Model: federicovolponi/bge-base-space-mt-tsdae
Author: federicovolponi
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, loss:CoSENTLoss, dataset_size:102962, loss:WeightedDenoisingAutoEncoderLoss, loss:WeightedMultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:2104.06979, arxiv:1705.00652, base_model:BAAI/bge-base-en-v1.5, base_model:finetune:BAAI/bge-base-en-v1.5, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: BAAI/bge-base-en-v1.5
Card metadata: base_model: BAAI/bge-base-en-v1.5
library_name: sentence-transformers
metrics: cosine_accuracy@5, cosine_accuracy@10, cosine_precision@5, cosine_precision@10, cosine_recall@5, cosine_recall@10, cosine_ndcg@5, cosine_ndcg@10, cosine_mrr@5, cosine_mrr@10, cosine_map@5, cosine_map@10
pipeline_tag: sentence-similarity
tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, loss:CoSENTLoss, dataset_size:102962, loss:WeightedDenoisingAutoEncoderLoss, loss:WeightedMultipleNegativesRankingLoss
widget: source_sentence: , antenna, or other sensor to attain mission performance levels that
currently cannot be achieved by a monolithic satellite. Most aspects of this concept have been widely studied, but
the first implementation has yet to be realized, with the exception of a few initial experiments.
A distributed satellite system taxonomy is shown in Fig. 1 with a discussion of current and planned systems to
follow. At the end of this section, a candidate distributed space mission is presented as a common reference for
Table 1 presents a selection of current distributed satellite systems, grouped in the four typical mission
categories
sentences: What are the peaks that appear on waterfall plots but not on zero speed curves?

, What is the main challenge in implementing a distributed satellite system?

, What are the remaining challenges that need to be addressed for the successful implementation of optical links?

, source_sentence: :250,000 scale for regional context) . Near-term efforts should focus on high-priority locations .
[16] Terrain hazard (e .g ., slope, surface roughness), line-of-sight (i .e ., viewshed), and time-dependent
illumination maps at appropriate scales (e .g ., best-available supported by the data) are high-priority derived products essential in mission planning, and they should be made available as soon as possible .
[17] South polar data products could be initially controlled to coarser data and known surface reference points to support early Artemis missions and other surface activities, but establishment of a local control network applied to all necessary data layers would facilitate interoperability and provide more precision for specific sites .
Higher-order data products are tied to controlled foundational data and are derived from source data, such as measurements of elemental abundance, temperature or reflectance at multiple wavelengths, observations of solar illumination, and output from space weather models . Higher-order data products derived from these source data will play an essential role in planning and executing south polar missions . Planning the science activities to be carried out on the lunar surface will be based on these higher-order data products, and, in turn, the science returned by those activities will be used to update those same products . For example, geologic maps based on remotely sensed data prior to early Artemis landings will be a likely outcome of site assessments and will form the critical basis for traverse plans and planning of science tasks . The observations, samples, and measurements made during Artemis surface activities will feed back into updating the geologic maps, to the benefit of future crewed or robotic missions to the same area . Similarly, resource maps will drive the selection of landing sites for missions focused on resource discovery, characterization, and utilization, and the findings of those missions will be used to iteratively update the resource maps . In these cases, and others
sentences: Who are the authors of the NASA document "Space Radiation Cancer Risk Projections for Explorative Missions: Uncertainty Reduction and Mitigation"?

, What is the aggregate data rate of the outputs of the 7-band CCD-in-CMOS TDI sensor?

, What are the essential derived products in mission planning, and why are they crucial for south polar missions?

, source_sentence: As LisR as a demonstrator mission under development
sentences:  As LisR only serves as a technology demonstrator, the follow-up mission HiVE is already under development,  Schematic of the 3 grid extraction system in an ion gridded thruster showing one ion beamlet and the corresponding axial potential proﬁle (not to scale),  The diagram of PUC is shown as follows:
The propellent type is Sulfur Dioxide (SO2), source_sentence: Conclusion This provides formation processes application the impact on, small moon of the Didymos binary
sentences:  The mission network model,
parameters, commodity demand and supply used in this case study are presented in Fig,  Conclusion
This paper provides an overview of ejecta formation and evolution processes with speciﬁc application to the hypervelo- city impact of the DART spacecraft on Dimorphos, the small moon of the Didymos binary asteroid system, 
vantage points from NASA and non-NASA sources, including in orbit, airborne and even in-situ sensors to create a more dynamic and complete picture of a natural physical process, source_sentence: Table of
sentences: 
[29] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun,  Nevertheless, both formulations used in this work allow enough flexibility to adapt them to the most common mission requirements, while still being able to reduce the searching space for the optimization process,  Table 4 oﬀers a description of the selected FoM
model-index: name: SentenceTransformer based on BAAI/bge-base-en-v1.5
results: task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 768
type: dim_768
metrics: type: cosine_accuracy@5
value: 0.8196517412935324
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8606965174129353
name: Cosine Accuracy@10
verified: no, type: cosine_precision@5
value: 0.16393034825870648
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08606965174129352
name: Cosine Precision@10
verified: no, type: cosine_recall@5
value: 0.8196517412935324
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8606965174129353
name: Cosine Recall@10
verified: no, type: cosine_ndcg@5
value: 0.7116804364524553
name: Cosine Ndcg@5
verified: no, type: cosine_ndcg@10
value: 0.7249564355877233
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@5
value: 0.6753316749585401
name: Cosine Mrr@5
verified: no, type: cosine_mrr@10
value: 0.6808181315643997
name: Cosine Mrr@10
verified: no, type: cosine_map@5
value: 0.6753316749585406
name: Cosine Map@5
verified: no, type: cosine_map@10
value: 0.6808181315644002
name: Cosine Map@10
verified: no, type: cosine_accuracy@5
value: 0.8685897435897436
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.9134615384615384
name: Cosine Accuracy@10
verified: no, type: cosine_precision@5
value: 0.1737179487179487
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.09134615384615384
name: Cosine Precision@10
verified: no, type: cosine_recall@5
value: 0.8685897435897436
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.9134615384615384
name: Cosine Recall@10
verified: no, type: cosine_ndcg@5
value: 0.7286906150877144
name: Cosine Ndcg@5
verified: no, type: cosine_ndcg@10
value: 0.7431205481598633
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@5
value: 0.6814636752136752
name: Cosine Mrr@5
verified: no, type: cosine_mrr@10
value: 0.6873728123728122
name: Cosine Mrr@10
verified: no, type: cosine_map@5
value: 0.6814636752136752
name: Cosine Map@5
verified: no, type: cosine_map@10
value: 0.6873728123728124
name: Cosine Map@10
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 512
type: dim_512
metrics: type: cosine_accuracy@5
value: 0.8034825870646766
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8470149253731343
name: Cosine Accuracy@10
verified: no, type: cosine_precision@5
value: 0.1606965174129353
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08470149253731342
name: Cosine Precision@10
verified: no, type: cosine_recall@5
value: 0.8034825870646766
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8470149253731343
name: Cosine Recall@10
verified: no, type: cosine_ndcg@5
value: 0.6967322721990336
name: Cosine Ndcg@5
verified: no, type: cosine_ndcg@10
value: 0.7108049353049597
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@5
value: 0.6608001658374787
name: Cosine Mrr@5
verified: no, type: cosine_mrr@10
value: 0.6666044776119396
name: Cosine Mrr@10
verified: no, type: cosine_map@5
value: 0.6608001658374792
name: Cosine Map@5
verified: no, type: cosine_map@10
value: 0.6666044776119403
name: Cosine Map@10
verified: no, type: cosine_accuracy@5
value: 0.8557692307692307
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.907051282051282
name: Cosine Accuracy@10
verified: no, type: cosine_precision@5
value: 0.17115384615384616
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.0907051282051282
name: Cosine Precision@10
verified: no, type: cosine_recall@5
value: 0.8557692307692307
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.907051282051282
name: Cosine Recall@10
verified: no, type: cosine_ndcg@5
value: 0.7241884927554256
name: Cosine Ndcg@5
verified: no, type: cosine_ndcg@10
value: 0.7406789864779515
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@5
value: 0.6800747863247864
name: Cosine Mrr@5
verified: no, type: cosine_mrr@10
value: 0.6868208180708181
name: Cosine Mrr@10
verified: no, type: cosine_map@5
value: 0.6800747863247864
name: Cosine Map@5
verified: no, type: cosine_map@10
value: 0.6868208180708181
name: Cosine Map@10
verified: no, task: type: information-retrieval
name: Information Retrieval
dataset: name: dim 256
type: dim_256
metrics: type: cosine_accuracy@5
value: 0.777363184079602
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8258706467661692
name: Cosine Accuracy@10
verified: no, type: cosine_precision@5
value: 0.15547263681592036
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08258706467661689
name: Cosine Precision@10
verified: no, type: cosine_recall@5
value: 0.777363184079602
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8258706467661692
name: Cosine Recall@10
verified: no, type: cosine_ndcg@5
value: 0.6732366988651133
name: Cosine Ndcg@5
verified: no, type: cosine_ndcg@10
value: 0.6890994908635195
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@5
value: 0.638246268656716
name: Cosine Mrr@5
verified: no, type: cosine_mrr@10
value: 0.6448970425649527
name: Cosine Mrr@10
verified: no, type: cosine_map@5
value: 0.6382462686567164
name: Cosine Map@5
verified: no, type: cosine_map@10
value: 0.644897042564953
name: Cosine Map@10
verified: no, type: cosine_accuracy@5
value: 0.842948717948718
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.8814102564102564
name: Cosine Accuracy@10
verified: no, type: cosine_precision@5
value: 0.16858974358974357
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08814102564102565
name: Cosine Precision@10
verified: no, type: cosine_recall@5
value: 0.842948717948718
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.8814102564102564
name: Cosine Recall@10
verified: no, type: cosine_ndcg@5
value: 0.7221379927354293
name: Cosine Ndcg@5
verified: no, type: cosine_ndcg@10
value: 0.7350654713813302
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@5
value: 0.6817307692307693
name: Cosine Mrr@5
verified: no, type: cosine_mrr@10
value: 0.6873613654863654
name: Cosine Mrr@10
verified: no, type: cosine_map@5
value: 0.6817307692307691
name: Cosine Map@5
verified: no, type: cosine_map@10
value: 0.6873613654863655
name: Cosine Map@10
verified: no
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Created: 2024-08-17 17:57:07