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dimension_info
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sub_dimension_info
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{ "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 is the patent examination report structured and organized?", "label": "Report Structure", "parameters": null, "weight": 1 }
{ "action_dimension": null, "custom_model_id": null, "description": "Does the patent examination report have a clear and descriptive title?", "huggingface_url": null, "label": "Clear Title", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Is the report well-structured with clear sections and headings?", "huggingface_url": null, "label": "Structure and Organization", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Is the formatting of the report consistent throughout?", "huggingface_url": null, "label": "Formatting Consistency", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Is the language used in the report appropriately formal for a legal document?", "huggingface_url": null, "label": "Language Formality", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "description": "What is the quality of the content presented in the patent examination report?", "label": "Content Quality", "parameters": null, "weight": 1 }
{ "action_dimension": null, "custom_model_id": null, "description": "Does the report include an executive summary that outlines the key findings?", "huggingface_url": null, "label": "Executive Summary", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Does the report provide a comprehensive analysis of the patent claims?", "huggingface_url": null, "label": "Comprehensive Analysis", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Is the language used in the report clear and understandable?", "huggingface_url": null, "label": "Clarity of Language", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Is the conclusion of the report clearly stated and supported by the analysis?", "huggingface_url": null, "label": "Conclusion Clarity", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "description": "Does the patent examination report comply with legal standards and guidelines?", "label": "Legal and Compliance Aspects", "parameters": null, "weight": 1 }
{ "action_dimension": null, "custom_model_id": null, "description": "Does the report comply with relevant patent laws and guidelines?", "huggingface_url": null, "label": "Legal Compliance", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Are all citations to prior art and legal references accurate and properly formatted?", "huggingface_url": null, "label": "Citations Accuracy", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "description": "How accurate and relevant is the technical analysis in the report?", "label": "Technical Analysis", "parameters": null, "weight": 1 }
{ "action_dimension": null, "custom_model_id": null, "description": "Is the technical analysis in the report accurate and relevant to the field of the patent?", "huggingface_url": null, "label": "Technical Accuracy", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Does the report include a review of relevant prior art?", "huggingface_url": null, "label": "Prior Art Review", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Are technical terms defined or explained within the report?", "huggingface_url": null, "label": "Use of Technical Terms", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "description": "What recommendations and evidence are provided in the patent examination report?", "label": "Recommendations and Evidence", "parameters": null, "weight": 1 }
{ "action_dimension": null, "custom_model_id": null, "description": "Does the report include specific recommendations for the patent application?", "huggingface_url": null, "label": "Recommendations Provided", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Are claims and findings in the report supported by evidence from the patent application or prior art?", "huggingface_url": null, "label": "Evidence Support", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Does the report address each claim made in the patent application?", "huggingface_url": null, "label": "Addressing All Claims", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "description": "What information is provided about the reviewers of the patent examination report?", "label": "Reviewer Information", "parameters": null, "weight": 1 }
{ "action_dimension": null, "custom_model_id": null, "description": "Does the report mention the credentials of the examiner or reviewers involved?", "huggingface_url": null, "label": "Reviewer Credentials", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Does the report include a disclosure of any potential conflicts of interest?", "huggingface_url": null, "label": "Conflict of Interest Disclosure", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "description": "How timely and responsive is the patent examination report?", "label": "Timeliness and Responsiveness", "parameters": null, "weight": 1 }
{ "action_dimension": null, "custom_model_id": null, "description": "Was the report completed within the standard timeframe for patent examinations?", "huggingface_url": null, "label": "Timeliness of Report", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Does the report include a section addressing potential responses from the applicant?", "huggingface_url": null, "label": "Response to Applicant", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "description": "What visual aids and summaries are included in the patent examination report?", "label": "Visual and Summary Elements", "parameters": null, "weight": 1 }
{ "action_dimension": null, "custom_model_id": null, "description": "Does the report utilize visual aids (e.g., charts, tables) to enhance understanding?", "huggingface_url": null, "label": "Visual Aids Use", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Does the report provide a concise summary of the findings at the end?", "huggingface_url": null, "label": "Summary of Findings", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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{ "action_dimension": null, "custom_model_id": null, "description": "Is there a complete and organized reference list included in the report?", "huggingface_url": null, "label": "Reference List", "parameters": null, "python_code": null, "scoring_type": "PI_SCORER", "weight": 1 }
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