Scheduled Commit

data/retrieval_individual-1948e9c4-e613-4487-b12e-0e988013b994.jsonl

@@ -118,3 +118,5 @@
 {"tstamp": 1722649159.032, "task_type": "retrieval", "type": "chat", "model": "sentence-transformers/all-MiniLM-L6-v2", "gen_params": {}, "start": 1722649158.4386, "finish": 1722649159.032, "ip": "", "conv_id": "74c70f220d5841dd9b7464a70d796777", "model_name": "sentence-transformers/all-MiniLM-L6-v2", "prompt": "You are a text processing assistant. Each time you receive a new input, you should not retain any memory of previous interactions. Your task is to extract the name of a singer, their songs, genres, and dates from the given text. The text may contain repeated characters and be part of a long paragraph. Please provide the extracted information in a clean and clear format.\n\nDo not retain any information from previous prompts.\n\nExample:\n\nText: \"Iiiiinnn tttthhhiiiisss sssspppeeeccciiifffiiiiccc rrreeepppooorrrtttt, wwwweee fffoooouuunnndd ttthhhaaattt tttthhheee ssssiiiiinnnngggeeeerrrr BBBiiiillllllyyyy Jjjoooeeeellll hhhhaaasss rrrreeeellleeeaaassseeeedddd sssseeevvveeerrraaallll hhhiittt ssssoooonnngggsss llliiikkkeee 'Piiiiaaanooo MMMaaannn', 'UUUuppptttoooowwwnnn GGGiiirrrlll', aaannnddd 'Weeee Diiiiddddnnn'ttt Sssstttaaaarrrttt tttthhheee Fiiiirrrreee' oooovvveeerrr ttthhheee yyyyeeaaarrrssss. Hhhiiissss mmuuuusssiiiccc gggeeennnrrreee iiiinnncccllluuudddessss RRRoooccckkkk, PPPoooppp, aaannnddd Ssssoooouuullll. HHiiisss bbbiiirrrtthhhdddaaayyy iiiisss MMMaaayyy 9, 1949.\"\n\nExtracted Information:\nSinger: Billy Joel\nSongs: Piano Man, Uptown Girl, We Didn't Start the Fire\nGenres: Rock, Pop, Soul\nDate: May 9, 1949\n\nExample:\n\nText: \"TTThhheee ssspppeecccaaaaccclllleee wwwaaassss aaaammmmaaaazzzziiinnnggg wwwiiitthhhh tttthhhheeee sssiiiinnnngggggeeeerrr Lllaaadddyyyy Gggaaaggggaaa ppppeeerrrfffooorrrmmmiiinnnggg hhheeerrr hhhiiittttt ssssoooonnngggsss sssuuucccchhh aaaassss 'Pppooookkkeeeerrr Faaacccceeee', 'BBaaadddd Rrrooouuummmaaannncccceeee', aaannnddd 'Shhhhhaaaalllooowww'. Hhhheeeerrr mmuuuusssiiiccc gggeeennnrrreeesss iiiinnncccllluuuddddeee PPPoooppp aaaannndddd Dddaaannnccceeee-PPPoooppp. Hhhheeerrr rrreeellleeeaaassseee dddaaattteeeesss fffooorrr ttthhheeeessseee ssssoooonnngggsss iiiinnncccllluuuddddeee 'PPPooookkkeeeerrr Faaacccceeee' iiiinnn 2008, 'BBaaadddd Rrrooouuummmaaannncccceeee' iiiinnn 2009, aaannnddd 'Shhhhhaaaalllooowww' iiiinnn 2018.\"\n\nExtracted Information:\nSinger: Lady Gaga\nSongs: Poker Face, Bad Romance, Shallow\nGenres: Pop, Dance-Pop\nDates: Poker Face (2008), Bad Romance (2009), Shallow (2018)\n\nNow, process the following text:\n\nText: \"AAAttttttt tttthhhheee ccccooonnncccceeerrrtttt, tttthhhheee aaaarrttttiiiissssttt Jjjoooohhhhnnnn Llllleeeeggggeeennnddd sssaaannnggg 'AAAlllll oooofffff MMMeee', 'GGGreeennn LLLiiiggghhhttt', aaannnddd 'LLLLooovvvveeee MMMee Nnnnoooowwww'. Hhhiiisss mmuuuussiiiccc gggeeennnrrreeeesss aaarrreee Rrr&&&BB, Ssssoooouuullll, aaannnddd PPPoooppp. Hhhiiisss ssssoooonnnggg rrrreeellleeeaaassseee dddaaattteeeesss aaarrreee 'AAAlllll oooofffff MMMeee' iiiinnn 2013, 'GGGreeennn LLLiiiggghhhttt' iiiinnn 2016, aaannnddd 'LLLLooovvvveeee MMMee Nnnnoooowwww' iiiinnn 2017.\"\n", "output": [["You are a text processing assistant. Each time you receive a new input, you should not retain any memory of previous interactions. Your task is to extract the name of a singer, their songs, genres, and dates from the given text. The text may contain repeated characters and be part of a long paragraph. Please provide the extracted information in a clean and clear format.\n\nDo not retain any information from previous prompts.\n\nExample:\n\nText: \"Iiiiinnn tttthhhiiiisss sssspppeeeccciiifffiiiiccc rrreeepppooorrrtttt, wwwweee fffoooouuunnndd ttthhhaaattt tttthhheee ssssiiiiinnnngggeeeerrrr BBBiiiillllllyyyy Jjjoooeeeellll hhhhaaasss rrrreeeellleeeaaassseeeedddd sssseeevvveeerrraaallll hhhiittt ssssoooonnngggsss llliiikkkeee 'Piiiiaaanooo MMMaaannn', 'UUUuppptttoooowwwnnn GGGiiirrrlll', aaannnddd 'Weeee Diiiiddddnnn'ttt Sssstttaaaarrrttt tttthhheee Fiiiirrrreee' oooovvveeerrr ttthhheee yyyyeeaaarrrssss. Hhhiiissss mmuuuusssiiiccc gggeeennnrrreee iiiinnncccllluuudddessss RRRoooccckkkk, PPPoooppp, aaannnddd Ssssoooouuullll. HHiiisss bbbiiirrrtthhhdddaaayyy iiiisss MMMaaayyy 9, 1949.\"\n\nExtracted Information:\nSinger: Billy Joel\nSongs: Piano Man, Uptown Girl, We Didn't Start the Fire\nGenres: Rock, Pop, Soul\nDate: May 9, 1949\n\nExample:\n\nText: \"TTThhheee ssspppeecccaaaaccclllleee wwwaaassss aaaammmmaaaazzzziiinnnggg wwwiiitthhhh tttthhhheeee sssiiiinnnngggggeeeerrr Lllaaadddyyyy Gggaaaggggaaa ppppeeerrrfffooorrrmmmiiinnnggg hhheeerrr hhhiiittttt ssssoooonnngggsss sssuuucccchhh aaaassss 'Pppooookkkeeeerrr Faaacccceeee', 'BBaaadddd Rrrooouuummmaaannncccceeee', aaannnddd 'Shhhhhaaaalllooowww'. Hhhheeeerrr mmuuuusssiiiccc gggeeennnrrreeesss iiiinnncccllluuuddddeee PPPoooppp aaaannndddd Dddaaannnccceeee-PPPoooppp. Hhhheeerrr rrreeellleeeaaassseee dddaaattteeeesss fffooorrr ttthhheeeessseee ssssoooonnngggsss iiiinnncccllluuuddddeee 'PPPooookkkeeeerrr Faaacccceeee' iiiinnn 2008, 'BBaaadddd Rrrooouuummmaaannncccceeee' iiiinnn 2009, aaannnddd 'Shhhhhaaaalllooowww' iiiinnn 2018.\"\n\nExtracted Information:\nSinger: Lady Gaga\nSongs: Poker Face, Bad Romance, Shallow\nGenres: Pop, Dance-Pop\nDates: Poker Face (2008), Bad Romance (2009), Shallow (2018)\n\nNow, process the following text:\n\nText: \"AAAttttttt tttthhhheee ccccooonnncccceeerrrtttt, tttthhhheee aaaarrttttiiiissssttt Jjjoooohhhhnnnn Llllleeeeggggeeennnddd sssaaannnggg 'AAAlllll oooofffff MMMeee', 'GGGreeennn LLLiiiggghhhttt', aaannnddd 'LLLLooovvvveeee MMMee Nnnnoooowwww'. Hhhiiisss mmuuuussiiiccc gggeeennnrrreeeesss aaarrreee Rrr&&&BB, Ssssoooouuullll, aaannnddd PPPoooppp. Hhhiiisss ssssoooonnnggg rrrreeellleeeaaassseee dddaaattteeeesss aaarrreee 'AAAlllll oooofffff MMMeee' iiiinnn 2013, 'GGGreeennn LLLiiiggghhhttt' iiiinnn 2016, aaannnddd 'LLLLooovvvveeee MMMee Nnnnoooowwww' iiiinnn 2017.\"\n", "String (music)\n\nIn music, strings are long flexible structures on string instruments that produce sound through vibration. Strings are held under tension so that they can vibrate freely, but with control. This is to make the string vibrate at the desired pitch, with looser strings producing lower pitches, and tighter strings producing higher pitches. However, a vibrating string produces very little sound in of itself. Therefore, most string instruments have a sounding board to amplify the sound.\nThere are two main kinds of strings; plain and wound. \"Plain\" strings are simply one piece of long cylindrical material, commonly consisted of nylon or gut. \"Wound\" strings have a central core, plus other material which is tightly wound around the string (usually made of various metals)."]], "corpus": "wikipedia"}
 {"tstamp": 1722649253.0349, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722649250.8069, "finish": 1722649253.0349, "ip": "", "conv_id": "f72f662bdd8c40e5adc94bf93c297355", "model_name": "GritLM/GritLM-7B", "prompt": "what is the difference between the word misuse and abuse?", "output": [["what is the difference between the word misuse and abuse?", "English Stackexchange\n\nQ: A word for the meaning of \"abuse of the authoritative/political power\" I need a single-word for the meaning of \"abuse of the authoritative/political power\".\n\nA: Malfeasance: wrongful conduct by a public official.\n"]], "corpus": "stackexchange"}
 {"tstamp": 1722649253.0349, "task_type": "retrieval", "type": "chat", "model": "intfloat/e5-mistral-7b-instruct", "gen_params": {}, "start": 1722649250.8069, "finish": 1722649253.0349, "ip": "", "conv_id": "4b86dbcf6d5e426f89d3ae4e9e75be4e", "model_name": "intfloat/e5-mistral-7b-instruct", "prompt": "what is the difference between the word misuse and abuse?", "output": [["what is the difference between the word misuse and abuse?", "English Stackexchange\n\nQ: A word for the meaning of \"abuse of the authoritative/political power\" I need a single-word for the meaning of \"abuse of the authoritative/political power\".\n\nA: Malfeasance: wrongful conduct by a public official.\n"]], "corpus": "stackexchange"}
+{"tstamp": 1722649950.1266, "task_type": "retrieval", "type": "chat", "model": "voyage-multilingual-2", "gen_params": {}, "start": 1722649949.7488, "finish": 1722649950.1266, "ip": "", "conv_id": "666c7414f6b94a31b7c710b310792f6a", "model_name": "voyage-multilingual-2", "prompt": "what does genotype slco1b1 *1 *5 mean", "output": [["what does genotype slco1b1 *1 *5 mean", "Title: Predicting Pathogenicity Of nsSNPs Associated With Rb1 -- An In Silico Approach\n\nAbstract: Single nucleotide polymorphisms (SNPs) are variations at specific locations in DNA. Sequence responsible for marking genes associated with diseases or tracking inherited diseases within The family. These variations in the Rb1 gene can cause Retinoblastoma and cancer in the retina Of one eye or both, Osteosarcoma, Melanoma, Leukemias, Lungs, and Breast cancer. First of all,The SNP database hosted by NCBI was used to extract some principal data. The association of Rb1 to Other genes were analyzed by GeneMANIA. Ten different computational tools, i.eSIFT,Polyphen-2, I-Mutant 3.0,PROVEAN, SNAP2, PHD-SNP, PMut, SNPs&GO were used for the screening of damaging SNP for the estimation of conserved regions of amino acids Consurf Server was used for the evaluation of the structural stability of both native and mutant proteins, Project Hope was used to examine the structural effects of mutant protein.GeneMANIA predicted that RB1 Gene was expected to have a strong association with 20 other genes i.e. CCND1 and RBP2 etc. As per data retrieved from dbSNP hosted by NCBI,the Rb1 gene probed in this study carried a total of 36,358 SNPs. 345 were found in 3'UTR, 65 in 5'UTR, and 34,543 were found in the intron region. 844 were coding SNPs, and out of 844, 199 were synonymous And 450 were non-synonymous, including 425 missense, five nonsense, and 20 frameshift mutations. And remaining all are other types of SNPs. We took 425 missense SNPs for our investigation. A total of 17 mutations i.e. D332G, R445Q, E492V, P515T, W516G, V531G, E533K, E539K, M558R,W563G, L657Q, A658T, R661Q, D697H, D697E, P796L and R798W were predicted to have Damaging effects on structure and function of Rb1 protein.."]], "corpus": "arxiv"}
+{"tstamp": 1722649950.1266, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722649949.7488, "finish": 1722649950.1266, "ip": "", "conv_id": "eaed3a1ebf694f32a778cbf3154e50c0", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "what does genotype slco1b1 *1 *5 mean", "output": [["what does genotype slco1b1 *1 *5 mean", "Title: Genetic variation in human drug-related genes\n\nAbstract: Variability in drug efficacy and adverse effects are observed in clinical practice. While the extent of genetic variability in classical pharmacokinetic genes is rather well understood, the role of genetic variation in drug targets is typically less studied. Based on 60,706 human exomes from the ExAC dataset, we performed an in-depth computational analysis of the prevalence of functional-variants in in 806 drug-related genes, including 628 known drug targets. We find that most genetic variants in these genes are very rare (f < 0.1%) and thus likely not observed in clinical trials. Overall, however, four in five patients are likely to carry a functional-variant in a target for commonly prescribed drugs and many of these might alter drug efficacy. We further computed the likelihood of 1,236 FDA approved drugs to be affected by functional-variants in their targets and show that the patient-risk varies for many drugs with respect to geographic ancestry. A focused analysis of oncological drug targets indicates that the probability of a patient carrying germline variants in oncological drug targets is with 44% high enough to suggest that not only somatic alterations, but also germline variants carried over into the tumor genome should be included in therapeutic decision-making."]], "corpus": "arxiv"}