| { |
| "absolute_id": 120, |
| "persona": "Researcher", |
| "task": "There are some research-related screenshots on my Desktop that I never renamed, so I do not know what each file contains now. Please summarize and distinguish them, paying attention to category relationships, generate a summary document, and save it to the Desktop as `ScreenShot_summary.md`.", |
| "task_diff": "hard", |
| "output_files": [ |
| "ScreenShot_summary.md" |
| ], |
| "rubrics": [ |
| "Does the output file `ScreenShot_summary.md` contain descriptions of all 7 screenshots?", |
| "Does the summary document correctly divide the 7 screenshots into three groups: AI Agent architecture design, CL-Bench paper, and development environment?", |
| "Are there five levels mentioned in the AI Agent architecture section: input & routing layer, task distribution layer, agent paradigm layer, operation agent layer, and VLM/LLM API layer?", |
| "Does task distribution layer list three types of tasks in the AI Agent architecture: Question Answering, Spreadsheet Manipulation, and Data Visualization?", |
| "Does agent paradigm layer compare the Planning-Then-Execution and Reflection-Then-Action paradigms?", |
| "Does it explain that `ScreenShot_2026-01-10_210325_653.png` is an enlarged view of the Planning-Then-Execution process?", |
| "Does the operation agent layer include the roles of Planning Agent, Execution Agent, and Code Agent in the complete schematic diagram?", |
| "Is the CL-Bench paper section correctly titled CL-Bench: A Benchmark for Context Learning?", |
| "Does the CL-Bench abstract mention that the models solved only 17.2% of tasks on average, with GPT-5.1 achieving the best score of 23.7%?", |
| "Did the CL-Bench stats mention 500 complex contexts, 1,899 tasks, and 31,607 validation criteria?", |
| "Did the CL-Bench classification section mention that context is further divided into 18 subcategories, divided into four broad categories?", |
| "Category 1 Does Domain Knowledge Reasoning include sub-domains such as finance, healthcare, and humanities?", |
| "Does the Category 2 Rule System Application include subcategories such as game mechanics, programming syntax, and legal regulations?", |
| "Indicate the team of authors from Hunyuan Team, Tencent and Fudan University?", |
| "Is the current user in the Development Environment Group Chrome screenshot Zhou Yuehe?", |
| "Which script is running in the VS Code screenshot, and is it correctly identified as `download_arxiv.py`?", |
| "download_arxiv.py Is the download status correctly recorded as 3972 downloads and 221 failures?", |
| "Does it indicate that there is a progressive relationship between the three Agent architecture screenshots, which are different stages of the same design process?", |
| "Are two screenshots of the same paper on different pages?", |
| "Is the total number of screenshots counted as 7, including 3 screenshots on 2026-01-10 and 4 screenshots on 2026-02-07?", |
| "Does the summary document use a markdown format, including the correct format for titles, tables, segments, etc.?", |
| "Do you conclude that all screenshots revolve around large language models/AI Agent research directions as a whole?" |
| ], |
| "rubric_types": [ |
| "Outcome Evaluation", |
| "Outcome Evaluation", |
| "Basic Evaluation", |
| "Basic Evaluation", |
| "Basic Evaluation", |
| "Basic Evaluation", |
| "Basic Evaluation", |
| "Basic Evaluation", |
| "Outcome Evaluation", |
| "Outcome Evaluation", |
| "Outcome Evaluation", |
| "Outcome Evaluation", |
| "Outcome Evaluation", |
| "Basic Evaluation", |
| "Basic Evaluation", |
| "Basic Evaluation", |
| "Outcome Evaluation", |
| "Process Evaluation", |
| "Process Evaluation", |
| "Basic Evaluation", |
| "Basic Evaluation", |
| "Outcome Evaluation" |
| ], |
| "file_dep_graph": [ |
| { |
| "from": "ScreenShot_2026-01-10_200308_169.png", |
| "to": "ScreenShot_2026-01-10_210325_653.png" |
| }, |
| { |
| "from": "ScreenShot_2026-01-10_200308_169.png", |
| "to": "ScreenShot_2026-01-10_212541_898.png" |
| }, |
| { |
| "from": "ScreenShot_2026-01-10_210325_653.png", |
| "to": "ScreenShot_2026-01-10_212541_898.png" |
| }, |
| { |
| "from": "ScreenShot_2026-02-07_132145_115.png", |
| "to": "ScreenShot_2026-02-07_132212_248.png" |
| }, |
| { |
| "from": "ScreenShot_2026-02-07_132218_499.png", |
| "to": "ScreenShot_2026-02-07_132225_683.png" |
| } |
| ], |
| "data_manifest": [ |
| { |
| "filename": "ScreenShot_2026-01-10_200308_169.png", |
| "stored_relpath": "data/af2d844dda028531_ScreenShot_2026-01-10_200308_169.png" |
| }, |
| { |
| "filename": "ScreenShot_2026-01-10_210325_653.png", |
| "stored_relpath": "data/9c69264e99f19e4e_ScreenShot_2026-01-10_210325_653.png" |
| }, |
| { |
| "filename": "ScreenShot_2026-01-10_212541_898.png", |
| "stored_relpath": "data/00a7af007d2d9687_ScreenShot_2026-01-10_212541_898.png" |
| }, |
| { |
| "filename": "ScreenShot_2026-02-07_132145_115.png", |
| "stored_relpath": "data/c4a93bae26bd6478_ScreenShot_2026-02-07_132145_115.png" |
| }, |
| { |
| "filename": "ScreenShot_2026-02-07_132212_248.png", |
| "stored_relpath": "data/a7c99af352125f30_ScreenShot_2026-02-07_132212_248.png" |
| }, |
| { |
| "filename": "ScreenShot_2026-02-07_132218_499.png", |
| "stored_relpath": "data/748bf0f4e01ae135_ScreenShot_2026-02-07_132218_499.png" |
| }, |
| { |
| "filename": "ScreenShot_2026-02-07_132225_683.png", |
| "stored_relpath": "data/8aa7f1d7b4d208b7_ScreenShot_2026-02-07_132225_683.png" |
| } |
| ], |
| "tested_capabilities": [ |
| "Workspace Exploration", |
| "Task-Providing File Utilization", |
| "Semantic Content Relations Understanding" |
| ] |
| } |
|
|
