A complete list of live websites using the consolidate technology, compiled through global website indexing conducted by WebTechSurvey.

The MERGE dataset is a collection of audio, lyrics, and bimodal datasets for conducting research on Music Emotion Recognition. A complete version is provided for each modality. The audio datasets provide 30-second excerpts for each sample, while full lyrics are provided in the relevant datasets. The amount of available samples in each dataset is the following:

• MERGE Audio Complete: 3554
• MERGE Audio Balanced: 3232
• MERGE Lyrics Complete: 2568
• MERGE Lyrics Balanced: 2400
• MERGE Bimodal Complete: 2216
• MERGE Bimodal Balanced: 2000

Additional Contents

Each dataset contains the following additional files:

• av_values: File containing the arousal and valence values for each sample sorted by their identifier;
• tvt_dataframes: Train, validate, and test splits for each dataset. Both a 70-15-15 and a 40-30-30 split are provided.

Metadata

A metadata spreadsheet is provided for each dataset with the following information for each sample, if available:

• Song (Audio and Lyrics datasets) - Song identifiers. Identifiers starting with MT were extracted from the AllMusic platform, while those starting with A or L were collected from private collections;
• Quadrant - Label corresponding to one of the four quadrants from Russell's Circumplex Model;
• AllMusic Id - For samples starting with A or L, the matching AllMusic identifier is also provided. This was used to complement the available information for the samples originally obtained from the platform;
• Artist - First performing artist or band;
• Title - Song title;
• Relevance - AllMusic metric representing the relevance of the song in relation to the query used;
• Duration - Song length in seconds;
• Moods - User-generated mood tags extracted from the AllMusic platform and available in Warriner's affective dictionary;
• MoodsAll - User-generated mood tags extracted from the AllMusic platform;
• Genres - User-generated genre tags extracted from the AllMusic platform;
• Themes - User-generated theme tags extracted from the AllMusic platform;
• Styles - User-generated style tags extracted from the AllMusic platform;
• AppearancesTrackIDs - All AllMusic identifiers related with a sample;
• Sample - Availability of the sample in the AllMusic platform;
• SampleURL - URL to the 30-second excerpt in AllMusic;
• ActualYear - Year of song release

Acknowledgements

This work is funded by FCT - Foundation for Science and Technology, I.P., within the scope of the projects: MERGE - DOI: 10.54499/PTDC/CCI-COM/3171/2021 financed with national funds (PIDDAC) via the Portuguese State Budget; and project CISUC - UID/CEC/00326/2020 with funds from the European Social Fund, through the Regional Operational Program Centro 2020.

Renato Panda was supported by Ci2 - FCT UIDP/05567/2020.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

TDL Merge

## Overview

TDL Merge is a dataset for object detection tasks - it contains ... annotations for 2,220 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).

Smart Merge

## Overview

Smart Merge is a dataset for object detection tasks - it contains Garlics Garlic No Root annotations for 200 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).

This dataset tracks annual black student percentage from 2001 to 2023 for Custer County School District Consolidate 1 vs. Colorado

Debt Consolidation Market Outlook 2032

The global debt consolidation market size was USD XX Billion in 2023 and is projected to reach USD XX Billion by 2032, expanding at a CAGR of XX % during 2024–2032. The market growth is attributed to the rising awareness among consumer regarding the debt consolidation services.



The debt consolidation market is witnessing a significant growth, driven by an increasing number of consumers seeking to streamline their financial obligations. This growing trend is largely attributed to the rising awareness about the benefits of consolidating multiple debts into a single, manageable payment.



The market is being propelled by the advent of innovative financial products and services that make the process of debt consolidation more accessible and efficient. Growing opportunities for growth in this market, particularly with the emergence of digital platforms that simplify the debt consolidation process are creating new avenue for the market players. The increasing consumer preference for online financial services is expected to further fuel the expansion of the market during the forecast period.

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AI-powered chatbots and virtual assistants enhance customer service by providing instant responses to client inquiries, thereby improving customer satisfaction and retention. AI's impact extends to regulatory compliance as well, as it aids in detecting fraudulent activities and ensuring adherence to financial regulations.

<span lang="EN

Hap Seng Consolidate 부채 - 현재 값, 이력 데이터, 예측, 통계, 차트 및 경제 달력 - Jul 2025.Data for Hap Seng Consolidate | 부채 including historical, tables and charts were last updated by Trading Economics this last July in 2025.

YOLOv7 Object Detection Merge

## Overview

YOLOv7 Object Detection Merge is a dataset for object detection tasks - it contains Common Objects annotations for 1,817 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).

Hap Seng Consolidate 보통주 자본 - 현재 값, 이력 데이터, 예측, 통계, 차트 및 경제 달력 - Jul 2025.Data for Hap Seng Consolidate | 보통주 자본 including historical, tables and charts were last updated by Trading Economics this last July in 2025.

This dataset tracks annual distribution of students across grade levels in Custer County School District Consolidate 1 and average distribution per school district in Colorado

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

No description was included in this Dataset collected from the OSF

​The Consolidated Screening List API consolidates eleven export screening lists of the Departments of Commerce, State and the Treasury into a single data feed as an aid to industry in conducting electronic screens of potential parties to regulated transactions.

Thailand Consolidate: Net Worth: Revenue: Other Revenue data was reported at 0.000 THB mn in Jun 2018. This stayed constant from the previous number of 0.000 THB mn for May 2018. Thailand Consolidate: Net Worth: Revenue: Other Revenue data is updated monthly, averaging 0.000 THB mn from Oct 2012 (Median) to Jun 2018, with 69 observations. Thailand Consolidate: Net Worth: Revenue: Other Revenue data remains active status in CEIC and is reported by Fiscal Policy Office. The data is categorized under Global Database’s Thailand – Table TH.F005: Government Revenue and Expenditure: GFSM 2014: Consolidate.

This dataset tracks annual hispanic student percentage from 1991 to 2023 for Custer County School District Consolidate 1 vs. Colorado

Thailand Consolidate: Assets & Liab: Domestic Debtors data was reported at 0.000 THB mn in Oct 2018. This stayed constant from the previous number of 0.000 THB mn for Sep 2018. Thailand Consolidate: Assets & Liab: Domestic Debtors data is updated monthly, averaging 0.000 THB mn from Sep 2013 (Median) to Oct 2018, with 62 observations. Thailand Consolidate: Assets & Liab: Domestic Debtors data remains active status in CEIC and is reported by Fiscal Policy Office. The data is categorized under Global Database’s Thailand – Table TH.F005: Government Revenue and Expenditure: GFSM 2014: Consolidate.

Thailand Consolidate: Net Worth: Expense: Use of Goods and Services data was reported at 0.000 THB mn in Jun 2018. This stayed constant from the previous number of 0.000 THB mn for May 2018. Thailand Consolidate: Net Worth: Expense: Use of Goods and Services data is updated monthly, averaging 0.000 THB mn from Oct 2012 (Median) to Jun 2018, with 69 observations. Thailand Consolidate: Net Worth: Expense: Use of Goods and Services data remains active status in CEIC and is reported by Fiscal Policy Office. The data is categorized under Global Database’s Thailand – Table TH.F005: Government Revenue and Expenditure: GFSM 2014: Consolidate.

This dataset tracks annual white student percentage from 1991 to 2023 for Custer County School District Consolidate 1 vs. Colorado

Thailand Consolidate: Assets & Liab: Net Acquisition of Financial Assets data was reported at 0.000 THB mn in Oct 2018. This stayed constant from the previous number of 0.000 THB mn for Sep 2018. Thailand Consolidate: Assets & Liab: Net Acquisition of Financial Assets data is updated monthly, averaging 0.000 THB mn from Oct 2012 (Median) to Oct 2018, with 73 observations. Thailand Consolidate: Assets & Liab: Net Acquisition of Financial Assets data remains active status in CEIC and is reported by Fiscal Policy Office. The data is categorized under Global Database’s Thailand – Table TH.F005: Government Revenue and Expenditure: GFSM 2014: Consolidate.