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 that the patent examination report is clear and well-structured?",
"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 well-structured with appropriate headings and sections?",
"huggingface_url": null,
"label": "Structure",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report avoid unnecessary technical jargon when possible?",
"huggingface_url": null,
"label": "Non-Technical Language",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Is the tone of the report objective and impartial?",
"huggingface_url": null,
"label": "Objective Tone",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Is the terminology used in the report consistent throughout?",
"huggingface_url": null,
"label": "Language Consistency",
"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 Evaluation",
"parameters": null,
"weight": 1
}
|
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report accurately reflect the technical aspects of the patent application?",
"huggingface_url": null,
"label": "Technical Accuracy",
"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 a thorough analysis of each claim in the patent application?",
"huggingface_url": null,
"label": "Claim 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 include a comprehensive assessment of relevant prior art?",
"huggingface_url": null,
"label": "Prior Art 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 demonstrate a deep evaluation of the patent claims?",
"huggingface_url": null,
"label": "Evaluation Depth",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null |
{
"action_dimension": null,
"description": "How does the report ensure compliance with legal standards?",
"label": "Legal Compliance",
"parameters": null,
"weight": 1
}
|
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report evaluate the patent application against the relevant legal standards for patentability?",
"huggingface_url": null,
"label": "Legal Standards",
"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 citations to relevant laws, regulations, or case law?",
"huggingface_url": null,
"label": "Citations",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Are all references cited in the report relevant to the patent application?",
"huggingface_url": null,
"label": "Relevance of References",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report disclose any potential conflicts of interest?",
"huggingface_url": null,
"label": "Conflict of Interest",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null |
{
"action_dimension": null,
"description": "What should be included in the summary and recommendations of the report?",
"label": "Summary and Recommendations",
"parameters": null,
"weight": 1
}
|
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report include a clear summary of the findings and conclusions?",
"huggingface_url": null,
"label": "Summary of Findings",
"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 a clear recommendation regarding the patent application's approval or rejection?",
"huggingface_url": null,
"label": "Recommendation",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report address any responses or amendments made by the applicant?",
"huggingface_url": null,
"label": "Response to Applicant",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Does the report adequately address any comments or feedback from previous examinations?",
"huggingface_url": null,
"label": "Response to Comments",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null |
{
"action_dimension": null,
"description": "How should the report be formatted and presented?",
"label": "Formatting and Presentation",
"parameters": null,
"weight": 1
}
|
{
"action_dimension": null,
"custom_model_id": null,
"description": "Is the report formatted according to the required guidelines for patent examination reports?",
"huggingface_url": null,
"label": "Formatting",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "If diagrams are included, are they clear and properly labeled?",
"huggingface_url": null,
"label": "Clarity of Diagrams",
"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 appropriate level of detail for each section?",
"huggingface_url": null,
"label": "Detail Level",
"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 any relevant appendices for additional information?",
"huggingface_url": null,
"label": "Appendices",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null |
{
"action_dimension": null,
"description": "How can we ensure the report is timely and consistent?",
"label": "Timeliness and Consistency",
"parameters": null,
"weight": 1
}
|
{
"action_dimension": null,
"custom_model_id": null,
"description": "Was the patent examination report completed within the expected time frame?",
"huggingface_url": null,
"label": "Timeliness",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Is the reasoning in the report consistent throughout?",
"huggingface_url": null,
"label": "Consistency",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
null | null |
{
"action_dimension": null,
"custom_model_id": null,
"description": "Are all data points and figures in the report accurate and correctly referenced?",
"huggingface_url": null,
"label": "Data Accuracy",
"parameters": null,
"python_code": null,
"scoring_type": "PI_SCORER",
"weight": 1
}
|
README.md exists but content is empty.
- Downloads last month
- 6