Dataset Viewer
contract_info
dict | dimension_info
dict | sub_dimension_info
dict |
|---|---|---|
{
"description": "\nGenerate a detailed patent examination report for a patent application.\nThe focus is on the quality of the patent examination report, not on the patent application itself.\n",
"name": "default"
}
|
{
"action_dimension": null,
"description": "How can we ensure the patent examination report is clear and well-organized?",
"label": "Report Clarity and Structure",
"parameters": null,
"weight": 1
}
|
{
"action_dimension": null,
"custom_model_id": null,
"description": "Is the language used in the patent examination report clear and easy to understand?",
"huggingface_url": null,
"label": "Report Clarity",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Is the patent examination report organized into clearly defined sections?",
"huggingface_url": null,
"label": "Structure Organization",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report contain an executive summary summarizing the key findings?",
"huggingface_url": null,
"label": "Executive Summary Presence",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Is the formatting of the patent examination report consistent throughout?",
"huggingface_url": null,
"label": "Formatting Consistency",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Is the language used in the report precise and free of ambiguity?",
"huggingface_url": null,
"label": "Language Precision",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Is the conclusion of the patent examination report clearly stated?",
"huggingface_url": null,
"label": "Conclusion Clarity",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null |
{
"action_dimension": null,
"description": "What technical aspects should be evaluated in the patent examination report?",
"label": "Technical Content Evaluation",
"parameters": null,
"weight": 1
}
|
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report include sufficient technical details to support the examination findings?",
"huggingface_url": null,
"label": "Technical Detail Sufficiency",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report include a thorough analysis of the patent claims?",
"huggingface_url": null,
"label": "Claims Analysis",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report provide an assessment of the novelty of the invention?",
"huggingface_url": null,
"label": "Novelty Assessment",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report evaluate whether the invention is non-obvious based on prior art?",
"huggingface_url": null,
"label": "Non-obviousness Evaluation",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report identify any potential issues with the patent application?",
"huggingface_url": null,
"label": "Potential Issues Identification",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report demonstrate thoroughness in its examination of the patent application?",
"huggingface_url": null,
"label": "Thoroughness of Analysis",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null |
{
"action_dimension": null,
"description": "How can we ensure the patent examination report addresses legal compliance and provides actionable recommendations?",
"label": "Legal Compliance and Recommendations",
"parameters": null,
"weight": 1
}
|
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report verify that the patent application complies with applicable patent laws and regulations?",
"huggingface_url": null,
"label": "Legal Compliance Check",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report include recommendations for the applicant to improve the patent application?",
"huggingface_url": null,
"label": "Recommendations Section",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null |
{
"action_dimension": null,
"description": "How should citations and references be handled in the patent examination report?",
"label": "Citations and References",
"parameters": null,
"weight": 1
}
|
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report cite relevant prior art references appropriately?",
"huggingface_url": null,
"label": "Citations of Prior Art",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report include a section listing all references and citations used?",
"huggingface_url": null,
"label": "References Section",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null |
{
"action_dimension": null,
"description": "What visual aids and additional content can enhance the understanding of the patent examination report?",
"label": "Visual and Additional Aids",
"parameters": null,
"weight": 1
}
|
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report use visual aids (e.g., diagrams, tables) to enhance understanding?",
"huggingface_url": null,
"label": "Visual Aids Usage",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report include a section that addresses the applicant’s responses to previous inquiries?",
"huggingface_url": null,
"label": "Response to Applicant",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null |
{
"action_dimension": null,
"description": "How can we ensure the patent examination report is generated in a timely manner?",
"label": "Timeliness and Efficiency",
"parameters": null,
"weight": 1
}
|
{
"action_dimension": null,
"custom_model_id": null,
"description": "Was the patent examination report generated within the expected timeframe?",
"huggingface_url": null,
"label": "Timeliness of Report",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
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