Datasets:

mteb
/

arena-results

@@ -25,3 +25,7 @@
 {"tstamp": 1722330580.3861, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "343e583202b94432845a84d92016e273", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": "late interaction retrieval engine", "0_output": [["late interaction retrieval engine", "Title: Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction\n\nAbstract: Recent progress in information retrieval finds that embedding query and document representation into multi-vector yields a robust bi-encoder retriever on out-of-distribution datasets. In this paper, we explore whether late interaction, the simplest form of multi-vector, is also helpful to neural rerankers that only use the [CLS] vector to compute the similarity score. Although intuitively, the attention mechanism of rerankers at the previous layers already gathers the token-level information, we find adding late interaction still brings an extra 5% improvement in average on out-of-distribution datasets, with little increase in latency and no degradation in in-domain effectiveness. Through extensive experiments and analysis, we show that the finding is consistent across different model sizes and first-stage retrievers of diverse natures and that the improvement is more prominent on longer queries."]], "0_corpus": "arxiv", "1_conv_id": "5305603bc27e4f5e9c54451f4c2e4662", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "late interaction retrieval engine", "1_output": [["late interaction retrieval engine", "Title: PLAID: An Efficient Engine for Late Interaction Retrieval\n\nAbstract: Pre-trained language models are increasingly important components across multiple information retrieval (IR) paradigms. Late interaction, introduced with the ColBERT model and recently refined in ColBERTv2, is a popular paradigm that holds state-of-the-art status across many benchmarks. To dramatically speed up the search latency of late interaction, we introduce the Performance-optimized Late Interaction Driver (PLAID). Without impacting quality, PLAID swiftly eliminates low-scoring passages using a novel centroid interaction mechanism that treats every passage as a lightweight bag of centroids. PLAID uses centroid interaction as well as centroid pruning, a mechanism for sparsifying the bag of centroids, within a highly-optimized engine to reduce late interaction search latency by up to 7$\\times$ on a GPU and 45$\\times$ on a CPU against vanilla ColBERTv2, while continuing to deliver state-of-the-art retrieval quality. This allows the PLAID engine with ColBERTv2 to achieve latency of tens of milliseconds on a GPU and tens or just few hundreds of milliseconds on a CPU at large scale, even at the largest scales we evaluate with 140M passages."]], "1_corpus": "arxiv"}
 {"tstamp": 1722330643.9035, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "f57e49c925ec4e97b7cf34fa8fae1544", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "retrieval system that uses an inverted index with lexically matched dense token embeddings", "0_output": [["retrieval system that uses an inverted index with lexically matched dense token embeddings", "Title: COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List\n\nAbstract: Classical information retrieval systems such as BM25 rely on exact lexical match and carry out search efficiently with inverted list index. Recent neural IR models shifts towards soft semantic matching all query document terms, but they lose the computation efficiency of exact match systems. This paper presents COIL, a contextualized exact match retrieval architecture that brings semantic lexical matching. COIL scoring is based on overlapping query document tokens' contextualized representations. The new architecture stores contextualized token representations in inverted lists, bringing together the efficiency of exact match and the representation power of deep language models. Our experimental results show COIL outperforms classical lexical retrievers and state-of-the-art deep LM retrievers with similar or smaller latency."]], "0_corpus": "arxiv", "1_conv_id": "533774b5f05b4ce9a1513bb1b034d6cc", "1_model_name": "embed-english-v3.0", "1_prompt": "retrieval system that uses an inverted index with lexically matched dense token embeddings", "1_output": [["retrieval system that uses an inverted index with lexically matched dense token embeddings", "Title: Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations\n\nAbstract: Learned sparse representations form an attractive class of contextual embeddings for text retrieval. That is so because they are effective models of relevance and are interpretable by design. Despite their apparent compatibility with inverted indexes, however, retrieval over sparse embeddings remains challenging. That is due to the distributional differences between learned embeddings and term frequency-based lexical models of relevance such as BM25. Recognizing this challenge, a great deal of research has gone into, among other things, designing retrieval algorithms tailored to the properties of learned sparse representations, including approximate retrieval systems. In fact, this task featured prominently in the latest BigANN Challenge at NeurIPS 2023, where approximate algorithms were evaluated on a large benchmark dataset by throughput and recall. In this work, we propose a novel organization of the inverted index that enables fast yet effective approximate retrieval over learned sparse embeddings. Our approach organizes inverted lists into geometrically-cohesive blocks, each equipped with a summary vector. During query processing, we quickly determine if a block must be evaluated using the summaries. As we show experimentally, single-threaded query processing using our method, Seismic, reaches sub-millisecond per-query latency on various sparse embeddings of the MS MARCO dataset while maintaining high recall. Our results indicate that Seismic is one to two orders of magnitude faster than state-of-the-art inverted index-based solutions and further outperforms the winning (graph-based) submissions to the BigANN Challenge by a significant margin."]], "1_corpus": "arxiv"}
 {"tstamp": 1722330702.3173, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "46b6675f1fc1409db4ccac33e39d2053", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "What are gyros sandwiches commonly called in Berlin", "0_output": [["What are gyros sandwiches commonly called in Berlin", "Gyros\n\nGyros, sometimes anglicized as a gyro (; , ) in some regions, is meat cooked on a vertical rotisserie, then sliced and served wrapped or stuffed in pita bread, along with other ingredients such as tomato, onion, fried potatoes, and tzatziki. In Greece, it is normally made with pork or sometimes with chicken, whilst beef and lamb are also used in other countries.\nName\nThe name comes from the Greek  (, 'circle' or 'turn'). It is a calque of the Turkish , from , also meaning \"turn\".\nIn Athens and other parts of southern Greece, the skewered meat dish elsewhere called souvlaki is known as kalamaki, while souvlaki is a term used generally for gyros, and similar dishes.\nIn Greek, \"gyros\" is a nominative singular noun, but the final 's' is often interpreted in English usage as plural, leading to the singular back-formation \"gyro\". The Greek pronunciation is , though some English speakers pronounce it .\nSimilar dishes\nGyros is made in a similar manner to other dishes such as the Arab shawarma, Canadian donair, Mexican al pastor, and the Turkish döner kebab."]], "0_corpus": "wikipedia", "1_conv_id": "c551a862edc9498984544ee6c52b863e", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "What are gyros sandwiches commonly called in Berlin", "1_output": [["What are gyros sandwiches commonly called in Berlin", "Berlin\n\nBerlin is the capital and largest city of Germany, both by area and by population. Its more than 3.85 million inhabitants make it the European Union's most populous city, as measured by population within city limits having gained this status after the United Kingdom's, and thus London's, departure from the European Union. Simultaneously, the city is one of the states of Germany, and is the third smallest state in the country in terms of area. Berlin is surrounded by the state of Brandenburg, and Brandenburg's capital Potsdam is nearby. The urban area of Berlin has a population of over 4.5 million and is therefore the most populous urban area in Germany. The Berlin-Brandenburg capital region has around 6.2 million inhabitants and is Germany's second-largest metropolitan region after the Rhine-Ruhr region, and the sixth-biggest metropolitan region by GDP in the European Union.\nBerlin was built along the banks of the Spree river, which flows into the Havel in the western borough of Spandau. The city incorporates lakes in the western and southeastern boroughs, the largest of which is Müggelsee. About one-third of the city's area is composed of forests, parks and gardens, rivers, canals, and lakes."]], "1_corpus": "wikipedia"}

 {"tstamp": 1722330580.3861, "task_type": "retrieval", "type": "rightvote", "models": ["", ""], "ip": "", "0_conv_id": "343e583202b94432845a84d92016e273", "0_model_name": "intfloat/e5-mistral-7b-instruct", "0_prompt": "late interaction retrieval engine", "0_output": [["late interaction retrieval engine", "Title: Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction\n\nAbstract: Recent progress in information retrieval finds that embedding query and document representation into multi-vector yields a robust bi-encoder retriever on out-of-distribution datasets. In this paper, we explore whether late interaction, the simplest form of multi-vector, is also helpful to neural rerankers that only use the [CLS] vector to compute the similarity score. Although intuitively, the attention mechanism of rerankers at the previous layers already gathers the token-level information, we find adding late interaction still brings an extra 5% improvement in average on out-of-distribution datasets, with little increase in latency and no degradation in in-domain effectiveness. Through extensive experiments and analysis, we show that the finding is consistent across different model sizes and first-stage retrievers of diverse natures and that the improvement is more prominent on longer queries."]], "0_corpus": "arxiv", "1_conv_id": "5305603bc27e4f5e9c54451f4c2e4662", "1_model_name": "GritLM/GritLM-7B", "1_prompt": "late interaction retrieval engine", "1_output": [["late interaction retrieval engine", "Title: PLAID: An Efficient Engine for Late Interaction Retrieval\n\nAbstract: Pre-trained language models are increasingly important components across multiple information retrieval (IR) paradigms. Late interaction, introduced with the ColBERT model and recently refined in ColBERTv2, is a popular paradigm that holds state-of-the-art status across many benchmarks. To dramatically speed up the search latency of late interaction, we introduce the Performance-optimized Late Interaction Driver (PLAID). Without impacting quality, PLAID swiftly eliminates low-scoring passages using a novel centroid interaction mechanism that treats every passage as a lightweight bag of centroids. PLAID uses centroid interaction as well as centroid pruning, a mechanism for sparsifying the bag of centroids, within a highly-optimized engine to reduce late interaction search latency by up to 7$\\times$ on a GPU and 45$\\times$ on a CPU against vanilla ColBERTv2, while continuing to deliver state-of-the-art retrieval quality. This allows the PLAID engine with ColBERTv2 to achieve latency of tens of milliseconds on a GPU and tens or just few hundreds of milliseconds on a CPU at large scale, even at the largest scales we evaluate with 140M passages."]], "1_corpus": "arxiv"}
 {"tstamp": 1722330643.9035, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "f57e49c925ec4e97b7cf34fa8fae1544", "0_model_name": "GritLM/GritLM-7B", "0_prompt": "retrieval system that uses an inverted index with lexically matched dense token embeddings", "0_output": [["retrieval system that uses an inverted index with lexically matched dense token embeddings", "Title: COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List\n\nAbstract: Classical information retrieval systems such as BM25 rely on exact lexical match and carry out search efficiently with inverted list index. Recent neural IR models shifts towards soft semantic matching all query document terms, but they lose the computation efficiency of exact match systems. This paper presents COIL, a contextualized exact match retrieval architecture that brings semantic lexical matching. COIL scoring is based on overlapping query document tokens' contextualized representations. The new architecture stores contextualized token representations in inverted lists, bringing together the efficiency of exact match and the representation power of deep language models. Our experimental results show COIL outperforms classical lexical retrievers and state-of-the-art deep LM retrievers with similar or smaller latency."]], "0_corpus": "arxiv", "1_conv_id": "533774b5f05b4ce9a1513bb1b034d6cc", "1_model_name": "embed-english-v3.0", "1_prompt": "retrieval system that uses an inverted index with lexically matched dense token embeddings", "1_output": [["retrieval system that uses an inverted index with lexically matched dense token embeddings", "Title: Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations\n\nAbstract: Learned sparse representations form an attractive class of contextual embeddings for text retrieval. That is so because they are effective models of relevance and are interpretable by design. Despite their apparent compatibility with inverted indexes, however, retrieval over sparse embeddings remains challenging. That is due to the distributional differences between learned embeddings and term frequency-based lexical models of relevance such as BM25. Recognizing this challenge, a great deal of research has gone into, among other things, designing retrieval algorithms tailored to the properties of learned sparse representations, including approximate retrieval systems. In fact, this task featured prominently in the latest BigANN Challenge at NeurIPS 2023, where approximate algorithms were evaluated on a large benchmark dataset by throughput and recall. In this work, we propose a novel organization of the inverted index that enables fast yet effective approximate retrieval over learned sparse embeddings. Our approach organizes inverted lists into geometrically-cohesive blocks, each equipped with a summary vector. During query processing, we quickly determine if a block must be evaluated using the summaries. As we show experimentally, single-threaded query processing using our method, Seismic, reaches sub-millisecond per-query latency on various sparse embeddings of the MS MARCO dataset while maintaining high recall. Our results indicate that Seismic is one to two orders of magnitude faster than state-of-the-art inverted index-based solutions and further outperforms the winning (graph-based) submissions to the BigANN Challenge by a significant margin."]], "1_corpus": "arxiv"}
 {"tstamp": 1722330702.3173, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "46b6675f1fc1409db4ccac33e39d2053", "0_model_name": "Salesforce/SFR-Embedding-2_R", "0_prompt": "What are gyros sandwiches commonly called in Berlin", "0_output": [["What are gyros sandwiches commonly called in Berlin", "Gyros\n\nGyros, sometimes anglicized as a gyro (; , ) in some regions, is meat cooked on a vertical rotisserie, then sliced and served wrapped or stuffed in pita bread, along with other ingredients such as tomato, onion, fried potatoes, and tzatziki. In Greece, it is normally made with pork or sometimes with chicken, whilst beef and lamb are also used in other countries.\nName\nThe name comes from the Greek  (, 'circle' or 'turn'). It is a calque of the Turkish , from , also meaning \"turn\".\nIn Athens and other parts of southern Greece, the skewered meat dish elsewhere called souvlaki is known as kalamaki, while souvlaki is a term used generally for gyros, and similar dishes.\nIn Greek, \"gyros\" is a nominative singular noun, but the final 's' is often interpreted in English usage as plural, leading to the singular back-formation \"gyro\". The Greek pronunciation is , though some English speakers pronounce it .\nSimilar dishes\nGyros is made in a similar manner to other dishes such as the Arab shawarma, Canadian donair, Mexican al pastor, and the Turkish döner kebab."]], "0_corpus": "wikipedia", "1_conv_id": "c551a862edc9498984544ee6c52b863e", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "What are gyros sandwiches commonly called in Berlin", "1_output": [["What are gyros sandwiches commonly called in Berlin", "Berlin\n\nBerlin is the capital and largest city of Germany, both by area and by population. Its more than 3.85 million inhabitants make it the European Union's most populous city, as measured by population within city limits having gained this status after the United Kingdom's, and thus London's, departure from the European Union. Simultaneously, the city is one of the states of Germany, and is the third smallest state in the country in terms of area. Berlin is surrounded by the state of Brandenburg, and Brandenburg's capital Potsdam is nearby. The urban area of Berlin has a population of over 4.5 million and is therefore the most populous urban area in Germany. The Berlin-Brandenburg capital region has around 6.2 million inhabitants and is Germany's second-largest metropolitan region after the Rhine-Ruhr region, and the sixth-biggest metropolitan region by GDP in the European Union.\nBerlin was built along the banks of the Spree river, which flows into the Havel in the western borough of Spandau. The city incorporates lakes in the western and southeastern boroughs, the largest of which is Müggelsee. About one-third of the city's area is composed of forests, parks and gardens, rivers, canals, and lakes."]], "1_corpus": "wikipedia"}
+{"tstamp": 1722330736.1828, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "004df53316f44ed484e7cb2752ed51d7", "0_model_name": "jinaai/jina-embeddings-v2-base-en", "0_prompt": "Who was the most recent ACM turing award winner?", "0_output": [["Who was the most recent ACM turing award winner?", "Turing Award\n\nThe ACM A. M. Turing Award is an annual prize given by the Association for Computing Machinery (ACM) for contributions of lasting and major technical importance to computer science. It is generally recognized as the highest distinction in  the field of computer science and is often referred to as the \"Nobel Prize of Computing\".\nThe award is named after Alan Turing, who was a British mathematician and reader in mathematics at the University of Manchester. Turing is often credited as being the founder of theoretical computer science and artificial intelligence, and a key contributor to the Allied cryptanalysis of the Enigma cipher during World War II.\nFrom 2007 to 2013, the award was accompanied by a prize of , with financial support provided by Intel and Google. Since 2014, the award has been accompanied by a prize of  million, with financial support provided by Google.\nThe first recipient, in 1966, was Alan Perlis, of Carnegie Mellon University. The youngest recipient was Donald Knuth who won in 1974, at the age of 36, while the oldest recipient was Alfred Aho who won in 2020, at the age of 79. Only three women have been awarded the prize: Frances Allen (in 2006), Barbara Liskov (in 2008), and Shafi Goldwasser (in 2012). As of 2024, 77 people have been awarded the prize, with the most recent recipient, in 2023, being Avi Wigderson."]], "0_corpus": "wikipedia", "1_conv_id": "65495c27f0584d28bdff79babacc3d0f", "1_model_name": "nomic-ai/nomic-embed-text-v1.5", "1_prompt": "Who was the most recent ACM turing award winner?", "1_output": [["Who was the most recent ACM turing award winner?", "Turing Award\n\nThe ACM A. M. Turing Award is an annual prize given by the Association for Computing Machinery (ACM) for contributions of lasting and major technical importance to computer science. It is generally recognized as the highest distinction in  the field of computer science and is often referred to as the \"Nobel Prize of Computing\".\nThe award is named after Alan Turing, who was a British mathematician and reader in mathematics at the University of Manchester. Turing is often credited as being the founder of theoretical computer science and artificial intelligence, and a key contributor to the Allied cryptanalysis of the Enigma cipher during World War II.\nFrom 2007 to 2013, the award was accompanied by a prize of , with financial support provided by Intel and Google. Since 2014, the award has been accompanied by a prize of  million, with financial support provided by Google.\nThe first recipient, in 1966, was Alan Perlis, of Carnegie Mellon University. The youngest recipient was Donald Knuth who won in 1974, at the age of 36, while the oldest recipient was Alfred Aho who won in 2020, at the age of 79. Only three women have been awarded the prize: Frances Allen (in 2006), Barbara Liskov (in 2008), and Shafi Goldwasser (in 2012). As of 2024, 77 people have been awarded the prize, with the most recent recipient, in 2023, being Avi Wigderson."]], "1_corpus": "wikipedia"}
+{"tstamp": 1722330775.1697, "task_type": "retrieval", "type": "tievote", "models": ["", ""], "ip": "", "0_conv_id": "59cc1b2ba6eb4aff96b5e26e541527eb", "0_model_name": "text-embedding-004", "0_prompt": "Which presidents were not religious?", "0_output": [["Which presidents were not religious?", "Religious affiliations of presidents of the United States\n\nReligious affiliations can affect the electability of the presidents of the United States and shape their stances on policy matters and their visions of society and also how they want to lead it. While no president has ever openly identified as an atheist, Thomas Jefferson, Abraham Lincoln, and William Howard Taft were speculated to be atheists by their opponents during political campaigns; in addition, a survey during the presidency of Donald Trump showed that 63% of Americans did not believe he was religious, despite his professed Christian affiliation. Trump supporters have also circulated conspiracy theories that Barack Obama is a Muslim. Conversely, other presidents, such as Jimmy Carter, have used their faith as a defining aspect of their campaigns and tenure in office.\nAlmost all of the presidents can be characterized as Christians, at least by upbringing, though some were unaffiliated with any specific religious body. Mainline Protestants predominate, with Episcopalians and Presbyterians being the most prevalent. John F. Kennedy was the first Catholic president and Joe Biden, the incumbent president, is the second."]], "0_corpus": "wikipedia", "1_conv_id": "1d325ed419a64c0a8ac7ccc189092629", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "Which presidents were not religious?", "1_output": [["Which presidents were not religious?", "Religious affiliations of presidents of the United States\n\nReligious affiliations can affect the electability of the presidents of the United States and shape their stances on policy matters and their visions of society and also how they want to lead it. While no president has ever openly identified as an atheist, Thomas Jefferson, Abraham Lincoln, and William Howard Taft were speculated to be atheists by their opponents during political campaigns; in addition, a survey during the presidency of Donald Trump showed that 63% of Americans did not believe he was religious, despite his professed Christian affiliation. Trump supporters have also circulated conspiracy theories that Barack Obama is a Muslim. Conversely, other presidents, such as Jimmy Carter, have used their faith as a defining aspect of their campaigns and tenure in office.\nAlmost all of the presidents can be characterized as Christians, at least by upbringing, though some were unaffiliated with any specific religious body. Mainline Protestants predominate, with Episcopalians and Presbyterians being the most prevalent. John F. Kennedy was the first Catholic president and Joe Biden, the incumbent president, is the second."]], "1_corpus": "wikipedia"}
+{"tstamp": 1722330827.7238, "task_type": "retrieval", "type": "leftvote", "models": ["", ""], "ip": "", "0_conv_id": "5e344846ff64426d805b30702aef5bb5", "0_model_name": "embed-english-v3.0", "0_prompt": "Who is the youngest spaniard to win a grand slam?", "0_output": [["Who is the youngest spaniard to win a grand slam?", "Tennis in Spain\n\nRafael Nadal is regarded as the greatest Spanish player of all time. He has won 22 Grand Slam men's singles titles, the second-most in tennis history. He has won the French Open a record 14 times, between 2005 and 2022. After defeating then-world No. 1 Roger Federer in 2008, Nadal claimed the Wimbledon title in a historic final, having won the tournament twice thus far. In 2009, he became the first Spaniard to win the Australian Open, a feat he repeated at the 2022 Australian Open. After defeating Novak Djokovic in the 2010 US Open final, he became the first man in history to win majors on clay, grass, and hard courts in a calendar year (Surface Slam), and the first Spaniard to complete a Career Grand Slam, which he has achieved twice in singles (one of four men in history to do so). In addition, Nadal is one of two men to achieve the Career Golden Slam in singles and a two-time Olympic gold medalist, winning the singles event at the 2008 Beijing Olympics and the doubles event at the 2016 Rio Olympics.\nSpain has produced several other world No. 1 players; Arantxa Sánchez Vicario (a 3-time French Open champion in 1989, 1994 and 1998, and 1994 US Open champion), Carlos Moyá (1998 French Open champion), Juan Carlos Ferrero (2003 French Open champion), Garbiñe Muguruza (2016 French Open and 2017 Wimbledon champion) and Carlos Alcaraz (2022 US Open and 2023 Wimbledon champion).\nOther Grand Slam champions are Manuel Santana (1961 and 1964 French Open, 1966 Wimbledon and 1965 US Open champion), Sergi Bruguera (1993 and 1994 French Open champion), Andrés Gimeno (1972 French Open champion), Manuel Orantes (1975 US Open champion), Conchita Martínez (1994 Wimbledon champion), and Albert Costa (2002 French Open champion).\nTournaments held in Spain on the men's tour every year include the Madrid Masters, Barcelona, and Mallorca. Madrid Masters is also contested by women in the WTA Tour.\nList of Spanish tennis players (Open Era only)\nOnly includes players ranked in the top 50. Bold names indicate currently active players.\nMen\nWomen\nGrand Slam performances of Spanish tennis players\nOnly includes players who have reached at least a Grand Slam quarterfinal"]], "0_corpus": "wikipedia", "1_conv_id": "8792c6fdadff4227bf787fecd15756c8", "1_model_name": "BAAI/bge-large-en-v1.5", "1_prompt": "Who is the youngest spaniard to win a grand slam?", "1_output": [["Who is the youngest spaniard to win a grand slam?", "Rebeka Masarova\n\nRebeka Masarova (, ; born 6 August 1999) is a Swiss-born Spanish professional tennis player. She has career-high WTA rankings of 62 in singles and 125 in doubles.\nThe 2016 French Open junior champion started representing Spain in January 2018.\nPersonal life\nMasarova's mother is Spanish and her father is Slovak. Born in Basel, hometown of Roger Federer, she was inspired to start playing tennis from watching Federer play in his first Wimbledon final in 2003.\nJunior career\nGrand Slam performance\nSingles:\nAustralian Open: F (2017)\nFrench Open: W (2016)\nWimbledon: 3R (2016)"]], "1_corpus": "wikipedia"}
+{"tstamp": 1722330893.3102, "task_type": "retrieval", "type": "bothbadvote", "models": ["", ""], "ip": "", "0_conv_id": "9a6969ae4a494bb09669934f54d684bb", "0_model_name": "nomic-ai/nomic-embed-text-v1.5", "0_prompt": "What is it called when you put fiberglass mesh over a hole in drywall?", "0_output": [["What is it called when you put fiberglass mesh over a hole in drywall?", "Drywall\n\nDrywall's paper facings are edible to termites, which can eat the paper if they infest a wall cavity covered with drywall. This causes the painted surface to crumble to the touch, its paper backing material being eaten. In addition to the necessity of patching the damaged surface and repainting, if enough of the paper has been eaten, the gypsum core can easily crack or crumble without it, and the drywall must be removed and replaced.\nIn many circumstances, especially when the drywall has been exposed to water or moisture for less than 48 hours, professional restoration experts can avoid the cost, inconvenience, and difficulty of removing and replacing the affected drywall. They use rapid drying techniques that eliminate the elements required to support microbial activity while restoring most or all of the drywall.\nIt is for these reasons that greenboard, a type of drywall with an outer face that is wax- and/or chemically coated to resist mold growth, and ideally cement board are used for rooms expected to have high humidity, primarily kitchens, bathrooms, and laundry rooms.\nOther damage\nFoam insulation and the gypsum part of sheetrock are easily chewed out by honeybees when they are setting up a stray nest in a building, and they want to enlarge their nest area.\nHigh-sulfur drywall illness and corrosion issues"]], "0_corpus": "wikipedia", "1_conv_id": "ac0eea2fe2734066bb273c7af929fc57", "1_model_name": "mixedbread-ai/mxbai-embed-large-v1", "1_prompt": "What is it called when you put fiberglass mesh over a hole in drywall?", "1_output": [["What is it called when you put fiberglass mesh over a hole in drywall?", "Fiberglass\n\nFiberglass is also used in the telecommunications industry for shrouding antennas, due to its RF permeability and low signal attenuation properties. It may also be used to conceal other equipment where no signal permeability is required, such as equipment cabinets and steel support structures, due to the ease with which it can be molded and painted to blend with existing structures and surfaces. Other uses include sheet-form electrical insulators and structural components commonly found in power-industry products. Because of fiberglass's lightweight and durability, it is often used in protective equipment such as helmets. Many sports use fiberglass protective gear, such as goaltenders' and catchers' masks.\nStorage tanks\nStorage tanks can be made of fiberglass with capacities up to about 300 tonnes. Smaller tanks can be made with chopped strand mat cast over a thermoplastic inner tank which acts as a preform during construction. Much more reliable tanks are made using woven mat or filament wound fiber, with the fiber orientation at right angles to the hoop stress imposed in the sidewall by the contents. Such tanks tend to be used for chemical storage because the plastic liner (often polypropylene) is resistant to a wide range of corrosive chemicals. Fiberglass is also used for septic tanks.\nHouse building\nGlass-reinforced plastics are also used to produce house building components such as roofing laminate, door surrounds, over-door canopies, window canopies and dormers, chimneys, coping systems, and heads with keystones and sills. The material's reduced weight and easier handling, compared to wood or metal, allows faster installation. Mass-produced fiberglass brick-effect panels can be used in the construction of composite housing, and can include insulation to reduce heat loss.\nOil and gas artificial lift systems"]], "1_corpus": "wikipedia"}

data/retrieval_individual-cc11c9ee-fc93-4cd6-a4b5-246a7f21038c.jsonl CHANGED Viewed

@@ -72,3 +72,11 @@
 {"tstamp": 1722330681.8431, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722330681.5247, "finish": 1722330681.8431, "ip": "", "conv_id": "c551a862edc9498984544ee6c52b863e", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "What are gyros sandwiches commonly called in Berlin", "output": [["What are gyros sandwiches commonly called in Berlin", "Berlin\n\nBerlin is the capital and largest city of Germany, both by area and by population. Its more than 3.85 million inhabitants make it the European Union's most populous city, as measured by population within city limits having gained this status after the United Kingdom's, and thus London's, departure from the European Union. Simultaneously, the city is one of the states of Germany, and is the third smallest state in the country in terms of area. Berlin is surrounded by the state of Brandenburg, and Brandenburg's capital Potsdam is nearby. The urban area of Berlin has a population of over 4.5 million and is therefore the most populous urban area in Germany. The Berlin-Brandenburg capital region has around 6.2 million inhabitants and is Germany's second-largest metropolitan region after the Rhine-Ruhr region, and the sixth-biggest metropolitan region by GDP in the European Union.\nBerlin was built along the banks of the Spree river, which flows into the Havel in the western borough of Spandau. The city incorporates lakes in the western and southeastern boroughs, the largest of which is Müggelsee. About one-third of the city's area is composed of forests, parks and gardens, rivers, canals, and lakes."]], "corpus": "wikipedia"}
 {"tstamp": 1722330729.6076, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722330729.4064, "finish": 1722330729.6076, "ip": "", "conv_id": "004df53316f44ed484e7cb2752ed51d7", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "Who was the most recent ACM turing award winner?", "output": [["Who was the most recent ACM turing award winner?", "Turing Award\n\nThe ACM A. M. Turing Award is an annual prize given by the Association for Computing Machinery (ACM) for contributions of lasting and major technical importance to computer science. It is generally recognized as the highest distinction in  the field of computer science and is often referred to as the \"Nobel Prize of Computing\".\nThe award is named after Alan Turing, who was a British mathematician and reader in mathematics at the University of Manchester. Turing is often credited as being the founder of theoretical computer science and artificial intelligence, and a key contributor to the Allied cryptanalysis of the Enigma cipher during World War II.\nFrom 2007 to 2013, the award was accompanied by a prize of , with financial support provided by Intel and Google. Since 2014, the award has been accompanied by a prize of  million, with financial support provided by Google.\nThe first recipient, in 1966, was Alan Perlis, of Carnegie Mellon University. The youngest recipient was Donald Knuth who won in 1974, at the age of 36, while the oldest recipient was Alfred Aho who won in 2020, at the age of 79. Only three women have been awarded the prize: Frances Allen (in 2006), Barbara Liskov (in 2008), and Shafi Goldwasser (in 2012). As of 2024, 77 people have been awarded the prize, with the most recent recipient, in 2023, being Avi Wigderson."]], "corpus": "wikipedia"}
 {"tstamp": 1722330729.6076, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722330729.4064, "finish": 1722330729.6076, "ip": "", "conv_id": "65495c27f0584d28bdff79babacc3d0f", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "Who was the most recent ACM turing award winner?", "output": [["Who was the most recent ACM turing award winner?", "Turing Award\n\nThe ACM A. M. Turing Award is an annual prize given by the Association for Computing Machinery (ACM) for contributions of lasting and major technical importance to computer science. It is generally recognized as the highest distinction in  the field of computer science and is often referred to as the \"Nobel Prize of Computing\".\nThe award is named after Alan Turing, who was a British mathematician and reader in mathematics at the University of Manchester. Turing is often credited as being the founder of theoretical computer science and artificial intelligence, and a key contributor to the Allied cryptanalysis of the Enigma cipher during World War II.\nFrom 2007 to 2013, the award was accompanied by a prize of , with financial support provided by Intel and Google. Since 2014, the award has been accompanied by a prize of  million, with financial support provided by Google.\nThe first recipient, in 1966, was Alan Perlis, of Carnegie Mellon University. The youngest recipient was Donald Knuth who won in 1974, at the age of 36, while the oldest recipient was Alfred Aho who won in 2020, at the age of 79. Only three women have been awarded the prize: Frances Allen (in 2006), Barbara Liskov (in 2008), and Shafi Goldwasser (in 2012). As of 2024, 77 people have been awarded the prize, with the most recent recipient, in 2023, being Avi Wigderson."]], "corpus": "wikipedia"}

 {"tstamp": 1722330681.8431, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722330681.5247, "finish": 1722330681.8431, "ip": "", "conv_id": "c551a862edc9498984544ee6c52b863e", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "What are gyros sandwiches commonly called in Berlin", "output": [["What are gyros sandwiches commonly called in Berlin", "Berlin\n\nBerlin is the capital and largest city of Germany, both by area and by population. Its more than 3.85 million inhabitants make it the European Union's most populous city, as measured by population within city limits having gained this status after the United Kingdom's, and thus London's, departure from the European Union. Simultaneously, the city is one of the states of Germany, and is the third smallest state in the country in terms of area. Berlin is surrounded by the state of Brandenburg, and Brandenburg's capital Potsdam is nearby. The urban area of Berlin has a population of over 4.5 million and is therefore the most populous urban area in Germany. The Berlin-Brandenburg capital region has around 6.2 million inhabitants and is Germany's second-largest metropolitan region after the Rhine-Ruhr region, and the sixth-biggest metropolitan region by GDP in the European Union.\nBerlin was built along the banks of the Spree river, which flows into the Havel in the western borough of Spandau. The city incorporates lakes in the western and southeastern boroughs, the largest of which is Müggelsee. About one-third of the city's area is composed of forests, parks and gardens, rivers, canals, and lakes."]], "corpus": "wikipedia"}
 {"tstamp": 1722330729.6076, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1722330729.4064, "finish": 1722330729.6076, "ip": "", "conv_id": "004df53316f44ed484e7cb2752ed51d7", "model_name": "jinaai/jina-embeddings-v2-base-en", "prompt": "Who was the most recent ACM turing award winner?", "output": [["Who was the most recent ACM turing award winner?", "Turing Award\n\nThe ACM A. M. Turing Award is an annual prize given by the Association for Computing Machinery (ACM) for contributions of lasting and major technical importance to computer science. It is generally recognized as the highest distinction in  the field of computer science and is often referred to as the \"Nobel Prize of Computing\".\nThe award is named after Alan Turing, who was a British mathematician and reader in mathematics at the University of Manchester. Turing is often credited as being the founder of theoretical computer science and artificial intelligence, and a key contributor to the Allied cryptanalysis of the Enigma cipher during World War II.\nFrom 2007 to 2013, the award was accompanied by a prize of , with financial support provided by Intel and Google. Since 2014, the award has been accompanied by a prize of  million, with financial support provided by Google.\nThe first recipient, in 1966, was Alan Perlis, of Carnegie Mellon University. The youngest recipient was Donald Knuth who won in 1974, at the age of 36, while the oldest recipient was Alfred Aho who won in 2020, at the age of 79. Only three women have been awarded the prize: Frances Allen (in 2006), Barbara Liskov (in 2008), and Shafi Goldwasser (in 2012). As of 2024, 77 people have been awarded the prize, with the most recent recipient, in 2023, being Avi Wigderson."]], "corpus": "wikipedia"}
 {"tstamp": 1722330729.6076, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722330729.4064, "finish": 1722330729.6076, "ip": "", "conv_id": "65495c27f0584d28bdff79babacc3d0f", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "Who was the most recent ACM turing award winner?", "output": [["Who was the most recent ACM turing award winner?", "Turing Award\n\nThe ACM A. M. Turing Award is an annual prize given by the Association for Computing Machinery (ACM) for contributions of lasting and major technical importance to computer science. It is generally recognized as the highest distinction in  the field of computer science and is often referred to as the \"Nobel Prize of Computing\".\nThe award is named after Alan Turing, who was a British mathematician and reader in mathematics at the University of Manchester. Turing is often credited as being the founder of theoretical computer science and artificial intelligence, and a key contributor to the Allied cryptanalysis of the Enigma cipher during World War II.\nFrom 2007 to 2013, the award was accompanied by a prize of , with financial support provided by Intel and Google. Since 2014, the award has been accompanied by a prize of  million, with financial support provided by Google.\nThe first recipient, in 1966, was Alan Perlis, of Carnegie Mellon University. The youngest recipient was Donald Knuth who won in 1974, at the age of 36, while the oldest recipient was Alfred Aho who won in 2020, at the age of 79. Only three women have been awarded the prize: Frances Allen (in 2006), Barbara Liskov (in 2008), and Shafi Goldwasser (in 2012). As of 2024, 77 people have been awarded the prize, with the most recent recipient, in 2023, being Avi Wigderson."]], "corpus": "wikipedia"}
+{"tstamp": 1722330771.8676, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722330771.208, "finish": 1722330771.8676, "ip": "", "conv_id": "59cc1b2ba6eb4aff96b5e26e541527eb", "model_name": "text-embedding-004", "prompt": "Which presidents were not religious?", "output": [["Which presidents were not religious?", "Religious affiliations of presidents of the United States\n\nReligious affiliations can affect the electability of the presidents of the United States and shape their stances on policy matters and their visions of society and also how they want to lead it. While no president has ever openly identified as an atheist, Thomas Jefferson, Abraham Lincoln, and William Howard Taft were speculated to be atheists by their opponents during political campaigns; in addition, a survey during the presidency of Donald Trump showed that 63% of Americans did not believe he was religious, despite his professed Christian affiliation. Trump supporters have also circulated conspiracy theories that Barack Obama is a Muslim. Conversely, other presidents, such as Jimmy Carter, have used their faith as a defining aspect of their campaigns and tenure in office.\nAlmost all of the presidents can be characterized as Christians, at least by upbringing, though some were unaffiliated with any specific religious body. Mainline Protestants predominate, with Episcopalians and Presbyterians being the most prevalent. John F. Kennedy was the first Catholic president and Joe Biden, the incumbent president, is the second."]], "corpus": "wikipedia"}
+{"tstamp": 1722330771.8676, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722330771.208, "finish": 1722330771.8676, "ip": "", "conv_id": "1d325ed419a64c0a8ac7ccc189092629", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "Which presidents were not religious?", "output": [["Which presidents were not religious?", "Religious affiliations of presidents of the United States\n\nReligious affiliations can affect the electability of the presidents of the United States and shape their stances on policy matters and their visions of society and also how they want to lead it. While no president has ever openly identified as an atheist, Thomas Jefferson, Abraham Lincoln, and William Howard Taft were speculated to be atheists by their opponents during political campaigns; in addition, a survey during the presidency of Donald Trump showed that 63% of Americans did not believe he was religious, despite his professed Christian affiliation. Trump supporters have also circulated conspiracy theories that Barack Obama is a Muslim. Conversely, other presidents, such as Jimmy Carter, have used their faith as a defining aspect of their campaigns and tenure in office.\nAlmost all of the presidents can be characterized as Christians, at least by upbringing, though some were unaffiliated with any specific religious body. Mainline Protestants predominate, with Episcopalians and Presbyterians being the most prevalent. John F. Kennedy was the first Catholic president and Joe Biden, the incumbent president, is the second."]], "corpus": "wikipedia"}
+{"tstamp": 1722330809.8192, "task_type": "retrieval", "type": "chat", "model": "embed-english-v3.0", "gen_params": {}, "start": 1722330807.581, "finish": 1722330809.8192, "ip": "", "conv_id": "5e344846ff64426d805b30702aef5bb5", "model_name": "embed-english-v3.0", "prompt": "Who is the youngest spaniard to win a grand slam?", "output": [["Who is the youngest spaniard to win a grand slam?", "Tennis in Spain\n\nRafael Nadal is regarded as the greatest Spanish player of all time. He has won 22 Grand Slam men's singles titles, the second-most in tennis history. He has won the French Open a record 14 times, between 2005 and 2022. After defeating then-world No. 1 Roger Federer in 2008, Nadal claimed the Wimbledon title in a historic final, having won the tournament twice thus far. In 2009, he became the first Spaniard to win the Australian Open, a feat he repeated at the 2022 Australian Open. After defeating Novak Djokovic in the 2010 US Open final, he became the first man in history to win majors on clay, grass, and hard courts in a calendar year (Surface Slam), and the first Spaniard to complete a Career Grand Slam, which he has achieved twice in singles (one of four men in history to do so). In addition, Nadal is one of two men to achieve the Career Golden Slam in singles and a two-time Olympic gold medalist, winning the singles event at the 2008 Beijing Olympics and the doubles event at the 2016 Rio Olympics.\nSpain has produced several other world No. 1 players; Arantxa Sánchez Vicario (a 3-time French Open champion in 1989, 1994 and 1998, and 1994 US Open champion), Carlos Moyá (1998 French Open champion), Juan Carlos Ferrero (2003 French Open champion), Garbiñe Muguruza (2016 French Open and 2017 Wimbledon champion) and Carlos Alcaraz (2022 US Open and 2023 Wimbledon champion).\nOther Grand Slam champions are Manuel Santana (1961 and 1964 French Open, 1966 Wimbledon and 1965 US Open champion), Sergi Bruguera (1993 and 1994 French Open champion), Andrés Gimeno (1972 French Open champion), Manuel Orantes (1975 US Open champion), Conchita Martínez (1994 Wimbledon champion), and Albert Costa (2002 French Open champion).\nTournaments held in Spain on the men's tour every year include the Madrid Masters, Barcelona, and Mallorca. Madrid Masters is also contested by women in the WTA Tour.\nList of Spanish tennis players (Open Era only)\nOnly includes players ranked in the top 50. Bold names indicate currently active players.\nMen\nWomen\nGrand Slam performances of Spanish tennis players\nOnly includes players who have reached at least a Grand Slam quarterfinal"]], "corpus": "wikipedia"}
+{"tstamp": 1722330809.8192, "task_type": "retrieval", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1722330807.581, "finish": 1722330809.8192, "ip": "", "conv_id": "8792c6fdadff4227bf787fecd15756c8", "model_name": "BAAI/bge-large-en-v1.5", "prompt": "Who is the youngest spaniard to win a grand slam?", "output": [["Who is the youngest spaniard to win a grand slam?", "Rebeka Masarova\n\nRebeka Masarova (, ; born 6 August 1999) is a Swiss-born Spanish professional tennis player. She has career-high WTA rankings of 62 in singles and 125 in doubles.\nThe 2016 French Open junior champion started representing Spain in January 2018.\nPersonal life\nMasarova's mother is Spanish and her father is Slovak. Born in Basel, hometown of Roger Federer, she was inspired to start playing tennis from watching Federer play in his first Wimbledon final in 2003.\nJunior career\nGrand Slam performance\nSingles:\nAustralian Open: F (2017)\nFrench Open: W (2016)\nWimbledon: 3R (2016)"]], "corpus": "wikipedia"}
+{"tstamp": 1722330884.828, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722330884.6901, "finish": 1722330884.828, "ip": "", "conv_id": "9a6969ae4a494bb09669934f54d684bb", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "What is it called when you put fiberglass mesh over a hole in drywall?", "output": [["What is it called when you put fiberglass mesh over a hole in drywall?", "Drywall\n\nDrywall's paper facings are edible to termites, which can eat the paper if they infest a wall cavity covered with drywall. This causes the painted surface to crumble to the touch, its paper backing material being eaten. In addition to the necessity of patching the damaged surface and repainting, if enough of the paper has been eaten, the gypsum core can easily crack or crumble without it, and the drywall must be removed and replaced.\nIn many circumstances, especially when the drywall has been exposed to water or moisture for less than 48 hours, professional restoration experts can avoid the cost, inconvenience, and difficulty of removing and replacing the affected drywall. They use rapid drying techniques that eliminate the elements required to support microbial activity while restoring most or all of the drywall.\nIt is for these reasons that greenboard, a type of drywall with an outer face that is wax- and/or chemically coated to resist mold growth, and ideally cement board are used for rooms expected to have high humidity, primarily kitchens, bathrooms, and laundry rooms.\nOther damage\nFoam insulation and the gypsum part of sheetrock are easily chewed out by honeybees when they are setting up a stray nest in a building, and they want to enlarge their nest area.\nHigh-sulfur drywall illness and corrosion issues"]], "corpus": "wikipedia"}
+{"tstamp": 1722330884.828, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1722330884.6901, "finish": 1722330884.828, "ip": "", "conv_id": "ac0eea2fe2734066bb273c7af929fc57", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "What is it called when you put fiberglass mesh over a hole in drywall?", "output": [["What is it called when you put fiberglass mesh over a hole in drywall?", "Fiberglass\n\nFiberglass is also used in the telecommunications industry for shrouding antennas, due to its RF permeability and low signal attenuation properties. It may also be used to conceal other equipment where no signal permeability is required, such as equipment cabinets and steel support structures, due to the ease with which it can be molded and painted to blend with existing structures and surfaces. Other uses include sheet-form electrical insulators and structural components commonly found in power-industry products. Because of fiberglass's lightweight and durability, it is often used in protective equipment such as helmets. Many sports use fiberglass protective gear, such as goaltenders' and catchers' masks.\nStorage tanks\nStorage tanks can be made of fiberglass with capacities up to about 300 tonnes. Smaller tanks can be made with chopped strand mat cast over a thermoplastic inner tank which acts as a preform during construction. Much more reliable tanks are made using woven mat or filament wound fiber, with the fiber orientation at right angles to the hoop stress imposed in the sidewall by the contents. Such tanks tend to be used for chemical storage because the plastic liner (often polypropylene) is resistant to a wide range of corrosive chemicals. Fiberglass is also used for septic tanks.\nHouse building\nGlass-reinforced plastics are also used to produce house building components such as roofing laminate, door surrounds, over-door canopies, window canopies and dormers, chimneys, coping systems, and heads with keystones and sills. The material's reduced weight and easier handling, compared to wood or metal, allows faster installation. Mass-produced fiberglass brick-effect panels can be used in the construction of composite housing, and can include insulation to reduce heat loss.\nOil and gas artificial lift systems"]], "corpus": "wikipedia"}
+{"tstamp": 1722330962.5465, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722330961.8844, "finish": 1722330962.5465, "ip": "", "conv_id": "35d44656ae304532aa9f1a3885b87cee", "model_name": "text-embedding-004", "prompt": "What video game genre is based on platforming, new item/skill unlocks allowing new mobility and backtracking", "output": [["What video game genre is based on platforming, new item/skill unlocks allowing new mobility and backtracking", "Platformer\n\nA platformer (also called a platform game, and sometimes a jump 'n' run game) is a sub-genre of action video games in which the core objective is to move the player character between points in an environment. Platform games are characterized by levels with uneven terrain and suspended platforms of varying height that require jumping and climbing to traverse. Other acrobatic maneuvers may factor into the gameplay, such as swinging from vines or grappling hooks, jumping off walls, gliding through the air, or bouncing from springboards or trampolines."]], "corpus": "wikipedia"}
+{"tstamp": 1722330962.5465, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722330961.8844, "finish": 1722330962.5465, "ip": "", "conv_id": "f59e38ca09de43bfaab0c48326ab5253", "model_name": "GritLM/GritLM-7B", "prompt": "What video game genre is based on platforming, new item/skill unlocks allowing new mobility and backtracking", "output": [["What video game genre is based on platforming, new item/skill unlocks allowing new mobility and backtracking", "Metroidvania\n\nGameplay concepts The term 'Metroidvania' is most often used to refer to a platforming game that features a single large, interconnected map, generally with discrete rooms or sections. Not all areas of this map are available at the start, often requiring the player to obtain an item (such as a weapon or key) or a new character ability to remove some obstacle blocking the path forward. Often, this item is protected by a boss character, providing story-driven challenges throughout the game. Maps are non-linear, and often require the player to traverse the map multiple times during the course of the game. Weaker monsters will inhabit other parts of the level, re-spawning when the player revisits those rooms, and often can be defeated to gain health, ammunition, or experience points.\nLarger games generally feature save points as well as the ability to transport the player quickly between certain rooms on far sides of the map, eliminating tedious backtracking in the later parts of the game. Access to new abilities can also open up shortcuts that reduce travel time, as well as discover secrets that help to improve the character's abilities. For example, gaining access to double jump or wall jump abilities can give players more mobility, while obtaining the ability to transform into a smaller object can let the player slip through narrow corridors. As such, the genre focuses on exploration of a large world map, and advancement of the player-character abilities over time. Metroidvanias are sometimes referred to as \"platform adventure games\" due to this scope."]], "corpus": "wikipedia"}