🎨 Open-PerfectBlend

Open-PerfectBlend is an open-source reproduction of the instruction dataset introduced in the paper "The Perfect Blend: Redefining RLHF with Mixture of Judges". It's a solid general-purpose instruction dataset with chat, math, code, and instruction-following data.

  Data source

Here is the list of the datasets used in this mix:

Dataset

Samples

meta-math/MetaMathQA 395,000

openbmb/UltraInteract_sft 288,579

HuggingFaceH4/ultrachat_200k… See the full description on the dataset page: https://huggingface.co/datasets/mlabonne/open-perfectblend.

Head Momo Combine Public Data

## Overview

Head Momo Combine Public Data is a dataset for object detection tasks - it contains Head 9Zxw annotations for 4,511 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The dataset contains the blended (gauge and satellite estimates) monthly mean precipitation rates (unit: mm/day) for Canada for the period from January 1979 to December 2007, at a half degree spatial resolution. Please refer to the paper below for the details of the blending algorithm and input gauge and satellite data. Reference: Lin, A. and X. L. Wang, 2011: An algorithm for Blending Multiple Satellite Precipitation Estimates with in-situ Precipitation Measurements in Canada. JGR-Atmospheres, 116, D21111, doi:10.1029/2011JD016359.

Blend Public Relations Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Blending science and compassion: The 30th educational symposium of the Society of Critical Care Medicine, San Francisco, USA, 10-14 February 2001

The Blended Index (BI) is a model which employs multiple potential indicators of drought and excess moisture, such as the Palmer drought index, rolling precipitation amounts and soil moisture, and combines them into a weighted, normalized value between 0 and 100. The inputs and weights used in this model are subject to change periodically as it is optimized to best represent extent, duration and severity of impactful weather conditions. The blended index is deployed as two variations; short term (st) focusing on 1 to 3 months, and long term (lt) focusing on 6 months to 5 years.

它是一个大型、免费的数据集，由9万多名病人的健康数据信息构成。这些病人来自大型医疗中心的ICU和住院部，时间为2001年至2019年。日后或许会更新更多数据。It is a large, free dataset consisting of health data from more than 90,000 patients. The patients came from the ICU and inpatient unit of large medical centers from 2001 to 2019.More data may be updated in the future.

该数据集主要包括了人口统计数据（demographics）、在病床进行的生命体征测量（每小时约1个数据点）、实验室检查结果、治疗（procedures）、药物、护理人员工作记录、影像报告、死亡信息（包括院内和院外）等信息。The dataset mainly includes demographics, vital sign measurements performed in the hospital bed (about 1 data point per hour), laboratory test results, treatment procedures, medications, nursing staff work records, image reports, death information (both in-hospital and out-of-hospital), and other information.

该数据集可用于支持广泛的研究工作，包括流行病学、临床决策规则优化、医疗电子工具开发。它具有三个显著的优点：可供全世界研究者广泛使用；涵盖多元化且数据庞大的ICU患者群体；包括大量的时序数据，包括实验室检查结果、电子文档、临床监测数据。The dataset can be used to support a wide range of research efforts, including epidemiology, optimization of clinical decision rules, and development of medical electronic tools. It has three significant advantages: it can be widely used by researchers around the world; Covering a diverse and data-rich ICU patient population; Includes a large amount of time-series data, including laboratory test results, electronic documents, and clinical monitoring data.

Hosp 模块中的其他信息包括实验室测量(Labevents，d _ labitem) ，微生物培养(microbiologyevents，d _ micro) ，提供者订单(poe，poe _ Details) ，药物管理(emar，emar _ Details) ，药物处方(prescriptions, pharmacy) ，医院账单信息(diagnoses_icd, d_icd_diagnoses, procedures_icd, d_icd_procedures, hcpcsevents, d_hcpcs,drgcodes) ，在线医疗记录数据(omr)和服务相关信息(服务)。

Provider information在提供程序表中可用。Provider _ id 列是一个去身份化的字符串，它唯一地表示一个护理提供者。由于 Provider _ id 在整个模块的不同上下文中使用，前缀通常出现在数据表中，用于上下文化护理提供者与事件的关系（比如是负责抽血，还是监护等等不同的，相当于关联到了不同的护士）。例如，接纳病人到医院的提供者在接纳表中记录为 access _ Provider _ id。所有后缀为 Provider _ id 的列都可以链接到 Provider table。

The aim of this project is to explore the role of self-regulated learning (SRL) strategies in blended learning environments (BLEs) within higher education. This research focuses on the implementation, instructional methods, and the effects of these strategies on knowledge retention. The project includes multiple studies utilizing a broad array of methods, such as literature reviews, surveys among teachers and students, and field experiments. These approaches are designed to gain insights into how SRL strategies can be effectively implemented and which interaction methods (both human and non-human) are most conducive to successful learning. Ultimately, this project seeks to identify strategies that enhance and support self-regulated learning, which is crucial for fostering academic success in blended learning environments.

This dataset contains blended (gauge and satellite estimates) pentad mean precipitation rates (unit: mm/day) at a one degree spatial resolution over Canada. The data can be used for hydrometeorological, agricultural, forestry modelling, for numerical weather model and climate model verification, and for climate impact studies.

The Fiber Opening and Blending Production Line market plays a crucial role in the textile and nonwoven industries, serving as an essential component in the processing of fibers for various applications. This production line is designed to open, blend, and prepare raw fibrous materials, such as cotton, polyester, and