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Lunaris SFT Dataset - V2
A High-Quality, Multi-Stage, and AI-Curated Instruction-Following Dataset
Dataset Description
The Lunaris SFT Dataset V2 is a large-scale, high-quality, synthetic instruction-following dataset meticulously crafted for Supervised Fine-Tuning (SFT) of advanced language models. It contains ~115,000 examples of prompt-response pairs, significantly expanded and rebalanced from its first version. This version introduces a strong… See the full description on the dataset page: https://huggingface.co/datasets/meryyllebr543/lunaris-sft.
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Credit report of Lunaris contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.
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Lunaris Ultra-FineWeb 20B Tokenized Dataset
A pre-processed, tokenized version of the Ultra-FineWeb dataset, optimized for efficient training of large language models.
📋 Dataset Overview
This dataset contains 20 billion tokens from the Ultra-FineWeb English corpus, pre-tokenized and stored in efficient NumPy format for fast data loading during training. The dataset is split into 20 shards of 1 billion tokens each, making it ideal for distributed training scenarios.… See the full description on the dataset page: https://huggingface.co/datasets/meryyllebr543/lunaris-ultrafineweb-20b-tokenized.
Dataset Card for Evaluation run of Sao10K/L3-8B-Lunaris-v1
Dataset automatically created during the evaluation run of model Sao10K/L3-8B-Lunaris-v1 The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Sao10K_L3-8B-Lunaris-v1-details.
Dataset Card for Evaluation run of Tremontaine/L3-12B-Lunaris-v1
Dataset automatically created during the evaluation run of model Tremontaine/L3-12B-Lunaris-v1 The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Tremontaine_L3-12B-Lunaris-v1-details.
meryyllebr543/lunaris-sft-score dataset hosted on Hugging Face and contributed by the HF Datasets community
https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules
Panevėžio šunų mylėtojų klubas "Lunaris" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.
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This data collection contains all currently published nucleotide (DNA/RNA) and protein sequences from Australian Caesio lunaris, commonly known as Blue Fusilier. Other information about this group:
The nucleotide (DNA/RNA) and protein sequences have been sourced through the European Nucleotide Archive (ENA) and Universal Protein Resource (UniProt), databases that contains comprehensive sets of nucleotide (DNA/RNA) and protein sequences from all organisms that have been published by the International Research Community.
The identification of species in Caesio lunaris as Australian dwelling organisms has been achieved by accessing the Australian Plant Census (APC) or Australian Faunal Directory (AFD) through the Atlas of Living Australia.
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Non UBC Unreviewed Author affiliation: Princeton University Faculty
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This table contains 92 series, with data for years 1977 - 1985 (not all combinations necessarily have data for all years).This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Price index (92 items: Total raw materials; Vegetable products; Total, fresh fruits; Fresh fruit, tropical; ...).
http://www.companywall.rs/Home/Licencehttp://www.companywall.rs/Home/Licence
Ovaj skup podataka uključuje finansijske izvještaje, račune i blokade, te nekretnine. Podaci uključuju prihode, rashode, dobit, imovinu, obaveze i informacije o nekretninama u vlasništvu kompanije. Finansijski podaci, finansijski sažetak, sažetak kompanije, preduzetnik, zanatlija, udruženje, poslovni subjekti.
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This product provides information on Output and Value of Poultry Meats, Alberta, over an eleven-year period. Number of tonnes and Value($) of Total Production; Consumed by Producers; and Sold are included for Stewing Hen and Chicken; and Turkey are included.
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Begonia lunaris Begonia cinsine bağlı bir bitki türüdür Begonia lunarisKorunma durumuDeğerlendirilmedi IUCN 3 1 Biyoloji
Attribution-NonCommercial-NoDerivs 2.5 (CC BY-NC-ND 2.5)https://creativecommons.org/licenses/by-nc-nd/2.5/
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Non UBC Unreviewed Faculty Author affiliation: University of Kansas in Lawrence
Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
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We consider an A-optimal minimax design criterion for mixed-level fractional factorial designs in this talk. The linear model usually includes all the main effects and some specified interactions among the factors, and we use a requirement set to denote all those effects. A-optimal minimax design criterion is to minimize the maximum trace of the mean squared error matrix of the least squares estimator of the effects in the model, and the maximum is taken over small possible departures of the requirement set. A-optimal minimax design is robust against misspecification of the requirement set. Various design properties will be presented for two-level and mixed-level fractional factorial designs. An example is given to compare the results for A-optimal, D-optimal, E-optimal, A-optimal minimax and D-optimal minimax designs. Non UBC Unreviewed Author affiliation: University of Victoria Graduate
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Capital and repair expenditures by type of expenditure for industry sector 56, administrative and support, waste management and remediation services from the North American Industry Classification System (NAICS) for Canada, annual data from 1991 to 2014. (Terminated)
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The speaker will discuss recent work on Manin's theory of zeta polynomials for modular forms. He will describe recent results which confirm Manin's speculation that there is such a theory which arises from periods of newforms. More precisely, for each even weight $k>2$ newform $f$ the speaker will describe a canonical polynomial $Z_f (s)$ which satisfies a functional equation of the form $Z_f (s) = Z_f (1 - s)$, and also satisfies the Riemann Hypothesis: if $Z_f (\rho) = 0$, then $Re(\rho) = 1/2$. This zeta function is arithmetic in nature in that it encodes the mo- ments of the critical values of $L(f, s)$. This work builds on earlier results of many people on period polynomials of modular forms. This is joint work with Seokho Jin, Wenjun Ma, Larry Rolen, Kannan Soundararajan, and Florian Sprung. Non UBC Unreviewed Author affiliation: Emory University Faculty
Descubra a distribuição mundial do sobrenome Lunari. Presente em 15 países com 503 pessoas registradas.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Detailed average operating revenues and expenses of farms, by revenue class, incorporated and unincorporated sectors, Canada (in dollars). Data are available on an annual basis.
MIT Licensehttps://opensource.org/licenses/MIT
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Lunaris SFT Dataset - V2
A High-Quality, Multi-Stage, and AI-Curated Instruction-Following Dataset
Dataset Description
The Lunaris SFT Dataset V2 is a large-scale, high-quality, synthetic instruction-following dataset meticulously crafted for Supervised Fine-Tuning (SFT) of advanced language models. It contains ~115,000 examples of prompt-response pairs, significantly expanded and rebalanced from its first version. This version introduces a strong… See the full description on the dataset page: https://huggingface.co/datasets/meryyllebr543/lunaris-sft.