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data/retrieval_individual-dd51f1d2-bf9d-4e42-9a72-5b30dd2bd338.jsonl

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 {"tstamp": 1722360288.8895, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722360288.4132, "finish": 1722360288.8895, "ip": "", "conv_id": "8e0a2106198b416899abf77d45576c31", "model_name": "voyage-multilingual-2", "prompt": "Can plants get cancer?", "output": [["Can plants get cancer?", "List of unproven and disproven cancer treatments\n\nVenus flytrap – a carnivorous plant, the extract of which is promoted as a treatment for a variety of human ailments including skin cancer. According to the American Cancer Society, \"available scientific evidence does not support claims that extract from the Venus flytrap plant is effective in treating skin cancer or any other type of cancer\".\nWalnuts – large, hard edible seeds of any tree of the genus Juglans. Black walnut has been promoted as a cancer cure on the basis it kills a \"parasite\" responsible for the disease. However, according to the American Cancer Society, \"available scientific evidence does not support claims that hulls from black walnuts remove parasites from the intestinal tract or that they are effective in treating cancer or any other disease\".\nWheatgrass – a food made from grains of wheat. According to the American Cancer Society, although some wheatgrass champions claim it can \"shrink\" cancer tumors, \"available scientific evidence does not support the idea that wheatgrass or the wheatgrass diet can cure or prevent disease\".\nWild yam (or Chinese yam) – types of yam, the roots of which are made into creams and dietary supplements that are promoted for a variety of medicinal purposes, including cancer prevention. The American Cancer Society says of these products, \"available scientific evidence does not support claims that they are safe or effective.\""]], "corpus": "wikipedia"}
 {"tstamp": 1722360773.5123, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722360773.3559, "finish": 1722360773.5123, "ip": "", "conv_id": "5bc3584d8fab48808802f5b6a573069b", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "What is I para?", "output": [["What is I para?", "Title: Solitons and 1/f Noise in Molecular Chains\n\nAbstract: Davydov's model of solitons in alpha-helix protein chains is shown to display features of self-organized criticality (SOC), i.e., power law behaviour of correlations in space and 1/f-noise, as a consequence of considering random peptide group displacements from their (periodic) equilibrium positions along a chain. This may shed light on a basic mechanism leading to obtain flicker noise in alpha-helix protein chains and to predict a SOC regime in biomolecular structures from first principles. We believe our treatment of 1/f noise to be of some relevance to recent findings due to Voss on DNA [Phys. Rev. Lett. 68, 3805 (1992)]."]], "corpus": "arxiv"}
 {"tstamp": 1722360773.5123, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1722360773.3559, "finish": 1722360773.5123, "ip": "", "conv_id": "c98a7a4397b144d580661f955970d07a", "model_name": "BM25", "prompt": "What is I para?", "output": [["What is I para?", "Title: Adsorption of para-Hydrogen on Krypton pre-plated graphite\n\nAbstract: Adsorption of para-Hydrogen on the surface of graphite pre-plated with a single layer of atomic krypton is studied thoretically by means of Path Integral Ground State Monte Carlo simulations. We compute energetics and density profiles of para-hydrogen, and determine the structure of the adsorbed film for various coverages. Results show that there are two thermodynamically stable monolayer phases of para-hydrogen, both solid. One is commensurate with the krypton layer, the other is incommensurate. No evidence is seen of a thermodynamically stable liquid phase, at zero temperature. These results are qualitatively similar to what is seen for for para-hydrogen on bare graphite. Quantum exchanges of hydrogen molecules are suppressed in this system."]], "corpus": "arxiv"}
+{"tstamp": 1722360943.2037, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722360943.1125, "finish": 1722360943.2037, "ip": "", "conv_id": "0cf03b7dcc2d4c42aaec89dce08c87b5", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "What is inpars?", "output": [["What is inpars?", "Title: On the conical refraction of hydromagnetic waves in plasma with anisotropic thermal pressure\n\nAbstract: A phenomenon analogous to the conical refraction widely known in the crystalooptics and crystaloacoustics is discovered for the magnetohydrodynamical waves in the collisionless plasma with anisotropic thermal pressure. Angle of the conical refraction is calculated for the medium under study which is predicted to be $18^{\\circ}26^{\\prime}$. Possible experimental corroborating of the discovered phenomenon is discussed."]], "corpus": "arxiv"}
+{"tstamp": 1722360943.2037, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1722360943.1125, "finish": 1722360943.2037, "ip": "", "conv_id": "ea89ad4b67514cca9ee93d3de356758b", "model_name": "BM25", "prompt": "What is inpars?", "output": [["What is inpars?", "Title: InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval\n\nAbstract: Recently, InPars introduced a method to efficiently use large language models (LLMs) in information retrieval tasks: via few-shot examples, an LLM is induced to generate relevant queries for documents. These synthetic query-document pairs can then be used to train a retriever. However, InPars and, more recently, Promptagator, rely on proprietary LLMs such as GPT-3 and FLAN to generate such datasets. In this work we introduce InPars-v2, a dataset generator that uses open-source LLMs and existing powerful rerankers to select synthetic query-document pairs for training. A simple BM25 retrieval pipeline followed by a monoT5 reranker finetuned on InPars-v2 data achieves new state-of-the-art results on the BEIR benchmark. To allow researchers to further improve our method, we open source the code, synthetic data, and finetuned models: https://github.com/zetaalphavector/inPars/tree/master/tpu"]], "corpus": "arxiv"}