Scheduled Commit

data/clustering_individual-a1f9e5e7-e4fc-4780-ab0e-fe41defd9698.jsonl

@@ -12,3 +12,5 @@
 {"tstamp": 1724794229.368, "task_type": "clustering", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1724794229.2828, "finish": 1724794229.368, "ip": "", "conv_id": "7d492e7564874d69bc629b63cda7d485", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": ["bioelectricity", "chem"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 {"tstamp": 1724794234.5283, "task_type": "clustering", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1724794234.445, "finish": 1724794234.5283, "ip": "", "conv_id": "909f678cde054e60bde9d11d874f6b1f", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": ["bioelectricity", "chem", "phys"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
 {"tstamp": 1724794234.5283, "task_type": "clustering", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1724794234.445, "finish": 1724794234.5283, "ip": "", "conv_id": "7d492e7564874d69bc629b63cda7d485", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": ["bioelectricity", "chem", "phys"], "ncluster": 1, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1724811655.9607, "task_type": "clustering", "type": "chat", "model": "BAAI/bge-large-en-v1.5", "gen_params": {}, "start": 1724811655.8669, "finish": 1724811655.9607, "ip": "", "conv_id": "06b09d9f72c14d209c5f70139cded419", "model_name": "BAAI/bge-large-en-v1.5", "prompt": ["It's official! 1 Bitcoin = $10,000 USD", "Everyone who's trading BTC right now", "Age reversal not only achievable but also possibly imminent: Retro Biosciences", "MicroRNA regrows 90% of lost hair, study finds", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}
+{"tstamp": 1724811655.9607, "task_type": "clustering", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1724811655.8669, "finish": 1724811655.9607, "ip": "", "conv_id": "e02c57849e8e4d55882add243cb34d49", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": ["It's official! 1 Bitcoin = $10,000 USD", "Everyone who's trading BTC right now", "Age reversal not only achievable but also possibly imminent: Retro Biosciences", "MicroRNA regrows 90% of lost hair, study finds", "Speech-to-speech translation for a real-world unwritten language", "Seeking the Best Embedding Model: Experiences with the MTEB Arena?"], "ncluster": 3, "output": "", "ndim": "3D (press for 2D)", "dim_method": "PCA", "clustering_method": "KMeans"}

data/retrieval_individual-a1f9e5e7-e4fc-4780-ab0e-fe41defd9698.jsonl

@@ -198,3 +198,5 @@
 {"tstamp": 1724807509.9854, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1724807507.8217, "finish": 1724807509.9854, "ip": "", "conv_id": "a0daf34960bd42afbea6fccef98526e4", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "hello world.", "output": [["hello world.", "Hello World\n\nHello World may refer to:\n\"Hello, World!\" program, a computer program that outputs or displays the message \"Hello, World!\"\nMusic\n\"Hello World!\" (composition), song by the Iamus computer\n\"Hello World\" (Tremeloes song), 1969\n\"Hello World\" (Lady Antebellum song), 2010\n\"Hello World\", a song by Nik Kershaw from the album To Be Frank\n\"Hello, World!\", a 2015 song by Bump of Chicken\n\"Hello World\", a 2015 song by Ginny Blackmore\n\"Hello World\", a song by Belle Perez\n\"Hello, World!\", a 2018 song by Vocaloid producer YZYX featuring Hatsune Miku\n\"Hello World\", a 2022 song by Alan Walker featuring Torine\n\"Hello World\", a 2024 song by LiSA\nAlbums\nHello World, 2011 album by Back-On\nHello World (Information Society album), 2014\nHello World (Scandal album), 2014\nHello, World! (EP), 2022 EP by Xdinary Heroes\nHello World: The Motown Solo Collection, compilation album by Michael Jackson\nOther uses\nHelloworld Travel, an Australian-based travel agency\nHelloworld (TV program), an Australian travel and lifestyle television program\nHello World (film), a 2019 Japanese animated film\nHello World (Web Series), a 2022 Telugu TV Series\nHello World: How to Be Human in the Age of the Machine, a book by Hannah Fry"]], "corpus": "wikipedia"}
 {"tstamp": 1724808060.2596, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1724808057.9492, "finish": 1724808060.2596, "ip": "", "conv_id": "9ff51529efdb4764aef920737e42c4b5", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "what are the biggest companies?", "output": [["what are the biggest companies?", "List of largest companies by revenue\n\nThis list comprises the world's largest companies by consolidated revenue, according to the Fortune Global 500 2023 rankings and other sources. American retail corporation Walmart has been the world's largest company by revenue since 2014.\nThe list is limited to the largest 50 companies, all of which have annual revenues exceeding US$130 billion. This list is incomplete, as not all companies disclose their information to the media and/or general public.\nOut of 50 largest companies 20 are American, 19 Asian and 11 European.\nList\nInformation in the list relates to the most recent fiscal year (mostly FY 2022 or 2023)."]], "corpus": "wikipedia"}
 {"tstamp": 1724808060.2596, "task_type": "retrieval", "type": "chat", "model": "mixedbread-ai/mxbai-embed-large-v1", "gen_params": {}, "start": 1724808057.9492, "finish": 1724808060.2596, "ip": "", "conv_id": "3c5dd1e5aa534d118de0fe756e3be0cc", "model_name": "mixedbread-ai/mxbai-embed-large-v1", "prompt": "what are the biggest companies?", "output": [["what are the biggest companies?", "Big Tech\n\nBig Tech, also known as the Tech Giants or Tech Titans, are the largest IT companies in the world. The concept of Big Tech is similar to the grouping of dominant companies in other sectors. It generally includes the Big Five tech companies in the United States: Alphabet (parent of Google), Amazon, Apple, Meta, and Microsoft. It can also include tech companies with high valuations, such as Netflix and Nvidia, or companies outside the IT sector, such as Tesla. Groupings of these companies include the Big Four (Alphabet, Amazon, Apple, Meta), Big Five (Alphabet, Amazon, Apple, Meta, Microsoft), and Magnificent Seven (Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, Tesla). Big Tech can also include Chinese companies such as Baidu, Alibaba, Tencent, and Xiaomi."]], "corpus": "wikipedia"}
+{"tstamp": 1724811637.5278, "task_type": "retrieval", "type": "chat", "model": "jinaai/jina-embeddings-v2-base-en", "gen_params": {}, "start": 1724811635.3769, "finish": 1724811637.5278, "ip": "", "conv_id": "eff766fcf6e34463ba3f0613bacb4498", "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": 1724811637.5278, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1724811635.3769, "finish": 1724811637.5278, "ip": "", "conv_id": "22bf22080da24c80b0c56f0297ad8080", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "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: The classical double copy of non-singular black holes\n\nAbstract: We apply the classical double copy procedure to a class of regular, non-singular black hole solutions. We give several examples, paying particular attention to a string-theory-corrected black hole solution emerging from T-duality. Non-perturbative stringy corrections introduce an ultraviolet (UV) zero-point length cutoff which results in non-singular black hole spacetimes. Apart from the UV regulator, the solution is equivalent to the Bardeen black hole spacetime. We extend this solution to include an asymptotic de Sitter background. All Yang-Mills field theory quantities associated with the double copy are well-behaved and finite for all values of parameters. We present a thorough analysis of the black hole horizon structure, additionally uncovering a simple yet new connection between horizons on the gravity side and electric fields on the gauge theory side of the double copy."]], "corpus": "arxiv"}