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TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset was created by AIDemos
Released under MIT
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TwitterChaimZhu/LLaVA-3D-Demo-Data dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterariG23498/demo-data dataset hosted on Hugging Face and contributed by the HF Datasets community
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TwitterExample of modeled customer behavioral data showing user sessions, engagement metrics, and conversion data across multiple platforms and devices
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Twitter[Demo] dataset demo yolo augmentation split ver 1
Dataset demo yolo version 1 Demo object detection - Dataset from Roboflow - list url dataaset - it have 7 class => ['Chair', 'Sofa', 'Table', 'battery', 'extinguisher',"Air conditioning",'Router'] - split dataset - use splitfolders.ratio(path,seed=20, output="XXX", ratio=(0.8, 0.05, 0.15)) - Augmentation use library "albumentations" - list augmentation google sheets
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TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset was created by Ritu Barik
Released under Apache 2.0
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Twitterhttps://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/
demo-data
这个一个测试数据集,用来熟悉 huggingface 的主要功能。
Usage
@Copyright 2023 liuyuqi.gov@msn.cn
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TwitterAccess updated Demo import data India with HS Code, price, importers list, Indian ports, exporting countries, and verified Demo buyers in India.
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TwitterAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
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Dataset Card for HQ-EDIT
HQ-Edit, a high-quality instruction-based image editing dataset with total 197,350 edits. Unlike prior approaches relying on attribute guidance or human feedback on building datasets, we devise a scalable data collection pipeline leveraging advanced foundation models, namely GPT-4V and DALL-E 3. HQ-Edit’s high-resolution images, rich in detail and accompanied by comprehensive editing prompts, substantially enhance the capabilities of existing image editing… See the full description on the dataset page: https://huggingface.co/datasets/UCSC-VLAA/HQ-Edit-data-demo.
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TwitterThis dataset was created by JinCui
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Data demo of Do Thanh Trung for Management of Scientific Data
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TwitterThis dataset was created by Gaurav Srivastav
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The updated demo data for AHDAP-What If? in Ipswich City, QLD, Australia. Find the user manual and how to access the tool at: https://www.ahdap.org/what-if1
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TwitterThis dataset provides information about the number of properties, residents, and average property values for Demo Road cross streets in Holly Grove, AR.
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TwitterExplore Demo Tool import export trade data. Find top buyers, suppliers, HS codes, ports, & market trends to make smarter, data-driven trade decisions.
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Sample data for exercises in Further Adventures in Data Cleaning.
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TwitterJohnyquest7/OctoTools-Gradio-Demo-User-Data dataset hosted on Hugging Face and contributed by the HF Datasets community
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Twitterhttps://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service
1) Data Introduction • The Sample Sales Data is a retail sales dataset of 2,823 orders and 25 columns that includes a variety of sales-related data, including order numbers, product information, quantity, unit price, sales, order date, order status, customer and delivery information.
2) Data Utilization (1) Sample Sales Data has characteristics that: • This dataset consists of numerical (sales, quantity, unit price, etc.), categorical (product, country, city, customer name, transaction size, etc.), and date (order date) variables, with missing values in some columns (STATE, ADDRESSLINE2, POSTALCODE, etc.). (2) Sample Sales Data can be used to: • Analysis of sales trends and performance by product: Key variables such as order date, product line, and country can be used to visualize and analyze monthly and yearly sales trends, the proportion of sales by product line, and top sales by country and region. • Segmentation and marketing strategies: Segmentation of customer groups based on customer information, transaction size, and regional data, and use them to design targeted marketing and customized promotion strategies.
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TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset was created by AIDemos
Released under MIT