareholder is the entity named.\\nSo \\\"Cie Centrale...\\\" is the shareholder.\\nSo the address \\\"Mme Rue Balzac\\\" is the address of the shareholder.\\nThis is very strange.\\nMaybe \\\"Mme\\\" stands for \\\"Mme\\\" (Madame) and the shareholder is actually a person named \\\"Mme...\\\"?\\nBut the text is \\\"Cie Centrale...\\\".\\nMaybe \\\"Cie Centrale...\\\" is the company, and the shareholder is \\\"Mme [Name]\\\"?\\nNo, the text is \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\nMaybe \\\"Mme\\\" is a typo for \\\"Mise\\\" (placed). \\\"Mise Rue Balzac\\\".\\nOr maybe \\\"Mme\\\" is a typo for \\\"M.\\\" (Monsieur).\\nI will transcribe it as \\\"Mme\\\" because that's what it looks like.\\nActually, looking really closely at crop 5, the first letter is 'M'. The second looks like 'm'. The third looks like 'e'.\\nSo \\\"Mme\\\".\\nI'll stick with \\\"Mme\\\".\\n\\nOne more check on Row 5 Name: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\n\\\"Sicili\\\" is likely \\\"Sicili\\\" (Sicilian).\\nI will transcribe \\\"Sicili\\\".\\n\\nRow 6 Name: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\".\\n\\\"Aunieras\\\" looks correct.\\n\\nRow 7 Name: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\".\\n\\\"Mini\u00e8res\\\" has a circumflex. \\\"Fran\u00e7aises\\\" has a cedilla.\\n\\nRow 8 Name: \\\"M. PAMI Antonio\\\".\\nRow 9 Name: \\\"M. PAMI Tarcisio\\\".\\nRow 10 Name: \\\"M. SPIESS Giangiorgio\\\".\\n\\nOkay, I'm ready.\\nI will output the data as a list of dictionaries.\\nI will include the \\\"N\u00b0 D'ORDRE\\\" as \\\"Order\\\" or just index.\\nThe prompt doesn't specify the keys. I'll use \\\"Name\\\", \\\"Address\\\", \\\"Priorit\u00e9\\\", \\\"Ordinaire\\\", \\\"Votes\\\".\\nI'll also include \\\"Order\\\" to be complete.\\n\\nWait, the prompt says \\\"extract the metadata according to the given output format.\\\"\\nBut no output format is given in the prompt text.\\n\\\"Please extract the metadata according to the given output format.\\\"\\nMaybe it refers to a standard format I should know?\\nOr maybe the prompt is incomplete?\\n\\\"Name and Address are in the same table field. Your task is to extract them into separate fields.\\\"\\nThis is an instruction on how to process the data.\\nI will assume a JSON format is appropriate.\\n\\nLet's check the bottom row \\\"A REPORTER\\\".\\nIt has numbers: 2310, 659, 2969.\\nI should probably include this as a summary row or just ignore it if it's not a shareholder.\\nThe prompt asks to extract metadata. Usually, this means the rows.\\nI will include the rows 1-10.\\n\\nOne detail: \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis instruction is specific.\\nIf the text was \\\"Name - Address\\\", I would remove the dash.\\nIf the text was \\\"Name\\\\nAddress\\\", I would keep the newline?\\n\\\"preserve linebreaks\\\" -> keep the newline.\\n\\\"Lose any dashes between name and address\\\" -> remove the dash if it exists between them.\\nIn this document, there is no dash between name and address. There is a newline.\\nSo I just split by newline.\\n\\nFinal check on the numbers.\\nRow 4: Priorit\u00e9 is \\\"-\\\". Ordinaire is \\\"10\\\". Votes is \\\"10\\\".\\nRow 7: Priorit\u00e9 is \\\"10\\\". Ordinaire is \\\"-\\\". Votes is \\\"10\\\".\\nRow 9: Priorit\u00e9 is \\\"1\\\". Ordinaire is empty. Votes is \\\"1\\\".\\nRow 10: Priorit\u00e9 is \\\"1\\\". Ordinaire is empty. Votes is \\\"1\\\".\\n\\nI will represent empty/missing values as empty strings or null.\\nThe prompt doesn't specify. I'll use empty strings for missing values in the text fields.\\nFor numbers, I'll use the numbers.\\n\\nLet's write down the final extraction.\\n1. Name: M. BREHAM Alain, Address: 45 Boulevard Charcot - Neuilly s/ Seine (Seine), Priorit\u00e9: 520, Ordinaire: 179, Votes: 699\\n2. Name: M. BREHAM Marc, Address: 16, rue Saint Pierre - Neuilly s/ Seine (Seine), Priorit\u00e9: 520, Ordinaire: 179, Votes: 699\\n3. Name: M. STRAP Pierre, Address: 73 rue des Vignes - Paris (16e), Priorit\u00e9: 80, Ordinaire: 68, Votes: 148\\n4. Name: M. MASSON Daniel, Address: 9 rue de l'Orangerie - Compi\u00e8gne (Oise), Priorit\u00e9: -, Ordinaire: 10, Votes: 10\\n5. Name: Cie Centrale de Mines & de M\u00e9tallurgie Sicili, Address: Mme Rue Balzac - Paris (8e), Priorit\u00e9: 822, Ordinaire: 168, Votes: 990\\n6. Name: Soci\u00e9t\u00e9 des Mines de l'Aunieras, Address: Mme Rue Balzac - Paris (8e), Priorit\u00e9: 355, Ordinaire: 45, Votes: 400\\n7. Name: Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises, Address: Mme Rue Balzac - Paris (8e), Priorit\u00e9: 10, Ordinaire: -, Votes: 10\\n8. Name: M. PAMI Antonio, Address: , Priorit\u00e9: 1, Ordinaire: 10, Votes: 11\\n9. Name: M. PAMI Tarcisio, Address: , Priorit\u00e9: 1, Ordinaire: , Votes: 1\\n10. Name: M. SPIESS Giangiorgio, Address: , Priorit\u00e9: 1, Ordinaire: , Votes: 1\\n\\nI will format this as a JSON list.\\nI will interpret \\\"Lose any dashes between name and address\\\" as removing the dash if it separates name and address.\\nIn the image, the name and address are on separate lines.\\nSo I will just split by newline.\\nThe address itself contains dashes (e.g., \\\"Boulevard Charcot - Neuilly\\\"). These should be preserved.\\nThe instruction \\\"preserve linebreaks\\\" likely refers to if the address has multiple lines.\\nIn this document, the address is on one line.\\nSo \\\"Address\\\" will be a single line string.\\n\\nOne detail: \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nThe \\\"s/ Seine\\\" is \\\"sur Seine\\\".\\n\\\"Neuilly s/ Seine\\\" is \\\"Neuilly sur Seine\\\".\\nI will transcribe \\\"s/ Seine\\\".\\n\\n\\\"16, rue Saint Pierre - Neuilly s/ Seine (Seine)\\\"\\n\\\"73 rue des Vignes - Paris (16e)\\\"\\n\\\"9 rue de l'Orangerie - Compi\u00e8gne (Oise)\\\"\\n\\\"Mme Rue Balzac - Paris (8e)\\\"\\n\\nOkay, I think I have everything.\\nI will produce the JSON output.\\nI will add the \\\"Order\\\" field as well, as it's the first column.\\nThe prompt says \\\"extract the metadata\\\".\\nI'll include all columns.\\n\\nOne final check on Row 5 Name: \\\"Cie Centrale de Mines & de M\u00e9tallurgie Sicili\\\".\\nThe last word is \\\"Sicili\\\". It might be \\\"Sicilia\\\" cut off. But I see \\\"Sicili\\\".\\nI will transcribe \\\"Sicili\\\".\\n\\nOne final check on Row 6 Name: \\\"Soci\u00e9t\u00e9 des Mines de l'Aunieras\\\".\\n\\\"Aunieras\\\" looks correct.\\n\\nOne final check on Row 7 Name: \\\"Soci\u00e9t\u00e9 de Recherches Mini\u00e8res Fran\u00e7aises\\\".\\n\\\"Mini\u00e8res\\\" has a circumflex on the first e. \\\"Fran\u00e7aises\\\" has a cedilla on the c.\\n\\nOne final check on Row 8 Name: \\\"M. PAMI Antonio\\\".\\nOne final check on Row 9 Name: \\\"M. PAMI Tarcisio\\\".\\nOne final check on Row 10 Name: \\\"M. SPIESS Giangiorgio\\\".\\n\\nThe \\\"A REPORTER\\\" row is a total row. I will not include it in the list of shareholders, but maybe as a separate field or ignore.\\nThe prompt asks to extract metadata. I'll stick to the rows.\\n\\nWait, looking at the instruction \\\"Lose any dashes between name and address but preserve linebreaks.\\\"\\nThis might imply that the input text (if I were processing raw text) would have \\\"Name - Address\\\".\\nBut here I am processing an image.\\nSo I am extracting the text.\\nThe text in the cell is:\\n\\\"M. BREHAM Alain\\n45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nSo I split this into Name and Address.\\nName: \\\"M. BREHAM Alain\\\"\\nAddress: \\\"45 Boulevard Charcot - Neuilly s/ Seine (Seine)\\\"\\nThis matches my plan.\\n\\nI will formulate the response now.\\n\",\"format\":\"unknown\",\"index\":0}]},\"native_finish_reason\":\"stop\"}],\"created\":1783065508,\"model\":\"qwen/qwen3.5-35b-a3b-20260224\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":9193,\"prompt_tokens\":1083,\"total_tokens\":10276,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":0,\"reasoning_tokens\":6432,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":0,\"cache_write_tokens\":0,\"video_tokens\":0},\"cost\":0.00934462,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.00934462,\"upstream_inference_prompt_cost\":0.00015162,\"upstream_inference_completions_cost\":0.009193}},\"provider\":\"DeepInfra\"}"}, "scoring": {"fuzzy": 0.7917811542837234, "cost_summary": {"total_input_tokens": 24657, "total_output_tokens": 71507, "total_tokens": 96164, "input_cost_usd": 0.0040067625, "output_cost_usd": 0.0929591, "total_cost_usd": 0.0969658625}}, "normalized_score": 79.17811542837234}