{"_id": {"$oid": "6a478c6124b401ab26c43d72"}, "test_id": "T1162", "benchmark": "personnel_cards", "date": "2026-06-22", "tags": {"document-type": ["index-card"], "writing": ["handwritten", "typed", "printed"], "century": [20], "layout": ["table", "form"], "task": ["transcription", "document-understanding", "data-correction"], "language": ["de", "fr"]}, "contributors": ["tabea_wullschleger", "maximilian_hindermann"], "hidden": false, "config": {"provider": "scicore", "model": "qwen35-397b-a17b-fp8", "dataclass": "Table", "temperature": 0.0, "role_description": "You are a historian specializing in 20th century personnel records and administrative documents", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Extract all information from this personnel card table and return it as a structured JSON object. The card contains rows documenting employment history with positions, locations, salary information, dates, and remarks.\n\nREQUIRED JSON STRUCTURE:\n```json\n{\n  \"rows\": [\n    {\n      \"row_number\": 1,\n      \"dienstliche_stellung\": {\n        \"diplomatic_transcript\": \"exact text from card\",\n        \"interpretation\": \"expanded/standardized form or null\",\n        \"is_crossed_out\": false\n      },\n      \"dienstort\": {\n        \"diplomatic_transcript\": \"exact text from card\",\n        \"interpretation\": \"expanded/standardized form or null\",\n        \"is_crossed_out\": false\n      },\n      \"gehaltsklasse\": {\n        \"diplomatic_transcript\": \"exact text from card\",\n        \"interpretation\": \"expanded/standardized form or null\",\n        \"is_crossed_out\": false\n      },\n      \"jahresgehalt_monatsgehalt_taglohn\": {\n        \"diplomatic_transcript\": \"exact text from card\",\n        \"interpretation\": \"standardized numeric form or null\",\n        \"is_crossed_out\": false\n      },\n      \"datum_gehalts\u00e4nderung\": {\n        \"diplomatic_transcript\": \"exact text from card\",\n        \"interpretation\": \"YYYY-MM-DD format or null\",\n        \"is_crossed_out\": false\n      },\n      \"bemerkungen\": {\n        \"diplomatic_transcript\": \"exact text from card\",\n        \"interpretation\": \"expanded/standardized form or null\",\n        \"is_crossed_out\": false\n      }\n    }\n  ]\n}\n```\n\nCOLUMN DEFINITIONS:\n1. **dienstliche_stellung**: Official position or job title (e.g., \"Assistent\", \"Professor\", \"Sekret\u00e4r\")\n2. **dienstort**: Place of service or work location (e.g., \"Basel\", \"Z\u00fcrich\")\n3. **gehaltsklasse**: Salary class or grade (e.g., \"III\", \"IV\", roman numerals or numbers)\n4. **jahresgehalt_monatsgehalt_taglohn**: Salary amount (annual/monthly/daily wage)\n5. **datum_gehalts\u00e4nderung**: Date of salary change or effective date\n6. **bemerkungen**: Remarks, notes, or additional comments\n\nFIELD EXTRACTION RULES:\n\n**diplomatic_transcript** (REQUIRED for all fields):\n- Transcribe EXACTLY as written on the card\n- Include all abbreviations, punctuation, and formatting as they appear\n- Preserve original capitalization and spacing\n- Include currency symbols and separators (e.g., \"Fr. 2'400.-\", \"3.700.-\")\n- For dates, copy the exact format (e.g., \"1. Jan. 1946\", \"1.April 1945\")\n- Use empty string \"\" for empty cells\n- Be sure to escape ditto marks (repetition marks such as `\"` indicating \"same as above\")\n- DO NOT expand abbreviations or standardize formats\n- Do not transcribe checkmarks\n\n**interpretation** (OPTIONAL - use null if not applicable):\n- For ditto marks (repetition marks such as `\"`): Replace with the actual repeated value from the previous row in the same column\n  - For example, if previous row's dienstliche_stellung is \"Hilfsleiterin\" and current row has `\"`, interpret as \"Hilfsleiterin\"\n  - Do NOT add explanatory text like \"wie oben\" or similar - just provide the repeated value\n- Never expand abbreviations\n- For dates: Convert to ISO format YYYY-MM-DD\n  - \"1. Jan. 1946\" \u2192 \"1946-01-01\"\n  - \"1.April 1945\" \u2192 \"1945-04-01\"\n- For salary amounts: Extract numeric value only (remove currency symbols, separators)\n  - \"Fr. 2'400.-\" \u2192 \"2400\"\n  - \"3.700.-\" \u2192 \"3700\"\n  - \"5.094.-\" \u2192 \"5094\"\n  \"6,30.-\" \u2192 \"6.3\"\n- For salary class: Convert roman numerals to arabic if clear\n  - \"III\" \u2192 \"3\"\n  - \"IV\" \u2192 \"4\"\n- Do not convert roman numerals to arabic if not salary, date, or salary class\n- Use null if no interpretation/expansion is needed or if the field is empty\n- \"+ {word}\" where {word} is a word does not need interpretation\n\n**is_crossed_out** (REQUIRED for all fields):\n- Set to true if text in this field is crossed out, struck through, or deleted\n- Set to false if text is normal (not crossed out)\n- Empty cells should have is_crossed_out: false\n\nROW HANDLING:\n- Number rows sequentially starting from 1 (top to bottom)\n- Include ALL rows that have ANY content in ANY column\n- Empty rows (all cells empty) should be omitted\n- A row with only one filled cell should still be included\n\nIMPORTANT NOTES:\n- Return ONLY the JSON object, no additional text or explanation\n- Every field must have all three sub-fields: diplomatic_transcript, interpretation, is_crossed_out\n- diplomatic_transcript must never be null (use empty string \"\" for empty cells)\n- interpretation can be null when no expansion/standardization applies\n- Process the entire table from top to bottom\n- Maintain consistent row numbering throughout\n", "results": {"text": "{\"rows\":[{\"row_number\":1,\"dienstliche_stellung\":{\"diplomatic_transcript\":\"Hilfsleiter-Rechnungsf\u00fchrer\",\"interpretation\":null,\"is_crossed_out\":false},\"dienstort\":{\"diplomatic_transcript\":\"\",\"interpretation\":null,\"is_crossed_out\":false},\"gehaltsklasse\":{\"diplomatic_transcript\":\"\",\"interpretation\":null,\"is_crossed_out\":false},\"jahresgehalt_monatsgehalt_taglohn\":{\"diplomatic_transcript\":\"3'500.-\",\"interpretation\":\"3500\",\"is_crossed_out\":false},\"datum_gehalts\u00e4nderung\":{\"diplomatic_transcript\":\"9. Aug. 1943\",\"interpretation\":\"1943-08-09\",\"is_crossed_out\":false},\"bemerkungen\":{\"diplomatic_transcript\":\"\",\"interpretation\":null,\"is_crossed_out\":false}},{\"row_number\":2,\"dienstliche_stellung\":{\"diplomatic_transcript\":\"\\\"\",\"interpretation\":\"Hilfsleiter-Rechnungsf\u00fchrer\",\"is_crossed_out\":false},\"dienstort\":{\"diplomatic_transcript\":\"\",\"interpretation\":null,\"is_crossed_out\":false},\"gehaltsklasse\":{\"diplomatic_transcript\":\"\",\"interpretation\":null,\"is_crossed_out\":false},\"jahresgehalt_monatsgehalt_taglohn\":{\"diplomatic_transcript\":\"3'560.-\",\"interpretation\":\"3560\",\"is_crossed_out\":false},\"datum_gehalts\u00e4nderung\":{\"diplomatic_transcript\":\"1. Jan. 1944\",\"interpretation\":\"1944-01-01\",\"is_crossed_out\":false},\"bemerkungen\":{\"diplomatic_transcript\":\"\",\"interpretation\":null,\"is_crossed_out\":false}}]}", "model": "qwen35-397b-a17b-fp8", "provider": "scicore", "finish_reason": "stop", "usage": {"input_tokens": 4294, "output_tokens": 2421, "total_tokens": 6715}, "duration": 38.35260796546936, "timestamp": "2026-06-22T18:04:30.521195", "parsed": {"rows": [{"row_number": 1, "dienstliche_stellung": {"diplomatic_transcript": "Hilfsleiter-Rechnungsf\u00fchrer", "interpretation": null, "is_crossed_out": false}, "dienstort": {"diplomatic_transcript": "", "interpretation": null, "is_crossed_out": false}, "gehaltsklasse": {"diplomatic_transcript": "", "interpretation": null, "is_crossed_out": false}, "jahresgehalt_monatsgehalt_taglohn": {"diplomatic_transcript": "3'500.-", "interpretation": "3500", "is_crossed_out": false}, "datum_gehalts\u00e4nderung": {"diplomatic_transcript": "9. Aug. 1943", "interpretation": "1943-08-09", "is_crossed_out": false}, "bemerkungen": {"diplomatic_transcript": "", "interpretation": null, "is_crossed_out": false}}, {"row_number": 2, "dienstliche_stellung": {"diplomatic_transcript": "\"", "interpretation": "Hilfsleiter-Rechnungsf\u00fchrer", "is_crossed_out": false}, "dienstort": {"diplomatic_transcript": "", "interpretation": null, "is_crossed_out": false}, "gehaltsklasse": {"diplomatic_transcript": "", "interpretation": null, "is_crossed_out": false}, "jahresgehalt_monatsgehalt_taglohn": {"diplomatic_transcript": "3'560.-", "interpretation": "3560", "is_crossed_out": false}, "datum_gehalts\u00e4nderung": {"diplomatic_transcript": "1. Jan. 1944", "interpretation": "1944-01-01", "is_crossed_out": false}, "bemerkungen": {"diplomatic_transcript": "", "interpretation": null, "is_crossed_out": false}}]}, "conversation_id": "03bb8b8f-8910-4f1f-8c2f-2e4ebe1e466f", "score": {"f1_score": 1.0, "precision": 1.0, "recall": 1.0, "true_positives": 23, "false_positives": 0, "false_negatives": 0, "field_scores": {"rows[0].datum_gehalts\u00e4nderung.diplomatic_transcript": {"response": "9. Aug. 1943", "ground_truth": "9. Aug. 1943", "score": 1.0}, "rows[1].jahresgehalt_monatsgehalt_taglohn.interpretation": {"response": "3560", "ground_truth": "3560", "score": 1.0}, "rows[0].dienstort.interpretation": {"response": null, "ground_truth": null, "score": 1.0}, "rows[0].bemerkungen.interpretation": {"response": null, "ground_truth": null, "score": 1.0}, "rows[1].dienstort.interpretation": {"response": null, "ground_truth": null, "score": 1.0}, "rows[0].dienstliche_stellung.diplomatic_transcript": {"response": "Hilfsleiter-Rechnungsf\u00fchrer", "ground_truth": "Hilfsleiter-Rechnungsf\u00fchrer", "score": 1.0}, "rows[1].dienstliche_stellung.interpretation": {"response": "Hilfsleiter-Rechnungsf\u00fchrer", "ground_truth": "Hilfsleiter-Rechnungsf\u00fchrer", "score": 1.0}, "rows[0].dienstort.diplomatic_transcript": {"response": null, "ground_truth": null, "score": 1.0}, "rows[1].datum_gehalts\u00e4nderung.diplomatic_transcript": {"response": "1. Jan. 1944", "ground_truth": "1. Jan. 1944", "score": 1.0}, "rows[1].jahresgehalt_monatsgehalt_taglohn.is_crossed_out": {"response": false, "ground_truth": false, "score": 1.0}, "rows[1].dienstort.is_crossed_out": {"response": false, "ground_truth": false, "score": 1.0}, "rows[0].dienstliche_stellung.is_crossed_out": {"response": false, "ground_truth": false, "score": 1.0}, "rows[0].gehaltsklasse.is_crossed_out": {"response": false, "ground_truth": false, "score": 1.0}, "rows[0].jahresgehalt_monatsgehalt_taglohn.is_crossed_out": {"response": false, "ground_truth": false, "score": 1.0}, "rows[0].dienstort.is_crossed_out": {"response": false, "ground_truth": false, "score": 1.0}, "rows[1].gehaltsklasse.diplomatic_transcript": {"response": null, "ground_truth": null, "score": 1.0}, "rows[0].dienstliche_stellung.interpretation": {"response": null, "ground_truth": null, "score": 1.0}, "rows[1].bemerkungen.diplomatic_transcript": {"response": null, "ground_truth": null, "score": 1.0}, "rows[1].dienstliche_stellung.is_crossed_out": {"response": false, "ground_truth": false, "score": 1.0}, "rows[1].dienstliche_stellung.diplomatic_transcript": {"response": "\"", "ground_truth": "\"", "score": 1.0}, "rows[0].datum_gehalts\u00e4nderung.interpretation": {"response": "1943-08-09", "ground_truth": "1943-08-09", "score": 1.0}, "rows[1].gehaltsklasse.is_crossed_out": {"response": false, "ground_truth": false, "score": 1.0}, "rows[0].gehaltsklasse.diplomatic_transcript": {"response": null, "ground_truth": null, "score": 1.0}, "rows[0].datum_gehalts\u00e4nderung.is_crossed_out": {"response": false, "ground_truth": false, "score": 1.0}, "rows[1].gehaltsklasse.interpretation": {"response": null, "ground_truth": null, "score": 1.0}, "rows[1].jahresgehalt_monatsgehalt_taglohn.diplomatic_transcript": {"response": "3'560.-", "ground_truth": "3'560.-", "score": 1.0}, "rows[1].datum_gehalts\u00e4nderung.interpretation": {"response": "1944-01-01", "ground_truth": "1944-01-01", "score": 1.0}, "rows[1].datum_gehalts\u00e4nderung.is_crossed_out": {"response": false, "ground_truth": false, "score": 1.0}, "rows[1].bemerkungen.interpretation": {"response": null, "ground_truth": null, "score": 1.0}, "rows[0].bemerkungen.diplomatic_transcript": {"response": null, "ground_truth": null, "score": 1.0}, "rows[1].bemerkungen.is_crossed_out": {"response": false, "ground_truth": false, "score": 1.0}, "rows[0].gehaltsklasse.interpretation": {"response": null, "ground_truth": null, "score": 1.0}, "rows[1].dienstort.diplomatic_transcript": {"response": null, "ground_truth": null, "score": 1.0}, "rows[0].jahresgehalt_monatsgehalt_taglohn.diplomatic_transcript": {"response": "3'500.-", "ground_truth": "3'500.-", "score": 1.0}, "rows[0].bemerkungen.is_crossed_out": {"response": false, "ground_truth": false, "score": 1.0}, "rows[0].jahresgehalt_monatsgehalt_taglohn.interpretation": {"response": "3500", "ground_truth": "3500", "score": 1.0}}, "total_fields": 38}, "raw_response": "{\"id\":\"chatcmpl-8c9539bdf68c0490\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n  \\\"rows\\\": [\\n    {\\n      \\\"gehaltsklasse\\\": {\\n        \\\"is_crossed_out\\\": false,\\n        \\\"interpretation\\\": null,\\n        \\\"diplomatic_transcript\\\": \\\"\\\"\\n      },\\n      \\\"row_number\\\": 1,\\n      \\\"jahresgehalt_monatsgehalt_taglohn\\\": {\\n        \\\"is_crossed_out\\\": false,\\n        \\\"interpretation\\\": \\\"3500\\\",\\n        \\\"diplomatic_transcript\\\": \\\"3'500.-\\\"\\n      },\\n      \\\"bemerkungen\\\": {\\n        \\\"is_crossed_out\\\": false,\\n        \\\"interpretation\\\": null,\\n        \\\"diplomatic_transcript\\\": \\\"\\\"\\n      },\\n      \\\"dienstliche_stellung\\\": {\\n        \\\"is_crossed_out\\\": false,\\n        \\\"interpretation\\\": null,\\n        \\\"diplomatic_transcript\\\": \\\"Hilfsleiter-Rechnungsf\u00fchrer\\\"\\n      },\\n      \\\"datum_gehalts\u00e4nderung\\\": {\\n        \\\"is_crossed_out\\\": false,\\n        \\\"interpretation\\\": \\\"1943-08-09\\\",\\n        \\\"diplomatic_transcript\\\": \\\"9. Aug. 1943\\\"\\n      },\\n      \\\"dienstort\\\": {\\n        \\\"is_crossed_out\\\": false,\\n        \\\"interpretation\\\": null,\\n        \\\"diplomatic_transcript\\\": \\\"\\\"\\n      }\\n    },\\n    {\\n      \\\"gehaltsklasse\\\": {\\n        \\\"is_crossed_out\\\": false,\\n        \\\"interpretation\\\": null,\\n        \\\"diplomatic_transcript\\\": \\\"\\\"\\n      },\\n      \\\"row_number\\\": 2,\\n      \\\"jahresgehalt_monatsgehalt_taglohn\\\": {\\n        \\\"is_crossed_out\\\": false,\\n        \\\"interpretation\\\": \\\"3560\\\",\\n        \\\"diplomatic_transcript\\\": \\\"3'560.-\\\"\\n      },\\n      \\\"bemerkungen\\\": {\\n        \\\"is_crossed_out\\\": false,\\n        \\\"interpretation\\\": null,\\n        \\\"diplomatic_transcript\\\": \\\"\\\"\\n      },\\n      \\\"dienstliche_stellung\\\": {\\n        \\\"is_crossed_out\\\": false,\\n        \\\"interpretation\\\": \\\"Hilfsleiter-Rechnungsf\u00fchrer\\\",\\n        \\\"diplomatic_transcript\\\": \\\"\\\\\\\"\\\"\\n      },\\n      \\\"datum_gehalts\u00e4nderung\\\": {\\n        \\\"is_crossed_out\\\": false,\\n        \\\"interpretation\\\": \\\"1944-01-01\\\",\\n        \\\"diplomatic_transcript\\\": \\\"1. Jan. 1944\\\"\\n      },\\n      \\\"dienstort\\\": {\\n        \\\"is_crossed_out\\\": false,\\n        \\\"interpretation\\\": null,\\n        \\\"diplomatic_transcript\\\": \\\"\\\"\\n      }\\n    }\\n  ]\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"rows\":[{\"row_number\":1,\"dienstliche_stellung\":{\"diplomatic_transcript\":\"Hilfsleiter-Rechnungsf\u00fchrer\",\"interpretation\":null,\"is_crossed_out\":false},\"dienstort\":{\"diplomatic_transcript\":\"\",\"interpretation\":null,\"is_crossed_out\":false},\"gehaltsklasse\":{\"diplomatic_transcript\":\"\",\"interpretation\":null,\"is_crossed_out\":false},\"jahresgehalt_monatsgehalt_taglohn\":{\"diplomatic_transcript\":\"3'500.-\",\"interpretation\":\"3500\",\"is_crossed_out\":false},\"datum_gehalts\u00e4nderung\":{\"diplomatic_transcript\":\"9. Aug. 1943\",\"interpretation\":\"1943-08-09\",\"is_crossed_out\":false},\"bemerkungen\":{\"diplomatic_transcript\":\"\",\"interpretation\":null,\"is_crossed_out\":false}},{\"row_number\":2,\"dienstliche_stellung\":{\"diplomatic_transcript\":\"\\\"\",\"interpretation\":\"Hilfsleiter-Rechnungsf\u00fchrer\",\"is_crossed_out\":false},\"dienstort\":{\"diplomatic_transcript\":\"\",\"interpretation\":null,\"is_crossed_out\":false},\"gehaltsklasse\":{\"diplomatic_transcript\":\"\",\"interpretation\":null,\"is_crossed_out\":false},\"jahresgehalt_monatsgehalt_taglohn\":{\"diplomatic_transcript\":\"3'560.-\",\"interpretation\":\"3560\",\"is_crossed_out\":false},\"datum_gehalts\u00e4nderung\":{\"diplomatic_transcript\":\"1. Jan. 1944\",\"interpretation\":\"1944-01-01\",\"is_crossed_out\":false},\"bemerkungen\":{\"diplomatic_transcript\":\"\",\"interpretation\":null,\"is_crossed_out\":false}}]},\"reasoning\":\"The user wants me to extract data from a personnel card image and format it as a specific JSON structure.\\n\\n**1. Analyze the Image:**\\n*   **Header Row:**\\n    *   `Dienstliche Stellung` (Official Position)\\n    *   `Dienstort` (Place of Service)\\n    *   `Gehaltsklasse` (Salary Class)\\n    *   `Jahresgehalt / Monatsgehalt / Taglohn` (Annual/Monthly/Daily Salary)\\n    *   `Zeitpunkt der Gehalts\u00e4nderung` (Date of Salary Change) -> subdivided into `Tag` (Day), `Monat` (Month), `Jahr` (Year)\\n    *   `Bemerkungen, Akten etc.` (Remarks, Files etc.)\\n\\n*   **Row 1:**\\n    *   `Dienstliche Stellung`: \\\"Hilfsleiter-Rechnungsf\u00fchrer\\\" (Typewritten, looks slightly faded but legible).\\n    *   `Dienstort`: Empty.\\n    *   `Gehaltsklasse`: Empty.\\n    *   `Jahresgehalt...`: \\\"3'500.-\\\" (Typewritten).\\n    *   `Zeitpunkt...`: \\\"9.\\\" (Tag), \\\"Aug.\\\" (Monat), \\\"1943\\\" (Jahr).\\n    *   `Bemerkungen`: Empty.\\n\\n*   **Row 2:**\\n    *   `Dienstliche Stellung`: `\\\"` (Ditto mark, indicating same as above).\\n    *   `Dienstort`: Empty.\\n    *   `Gehaltsklasse`: Empty.\\n    *   `Jahresgehalt...`: \\\"3'560.-\\\" (Typewritten).\\n    *   `Zeitpunkt...`: \\\"1.\\\" (Tag), \\\"Jan.\\\" (Monat), \\\"1944\\\" (Jahr).\\n    *   `Bemerkungen`: Empty.\\n\\n**2. Map to JSON Structure:**\\n\\n*   **Row 1:**\\n    *   `dienstliche_stellung`: \\\"Hilfsleiter-Rechnungsf\u00fchrer\\\"\\n    *   `dienstort`: \\\"\\\"\\n    *   `gehaltsklasse`: \\\"\\\"\\n    *   `jahresgehalt_monatsgehalt_taglohn`: \\\"3'500.-\\\" -> interpretation: \\\"3500\\\"\\n    *   `datum_gehalts\u00e4nderung`: \\\"9. Aug. 1943\\\" -> interpretation: \\\"1943-08-09\\\"\\n    *   `bemerkungen`: \\\"\\\"\\n\\n*   **Row 2:**\\n    *   `dienstliche_stellung`: `\\\"` -> interpretation: \\\"Hilfsleiter-Rechnungsf\u00fchrer\\\"\\n    *   `dienstort`: \\\"\\\"\\n    *   `gehaltsklasse`: \\\"\\\"\\n    *   `jahresgehalt_monatsgehalt_taglohn`: \\\"3'560.-\\\" -> interpretation: \\\"3560\\\"\\n    *   `datum_gehalts\u00e4nderung`: \\\"1. Jan. 1944\\\" -> interpretation: \\\"1944-01-01\\\"\\n    *   `bemerkungen`: \\\"\\\"\\n\\n**3. Refine Transcripts and Interpretations:**\\n\\n*   **Row 1, Col 1:** \\\"Hilfsleiter-Rechnungsf\u00fchrer\\\". No crossing out.\\n*   **Row 1, Col 4:** \\\"3'500.-\\\". Interpretation: \\\"3500\\\".\\n*   **Row 1, Col 5:** The columns are split into Tag, Monat, Jahr. I need to combine them for the `datum_gehalts\u00e4nderung` field.\\n    *   Transcript: \\\"9. Aug. 1943\\\" (Combining the cells). Wait, the prompt asks for `datum_gehalts\u00e4nderung` as a single field in the JSON structure, but the image has three sub-columns. I will combine the text from Tag, Monat, and Jahr into the transcript string.\\n    *   Transcript: \\\"9. Aug. 1943\\\"\\n    *   Interpretation: \\\"1943-08-09\\\"\\n*   **Row 2, Col 1:** `\\\"` (Ditto mark). Interpretation: \\\"Hilfsleiter-Rechnungsf\u00fchrer\\\".\\n*   **Row 2, Col 4:** \\\"3'560.-\\\". Interpretation: \\\"3560\\\".\\n*   **Row 2, Col 5:** \\\"1. Jan. 1944\\\". Interpretation: \\\"1944-01-01\\\".\\n\\n**4. Final JSON Construction:**\\nI need to be careful with the `datum_gehalts\u00e4nderung` field. The prompt defines it as a single field in the JSON, but the table has sub-columns. I will concatenate the values found in the sub-columns for the transcript.\\n\\nLet's double check the transcription.\\nRow 1: \\\"Hilfsleiter-Rechnungsf\u00fchrer\\\"\\nRow 1 Salary: \\\"3'500.-\\\"\\nRow 1 Date: \\\"9.\\\" \\\"Aug.\\\" \\\"1943\\\" -> \\\"9. Aug. 1943\\\"\\n\\nRow 2: `\\\"`\\nRow 2 Salary: \\\"3'560.-\\\"\\nRow 2 Date: \\\"1.\\\" \\\"Jan.\\\" \\\"1944\\\" -> \\\"1. Jan. 1944\\\"\\n\\nThe prompt asks for `diplomatic_transcript` to be exact text.\\nFor the date column, since it's split into Tag, Monat, Jahr, I will combine them with spaces for the transcript to make it a coherent date string, or just list the content. Given the JSON structure expects a single string for `datum_gehalts\u00e4nderung`, combining them is the logical approach. \\\"9. Aug. 1943\\\".\\n\\nLet's verify the \\\"is_crossed_out\\\" status.\\n\\\"Hilfsleiter-Rechnungsf\u00fchrer\\\" is not crossed out.\\nThe ditto mark is not crossed out.\\nThe numbers are not crossed out.\\n\\nWait, looking closely at Row 1, \\\"Hilfsleiter-Rechnungsf\u00fchrer\\\". Is there a strikethrough? No, it looks like normal typewriter text.\\nWait, looking at Row 2, the ditto mark `\\\"` is under \\\"Hilfsleiter...\\\".\\nActually, looking very closely at the first row text \\\"Hilfsleiter-Rechnungsf\u00fchrer\\\", it looks slightly faint, but not crossed out.\\nWait, let me look at the salary \\\"3'500.-\\\". It looks like \\\"3'500.-\\\".\\nLet me look at the salary \\\"3'560.-\\\". It looks like \\\"3'560.-\\\".\\n\\nLet's re-examine the first column text. \\\"Hilfsleiter-Rechnungsf\u00fchrer\\\".\\nIs it possible that \\\"Hilfsleiter\\\" is crossed out? No, it looks like standard typewriter font.\\nIs it possible the whole line is crossed out? No.\\n\\nLet's check the date columns again.\\nRow 1: Tag=\\\"9.\\\", Monat=\\\"Aug.\\\", Jahr=\\\"1943\\\"\\nRow 2: Tag=\\\"1.\\\", Monat=\\\"Jan.\\\", Jahr=\\\"1944\\\"\\n\\nOkay, ready to generate JSON.\\n\\nOne detail: `interpretation` for ditto marks.\\n\\\"Replace with the actual repeated value from the previous row in the same column\\\".\\nSo for Row 2, Col 1, interpretation is \\\"Hilfsleiter-Rechnungsf\u00fchrer\\\".\\n\\nOne detail: `interpretation` for salary.\\n\\\"3'500.-\\\" -> \\\"3500\\\"\\n\\\"3'560.-\\\" -> \\\"3560\\\"\\n\\nOne detail: `interpretation` for date.\\n\\\"9. Aug. 1943\\\" -> \\\"1943-08-09\\\"\\n\\\"1. Jan. 1944\\\" -> \\\"1944-01-01\\\"\\n\\nOne detail: Empty cells.\\n`dienstort` and `gehaltsklasse` and `bemerkungen` are empty.\\n`diplomatic_transcript`: \\\"\\\"\\n`interpretation`: null\\n`is_crossed_out`: false\\n\\nLet's assemble.\\n\"},\"stop_reason\":null,\"token_ids\":null}],\"created\":1782144233,\"model\":\"qwen35-397b-a17b-fp8\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":2421,\"prompt_tokens\":4294,\"total_tokens\":6715,\"completion_tokens_details\":null,\"prompt_tokens_details\":null},\"prompt_logprobs\":null,\"prompt_token_ids\":null,\"kv_transfer_params\":null}"}, "scoring": {"f1_micro": 0.9817460317460317, "f1_macro": 0.9206557377049179, "micro_precision": 0.9809674861221253, "micro_recall": 0.982525814138205, "total_instances": 61, "total_tp": 2474, "total_fp": 48, "total_fn": 44, "cost_summary": {"total_input_tokens": 253614, "total_output_tokens": 243986, "total_tokens": 497600, "input_cost_usd": 0.0, "output_cost_usd": 0.0, "total_cost_usd": 0.0}}, "normalized_score": 98.17460317460316}