Model: lw2134/policy_gte_large
Author: lw2134
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, onnx, safetensors, new, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:500, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss, custom_code, arxiv:1908.10084, arxiv:2205.13147, arxiv:1705.00652, base_model:Alibaba-NLP/gte-large-en-v1.5, base_model:quantized:Alibaba-NLP/gte-large-en-v1.5, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (quantized): id: Alibaba-NLP/gte-large-en-v1.5
Card metadata: base_model: Alibaba-NLP/gte-large-en-v1.5
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100, dot_accuracy@1, dot_accuracy@3, dot_accuracy@5, dot_accuracy@10, dot_precision@1, dot_precision@3, dot_precision@5, dot_precision@10, dot_recall@1, dot_recall@3, dot_recall@5, dot_recall@10, dot_ndcg@10, dot_mrr@10, dot_map@100
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:500, loss:MatryoshkaLoss, loss:MultipleNegativesRankingLoss
widget: source_sentence: 1. What measures should be taken to avoid "mission creep" when identifying goals for data collection?  
2. Why is it important to assess new privacy risks before using collected data in a different context?
sentences: narrow identified goals, to avoid "mission creep."  Anticipated data collection should be determined to be 
strictly necessary to the identified goals and should be minimized as much as possible. Data collected based on 
these identified goals and for a specific context should not be used in a different context without assessing for 
new privacy risks and implementing appropriate mitigation measures, which may include express consent., Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government (December 2020). 
This white paper recognizes that national security (which includes certain law enforcement and 
homeland security activities) and defense activities are of increased sensitivity and interest to our nation’s 
adversaries and are often subject to special requirements, such as those governing classified information and 
other protected data. Such activities require alternative, compatible safeguards through existing policies that, establish and maintain the capabilities that will allow individuals to use their own automated systems to help 
them make consent, access, and control decisions in a complex data ecosystem. Capabilities include machine 
readable data, standardized data formats, metadata or tags for expressing data processing permissions and 
preferences and data provenance and lineage, context of use and access-specific tags, and training models for 
assessing privacy risk., source_sentence: 1. What types of discrimination are mentioned in the context that can impact individuals based on their race and ethnicity?  
2. How does the context address discrimination related to gender identity and sexual orientation?
sentences: HUMAN ALTERNATIVES, CONSIDERATION
ALLBACK
F
AND
, 
46, SAFE AND EFFECTIVE 
SYSTEMS 
WHAT SHOULD BE EXPECTED OF AUTOMATED SYSTEMS
The expectations for automated systems are meant to serve as a blueprint for the development of additional 
technical standards and practices that are tailored for particular sectors and contexts. 
Derived data sources tracked and reviewed carefully. Data that is derived from other data through, impacts disfavoring people based on their race, color, ethnicity, 
sex 
(including 
pregnancy, 
childbirth, 
and 
related 
medical 
conditions, 
gender 
identity, 
intersex 
status, 
and 
sexual 
orientation), religion, age, national origin, disability, veteran status,, source_sentence: 1. What roles do the panelists hold in their respective organizations?  
2. How are AI systems and other technologies being discussed in relation to their impact by the individual panelists?
sentences: requirements of the Federal agencies that enforce them. These principles are not intended to, and do not, 
prohibit or limit any lawful activity of a government agency, including law enforcement, national security, or 
intelligence activities. 
The appropriate application of the principles set forth in this white paper depends significantly on the 
context in which automated systems are being utilized. In some circumstances, application of these principles, •
Karen Levy, Assistant Professor, Department of Information Science, Cornell University
•
Natasha Duarte, Project Director, Upturn
•
Elana Zeide, Assistant Professor, University of Nebraska College of Law
•
Fabian Rogers, Constituent Advocate, Office of NY State Senator Jabari Brisport and Community
Advocate and Floor Captain, Atlantic Plaza Towers Tenants Association
The individual panelists described the ways in which AI systems and other technologies are increasingly being, SECTION TITLE­
FOREWORD
Among the great challenges posed to democracy today is the use of technology, data, and automated systems in 
ways that threaten the rights of the American public. Too often, these tools are used to limit our opportunities and 
prevent our access to critical resources or services. These problems are well documented. In America and around 
the world, systems supposed to help with patient care have proven unsafe, ineffective, or biased. Algorithms used, source_sentence: 1. What are the key tenets of the Department of Defense's Artificial Intelligence Ethical Principles?  
2. How do the Principles of Artificial Intelligence Ethics for the Intelligence Community guide personnel in their use of AI?
sentences: different treatment or impacts disfavoring people based on their race, color, ethnicity, sex (including 
pregnancy, childbirth, and related medical conditions, gender identity, intersex status, and sexual 
orientation), religion, age, national origin, disability, veteran status, genetic information, or any other 
classification protected by law. Depending on the specific circumstances, such algorithmic discrimination, ethical use and development of AI systems.20 The Department of Defense has adopted Artificial Intelligence 
Ethical Principles, and tenets for Responsible Artificial Intelligence specifically tailored to its national 
security and defense activities.21 Similarly, the U.S. Intelligence Community (IC) has developed the Principles 
of Artificial Intelligence Ethics for the Intelligence Community to guide personnel on whether and how to, DATA PRIVACY 
WHAT SHOULD BE EXPECTED OF AUTOMATED SYSTEMS
The expectations for automated systems are meant to serve as a blueprint for the development of additional 
technical standards and practices that are tailored for particular sectors and contexts. 
Protect the public from unchecked surveillance 
Heightened oversight of surveillance. Surveillance or monitoring systems should be subject to, source_sentence: 1. What measures should be taken to ensure the accuracy and timeliness of data?  
2. Why is it important to limit access to sensitive data and derived data?
sentences: maintain accurate, timely, and complete data. 
Limit access to sensitive data and derived data. Sensitive data and derived data should not be sold, 
shared, or made public as part of data brokerage or other agreements. Sensitive data includes data that can be 
used to infer sensitive information; even systems that are not directly marketed as sensitive domain technologies 
are expected to keep sensitive data private. Access to such data should be limited based on necessity and based, comply with the Privacy Act’s requirements. Among other things, a court may order a federal agency to amend or 
correct an individual’s information in its records or award monetary damages if an inaccurate, irrelevant, untimely, 
or incomplete record results in an adverse determination about an individual’s “qualifications, character, rights, … 
opportunities…, or benefits.” 
NIST’s Privacy Framework provides a comprehensive, detailed and actionable approach for, made public whenever possible. Care will need to be taken to balance individual privacy with evaluation data 
access needs. 
Reporting. When members of the public wish to know what data about them is being used in a system, the 
entity responsible for the development of the system should respond quickly with a report on the data it has 
collected or stored about them. Such a report should be machine-readable, understandable by most users, and
model-index: name: SentenceTransformer based on Alibaba-NLP/gte-large-en-v1.5
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: Unknown
type: unknown
metrics: type: cosine_accuracy@1
value: 0.9733333333333334
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 1
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 1
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 1
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.9733333333333334
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.33333333333333326
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.19999999999999996
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09999999999999998
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.9733333333333334
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 1
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 1
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 1
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.9901581267619055
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.9866666666666667
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.9866666666666667
name: Cosine Map@100
verified: no, type: dot_accuracy@1
value: 0.9733333333333334
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 1
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 1
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 1
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.9733333333333334
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.33333333333333326
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.19999999999999996
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09999999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.9733333333333334
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 1
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 1
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 1
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.9901581267619055
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.9866666666666667
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.9866666666666667
name: Dot Map@100
verified: no
Likes: 0 | All-time downloads: 124
Created: 2024-10-02 18:59:51