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Track .xls and .ppt files with Git LFS
dc45511
{
"absolute_id": 267,
"persona": "Logistics Manager",
"task": "Extract relevant information such as the total number of employees, the composition of educational qualifications, the number of R&D personnel, and the number of patents held from the designated annual report data of Shengye Electric, regulate the above human resources and R&D related data into clear statistical tables, and form the corresponding statistical report file.",
"task_diff": "easy",
"output_files": [
"shengye_electric_2024_upstream_downstream_customer_supplier_analysis.docx"
],
"rubrics": [
"Is the output file named \"shengye_electric_2024_upstream_downstream_customer_supplier_analysis.doc\" and the file format is docx with no file name errors?",
"Is the total number of employees in the output form accurately extracted as 907, consistent with the original annual report?",
"Is the number of R&D personnel in the output form accurately extracted as 98, consistent with the original annual report?",
"Is the total number of patents held in the output table accurately extracted as 79, consistent with the original annual report?",
"Is the number of invention patents in the output table accurately extracted as 9, consistent with the original annual report?",
"Is the number of new invention patents added in 2024 accurately extracted to 3 in the output table, consistent with the original annual report?",
"Is the amount of R&D investment accurately recorded in the output form as 26,478,113.31 yuan, which is consistent with the original annual report?",
"Is the ratio of R&D investment to revenue in the output table accurately recorded as 4.18%, consistent with the original annual report?",
"Does the output file present all extracted data in a table with clear headers (statistical indicators, specific values, units, notes)?",
"Is it clearly stated in the output file that the academic qualification composition information is not disclosed in the annual report, and there is no false fabrication of academic qualification data?",
"Is the calculated ratio of R&D personnel to the total number of employees 10.80% (98 ÷ 907 ≈ 10.80%), and the calculation results are accurate?",
"Does the output file indicate that the data is from the 2024 annual report of Shengye Electric, and the data source is clear?",
"Is the output file layout neat and standardized, the table is neatly aligned, and there are no problems with formatting and reading?",
"Are all the data extracted from the annual report information provided, with no external data introduction or data compilation?",
"Does the output file contain only the human resources and R&D-related statistics required by the task, without too much redundant information?",
"Can the generated docx file be opened normally, without problems such as file corruption, garbled encoding errors, etc., affecting reading?"
],
"rubric_types": [
"Basic Evaluation",
"Outcome Evaluation",
"Outcome Evaluation",
"Outcome Evaluation",
"Outcome Evaluation",
"Outcome Evaluation",
"Outcome Evaluation",
"Outcome Evaluation",
"Outcome Evaluation",
"Outcome Evaluation",
"Process Evaluation",
"Basic Evaluation",
"Outcome Evaluation",
"Process Evaluation",
"Process Evaluation",
"Outcome Evaluation"
],
"file_dep_graph": [
{
"from": "shengye_electric_2024_annual_report.pdf.docx",
"to": "shengye_electric_2024_upstream_downstream_customer_supplier_analysis.docx"
}
],
"data_manifest": [
{
"filename": "shengye_electric_2024_annual_report.pdf.docx",
"stored_relpath": "data/56c122bdc19f1c41_shengye_electric_2024_annual_report.pdf.docx"
}
],
"tested_capabilities": [
"Workspace Exploration"
]
}