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{"tstamp": 1731681359.2192, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1731681359.0692, "finish": 1731681359.2192, "ip": "", "conv_id": "4c8c5bbe1b604de4b2d19ecad4af688a", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "We analyze these measures theoretically under a distributional model which encapsulates reasonable adversarial settings", "output": [["We analyze these measures theoretically under a distributional model which encapsulates reasonable adversarial settings", "Title: Products and relations in symplectic Floer homology\n\nAbstract: We give a construction of a version of the Gromov-Witten classes, Q: H_*(J) -> HF_*(M) otimes ... otimes HF^*(M), within the context of symplectic Floer (co)homology. In particular, this gives a functorial approach to products and relations in symplectic Floer (co)homology."]], "corpus": "arxiv"}
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{"tstamp": 1731681455.1047, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1731681454.7812, "finish": 1731681455.1047, "ip": "", "conv_id": "dc07ca4cefdb431a919e77ffaea6bdc5", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "We analyze these measures theoretically under a specification model which encapsulates reasonable dynamics settings", "output": [["We analyze these measures theoretically under a specification model which encapsulates reasonable dynamics settings", "Causal inference\n\nModel specification Model specification is the act of selecting a model to be used in data analysis. Social scientists (and, indeed, all scientists) must determine the correct model to use because different models are good at estimating different relationships.\nModel specification can be useful in determining causality that is slow to emerge, where the effects of an action in one period are only felt in a later period. It is worth remembering that correlations only measure whether two variables have similar variance, not whether they affect one another in a particular direction; thus, one cannot determine the direction of a causal relation based on correlations only. Because causal acts are believed to precede causal effects, social scientists can use a model that looks specifically for the effect of one variable on another over a period of time. This leads to using the variables representing phenomena happening earlier as treatment effects, where econometric tests are used to look for later changes in data that are attributed to the effect of such treatment effects, where a meaningful difference in results following a meaningful difference in treatment effects may indicate causality between the treatment effects and the measured effects (e.g., Granger-causality tests). Such studies are examples of time-series analysis."]], "corpus": "wikipedia"}
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{"tstamp": 1731681455.1047, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1731681454.7812, "finish": 1731681455.1047, "ip": "", "conv_id": "88722331773a4fd8b18678278e05f800", "model_name": "text-embedding-004", "prompt": "We analyze these measures theoretically under a specification model which encapsulates reasonable dynamics settings", "output": [["We analyze these measures theoretically under a specification model which encapsulates reasonable dynamics settings", "Dynamic stochastic general equilibrium\n\nDSGE models employed by governments and central banks for policy analysis are relatively simple. Their structure is built around three interrelated sections including that of demand, supply, and the monetary policy equation. These three sections are formally defined by micro-foundations and make explicit assumptions about the behavior of the main economic agents in the economy, i.e. households, firms, and the government. The interaction of the agents in markets cover every period of the business cycle which ultimately qualifies the \"general equilibrium\" aspect of this model. The preferences (objectives) of the agents in the economy must be specified. For example, households might be assumed to maximize a utility function over consumption and labor effort. Firms might be assumed to maximize profits and to have a production function, specifying the amount of goods produced, depending on the amount of labor, capital and other inputs they employ. Technological constraints on firms' decisions might include costs of adjusting their capital stocks, their employment relations, or the prices of their products.\nBelow is an example of the set of assumptions a DSGE is built upon:\nPerfect competition in all markets\nAll prices adjust instantaneously\nRational expectations\nNo asymmetric information\nThe competitive equilibrium is Pareto optimal\nFirms are identical and price takers\nInfinitely lived identical price-taking households\nto which the following frictions are added:\nDistortionary taxes (Labour taxes) – to account for not lump-sum taxation\nHabit persistence (the period utility function depends on a quasi-difference of consumption)\nAdjustment costs on investments – to make investments less volatile\nLabour adjustment costs – to account for costs firms face when changing the level of employment"]], "corpus": "wikipedia"}
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{"tstamp": 1731681359.2192, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1731681359.0692, "finish": 1731681359.2192, "ip": "", "conv_id": "4c8c5bbe1b604de4b2d19ecad4af688a", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "We analyze these measures theoretically under a distributional model which encapsulates reasonable adversarial settings", "output": [["We analyze these measures theoretically under a distributional model which encapsulates reasonable adversarial settings", "Title: Products and relations in symplectic Floer homology\n\nAbstract: We give a construction of a version of the Gromov-Witten classes, Q: H_*(J) -> HF_*(M) otimes ... otimes HF^*(M), within the context of symplectic Floer (co)homology. In particular, this gives a functorial approach to products and relations in symplectic Floer (co)homology."]], "corpus": "arxiv"}
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{"tstamp": 1731681455.1047, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1731681454.7812, "finish": 1731681455.1047, "ip": "", "conv_id": "dc07ca4cefdb431a919e77ffaea6bdc5", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "We analyze these measures theoretically under a specification model which encapsulates reasonable dynamics settings", "output": [["We analyze these measures theoretically under a specification model which encapsulates reasonable dynamics settings", "Causal inference\n\nModel specification Model specification is the act of selecting a model to be used in data analysis. Social scientists (and, indeed, all scientists) must determine the correct model to use because different models are good at estimating different relationships.\nModel specification can be useful in determining causality that is slow to emerge, where the effects of an action in one period are only felt in a later period. It is worth remembering that correlations only measure whether two variables have similar variance, not whether they affect one another in a particular direction; thus, one cannot determine the direction of a causal relation based on correlations only. Because causal acts are believed to precede causal effects, social scientists can use a model that looks specifically for the effect of one variable on another over a period of time. This leads to using the variables representing phenomena happening earlier as treatment effects, where econometric tests are used to look for later changes in data that are attributed to the effect of such treatment effects, where a meaningful difference in results following a meaningful difference in treatment effects may indicate causality between the treatment effects and the measured effects (e.g., Granger-causality tests). Such studies are examples of time-series analysis."]], "corpus": "wikipedia"}
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{"tstamp": 1731681455.1047, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1731681454.7812, "finish": 1731681455.1047, "ip": "", "conv_id": "88722331773a4fd8b18678278e05f800", "model_name": "text-embedding-004", "prompt": "We analyze these measures theoretically under a specification model which encapsulates reasonable dynamics settings", "output": [["We analyze these measures theoretically under a specification model which encapsulates reasonable dynamics settings", "Dynamic stochastic general equilibrium\n\nDSGE models employed by governments and central banks for policy analysis are relatively simple. Their structure is built around three interrelated sections including that of demand, supply, and the monetary policy equation. These three sections are formally defined by micro-foundations and make explicit assumptions about the behavior of the main economic agents in the economy, i.e. households, firms, and the government. The interaction of the agents in markets cover every period of the business cycle which ultimately qualifies the \"general equilibrium\" aspect of this model. The preferences (objectives) of the agents in the economy must be specified. For example, households might be assumed to maximize a utility function over consumption and labor effort. Firms might be assumed to maximize profits and to have a production function, specifying the amount of goods produced, depending on the amount of labor, capital and other inputs they employ. Technological constraints on firms' decisions might include costs of adjusting their capital stocks, their employment relations, or the prices of their products.\nBelow is an example of the set of assumptions a DSGE is built upon:\nPerfect competition in all markets\nAll prices adjust instantaneously\nRational expectations\nNo asymmetric information\nThe competitive equilibrium is Pareto optimal\nFirms are identical and price takers\nInfinitely lived identical price-taking households\nto which the following frictions are added:\nDistortionary taxes (Labour taxes) – to account for not lump-sum taxation\nHabit persistence (the period utility function depends on a quasi-difference of consumption)\nAdjustment costs on investments – to make investments less volatile\nLabour adjustment costs – to account for costs firms face when changing the level of employment"]], "corpus": "wikipedia"}
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{"tstamp": 1731683197.6788, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1731683195.3215, "finish": 1731683197.6788, "ip": "", "conv_id": "4e693b740c094cc1b7dcf70c771a663b", "model_name": "embed-english-v3.0", "prompt": "how many seasons of rules of engagement is there", "output": [["how many seasons of rules of engagement is there", "Rules of Engagement (TV series)\n\nRules of Engagement is an American sitcom television series created by Tom Hertz that ran on CBS from February 5, 2007, to May 20, 2013, originally airing as a mid-season replacement. The series was produced by Adam Sandler's Happy Madison Productions in association with CBS Television Studios and Sony Pictures Television (SPT controls the North American rights while CBS controls the international rights).\nAlthough the show received negative reviews throughout its run, it earned 3 Primetime Emmy Award nominations and always earned reasonably good ratings, helping the show reach 100 episodes (typically the minimum needed for syndication) over seven seasons.\nPremise\nTwo couples and their single friend deal with the complications of dating, promise and marriage. It portrays different interpersonal relationships in various stages, starring Patrick Warburton and Megyn Price as a long-married couple, Oliver Hudson and Bianca Kajlich as newly engaged sweethearts, and David Spade and Adhir Kalyan (the latter added in season 3) as their still-single friends. They often meet at \"The Island Diner.\""]], "corpus": "wikipedia"}
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{"tstamp": 1731683197.6788, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1731683195.3215, "finish": 1731683197.6788, "ip": "", "conv_id": "04ef806cba8c410fa9e463edb351440f", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "how many seasons of rules of engagement is there", "output": [["how many seasons of rules of engagement is there", "Rules of Engagement (TV series)\n\nHistory The show was heavily promoted by CBS during Super Bowl XLI and launched the following night, the first of seven episodes in its first season. The pilot episode remains the highest rated episode of the show. The series was renewed for a second season, which began as a mid-season replacement for The New Adventures of Old Christine on Monday, September 24, 2007, with production halted after nine episodes on November 6, 2007, in the wake of a writers' strike. After the strike ended, CBS announced that the show would return April 14, 2008, with a further six episodes.\nSeasons three and four were both mid-season entries launched in March 2009 and March 2010. On May 18, 2010, it was announced that CBS had renewed Rules of Engagement for a 5th season. It was later announced that this season would start in September, in contrast to its usual midseason start, and received an expanded 24-episode order. (The fifth season was the only season to have a full-season order.) The first 15 episodes aired on Monday nights, usually in the 8:30 pm Eastern/7:30 pm Central time slot following How I Met Your Mother. Then on February 24, 2011, the series moved to Thursdays at 8:30 pm Eastern/7:30 pm Central, following The Big Bang Theory, after the cancellation of $#*! My Dad Says. On January 31, 2011, CBS ordered an additional two episodes of the series to prepare for the possibility of Two and a Half Men going into hiatus following Charlie Sheen's real-life issues, taking the episode order to 26. Two of these episodes were held back and aired as part of the sixth season."]], "corpus": "wikipedia"}
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