task_lite_clean_en/127/metadata.json

{
  "absolute_id": 127,
  "persona": "Researcher",
  "task": "There are 10 Python files in the `python` directory of the test project folder. Please summarize them and generate a `requirement.txt` file.",
  "task_diff": "medium",
  "output_files": [
    "requirement.txt"
  ],
  "rubrics": [
    "Is the requirement.txt file generated successfully and not empty?",
    "Does requirement.txt contain a beautifulsoup4 dependency?",
    "Does requirement.txt contain a click dependency?",
    "Does requirement.txt contain a flask dependency?",
    "Does requirement.txt contain loguru dependencies?",
    "Does requirement.txt contain a matplotlib dependency?",
    "Does requirement.txt contain numpy dependencies?",
    "Does requirement.txt contain pandas dependencies?",
    "Does requirement.txt contain a Pillow dependency?",
    "Does requirement.txt contain a requests dependency?",
    "Does requirement.txt contain a scikit-learn dependency?",
    "Does requirement.txt contain sqlalchemy dependencies?",
    "Does requirement.txt contain torch dependencies?",
    "Does requirement.txt contain tqdm dependencies?",
    "Is there a total of 13 third-party dependency packages in requirement.txt?",
    "Does each dependency in requirement.txt occupy a separate line and conform to the standard format?",
    "Are all the 3rd party dependencies in the 8 python files extracted?",
    "Is the import named PIL for the Pillow package correctly identified?",
    "Is the import name for the beautifulsoup4 package correctly identified as bs4?",
    "Don't have a Python standard library (like time) as a dependency?",
    "Are there no duplicate dependencies in the output file?"
  ],
  "rubric_types": [
    "Basic Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Outcome Evaluation",
    "Process Evaluation",
    "Process Evaluation",
    "Process Evaluation",
    "Process Evaluation",
    "Basic Evaluation",
    "Outcome Evaluation"
  ],
  "file_dep_graph": [
    {
      "from": "data_process.py",
      "to": "requirement.txt"
    },
    {
      "from": "database.py",
      "to": "requirement.txt"
    },
    {
      "from": "image.py",
      "to": "requirement.txt"
    },
    {
      "from": "machine_learning.py",
      "to": "requirement.txt"
    },
    {
      "from": "parsing.py",
      "to": "requirement.txt"
    },
    {
      "from": "utils.py",
      "to": "requirement.txt"
    },
    {
      "from": "visualization.py",
      "to": "requirement.txt"
    },
    {
      "from": "web_network.py",
      "to": "requirement.txt"
    }
  ],
  "data_manifest": [
    {
      "filename": "data_process.py",
      "stored_relpath": "data/e2255788b05171cc_data_process.py"
    },
    {
      "filename": "database.py",
      "stored_relpath": "data/f959101505b37898_database.py"
    },
    {
      "filename": "image.py",
      "stored_relpath": "data/6ac9cb19a3098459_image.py"
    },
    {
      "filename": "machine_learning.py",
      "stored_relpath": "data/8b25b51cd1e60a50_machine_learning.py"
    },
    {
      "filename": "parsing.py",
      "stored_relpath": "data/f16f8055bf0dff2a_parsing.py"
    },
    {
      "filename": "utils.py",
      "stored_relpath": "data/04615d9bb193d12a_utils.py"
    },
    {
      "filename": "visualization.py",
      "stored_relpath": "data/d69a6cacd82e9248_visualization.py"
    },
    {
      "filename": "web_network.py",
      "stored_relpath": "data/e7f3387113605ae4_web_network.py"
    }
  ],
  "tested_capabilities": [
    "Workspace Exploration",
    "Semantic Content Relations Understanding"
  ]
}