Scheduled Commit

data/retrieval_individual-35e094d9-c3d4-447e-b2f4-7dd3f5d1d585.jsonl

@@ -247,3 +247,7 @@
 {"tstamp": 1723460069.837, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1723460067.5569, "finish": 1723460069.837, "ip": "", "conv_id": "fb800a9f8e1840549a1b94669fd125c4", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "who is has the highest score for bash scripting answers", "output": [["who is has the highest score for bash scripting answers", "Unix Stackexchange\n\nQ: How to get top 5 most ram intensive applications from Bash? So I look at avaliable to me servers load\n \nand see that some other user has created some really ram intensive app that kills my server hosting abileties. I wonder what is bash command to get top 5 most ram using applications n my server. How would such command look like? \n\nA: You can use ps:\nps axo pid,args,pmem,rss,vsz --sort -pmem,-rss,-vsz | head -n 5\n\n"]], "corpus": "stackexchange"}
 {"tstamp": 1723460144.8007, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1723460142.6273, "finish": 1723460144.8007, "ip": "", "conv_id": "a8be45cbe01c42a39c5e2b4d19797867", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "who has the most upvotes for answers to bash related questions", "output": [["who has the most upvotes for answers to bash related questions", "Meta Stackexchange\n\nQ: Who gets the most reputation per keystroke on SO? Who are the top 50 users who gain the most rep per keystroke on SO, including CC-Wiki and Closed questions? (excluding users with a reputation lower than 5000)\n\nA: Ok - now you can browse the top results on DataExplorer: http://odata.stackexchange.com/stackoverflow/q/4417/\n(converted from an old StatOverflow query, added waffle's coalesce suggestion during the conversion to SQLServer-flavored SQL)\n"]], "corpus": "stackexchange"}
 {"tstamp": 1723460144.8007, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1723460142.6273, "finish": 1723460144.8007, "ip": "", "conv_id": "0bd89031d103438ab15c3386a1f08505", "model_name": "GritLM/GritLM-7B", "prompt": "who has the most upvotes for answers to bash related questions", "output": [["who has the most upvotes for answers to bash related questions", "Superuser Stackexchange\n\nQ: Bash Shell Tutorials What are some good bash tutorials? I would like to learn more about the bash shells commands and how to use them.\n\nA: I find Greg's Bash Guide and Bash FAQ very helpful, even for beginners.\nAlso, I remember learning bash from Daniel Robbins' series, Bash by example, which is a very good read in my opinion.\n"]], "corpus": "stackexchange"}
+{"tstamp": 1723462899.686, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1723462899.4696, "finish": 1723462899.686, "ip": "", "conv_id": "e95a8e9108cd4788b9425f6bbae3d9af", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Cognitive test\n\nCognitive tests are assessments of the cognitive capabilities of humans and other animals. Tests administered to humans include various forms of IQ tests; those administered to animals include the mirror test (a test of visual self-awareness) and the T maze test (which tests learning ability). Such testing is used in psychology and psychometrics, as well as other fields studying human and animal intelligence."]], "corpus": "wikipedia"}
+{"tstamp": 1723462899.686, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723462899.4696, "finish": 1723462899.686, "ip": "", "conv_id": "c5ab5d5d1e0e472eb6d716f143386653", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "corpus": "wikipedia"}
+{"tstamp": 1723462931.2296, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1723462931.0828, "finish": 1723462931.2296, "ip": "", "conv_id": "9563daefb42249939a298c5a4de7c9fc", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "I am looking for a paper to help me deal with data constraints as I scale up my language model.", "output": [["I am looking for a paper to help me deal with data constraints as I scale up my language model.", "Title: Like Sparrows on a Clothes Line: The Self-Organization of Random Number Sequences\n\nAbstract: We study sequences of random numbers {Z[1],Z[2],Z[3],...,Z[n]} -- which can be considered random walks with reflecting barriers -- and define their \"types\" according to whether Z[i] > Z[i+1], (a down-movement), or Z[i] < Z[i+1] (up-movement). This paper examines the means, xi, to which the Zi converge, when a large number of sequences of the same type is considered. It is shown that these means organize themselves in such a way that, between two turning points of the sequence, they are equidistant from one another. We also show that m steps in one direction tend to offset one step in the other direction, as m -> infinity. Key words:random number sequence, self-organization, random walk, reflecting barriers."]], "corpus": "arxiv"}
+{"tstamp": 1723462931.2296, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1723462931.0828, "finish": 1723462931.2296, "ip": "", "conv_id": "0c34d302310549e0ab53d83e22c16b54", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "I am looking for a paper to help me deal with data constraints as I scale up my language model.", "output": [["I am looking for a paper to help me deal with data constraints as I scale up my language model.", "Title: Scaling Data-Constrained Language Models\n\nAbstract: The current trend of scaling language models involves increasing both parameter count and training dataset size. Extrapolating this trend suggests that training dataset size may soon be limited by the amount of text data available on the internet. Motivated by this limit, we investigate scaling language models in data-constrained regimes. Specifically, we run a large set of experiments varying the extent of data repetition and compute budget, ranging up to 900 billion training tokens and 9 billion parameter models. We find that with constrained data for a fixed compute budget, training with up to 4 epochs of repeated data yields negligible changes to loss compared to having unique data. However, with more repetition, the value of adding compute eventually decays to zero. We propose and empirically validate a scaling law for compute optimality that accounts for the decreasing value of repeated tokens and excess parameters. Finally, we experiment with approaches mitigating data scarcity, including augmenting the training dataset with code data or removing commonly used filters. Models and datasets from our 400 training runs are freely available at https://github.com/huggingface/datablations."]], "corpus": "arxiv"}

data/retrieval_side_by_side-35e094d9-c3d4-447e-b2f4-7dd3f5d1d585.jsonl

@@ -6,3 +6,4 @@
 {"tstamp": 1723413013.0564, "task_type": "retrieval", "type": "rightvote", "models": ["GritLM/GritLM-7B", "Salesforce/SFR-Embedding-2_R"], "ip": "", "0_conv_id": "63dca5c59a2d437593d3201df0f14fab", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "- what issues exist with using FRP in buildings? Other than mechanical failure", "0_output": [["- what issues exist with using FRP in buildings? Other than mechanical failure", "Title: An Experimental Study on Shear and Flexural Strengthening of Concrete Beams Using GFRP Composites\n\nAbstract: Maintaining and restoring buildings has nowadays gained special importance due to its high cost. Various different methods have been presented regarding this matter due to the above-mentioned reason and also the ever-growing demand for the engineers and the building-industry specialists for strengthening, restoring, and improving the concrete structures. The effect of FRP sheets on shear and flexural strengthening of simple concrete beams has been examined in this research. Four concrete beams containing concrete were constructed with a similar cross section and length and a common resistance level. They underwent the two-point flexural test and their exploitation conditions were studied. The results showed that if the FRP sheets are used appropriately and with proper bracing in strengthening the concrete beam samples, there will be a significant increase in their shear and flexural strength. Moreover, it was observed that relative deformation measured on the concrete surface and the GFRP sheet is proportional."]], "0_corpus": "arxiv", "1_conv_id": "41c064c029374fc383588bd7b2a4acfd", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "- what issues exist with using FRP in buildings? Other than mechanical failure", "1_output": [["- what issues exist with using FRP in buildings? Other than mechanical failure", "Title: Analytical Study of Reinforced Concrete Beams Strengthened by FRP Bars Subjected to Impact Loading Conditions\n\nAbstract: In this research, a new analytical model is developed to analyze structural members strengthened with FRP systems and subjected to impact loading conditions. ABAQUS based finite element code was used to develop the proposed model. The model was validated against nine beams built and tested with various configurations and loading conditions. Three sets of beams were prepared and tested under quasistatic and impact loadings by applying various impact height and Dynamic Explicit loading conditions. The first set consisted of two beams, where one of the beams was reinforced with steel bars and the other was externally reinforced with GFRP sheet. The second set consisted of six beams, with five of the beams were reinforced with steel bars and one of them wrapped by GFRP sheet. The last set was tested to validate the response of concrete beams reinforced by FRP bar. In addition, beams were reinforced with glass and carbon fiber composite bars tested under Quasi-Static and Impact loading conditions. The impact load was simulated by the concept of a drop of a solid hammer from various heights. The numerical results showed that the developed model can be an effective tool to predict the performance of retrofitted beams under dynamic loading condition. Furthermore, the model showed that FRP retrofitting of RC beams subjected to repetitive impact loads can effectively improve their dynamic performance and can slow the progress of damage."]], "1_corpus": "arxiv"}
 {"tstamp": 1723413025.7799, "task_type": "retrieval", "type": "rightvote", "models": ["GritLM/GritLM-7B", "Salesforce/SFR-Embedding-2_R"], "ip": "", "0_conv_id": "1904092c2c074090a373398203aa0615", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "- how to mitigate thermal degradation of FRPs in buildings?\n", "0_output": [["- how to mitigate thermal degradation of FRPs in buildings?\n", "Title: Radiative Cooling and Thermoregulation in the Earth's Glow\n\nAbstract: Passive radiative cooling involves a net radiative heat loss into the cold outer space through the atmospheric transmission windows. Due to its passive nature and net cooling effect, it is a promising alternative or complement to electrical cooling. For efficient radiative cooling of objects, an unimpeded view of the sky is ideal. However, the view of the sky is usually limited - for instance, the walls of buildings have >50% of their field of view subtended by the earth. Moreover, objects on earth become sources of heat under sunlight. Therefore, building walls with hot terrestrial objects in view experience reduced cooling or heating, even with materials optimized for heat loss into the sky. We show that by using materials with selective long-wavelength infrared (LWIR) emittances, vertical building facades experience higher cooling than achievable by using broadband thermal emitters like typical building envelopes. Intriguingly, this effect is pronounced in the summer and diminishes or even reverses during the winter, indicating a thermoregulation effect. The findings highlight a major opportunity to harness untapped energy savings in buildings."]], "0_corpus": "arxiv", "1_conv_id": "7442151372be497a8762b3a41f83180e", "1_model_name": "Salesforce/SFR-Embedding-2_R", "1_prompt": "- how to mitigate thermal degradation of FRPs in buildings?\n", "1_output": [["- how to mitigate thermal degradation of FRPs in buildings?\n", "Title: Thermal buckling of thin injection-molded FRP plates with fiber orientation varying over the thickness\n\nAbstract: The different thermo-elastic properties of glass fibers and polymer matrices can generate residual thermal stresses in injection-molded fiber-reinforced plastic (FRP) objects. During cooling from mold to room temperature, these stresses can be relaxed by large deformations resulting from an instability of the unwarped configuration (i.e., buckling). This article investigates the thermal buckling of thin FRP disks via an analytical formulation based on the Foppl-von Karman theory. Expanding on our previous work, cylindrical orthotropy with material parameters varying over the disk thickness is assumed in order to account for thickness dependency of the glass fiber orientation distribution. A disk parameter generalizing the thermal anisotropy ratio for homogeneous orthotropic disks is introduced and its relation with the occurrence and periodicity of buckling is discussed. This is done for a skin-coreskin model, for which the core-to-total thickness ratio is defined. For fiber orientation distributions typical of injection-molded disks, it is found that there exists a value of the thickness ratio for which no buckling occurs. It is also demonstrated that the periodicity of the first buckling mode is described by the generalized thermal anisotropy ratio, thus extending the results obtained for a homogeneous fiber orientation distribution. Improvements in the accuracy of the predictions for experimental data available in the literature when using the skin-core-skin model are shown. Finally, we study the relation between buckling temperature and disk thickness and propose an expression for the dependence of the normalized buckling temperature on the thermal anisotropy ratio. Results of FEM simulations are used to validate the proposed expression, proving its applicability and accuracy."]], "1_corpus": "arxiv"}
 {"tstamp": 1723439397.6826, "task_type": "retrieval", "type": "leftvote", "models": ["nomic-ai/nomic-embed-text-v1.5", "Alibaba-NLP/gte-Qwen2-7B-instruct"], "ip": "", "0_conv_id": "bcf477eeb8d840e0be410dfe130344f9", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "molecular generation", "0_output": [["molecular generation", "Title: Molecule Generation Experience: An Open Platform of Material Design for Public Users\n\nAbstract: Artificial Intelligence (AI)-driven material design has been attracting great attentions as a groundbreaking technology across a wide spectrum of industries. Molecular design is particularly important owing to its broad application domains and boundless creativity attributed to progresses in generative models. The recent maturity of molecular generative models has stimulated expectations for practical use among potential users, who are not necessarily familiar with coding or scripting, such as experimental engineers and students in chemical domains. However, most of the existing molecular generative models are Python libraries on GitHub, that are accessible for only IT-savvy users. To fill this gap, we newly developed a graphical user interface (GUI)-based web application of molecular generative models, Molecule Generation Experience, that is open to the general public. This is the first web application of molecular generative models enabling users to work with built-in datasets to carry out molecular design. In this paper, we describe the background technology extended from our previous work. Our new online evaluation and structural filtering algorithms significantly improved the generation speed by 30 to 1,000 times with a wider structural variety, satisfying chemical stability and synthetic reality. We also describe in detail our Kubernetes-based scalable cloud architecture and user-oriented GUI that are necessary components to achieve a public service. Finally, we present actual use cases in industrial research to design new photoacid generators (PAGs) as well as release cases in educational events."]], "0_corpus": "arxiv", "1_conv_id": "cc175b1a0f3442f8a9fadb43a99fce5d", "1_model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "1_prompt": "molecular generation", "1_output": [["molecular generation", "Title: Generating equilibrium molecules with deep neural networks\n\nAbstract: Discovery of atomistic systems with desirable properties is a major challenge in chemistry and material science. Here we introduce a novel, autoregressive, convolutional deep neural network architecture that generates molecular equilibrium structures by sequentially placing atoms in three-dimensional space. The model estimates the joint probability over molecular configurations with tractable conditional probabilities which only depend on distances between atoms and their nuclear charges. It combines concepts from state-of-the-art atomistic neural networks with auto-regressive generative models for images and speech. We demonstrate that the architecture is capable of generating molecules close to equilibrium for constitutional isomers of C$_7$O$_2$H$_{10}$."]], "1_corpus": "arxiv"}
+{"tstamp": 1723462918.3535, "task_type": "retrieval", "type": "rightvote", "models": ["jinaai/jina-embeddings-v2-base-en", "BAAI/bge-large-en-v1.5"], "ip": "", "0_conv_id": "e95a8e9108cd4788b9425f6bbae3d9af", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "Which test was devised to determine whether robots can think?", "0_output": [["Which test was devised to determine whether robots can think?", "Cognitive test\n\nCognitive tests are assessments of the cognitive capabilities of humans and other animals. Tests administered to humans include various forms of IQ tests; those administered to animals include the mirror test (a test of visual self-awareness) and the T maze test (which tests learning ability). Such testing is used in psychology and psychometrics, as well as other fields studying human and animal intelligence."]], "0_corpus": "wikipedia", "1_conv_id": "c5ab5d5d1e0e472eb6d716f143386653", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "Which test was devised to determine whether robots can think?", "1_output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "1_corpus": "wikipedia"}