{"task": {"agent_timeout": 1800, "task": "widesearch-ws-en-089", "verifier_timeout": 600, "instruction": "I want to research Apple Inc.\u2019s product development history by compiling a list of each generation of its flagship smartphone product line (e.g., iPhone, iPhone 3G, iPhone 3GS, \u2026 up to the iPhone 15 series) released in the U.S. market between January 9, 2007 (the original iPhone\u2019s launch date), and December 31, 2024. \nFor each model, please provide:\n\u2022 Product name  \n\u2022 Launch year  \n\u2022 Storage capacity (separate multiple options by /, e.g. 4GB/8GB)  \n\u2022 Official launch price in USD (listed separately for different capacities,e.g., $199/$299 )  \n\u2022 One key new technology or feature introduced with that generation (a widely recognized highlight promoted by Apple, such as \u201cfirst to support the App Store,\u201d \u201cfirst Retina display,\u201d or \u201cintroduction of Face ID\u201d).  \nOnly include the standard flagship models released each September or October (i.e., the main iPhone series and their Plus/Pro variants), excluding non-flagship lines like the SE or C series. If the launch price or key new feature cannot be confirmed, leave that field blank in the table.\n\nPlease output the sorted data in the format of one Markdown table. The column names in the table are: Product, Launch Year, Capacity, Launch Price (USD), Core New Technologies/Features.\nDon't ask me any questions, just output the results according to the columns without omitting cells arbitrarily. The output format is ```markdown\n{data_content}\n```\n\n---\n\n**Important:** Write your final answer as a Markdown table to the file `/workspace/output.md`. The file should contain ONLY the Markdown table (with header row and separator row). Do not include any other text, explanation, or code blocks \u2014 just the raw Markdown table.\n", "memory": "4096m", "runnable": false, "difficulty": "hard", "language": "", "cpus": 1, "instruction_truncated": false, "category": "information-retrieval", "compose": false, "has_solution": true, "oracle": null, "docker_image": "", "taskset": "widesearch", "tags": []}, "runs": []}