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| author
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42
⌀ | last_modified
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| likes
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| tags
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DBQ/Net.a.Porter.Product.prices.Italy
|
DBQ
| 2023-11-18T22:14:35Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Net",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-18T22:14:27Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Italy - Net-a-Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: Net-a-Porter
dtype: string
- name: '2023-11-08'
dtype: string
- name: ITA
dtype: string
- name: EUR
dtype: string
- name: SAINT LAURENT
dtype: string
- name: CLOTHING
dtype: string
- name: DRESSES
dtype: string
- name: MIDI DRESSES
dtype: string
- name: '1647597276844592'
dtype: int64
- name: Lace-trimmed silk-satin midi dress
dtype: string
- name: https://www.net-a-porter.com/it/en/shop/product/saint-laurent/clothing/midi-dresses/lace-trimmed-silk-satin-midi-dress/1647597276844592
dtype: string
- name: https://www.net-a-porter.com/variants/images/1647597276844592/ou/w1000.jpg
dtype: string
- name: '3490.00'
dtype: float64
- name: 3490.00.1
dtype: float64
- name: 3490.00.2
dtype: float64
- name: 3490.00.3
dtype: float64
- name: '0'
dtype: int64
splits:
- name: train
num_bytes: 17591923
num_examples: 43148
download_size: 5140785
dataset_size: 17591923
---
# Net-a-Porter web scraped data
## About the website
The **Ecommerce** industry in the EMEA region, particularly in **Italy**, has seen significant growth due to digital transformation and increased web shopping habits. Within this sector, the luxury fashion industry is a standout, where **Net-a-Porter** operates. This platform effectively fuses traditional haute couture and digital luxury shopping, offering an extensive range of high-end clothing and accessories. The observed dataset contains **Ecommerce product-list page (PLP)** data on Net-a-Porter in Italy, providing insight on user behavior, product attractiveness and market trends. This type of data enables customization and effectiveness of digital marketing strategies for the brand.
## Link to **dataset**
[Italy - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20Italy/r/recAG83il5B3oEP18)
|
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DBQ/Net.a.Porter.Product.prices.India
|
DBQ
| 2023-11-18T22:14:49Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Net",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-18T22:14:41Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: India - Net-a-Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: Net-a-Porter
dtype: string
- name: '2023-11-08'
dtype: string
- name: IND
dtype: string
- name: USD
dtype: string
- name: KHAITE
dtype: string
- name: CLOTHING
dtype: string
- name: DRESSES
dtype: string
- name: MINI DRESSES
dtype: string
- name: '1647597303269708'
dtype: int64
- name: Janna strapless duchesse cotton-blend satin mini dress
dtype: string
- name: https://www.net-a-porter.com/in/en/shop/product/khaite/clothing/mini-dresses/janna-strapless-duchesse-cotton-blend-satin-mini-dress/1647597303269708
dtype: string
- name: https://www.net-a-porter.com/variants/images/1647597303269708/ou/w1000.jpg
dtype: string
- name: '2094.00'
dtype: float64
- name: '1047.00'
dtype: float64
- name: '1958.84'
dtype: float64
- name: '979.42'
dtype: float64
- name: '1'
dtype: int64
splits:
- name: train
num_bytes: 17965087
num_examples: 44420
download_size: 5762779
dataset_size: 17965087
---
# Net-a-Porter web scraped data
## About the website
In the Asia Pacific region, particularly India, retail industries are witnessing a significant digital transformation. The **Ecommerce industry** is particularly flourishing, revolutionised by advanced technology, the proliferation of smartphones, and improved internet infrastructure. The **online fashion retail** sector is a key player in this surge, making a strong foothold in the world of Ecommerce. **Net-a-Porter**, a premier luxury online fashion retailer operates within this industry. The dataset examined, provides **Ecommerce product-list page (PLP) data** on Net-a-Porters offerings in India, revealing significant insights on product range, consumer preferences, price points and trends in the Indian online luxury fashion retail landscape.
## Link to **dataset**
[India - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20India/r/rec5aEBQ3a7hC1MIp)
|
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DBQ/Chloe.Product.prices.United.States
|
DBQ
| 2023-11-18T22:14:59Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Chloe",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-18T22:14:54Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: United States - Chloe - Product-level price list
tags:
- webscraping
- ecommerce
- Chloe
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: Chloe
dtype: string
- name: '2023-11-08'
dtype: string
- name: USA
dtype: string
- name: USD
dtype: string
- name: CHLOE
dtype: string
- name: WOMEN
dtype: string
- name: NEW ARRIVALS
dtype: string
- name: WINTER 2023
dtype: string
- name: 45800720AE
dtype: string
- name: Hana mini bag
dtype: string
- name: https://www.chloe.com/us/shoulder-bag_cod45800720ae.html
dtype: string
- name: https://www.chloe.com/product_image/45800720AE/f/w282.jpg
dtype: string
- name: '430.00'
dtype: float64
- name: 430.00.1
dtype: float64
- name: '402.24'
dtype: float64
- name: 402.24.1
dtype: float64
- name: '0'
dtype: int64
splits:
- name: train
num_bytes: 714750
num_examples: 2569
download_size: 162722
dataset_size: 714750
---
# Chloe web scraped data
## About the website
The **Ecommerce industry** in America, particularly in the United States, has been showing rapid growth and substantial advancements amidst digitalization and increased online shopping trends. One vital sector within this industry is the **fashion industry**, where renowned brands like **Chloe** record significant sales. The brand operates through both physical outlets and online platforms. The dataset observed has **Ecommerce product-list page (PLP) data on Chloe** in United States, providing insightful observations on their digital performance, customer preferences, and shopping behavior. Such data is instrumental to marketers and analysts in understanding market trends, designing strategies, and focusing on customer segments to increase revenue and profits.
## Link to **dataset**
[United States - Chloe - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Chloe%20Product-prices%20United%20States/r/recHvXlrm9VQZj0kM)
|
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] |
DBQ/Bottega.Veneta.Product.prices.Italy
|
DBQ
| 2023-11-18T22:15:08Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Bottega Veneta",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-18T22:15:04Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Italy - Bottega Veneta - Product-level price list
tags:
- webscraping
- ecommerce
- Bottega Veneta
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: Bottega Veneta
dtype: string
- name: '2023-11-08'
dtype: string
- name: ITA
dtype: string
- name: EUR
dtype: string
- name: BOTTEGA VENETA
dtype: string
- name: N.A.
dtype: string
- name: N.A..1
dtype: string
- name: N.A..2
dtype: string
- name: 765857VMAY02145
dtype: string
- name: Portachiavi Intreccio con gancio a goccia
dtype: string
- name: https://www.bottegaveneta.com/it-it/portachiavi-intreccio-con-gancio-a-goccia-fondant-765857VMAY02145.html
dtype: string
- name: https://bottega-veneta.dam.kering.com/m/4351e9501f1673da/Thumbnail-765857VMAY02145_A.jpg?v=1
dtype: string
- name: '390.00'
dtype: float64
- name: 390.00.1
dtype: float64
- name: 390.00.2
dtype: float64
- name: 390.00.3
dtype: float64
- name: '0'
dtype: int64
splits:
- name: train
num_bytes: 1629316
num_examples: 4394
download_size: 467120
dataset_size: 1629316
---
# Bottega Veneta web scraped data
## About the website
**Bottega Veneta** operates in the luxury fashion industry within the EMEA region, specifically in **Italy**. This industry is recognized worldwide for its high-end, quality products that range from clothing, accessories to fragrances and home furnishings. Italy, in particular, holds a significant place in this market, given its long-standing reputation and excellence in the design and manufacturing of luxurious goods. With the steady increase in digital transformation, **Ecommerce** has become a crucial part of this sector, providing opportunities for brands like Bottega Veneta to reach global consumers more efficiently. The dataset observed contains **Ecommerce product-list page (PLP) data** on Bottega Veneta in Italy.
## Link to **dataset**
[Italy - Bottega Veneta - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Bottega%20Veneta%20Product-prices%20Italy/r/recoQt2LVCwv0kJbV)
|
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DBQ/Net.a.Porter.Product.prices.Hong.Kong
|
DBQ
| 2023-11-18T22:15:26Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Net",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-18T22:15:16Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Hong Kong - Net-a-Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: Net-a-Porter
dtype: string
- name: '2023-11-08'
dtype: string
- name: HKG
dtype: string
- name: HKD
dtype: string
- name: GIANVITO ROSSI
dtype: string
- name: SHOES
dtype: string
- name: SANDALS
dtype: string
- name: FLAT
dtype: string
- name: '10163292707857611'
dtype: int64
- name: Portofino 20 suede sandals
dtype: string
- name: https://www.net-a-porter.com/hk/en/shop/product/gianvito-rossi/shoes/flat/portofino-20-suede-sandals/10163292707857611
dtype: string
- name: https://www.net-a-porter.com/variants/images/10163292707857611/ou/w1000.jpg
dtype: string
- name: '6900.00'
dtype: float64
- name: 6900.00.1
dtype: float64
- name: '825.16'
dtype: float64
- name: 825.16.1
dtype: float64
- name: '0'
dtype: int64
splits:
- name: train
num_bytes: 21075726
num_examples: 51659
download_size: 6495108
dataset_size: 21075726
---
# Net-a-Porter web scraped data
## About the website
The **Ecommerce** industry in the **Asia Pacific**, particularly in **Hong Kong**, has shown significant growth with a rising number of online shoppers. Companies, such as **Net-a-Porter**, have been thriving in this robust market, offering luxury fashion and accessories through their digital platforms. Hong Kongs high internet penetration and mobile device usage rates provide an excellent environment for Ecommerce businesses. Additionally, its consumers high purchasing power and desire for luxury brands have made this region a vital location for digital retail. The dataset observed encompassed the **Ecommerce product-list page (PLP) data** of Net-a-Porters operation in **Hong Kong**.
## Link to **dataset**
[Hong Kong - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20Hong%20Kong/r/recLMteOOeDjt4LbK)
|
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faizalnf1800/scifi-webnovel
|
faizalnf1800
| 2023-11-20T00:33:45Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-18T22:18:26Z |
---
license: mit
---
|
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] |
Arturex2/RECURSOSHUMANOS_UNSAAC
|
Arturex2
| 2023-11-18T22:21:39Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-18T22:21:39Z |
---
license: apache-2.0
---
|
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0.25200408697128296,
0.3049141764640808,
-0.04526616632938385,
-0.5900785326957703,
-0.016066566109657288,
0.26214760541915894,
0.04487833380699158,
-0.6869441866874695
] |
DBQ/Net.a.Porter.Product.prices.Spain
|
DBQ
| 2023-11-18T22:28:37Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Net",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-18T22:28:37Z |
---
annotations_creators:
- other
language:
- en
language_creators:
- other
license:
- unknown
multilinguality:
- monolingual
pretty_name: 'Spain - Net-a-Porter - Product-level price list'
source_datasets:
- original
tags:
- webscraping
- ecommerce
- 'Net'
- fashion
- fashion product
- image
- fashion image
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
---
# Net-a-Porter web scraped data
## About the website
Net-a-Porter participates in the growing **ecommerce industry** in the **EMEA** region, particularly in **Spain**. The **fashion ecommerce industry** of Spain is expanding rapidly as digital technology becomes increasingly integrated in daily life. Many consumers are turning to online shopping for ease and convenience, and businesses are capitalizing on this trend. The provided dataset includes **Ecommerce product-list page (PLP) data** on Net-a-Porter in Spain, offering valuable insights to guide strategies within the online retail sector. In particular, it can help understand customer browsing behavior, preferences and purchasing patterns, crucial for content and product portfolio planning.
## Link to **dataset**
[Spain - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20Spain/r/recdTadGg6KS4lFMV)
|
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ParisNeo/Word_in_Sentence_Database
|
ParisNeo
| 2023-11-19T00:13:58Z | 0 | 2 |
[
"task_categories:table-question-answering",
"language:en",
"license:apache-2.0",
"region:us"
] |
[
"table-question-answering"
] | 2023-11-18T22:31:02Z |
---
license: apache-2.0
task_categories:
- table-question-answering
language:
- en
pretty_name: Word in Sentence database
---
# WIS database
This database contains a question answer list about text
This database was built using my this workflow:
1- load a raw text file
2- split into paragraphs
3- split paragraphs into sentences
4- for each word, ask question about its position and answer with the position, then ask about the word length and answer with the actual length of the word
5- ask a question about the number of words in the sentence and answer it
6- build a json database using this.
To do this, I kindly got the concent of Keith Curtis to use his website content as fuel to this algorithm.
The website can be found here:
https://keithcu.com/wordpress/?page_id=599
Best regards.
|
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ShubhamChoksi/IMDB_Movies
|
ShubhamChoksi
| 2023-11-18T22:54:52Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-18T22:52:57Z |
---
license: mit
---
|
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DBQ/Farfetch.Product.prices.United.Arab.Emirates
|
DBQ
| 2023-11-19T00:16:15Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Farfetch",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T00:16:15Z |
---
annotations_creators:
- other
language:
- en
language_creators:
- other
license:
- unknown
multilinguality:
- monolingual
pretty_name: 'United Arab Emirates - Farfetch - Product-level price list'
source_datasets:
- original
tags:
- webscraping
- ecommerce
- 'Farfetch'
- fashion
- fashion product
- image
- fashion image
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
---
# Farfetch web scraped data
## About the website
Farfetch operates within the **Ecommerce** industry in the EMEA region, specifically in the **United Arab Emirates**. This industry has grown exponentially in recent years, driven by an increasing number of internet users, accessibility to high-speed internet, and consumer convenience. In the UAE, the Ecommerce industry is especially dynamic and forward-thinking, with continuous technological advancements and an investment-friendly environment propelling its growth. The dataset observed includes **Ecommerce product-list page (PLP) data on Farfetch** in the UAE, providing valuable insights into the industry trends and consumer behaviour in this specific region.
## Link to **dataset**
[United Arab Emirates - Farfetch - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Farfetch%20Product-prices%20United%20Arab%20Emirates/r/recltOpHnVuiZZmML)
|
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furry-br/angel-dust
|
furry-br
| 2023-11-19T00:31:03Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-19T00:30:47Z |
---
license: openrail
---
|
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] |
dtsvankin/AdvicetoImprove
|
dtsvankin
| 2023-11-19T00:44:05Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-19T00:44:05Z |
---
license: mit
---
|
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] |
gyrojeff/YuzuMarker.FontDetection
|
gyrojeff
| 2023-11-19T02:51:10Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-19T00:52:04Z |
---
license: mit
---
# YuzuMarker.FontDetection
- Code: https://github.com/JeffersonQin/YuzuMarker.FontDetection
- Space: https://huggingface.co/spaces/gyrojeff/YuzuMarker.FontDetection
- Dataset: https://huggingface.co/datasets/gyrojeff/YuzuMarker.FontDetection/tree/master
The generated dataset is now available. Data are on the `master` branch due to initial commit error.
To use the data, each `.tar` package contains a `train`, `val`, `test` split. Move them to `./dataset`, then untar them.
To train the model, provide the path(s) of the untarred folders to the training script. For detail, please check the code repository.
|
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justmalhar/hindi-short-news
|
justmalhar
| 2023-11-19T01:25:50Z | 0 | 0 |
[
"license:unlicense",
"region:us"
] | null | 2023-11-19T01:05:21Z |
---
license: unlicense
dataset_info:
features:
- name: prompt
dtype: string
- name: completion
dtype: string
splits:
- name: train
num_bytes: 161184365
num_examples: 124235
download_size: 52742089
dataset_size: 161184365
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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] |
ALIGAMEZ/spongebobindo
|
ALIGAMEZ
| 2023-11-19T01:58:30Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-19T01:49:00Z |
---
license: openrail
---
|
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] |
Raspberry-ai/mango8AT60TjozU_raw_v1
|
Raspberry-ai
| 2023-11-19T02:08:14Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-19T02:03:18Z |
---
dataset_info:
features:
- name: url
dtype: string
- name: name
dtype: string
- name: color
dtype: string
- name: image_path
dtype: string
- name: brand_name
dtype: string
- name: overall_description
dtype: string
- name: style_description
dtype: string
- name: material_description
dtype: string
- name: product_category
dtype: string
- name: product_group_category
dtype: string
- name: section_name
dtype: string
- name: created_at
dtype: string
- name: image_urls
dtype: string
- name: images
dtype: string
- name: images_path
sequence: string
- name: source
dtype: string
- name: caption
dtype: string
- name: s3_uris
sequence: string
splits:
- name: train
num_bytes: 15190493
num_examples: 3212
download_size: 5398086
dataset_size: 15190493
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "mango_raw_dataset_v1"
3212 items
1. Women clothing
2. Women shoes
Ahe image resolution ranges ranges between 500*600, 600*800, 900*1300.
The resolution of front view images is on lower end.
Average images per item: 7
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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gilsonk12/gilson4
|
gilsonk12
| 2023-11-19T02:08:50Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-19T02:07:53Z |
---
license: openrail
---
|
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NoobPROBR/Kanedy
|
NoobPROBR
| 2023-11-19T02:42:02Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-19T02:39:54Z |
---
license: openrail
---
|
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gilsonk12/gilson5
|
gilsonk12
| 2023-11-19T02:58:08Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-19T02:56:53Z |
---
license: openrail
---
|
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felipeoes/long_answers_qa_blue_amazon_legislation_65k
|
felipeoes
| 2023-11-19T04:43:58Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-19T04:43:44Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: file_name
dtype: string
- name: question
dtype: string
- name: answer
dtype: string
- name: new_questions
dtype: string
- name: new_long_answers
dtype: string
- name: url
sequence: 'null'
- name: __index_level_0__
dtype: float64
splits:
- name: train
num_bytes: 79121969.68039252
num_examples: 51931
- name: test
num_bytes: 9891198.458822442
num_examples: 6492
- name: validation
num_bytes: 9889674.86078504
num_examples: 6491
download_size: 51922822
dataset_size: 98902843.0
---
# Dataset Card for "long_answers_qa_blue_amazon_legislation_65k"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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nizaro/test
|
nizaro
| 2023-11-20T17:21:20Z | 0 | 0 |
[
"license:cc-by-nc-nd-4.0",
"region:us"
] | null | 2023-11-19T04:44:43Z |
---
license: cc-by-nc-nd-4.0
---
|
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] |
Yunij/dataset
|
Yunij
| 2023-11-19T05:03:41Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-19T05:01:34Z |
---
license: apache-2.0
dataset_info:
features:
- name: answers
sequence: string
- name: passages
struct:
- name: is_selected
sequence: int32
- name: passage_text
sequence: string
- name: url
sequence: string
- name: query
dtype: string
- name: query_id
dtype: int32
- name: query_type
dtype: string
- name: wellFormedAnswers
sequence: 'null'
- name: ai_answers
dtype: string
splits:
- name: train
num_bytes: 85230946
num_examples: 20000
download_size: 42598247
dataset_size: 85230946
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
|
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imseldrith/mydataset
|
imseldrith
| 2023-11-19T06:09:34Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-19T06:06:38Z |
---
license: mit
---
|
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CCCCCC/BPO
|
CCCCCC
| 2023-11-20T05:42:13Z | 0 | 1 |
[
"task_categories:text-generation",
"size_categories:10K<n<100K",
"language:en",
"license:apache-2.0",
"human_feedback",
"arxiv:2311.04155",
"region:us"
] |
[
"text-generation"
] | 2023-11-19T06:20:37Z |
---
license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- human_feedback
size_categories:
- 10K<n<100K
pretty_name: BPO
---
# Dataset Card for Black-box Prompt Optimization (BPO)
## Dataset Description
- **Repository:** https://github.com/thu-coai/BPO
- **Paper:** https://arxiv.org/abs/2311.04155
- **Model:**
### Data Summary
To advance the development of alignment in language models, we introduce a black-box alignment method. BPO enhances the alignment of various Large Language Models (LLMs) with human preferences using only a plug-and-play model. To further promote alignment work from the prompting perspective, we are releasing the BPO Dataset. This dataset comprises 14,395 entries of prompt optimization pairs, constructed using open-source feedback data with OpenAI's `gpt-3.5-turbo` engine. We have thoroughly ensured the quality and diversity of the data through careful filtering and correction.
Please refer to our [paper](https://arxiv.org/abs/2311.04155) for further details.
### Supported Tasks
The BPO Dataset is designed for Prompt Optimization / Engineering task. As we have carefully flitered and curated the dataset, it is also a good choice for SFT or RLHF.
### Language
The data in BPO are in English.
## Data Structure
### Data Instances
An example of "train" looks as follows:
```json
{
"prompt": "Minimize the following data set\n[3, 4, 6, 7, 8, 10]",
"optimized_prompt": "Provide a step-by-step solution to minimize the following data set: [3, 4, 6, 7, 8, 10].",
"good_res": "To minimize the values in the given data set, which is a list of numbers, you could sort them in ascending order as follows: [3, 4, 6, 7, 8, 10]. The minimized (least) value in this data set would be 3.",
"bad_res": "[3, 4, 6, 7, 8, 10]"
}
```
### Data Fields
The data fields are as follows:
* `prompt`: the original user input
* `optimized_prompt`: the optimized prompt based on feedback
* `good_res`: human-chosen (preferred) response
* `bad_res`: human-rejected response
### Data Splits
| | train | valid | test |
|---------------|------:|------:|------:|
| BPO | 13895 | 300 | 200 |
## Additional Information
### Source Data
Our feedback data come from the following open-sourced datasets:
- [OASST1](https://huggingface.co/datasets/OpenAssistant/oasst1)
- [hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf)
- [Alpaca-GPT4](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM/blob/main/data/comparison_data_v2.json)
- [Chatbot Arena Conversation](https://huggingface.co/datasets/lmsys/chatbot_arena_conversations)
### Other Known Limitations
- Feedback Data Quality: Due to our use of open-source feedback data, some human preferences included may not be entirely accurate.
- Task Diversity: Despite our efforts to filter and achieve a diverse dataset, these open-source datasets are clearly not sufficient to cover the wide variety of user queries.
- Optimized Prompts: The optimized prompts are auto-generated by `gpt-3.5-turbo` based on feedback data. Even though we have manually reviewed and modified the dataset, we cannot guarantee that all prompt optimizations are correct.
### Citation Information
```
@article{cheng2023black,
title={Black-Box Prompt Optimization: Aligning Large Language Models without Model Training},
author={Cheng, Jiale and Liu, Xiao and Zheng, Kehan and Ke, Pei and Wang, Hongning and Dong, Yuxiao and Tang, Jie and Huang, Minlie},
journal={arXiv preprint arXiv:2311.04155},
year={2023}
}
```
|
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] |
PaulLoisel/mlp_splitted
|
PaulLoisel
| 2023-11-20T08:36:47Z | 0 | 0 |
[
"region:us"
] | null | 2023-11-19T06:59:33Z |
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: val
path: data/val-*
dataset_info:
features:
- name: purchased_products
dtype: float64
- name: review_time_spent
dtype: float64
- name: label
dtype: int64
- name: text
dtype: string
- name: Beauty Products
dtype: float64
- name: Furniture
dtype: float64
- name: Toys
dtype: float64
splits:
- name: train
num_bytes: 636.6
num_examples: 3
- name: test
num_bytes: 212.2
num_examples: 1
- name: val
num_bytes: 212.2
num_examples: 1
download_size: 15368
dataset_size: 1061.0
---
# Dataset Card for "mlp_splitted"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
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] |
Hamid1212/ExploreGB
|
Hamid1212
| 2023-11-19T07:15:56Z | 0 | 0 |
[
"license:apache-2.0",
"region:us"
] | null | 2023-11-19T07:03:25Z |
---
license: apache-2.0
---
|
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] |
Darok/Lamini-instructions-to-french
|
Darok
| 2023-11-19T07:38:54Z | 0 | 0 |
[
"license:mit",
"region:us"
] | null | 2023-11-19T07:36:49Z |
---
license: mit
---
|
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] |
kimjisoobkkai/EsioVocais
|
kimjisoobkkai
| 2023-11-19T08:37:02Z | 0 | 0 |
[
"license:openrail",
"region:us"
] | null | 2023-11-19T08:31:18Z |
---
license: openrail
---
|
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DBQ/Bottega.Veneta.Product.prices.South.Korea
|
DBQ
| 2023-11-19T08:31:58Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Bottega Veneta",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:31:53Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: South Korea - Bottega Veneta - Product-level price list
tags:
- webscraping
- ecommerce
- Bottega Veneta
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 2034097
num_examples: 4463
download_size: 591026
dataset_size: 2034097
---
# Bottega Veneta web scraped data
## About the website
**Bottega Veneta** operates in the **luxury fashion industry** in Asia Pacific, where numerous high-end brands engage in fierce competition to capture the attention and spending capabilities of affluent consumers. In particular, South Korea stands as a notable hub for luxury fashion, underpinned by growing economic affluence, sophisticated consumers, and the cultural wave commonly referred to as the "Hallyu Wave". The market is heavily influenced by digital platforms, with the **ecommerce sector** playing a substantial role. The dataset on hand provides detailed insights into the **Ecommerce product-list page (PLP) data** of Bottega Veneta in South Korea, offering valuable cues about their market positioning and performance in this dynamic landscape.
## Link to **dataset**
[South Korea - Bottega Veneta - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Bottega%20Veneta%20Product-prices%20South%20Korea/r/rec7XB9ZpvrruDvJ6)
|
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] |
DBQ/Prada.Product.prices.Spain
|
DBQ
| 2023-11-19T08:33:06Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Prada",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:33:00Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Spain - Prada - Product-level price list
tags:
- webscraping
- ecommerce
- Prada
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1271627
num_examples: 2528
download_size: 382577
dataset_size: 1271627
---
# Prada web scraped data
## About the website
Prada operates in the luxury fashion industry, a sector which embodies high-end clothing, footwear, and accessories. This industry has seen robust growth across the EMEA region, with Spain playing a significant role in this expansion. The competitive landscape is marked by both local Spanish designers and major international brands like **Prada**. The ever-increasing digital presence is notable, with a wealth of **Ecommerce product-list page (PLP) data** available. This data reveals exciting insights into consumer preferences, sales trends, and buying behaviors. Ecommerce is key to widening access to luxury fashion, making **Prada in Spain** even more noteworthy in this advancing digital age.
## Link to **dataset**
[Spain - Prada - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Prada%20Product-prices%20Spain/r/recq1QlhDyI2F1rap)
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DBQ/Prada.Product.prices.Sweden
|
DBQ
| 2023-11-19T08:33:25Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Prada",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:33:21Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Sweden - Prada - Product-level price list
tags:
- webscraping
- ecommerce
- Prada
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1284630
num_examples: 2548
download_size: 389265
dataset_size: 1284630
---
# Prada web scraped data
## About the website
The **Luxury Fashion Industry** in the EMEA region, particularly in **Sweden**, is a thriving market with high demand for exclusive and high-end products. **Prada**, a renowned player in this industry, holds a significant presence. The industry is currently experiencing a significant shift towards **digitalization** and **online retail**, also known as **Ecommerce**, fueled by changing consumer behaviors and advancements in technology. A concrete example is the analysis of **Ecommerce product-list page (PLP) data on Prada** in Sweden, which provides valuable insights into consumer preferences, purchasing power, and market trends, ultimately supporting decision-making processes. The dataset observed has shown the intricate correlation between consumer behavior and online retail success for luxury brands.
## Link to **dataset**
[Sweden - Prada - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Prada%20Product-prices%20Sweden/r/recyFcsPATKx39Zip)
|
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DBQ/Prada.Product.prices.Italy
|
DBQ
| 2023-11-19T08:33:38Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Prada",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:33:33Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Italy - Prada - Product-level price list
tags:
- webscraping
- ecommerce
- Prada
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1274261
num_examples: 2533
download_size: 364017
dataset_size: 1274261
---
# Prada web scraped data
## About the website
The **fashion industry in EMEA**, particularly in **Italy**, is long-standing and globally respected, with prestigious fashion houses and excellent craftsmanship. One of the leading fashion brands in Italy is **Prada**, an iconic name synonymous with luxury and style. Prada operates in a competitive space characterized by innovative design, high-quality materials, and cultivating desirability through brand prestige. Lately, the fashion industry, including Prada, has been increasingly moving towards the digital space. With the surge in online shopping trends, **Ecommerce** has become increasingly relevant. The dataset observed provides insights from **Ecommerce product-list page (PLP) data** specific to the Prada brand in the Italian market.
## Link to **dataset**
[Italy - Prada - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Prada%20Product-prices%20Italy/r/recUq5K9dC8eYLDss)
|
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] |
DBQ/Net.a.Porter.Product.prices.Singapore
|
DBQ
| 2023-11-19T08:34:06Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Net",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:33:58Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Singapore - Net-a-Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 20913147
num_examples: 51236
download_size: 6382332
dataset_size: 20913147
---
# Net-a-Porter web scraped data
## About the website
The **Ecommerce fashion industry** in the **Asia Pacific** region, particularly in **Singapore**, is rapidly evolving with numerous avenues opening up for luxury fashion retailers such as **Net-a-Porter**. The city-state presents a huge potential market with its affluent consumer base and high internet penetration rate. It is considered a fashion-literate market with a strong inclination towards high-end labels. The increase in digital transformation and uptake of online shopping trends have given an additional push to the luxury ecommerce sector here. The dataset in focus carries **Ecommerce product-list page (PLP) data** on **Net-a-Porter** operations within Singapore, providing valuable insights into customer preferences and buying behaviors in this market.
## Link to **dataset**
[Singapore - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20Singapore/r/recJO3YUjaf8BAyJ4)
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DBQ/Dior.Product.prices.Australia
|
DBQ
| 2023-11-19T08:34:29Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Dior",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:34:24Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Australia - Dior - Product-level price list
tags:
- webscraping
- ecommerce
- Dior
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1434453
num_examples: 3644
download_size: 414510
dataset_size: 1434453
---
# Dior web scraped data
## About the website
The **luxury fashion industry** is a prominent sector in the **Asia Pacific region**, particularly in **Australia**. This industry features numerous global brands, with **Dior** being one of the most popular. Over the years, Australia has seen drastic growth in high-end fashion demand, driven by increasingly affluent consumers desiring international luxury labels. Ecommerce has significantly facilitated this growth. The dataset we observed includes **Ecommerce product-list page (PLP) data** on Dior in Australia. This data provides insights into Diors online product offerings, consumer interests, and purchasing habits in the Australian market.
## Link to **dataset**
[Australia - Dior - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Dior%20Product-prices%20Australia/r/recw4dCGHCI9eSFD8)
|
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] |
DBQ/Gucci.Product.prices.Qatar
|
DBQ
| 2023-11-19T08:34:43Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Gucci",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:34:37Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Qatar - Gucci - Product-level price list
tags:
- webscraping
- ecommerce
- Gucci
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 2414601
num_examples: 5067
download_size: 719886
dataset_size: 2414601
---
# Gucci web scraped data
## About the website
In the EMEA region, particularly in **Qatar**, the luxury fashion industry is thriving and demonstrating significant growth. The Italian luxury fashion brand, **Gucci**, is a major player in this industry. A crucial component of its business model and regional success is the **e-commerce sector**, which is rapidly gaining popularity among consumers. E-commerce platforms provide an important avenue for global brands to reach local consumers seamlessly and efficiently, thus driving their sales. The dataset under consideration offers valuable insights into the **Ecommerce product-list page (PLP) data on Gucci** in this wealthy Middle Eastern nation. It reveals the brands online performance, product catalogue, pricing strategy, and more.
## Link to **dataset**
[Qatar - Gucci - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Gucci%20Product-prices%20Qatar/r/recI7K2eHwzEhEyNk)
|
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] |
DBQ/Gucci.Product.prices.Bulgaria
|
DBQ
| 2023-11-19T08:34:56Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Gucci",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:34:51Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Bulgaria - Gucci - Product-level price list
tags:
- webscraping
- ecommerce
- Gucci
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 2466564
num_examples: 5170
download_size: 723057
dataset_size: 2466564
---
# Gucci web scraped data
## About the website
**Gucci** operates within the high-end **luxury fashion industry** in the **EMEA** region, particularly in **Bulgaria**. Bulgarias luxury market shows constant growth, driven by an increase in affluent tourists and a growing upper class with a taste for high-end fashion. With Guccis presence, the industry displays a substantial potential for further expansion. The dataset under consideration provides **Ecommerce product-list page (PLP) data on Gucci in Bulgaria**, offering valuable insights into product preferences, customer behavior, and market trends. This data is crucial for understanding the dynamic luxury fashion industry in Bulgaria and forming effective business strategies.
## Link to **dataset**
[Bulgaria - Gucci - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Gucci%20Product-prices%20Bulgaria/r/recAVa3OpTL3hE2Ow)
|
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DBQ/Net.a.Porter.Product.prices.Japan
|
DBQ
| 2023-11-19T08:35:18Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Net",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:35:10Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Japan - Net-a-Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 20926211
num_examples: 51262
download_size: 6397759
dataset_size: 20926211
---
# Net-a-Porter web scraped data
## About the website
The **e-commerce industry** in the **Asia Pacific** region is flourishing, with a distinctive leap in **Japan**. **Net-a-Porter**, a pilot retailer in the luxury fashion online retail industry, has made an intriguing impression. The **Japanese market**, known for its pioneering technology and advancement, is a hotbed for luxury fashion e-commerce platforms. Rapid digital transformation and high consumer acceptance of online shopping have only fast-tracked e-commerce growth in Japan. It has been observed that the dataset encompasses **Ecommerce product-list page (PLP) data** on **Net-a-Porter** in **Japan**, offering fruitful insights into the market trends, consumer preferences, and business strategies.
## Link to **dataset**
[Japan - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20Japan/r/recfF82XrwpERvmrv)
|
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] |
DBQ/Prada.Product.prices.Hong.Kong
|
DBQ
| 2023-11-19T08:35:39Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Prada",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:35:34Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Hong Kong - Prada - Product-level price list
tags:
- webscraping
- ecommerce
- Prada
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 838913
num_examples: 1692
download_size: 234539
dataset_size: 838913
---
# Prada web scraped data
## About the website
**Prada** operates in the high-end fashion industry in the **Asia Pacific** region, particularly in **Hong Kong**. This industry in Asia Pacific is notable for its rapid growth and great potential due to increasing income level and changing consumption behavior. Hong Kong is a prominent hub for luxury retail markets, which gives Prada a strategic advantage. With the rise of advanced technology and increasing use of digital platforms in this era, Prada has also adopted **Ecommerce** as one its business operations. The dataset observed has detailed **Ecommerce product-list page (PLP) data** on Pradas products and sales in Hong Kong, reflecting the brands performance and market trends.
## Link to **dataset**
[Hong Kong - Prada - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Prada%20Product-prices%20Hong%20Kong/r/recTtpWP1VKVUmHVp)
|
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DBQ/Louis.Vuitton.Product.prices.Singapore
|
DBQ
| 2023-11-19T08:35:58Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Louis Vuitton",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:35:54Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Singapore - Louis Vuitton - Product-level price list
tags:
- webscraping
- ecommerce
- Louis Vuitton
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 2796943
num_examples: 6576
download_size: 748428
dataset_size: 2796943
---
# Louis Vuitton web scraped data
## About the website
The **Luxury Fashion Industry** is a flourishing industry in the **Asia Pacific region**, particularly in countries like **Singapore**, known for its affluent consumer base. This industry observes leading fashion houses, such as **Louis Vuitton**, creating a significant footprint through a combination of physical boutiques and a robust **Ecommerce** presence. The competitive dynamics of this sphere are driven by high-end fashion trends, exclusivity, and premium pricing. The **Ecommerce product-list page (PLP) data** provide valuable insights about consumer preferences and behavior. These insights further influence the marketing strategies, thus shaping the overall growth of premium brands like Louis Vuitton in Singapores Luxury Fashion Industry.
## Link to **dataset**
[Singapore - Louis Vuitton - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Louis%20Vuitton%20Product-prices%20Singapore/r/rectQmgk2z4KcCwrz)
|
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DBQ/Balenciaga.Product.prices.Hong.Kong
|
DBQ
| 2023-11-19T08:36:17Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Balenciaga",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:36:13Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Hong Kong - Balenciaga - Product-level price list
tags:
- webscraping
- ecommerce
- Balenciaga
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 858709
num_examples: 2307
download_size: 274910
dataset_size: 858709
---
# Balenciaga web scraped data
## About the website
Balenciaga operates within the **luxury fashion industry** in the **Asia Pacific region**, specifically in **Hong Kong**, which is known for its strong demand for high-end fashion. As part of the global trend, the industry has shifted towards **Ecommerce**, which has been growing significantly in the past few years. The dataset observed includes **Ecommerce product-list page (PLP) data on Balenciaga in Hong Kong**, providing valuable insights into the market. **Product listings**, pricing, and availability data are examples of the information included. Other geographic details or types of data can be found on the [Balenciaga main page](https://www.databoutique.com/buy-data-list-subset/Balenciaga web scraped data/r/rec0EGCU96DEBdTOE).
## Link to **dataset**
[Hong Kong - Balenciaga - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Balenciaga%20Product-prices%20Hong%20Kong/r/recR8PANJMgN5obaw)
|
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DBQ/My.Theresa.Product.prices.France
|
DBQ
| 2023-11-19T08:36:47Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"My Theresa",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:36:36Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: France - My Theresa - Product-level price list
tags:
- webscraping
- ecommerce
- My Theresa
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 33767177
num_examples: 96985
download_size: 9819978
dataset_size: 33767177
---
# My Theresa web scraped data
## About the website
Observing the dataset, we gather detailed insights into the **Ecommerce** industry of the **EMEA** region, with a primary focus on **France**. Specifically, the Ecommerce domain in this country entails online transactional activities geared towards buying or selling goods and services. The industry has noted considerable growth owing to the increased digitization and emerging tech trends directing consumer interaction. **My Theresa**, a prominent player in this sector, operates with prominence in the high-end fashion retail aspect of Ecommerce. The dataset contains comprehensive **Ecommerce product-list page (PLP) data** on this player, delineating its operational metrics and strategic profile in France.
## Link to **dataset**
[France - My Theresa - Product-level price list dataset](https://www.databoutique.com/buy-data-page/My%20Theresa%20Product-prices%20France/r/recFmCsM3UDH5dtZT)
|
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DBQ/Net.a.Porter.Product.prices.Bulgaria
|
DBQ
| 2023-11-19T08:37:12Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Net",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:37:04Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Bulgaria - Net-a-Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 17315272
num_examples: 42495
download_size: 5416362
dataset_size: 17315272
---
# Net-a-Porter web scraped data
## About the website
The **Ecommerce industry** in the EMEA region, particularly in **Bulgaria**, is a rapidly growing sector due to increased internet penetration and adoption of digital shopping habits. **Net-a-Porter**, a notable player in this sector, operates in the luxury fashion ecommerce market. The company has a strong presence in Bulgaria, catering to a consumer base with a preference for signature and luxury fashion brands. The dataset observed includes **Ecommerce product-list page (PLP) data** on Net-a-Porter within Bulgaria. This data offers valuable insights into customer shopping behavior, purchase patterns, and preferences, which are crucial for strategizing and optimizing ecommerce operations in the region.
## Link to **dataset**
[Bulgaria - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20Bulgaria/r/recgHEJtS0jL44luU)
|
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] |
DBQ/Saint.Laurent.Product.prices.United.Kingdom
|
DBQ
| 2023-11-19T08:37:34Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Saint Laurent",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:37:29Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: United Kingdom - Saint Laurent - Product-level price list
tags:
- webscraping
- ecommerce
- Saint Laurent
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1235575
num_examples: 3063
download_size: 376994
dataset_size: 1235575
---
# Saint Laurent web scraped data
## About the website
Saint Laurent operates within the **luxury fashion** industry in the Europe, the Middle East and Africa (EMEA) region, with significant impact in the **United Kingdom**. This industry is characterised by prestigious brands offering high-quality, expensive products which are often seen as a status symbol. There has notably been a shift in the industry towards **Ecommerce** sales, owing to customers’ increasing preference for online shopping. Within this dataset, we have obtained **Ecommerce product-list page (PLP) data** specifically for **Saint Laurent in the United Kingdom**, offering detailed insights into the brands online performance in this specific market.
## Link to **dataset**
[United Kingdom - Saint Laurent - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Saint%20Laurent%20Product-prices%20United%20Kingdom/r/recNRYRcXAYJCmE6x)
|
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DBQ/Balenciaga.Product.prices.China
|
DBQ
| 2023-11-19T08:37:52Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Balenciaga",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:37:48Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: China - Balenciaga - Product-level price list
tags:
- webscraping
- ecommerce
- Balenciaga
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 619495
num_examples: 1944
download_size: 176304
dataset_size: 619495
---
# Balenciaga web scraped data
## About the website
The **fashion industry** in the **Asia Pacific** region, particularly in **China**, is a hotbed of activity. It is one of the most lucrative markets in the world, spurred by a fast-growing middle class with an increased appetite for luxury products. The Chinese market, especially, plays host to many high-end, luxury fashion brands like **Balenciaga**. A significant transition has been noted in the mode of shopping, with a sharp turn towards **Ecommerce**. The dataset represents **Ecommerce product-list page (PLP) data** specific to Balenciagas online marketplace in China, highlighting the extensive variety of products offered by this luxury fashion house in the booming Chinese digital market.
## Link to **dataset**
[China - Balenciaga - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Balenciaga%20Product-prices%20China/r/recUPih9uOFY6nzNC)
|
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DBQ/Louis.Vuitton.Product.prices.Russia
|
DBQ
| 2023-11-19T08:38:07Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Louis Vuitton",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:38:01Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Russia - Louis Vuitton - Product-level price list
tags:
- webscraping
- ecommerce
- Louis Vuitton
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 3013022
num_examples: 6543
download_size: 817757
dataset_size: 3013022
---
# Louis Vuitton web scraped data
## About the website
The **luxury fashion industry** in the **EMEA** region, particularly in **Russia**, is characterized by a growing demand for high-end products from renowned brands. **Louis Vuitton**, a global leader in this industry, caters to this escalating demand through their extensive range of luxury clothing, accessories, and luggage. The brand has significantly increased its presence in Russia by leveraging the power of **Ecommerce**, effectively reaching out to a wider targeted audience. Within this dataset, **Ecommerce product-list page (PLP)** data has been specifically examined for Louis Vuittons operations in the Russian market, reflecting the companys online strategy and consumer appeal in the region.
## Link to **dataset**
[Russia - Louis Vuitton - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Louis%20Vuitton%20Product-prices%20Russia/r/recdaAlMIm9kxriKT)
|
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] |
DBQ/Mr.Porter.Product.prices.Netherlands
|
DBQ
| 2023-11-19T08:38:23Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Mr Porter",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:38:17Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Netherlands - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 9095427
num_examples: 27680
download_size: 2072546
dataset_size: 9095427
---
# Mr Porter web scraped data
## About the website
The **fashion retail industry** in EMEA, specifically in the **Netherlands**, is a well-established and diverse marketplace encompassing a broad spectrum of brands and products. The ever-evolving landscape has witnessed a shift from traditional high-street stores to online platforms like **Mr Porter**, a trend accelerated by the pandemic. A vital player in the **menswear luxury online retailer** sector, Mr Porter has paved the way for breakthroughs in the **e-commerce** space. The dataset observed provides **Ecommerce product-list page (PLP)** data on **Mr Porter in Netherlands**, offering valuable insights into consumer behavior, purchasing habits, and popular product categories in the region.
## Link to **dataset**
[Netherlands - Mr Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Mr%20Porter%20Product-prices%20Netherlands/r/recsmLp2flO8XRue5)
|
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] |
DBQ/Farfetch.Product.prices.United.Kingdom
|
DBQ
| 2023-11-19T08:39:53Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Farfetch",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:38:56Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: United Kingdom - Farfetch - Product-level price list
tags:
- webscraping
- ecommerce
- Farfetch
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 229625994
num_examples: 613571
download_size: 80532862
dataset_size: 229625994
---
# Farfetch web scraped data
## About the website
Farfetch operates in the dynamic and rapidly evolving **E-commerce industry** in the **EMEA**, particularly in the **United Kingdom**. This sector is marked by intense digital transformation with a growing shift towards online shopping. Notably, the fashion and lifestyle segment of e-commerce is witnessing massive growth. The **UK E-commerce sector** is marked by high internet penetration rates, favourable consumer attitudes, and advances in technology. This has resulted in a significant increase in online transactions, specifically within the fashion industry. The dataset under review contains **Ecommerce product-list page (PLP) data** on **Farfetch** in the United Kingdom, indicating a comprehensive overview of the company’s digital profile in the UK market.
## Link to **dataset**
[United Kingdom - Farfetch - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Farfetch%20Product-prices%20United%20Kingdom/r/rec4fnXBKT4UpoaXk)
|
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DBQ/Net.a.Porter.Product.prices.Poland
|
DBQ
| 2023-11-19T08:40:20Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Net",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:40:13Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Poland - Net-a-Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 17622494
num_examples: 43226
download_size: 5517346
dataset_size: 17622494
---
# Net-a-Porter web scraped data
## About the website
The **EMEA industry**, particularly in **Poland**, where **Net-a-Porter** operates, is represented by the **online fashion retail sector**. This industry has faced significant growth in the last few years due to increased internet penetration and consumer preference for online shopping. Polish e-commerce market has drastically expanded, with a growing number of consumers becoming more comfortable in purchasing a variety of products online. The **dataset** observed pertains to the **Ecommerce product-list page (PLP) data on Net-a-Porter in Poland**. This data provides valuable insights into shopping trends, customer preferences, and overall performance of products on the online platform.
## Link to **dataset**
[Poland - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20Poland/r/recreBSBJ60wTY54C)
|
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] |
DBQ/Gucci.Product.prices.Hong.Kong
|
DBQ
| 2023-11-19T08:40:37Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Gucci",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:40:32Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Hong Kong - Gucci - Product-level price list
tags:
- webscraping
- ecommerce
- Gucci
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 2080541
num_examples: 4398
download_size: 643102
dataset_size: 2080541
---
# Gucci web scraped data
## About the website
The **fashion and luxury goods industry** is a rapidly growing sector in the **Asia Pacific** region, particularly in **Hong Kong**. A focal point of high-end shopping, Hong Kong attracts both Asian and international luxury brands such as **Gucci**. The growth of **online shopping** has a significant impact on the market, with brands leveraging **e-commerce platforms** to reach a broader audience. The dataset available encompasses **Ecommerce product-list page (PLP) data** on Gucci in this thriving city. For more insights on Gucci in other regions or data types, please visit the main page [here](https://www.databoutique.com/buy-data-list-subset/Gucci web scraped data/r/recr1rIJ15FC7ckn4).
## Link to **dataset**
[Hong Kong - Gucci - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Gucci%20Product-prices%20Hong%20Kong/r/recQfC0w2NW4NhnCX)
|
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DBQ/Prada.Product.prices.Austria
|
DBQ
| 2023-11-19T08:40:58Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Prada",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:40:53Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Austria - Prada - Product-level price list
tags:
- webscraping
- ecommerce
- Prada
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1280254
num_examples: 2545
download_size: 387267
dataset_size: 1280254
---
# Prada web scraped data
## About the website
The fashion industry, particularly the luxury fashion segment, exhibits a vast and dynamic scope in the Europe, Middle East, and Africa (EMEA) region, with Austria playing a crucial role in its positive trajectory. **Prada**, a prominent luxury fashion icon, continues to thrive in Austrias competitive market. **The industry** is significantly propelled by advancements in technology, leading to a surge in **Ecommerce** platforms. A recent dataset provides insights into the **Ecommerce product-list page (PLP) data** of Prada in Austria. Such data is critical in understanding consumer preferences, purchasing patterns and overall market trends, subsequently influencing strategic business decisions and marketing campaigns.
## Link to **dataset**
[Austria - Prada - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Prada%20Product-prices%20Austria/r/recYuVyhn9tiSVuIh)
|
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DBQ/Mr.Porter.Product.prices.Slovakia
|
DBQ
| 2023-11-19T08:41:16Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Mr Porter",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:41:10Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Slovakia - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 9143481
num_examples: 27826
download_size: 2072283
dataset_size: 9143481
---
# Mr Porter web scraped data
## About the website
The **Ecommerce** industry in the EMEA region, particularly in **Slovakia**, has seen significant growth in recent years. **Mr Porter**, a renowned luxury menswear retailer, operates within this sector. Slovakia, characterized by a rising middle class and increased internet penetration, provides fertile ground for Ecommerce growth. Key factors driving this industry growth include advanced online payments and an efficient logistics infrastructure for product delivery. This study utilized a dataset containing **product-list page (PLP)** data from Mr Porter’s operations in Slovakia, thereby providing invaluable insight into this flourishing Ecommerce market.
## Link to **dataset**
[Slovakia - Mr Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Mr%20Porter%20Product-prices%20Slovakia/r/recUwnNbtqOugybPd)
|
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DBQ/Burberry.Product.prices.United.States
|
DBQ
| 2023-11-19T08:41:29Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Burberry",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:41:24Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: United States - Burberry - Product-level price list
tags:
- webscraping
- ecommerce
- Burberry
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 969198
num_examples: 3038
download_size: 287409
dataset_size: 969198
---
# Burberry web scraped data
## About the website
Burberry operates within the **luxury fashion industry** in the United States, which is a segment of the wider **retail industry**. The American market is highly competitive and renowned for its considerable consumer spending. **E-commerce** has become a vital platform for luxury brands like Burberry to extend their customer reach, especially amid changing shopping habits among consumers. The **online luxury fashion market** in the United States has seen exponential growth, with more consumers turning to the convenience and vast product selection of online shopping. The dataset observed includes **Ecommerce product-list page (PLP) data** on Burberry in the United States.
## Link to **dataset**
[United States - Burberry - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Burberry%20Product-prices%20United%20States/r/rec3QS3ibv3mus8AY)
|
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DBQ/Hermes.Product.prices.South.Korea
|
DBQ
| 2023-11-19T08:41:42Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Hermes",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:41:38Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: South Korea - Hermes - Product-level price list
tags:
- webscraping
- ecommerce
- Hermes
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: int64
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 225974
num_examples: 607
download_size: 56424
dataset_size: 225974
---
# Hermes web scraped data
## About the website
The **luxury retail industry** in the **Asia Pacific** region, particularly in **South Korea**, has been witnessing significant growth in the recent years. Undeniably fuelled by a rising middle-class population, increasing disposable income, and rapid urbanization, luxury goods demand is booming. French high-fashion label, **Hermes**, is one of the giants operating in this market. The brand has established a remarkable presence in South Korea, catering to the ever-evolving tastes of the affluent consumers. The dataset observed provides **Ecommerce product-list page (PLP) data on Hermes** in South Korea, reflecting the consumer preferences and shopping patterns in the digital sphere of luxury retail.
## Link to **dataset**
[South Korea - Hermes - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Hermes%20Product-prices%20South%20Korea/r/recovPN1p4g399g3n)
|
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DBQ/Burberry.Product.prices.France
|
DBQ
| 2023-11-19T08:41:56Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Burberry",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:41:51Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: France - Burberry - Product-level price list
tags:
- webscraping
- ecommerce
- Burberry
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1084708
num_examples: 3298
download_size: 320925
dataset_size: 1084708
---
# Burberry web scraped data
## About the website
The **Burberry** brand operates within the **luxury fashion industry** in the EMEA region, particularly in **France**. This sector primarily focuses on the creation and retail of upscale clothing and accessories that are well-renowned among high-end consumers. It is characterized by exclusive distribution methods, high-quality materials, and strong branding. France, especially Paris, is recognized as a global center for luxury fashion, underpinned by famous fashion houses, influential designers and high-profile fashion events. The observed dataset comprises of **Ecommerce product-list page (PLP) data** specifically related to Burberry in the French market, reflecting the brands digital presence and sales in the region.
## Link to **dataset**
[France - Burberry - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Burberry%20Product-prices%20France/r/rectNx7vaD6XOvbMI)
|
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DBQ/Mr.Porter.Product.prices.Croatia
|
DBQ
| 2023-11-19T08:42:12Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Mr Porter",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:42:06Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Croatia - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 9058352
num_examples: 27570
download_size: 2057404
dataset_size: 9058352
---
# Mr Porter web scraped data
## About the website
The **EMEA industry**, and specifically the **Croatian market**, have recently witnessed substantial growth in the **ecommerce sector**, transforming the way customers shop for goods and services. A leading contributor to this growth is **Mr Porter**, a key player in online retail. The dataset examined offers extensive coverage of **Ecommerce product-list page (PLP)** data on Mr Porter in Croatia. This information allows us to track trends, monitor performance, and predict future behavior of customers, offering invaluable insights into a highly competitive and rapidly growing industry. Additionally, it provides comprehensive consumer buying patterns, preferences, and habits, unlocking opportunities in Croatias ecommerce space.
## Link to **dataset**
[Croatia - Mr Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Mr%20Porter%20Product-prices%20Croatia/r/recd0Jmn7INgElyiD)
|
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DBQ/Net.a.Porter.Product.prices.Turkey
|
DBQ
| 2023-11-19T08:42:30Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Net",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:42:23Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Turkey - Net-a-Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 16787036
num_examples: 41170
download_size: 4937471
dataset_size: 16787036
---
# Net-a-Porter web scraped data
## About the website
The **Net-a-Porter** company operates within the **Ecommerce industry** in the **EMEA region**, particularly in **Turkey**. This expansive sector primarily focuses on the buying and selling of goods and services through the internet, showcasing an array of products from various providers on a global scale. Over the past few years, the Ecommerce sector in Turkey has experienced rapid growth, leading to a highly competitive market. Companies within this frame such as Net-a-Porter have to consistently develop and implement effective strategies to stay ahead. The dataset analyzed consists of **Ecommerce product-list page (PLP) data** on Net-a-Porters online operations in Turkey.
## Link to **dataset**
[Turkey - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20Turkey/r/recJ70Nant3WEl1FS)
|
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DBQ/Blickers.Product.prices.Italy
|
DBQ
| 2023-11-19T08:42:48Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Blickers",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:42:40Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Italy - Blickers - Product-level price list
tags:
- webscraping
- ecommerce
- Blickers
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 11209876
num_examples: 29548
download_size: 5407387
dataset_size: 11209876
---
# Blickers web scraped data
## About the website
The **Ecommerce industry** in the **EMEA** region, particularly in **Italy**, has exhibited a significant growth due to the digital transformation and increased online shopping trends. The **Blickers company** operates within this thriving sector. As per the examined dataset, which includes **Ecommerce product-list page (PLP) data** about Blickers online store, it is evident that the company is performing robustly in the Italian market. This dataset offers crucial insights about the online behavior of shoppers on Blickers website, helping understand their preferences and patterns. This vital information remains instrumental in shaping digital marketing strategies to ensure better customer engagement and retention.
## Link to **dataset**
[Italy - Blickers - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Blickers%20Product-prices%20Italy/r/recSiB2rUhdVgNeDj)
|
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DBQ/Saint.Laurent.Product.prices.South.Korea
|
DBQ
| 2023-11-19T08:43:10Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Saint Laurent",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:43:05Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: South Korea - Saint Laurent - Product-level price list
tags:
- webscraping
- ecommerce
- Saint Laurent
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1548448
num_examples: 3018
download_size: 468846
dataset_size: 1548448
---
# Saint Laurent web scraped data
## About the website
The **fashion industry** in the **Asia Pacific**, particularly in **South Korea**, is thriving and recognized for its dynamic adaptability to global styling trends. Central to this growth is the luxury segment that includes renowned brands such as **Saint Laurent**. Rapid digital transformation has occurred in this regions retail sector, most notably the rise of **Ecommerce**. Today, online retail portals serve as a significant sales channel for fashion brands. The dataset observed involves **Ecommerce product-list page (PLP)** data on Saint Laurent in South Korea which grants valuable insights into the online retail trends and consumer behaviors of the luxury brand in this region.
## Link to **dataset**
[South Korea - Saint Laurent - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Saint%20Laurent%20Product-prices%20South%20Korea/r/recnrJOE5NE4dFDeY)
|
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DBQ/Saint.Laurent.Product.prices.France
|
DBQ
| 2023-11-19T08:43:24Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Saint Laurent",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:43:19Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: France - Saint Laurent - Product-level price list
tags:
- webscraping
- ecommerce
- Saint Laurent
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1240501
num_examples: 3064
download_size: 377349
dataset_size: 1240501
---
# Saint Laurent web scraped data
## About the website
The **Fashion** and **Luxury** retail industry is a prominent economic sector in the EMEA, particularly in **France**, known globally as the birthplace of Haute Couture. Anchored by prestigious French fashion houses like **Saint Laurent**, France is a cornerstone in this industry. Its influence extends from high-end fashion districts in Paris to worldwide through **Ecommerce**. The observed data set specifically provides **Ecommerce product-list page (PLP) data** on Saint Laurents operations in France. This provides valuable insights into market trends, consumer preferences, and competitive landscape, all essential factors in steering brand strategies and maintaining market relevance in the dynamic world of luxury fashion.
## Link to **dataset**
[France - Saint Laurent - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Saint%20Laurent%20Product-prices%20France/r/rec6dHiH2JbY9XQx5)
|
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DBQ/Mr.Porter.Product.prices.Mexico
|
DBQ
| 2023-11-19T08:43:44Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Mr Porter",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:43:38Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Mexico - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 10096705
num_examples: 30806
download_size: 2355243
dataset_size: 10096705
---
# Mr Porter web scraped data
## About the website
The **Ecommerce** industry in Americas, particularly in **Mexico**, is a rapidly expanding sector, characterized by burgeoning online retail platforms and evolving shopping habits. Specifically, companies like **Mr. Porter** operate in the luxury online fashion industry where demand is driven by fashion-forward consumers seeking high-end products. With a robust digital infrastructure and growing smartphone penetration, Mexico has emerged as a vibrant market for ecommerce players to explore. The dataset observed comprises **Ecommerce product-list page (PLP) data** on Mr Porter in Mexico, reflecting their extensive product range and their efforts to cater to the evolving sartorial preferences of their Mexican consumer base.
## Link to **dataset**
[Mexico - Mr Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Mr%20Porter%20Product-prices%20Mexico/r/recoekZh2iD3HeBgY)
|
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DBQ/Mr.Porter.Product.prices.Hungary
|
DBQ
| 2023-11-19T08:44:03Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Mr Porter",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:43:57Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Hungary - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 9097423
num_examples: 27686
download_size: 2070861
dataset_size: 9097423
---
# Mr Porter web scraped data
## About the website
Mr Porter operates within the **online luxury fashion retail industry** in the **EMEA** region, particularly focusing on the arena of mens fashion in **Hungary**. This industry has been seeing notable growth owing to increasing internet penetration and the rising consumer interest in high-end fashion. **Ecommerce** has now become a significant component of the luxury fashion business model. The dataset studied particularly consists of **product-list page (PLP) data** for **Mr Porter in Hungary**, which is a valuable source of insight into consumer preferences for luxury mens fashion and the overall performance of the industry in this market.
## Link to **dataset**
[Hungary - Mr Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Mr%20Porter%20Product-prices%20Hungary/r/recevRWtytAuVgwUz)
|
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] |
DBQ/Hermes.Product.prices.China
|
DBQ
| 2023-11-19T08:44:21Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Hermes",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:44:16Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: China - Hermes - Product-level price list
tags:
- webscraping
- ecommerce
- Hermes
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: int64
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 164463
num_examples: 468
download_size: 41497
dataset_size: 164463
---
# Hermes web scraped data
## About the website
The luxury goods industry in the Asia Pacific, particularly in **China**, is experiencing significant growth driven by rising wealth and changing consumer preferences. **Hermes**, a high-end luxury brand, is a notable player within this affluent sector. This industrys success is tied to the robust **ecommerce** landscape in China, characterized by innovative digital platforms with extensive customer reach. The dataset examined contains **Ecommerce product-list page (PLP)** data specifically concerning Hermes operations in China. This provides valuable insights into the brands market position, product range, pricing strategy, and overall ecommerce performance in this vital region. In this dynamic, digital-centric luxury market, such data play an integral role in shaping strategic decisions.
## Link to **dataset**
[China - Hermes - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Hermes%20Product-prices%20China/r/recU7URlmCyJPIUaM)
|
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] |
DBQ/Farfetch.Product.prices.France
|
DBQ
| 2023-11-19T08:45:53Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Farfetch",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:44:54Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: France - Farfetch - Product-level price list
tags:
- webscraping
- ecommerce
- Farfetch
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 228976301
num_examples: 610641
download_size: 80985451
dataset_size: 228976301
---
# Farfetch web scraped data
## About the website
Farfetch operates in the **retail e-commerce industry** in the **EMEA region**, particularly in **France**. The industry involves an online platform where buyers and sellers exchange goods and services. France is characteristically a robust market with a growing number of internet users readily adopting online shopping. In this milieu, Farfetch has successfully positioned itself as a leading player. With a keen focus on luxury fashion, Farfetch has capitalized on the burgeoning appetite for high-end products in the French market. The dataset in question observed **Ecommerce product-list page (PLP)** data specifically on **Farfetch in France**, offering valuable insights into the online retail dynamics at play.
## Link to **dataset**
[France - Farfetch - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Farfetch%20Product-prices%20France/r/rec54rX4u2WYwmmzK)
|
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DBQ/Chanel.Product.prices.Italy
|
DBQ
| 2023-11-19T08:46:09Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Chanel",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:46:04Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Italy - Chanel - Product-level price list
tags:
- webscraping
- ecommerce
- Chanel
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 777179
num_examples: 1426
download_size: 201787
dataset_size: 777179
---
# Chanel web scraped data
## About the website
Operating within the highly competitive and exclusive **luxury fashion industry** in EMEA, notably in **Italy**, **Chanel** occupies a premium market position as one of the worlds most recognized fashion brands. This industry is characterized by high-quality, high-priced goods that are primarily targeted at affluent consumers. The industry’s trend towards digitalization has been particularly illustrative in recent years in response to changing consumer habits. The observed dataset contains **Ecommerce product-list page (PLP) data** on Chanels offerings in Italy, showcasing the brands extensive digital presence. Providing insight into Chanels online strategies, the data underscores the critical role of Ecommerce in Italys luxury fashion landscape.
## Link to **dataset**
[Italy - Chanel - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Chanel%20Product-prices%20Italy/r/recwA4XA1XVKUBLa6)
|
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] |
DBQ/Ounass.Product.prices.Oman
|
DBQ
| 2023-11-19T08:46:30Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Ounass",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:46:20Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Oman - Ounass - Product-level price list
tags:
- webscraping
- ecommerce
- Ounass
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 29313663
num_examples: 71958
download_size: 9088483
dataset_size: 29313663
---
# Ounass web scraped data
## About the website
Ounass operates within the **e-commerce industry in EMEA**, specifically within the **Luxury Fashion sector**. It is an integral part of the online retail market in the region, offering premium clothing, accessories, and home and beauty products. With a special focus on **Oman**, Ounass has made a significant footprint in the countrys e-commerce landscape, serving high-end customers with an expansive array of products from global luxury brands. The dataset observed contains **Ecommerce product-listing page (PLP) data** with focus on Ounass operations in Oman, offering insights into the companys product offerings, sales, and performance in the region.
## Link to **dataset**
[Oman - Ounass - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Ounass%20Product-prices%20Oman/r/recgVd1MMemHovvyX)
|
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DBQ/Loro.Piana.Product.prices.United.States
|
DBQ
| 2023-11-19T08:46:49Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Loro Piana",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:46:45Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: United States - Loro Piana - Product-level price list
tags:
- webscraping
- ecommerce
- Loro Piana
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 359379
num_examples: 1042
download_size: 125379
dataset_size: 359379
---
# Loro Piana web scraped data
## About the website
_Loro Piana_ operates in the _luxury fashion_ industry in the _United States_, focusing particularly on high-end, quality fabrics and materials. The brand is popular among wealthy Americans who crave its stylish, high-quality goods ranging from clothing to accessories. In this digital era, Loro Piana has also been proactively involved in the _Ecommerce_ space, maximizing their online presence across several platforms. The dataset includes _Ecommerce product-list page (PLP) data on Loro Piana_ in the United States, providing valuable insights into shopper behavior, products, and pricing strategies. The PLP data can significantly influence decisions surrounding merchandising, marketing, and overall digital strategy.
## Link to **dataset**
[United States - Loro Piana - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Loro%20Piana%20Product-prices%20United%20States/r/receVF2rgpIoU22l6)
|
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DBQ/Mr.Porter.Product.prices.Denmark
|
DBQ
| 2023-11-19T08:47:03Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Mr Porter",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:46:58Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Denmark - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 9132560
num_examples: 27793
download_size: 2087145
dataset_size: 9132560
---
# Mr Porter web scraped data
## About the website
The industry where **Mr Porter** operates in the EMEA region, especially in **Denmark**, revolves around **Ecommerce and Fashion Retail**. As an upscale online retail destination for men’s style, Mr Porter extensively employs digital marketing tactics to engage its customers. The **Ecommerce industry** in Denmark has shown considerable growth over the years, significantly in the fashion and lifestyle niche that Mr Porter inhabits. **Digital shopping**, influenced by convenience and wide product offerings, is becoming increasingly prevalent. The dataset observed provided valuable insight into Ecommerce product-list page (PLP) data on Mr Porter in Denmark, shedding light on market trends and consumer behavior.
## Link to **dataset**
[Denmark - Mr Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Mr%20Porter%20Product-prices%20Denmark/r/recF33dhCn5AsocBl)
|
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] |
DBQ/Fendi.Standard.Categories.Italy
|
DBQ
| 2023-11-19T08:47:15Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Fendi",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:47:11Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Italy - Fendi - Fashion Standard Categories
tags:
- webscraping
- ecommerce
- Fendi
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: dbq_prd_type
dtype: string
- name: competence_date
dtype: string
- name: website_name
dtype: string
- name: product_code
dtype: string
- name: tag_field
dtype: string
splits:
- name: train
num_bytes: 271821
num_examples: 3055
download_size: 56203
dataset_size: 271821
---
# Fendi web scraped data
## About the website
In the **EMEA** region, particularly in **Italy**, the **luxury fashion industry** has an immense influence and it significantly contributes to Italys economy. Brands such as **Fendi** are prominent players in this sector. Emphasizing on haute couture, ready-to-wear clothing, leather goods, shoes, fragrances, eyewear, timepieces and accessories, the industry has seen significant growth with the adoption of **Ecommerce**. Our dataset provides an insightful look at Ecommerce product tags data on Fendi products in Italy. The research data aids in understanding the online buying behavior of luxury fashion consumers in Italy, providing great potential for market analysis and strategy development.
## Link to **dataset**
[Italy - Fendi - Fashion Standard Categories dataset](https://www.databoutique.com/buy-data-page/Fendi%20Standard%20Categories%20Italy/r/recrd9vOREnRQ68V1)
|
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DBQ/Net.a.Porter.Product.prices.Canada
|
DBQ
| 2023-11-19T08:47:34Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Net",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:47:26Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Canada - Net-a-Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 17615783
num_examples: 43168
download_size: 5269305
dataset_size: 17615783
---
# Net-a-Porter web scraped data
## About the website
The **Ecommerce industry** is a growing sector in the Americas, especially in **Canada**. Businesses in this realm focus on the buying and selling of goods and services over electronic systems, particularly the internet. **Net-a-Porter**, as an online retail brand, operates within this sector by offering a wide range of luxury fashion items to their Canadian clientele. The dataset analyzed presents relevant **Ecommerce product-list page (PLP) data** from Net-a-Porters operations in Canada. This data provides insightful details about product availability, pricing, customer preferences and overall market trends within the Canadian digital retail landscape.
## Link to **dataset**
[Canada - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20Canada/r/reciFH7C8uAD2ZQgq)
|
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DBQ/Ounass.Product.prices.Qatar
|
DBQ
| 2023-11-19T08:47:57Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Ounass",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:47:47Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Qatar - Ounass - Product-level price list
tags:
- webscraping
- ecommerce
- Ounass
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 28197555
num_examples: 69623
download_size: 8717370
dataset_size: 28197555
---
# Ounass web scraped data
## About the website
Ounass operates in the dynamic and fast-growing **E-commerce industry** within the **EMEA region**, with a strong focus particularly in **Qatar**. The Qatari E-commerce industry is experiencing significant growth, fueled by the rapid digitization, high internet penetration, and a strong inclination towards online shopping among consumers. Particularly, the luxury segment, in which Ounass operates, witnesses a high demand driven by the nations affluent population. The dataset observed includes **Ecommerce product-list page (PLP) data** on Ounass operations in Qatar, offering comprehensive insights into the business strategies, consumer behavior, and emerging trends in this thriving marketplace.
## Link to **dataset**
[Qatar - Ounass - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Ounass%20Product-prices%20Qatar/r/rec6BSAJjNfjYBEUp)
|
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DBQ/Loro.Piana.Product.prices.France
|
DBQ
| 2023-11-19T08:48:10Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Loro Piana",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:48:06Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: France - Loro Piana - Product-level price list
tags:
- webscraping
- ecommerce
- Loro Piana
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 389433
num_examples: 1128
download_size: 131337
dataset_size: 389433
---
# Loro Piana web scraped data
## About the website
In the European, Middle Eastern and African (EMEA) region, specifically France, **Loro Piana** operates within the **luxury fashion industry**. This sector is renowned for its fine craftsmanship, superior quality, and the high value attached to its products. France, in particular, has long been a global center of luxury fashion with its capital, Paris, often referred to as the "fashion capital of the world". The industry is continuously evolving, incorporating **Ecommerce** and online platforms into their business models to meet the changing demands and preferences of its upscale clientele. In this context, we observed a dataset consisting of **Ecommerce product-list page (PLP) data** on Loro Piana in France.
## Link to **dataset**
[France - Loro Piana - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Loro%20Piana%20Product-prices%20France/r/recyuT3Im5gEtayt6)
|
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DBQ/Dior.Product.prices.Hong.Kong
|
DBQ
| 2023-11-19T08:48:23Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Dior",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:48:18Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Hong Kong - Dior - Product-level price list
tags:
- webscraping
- ecommerce
- Dior
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1740690
num_examples: 4426
download_size: 527496
dataset_size: 1740690
---
# Dior web scraped data
## About the website
The **fashion and luxury goods industry** in Asia Pacific, particularly in **Hong Kong**, is experiencing fast growth assisted by wealth creation and the consumers increasing desire for high-end products. **Dior**, one of the luxurious brands, has successfully penetrated this market. Through **ecommerce**, Dior has made strides in capturing more of the Hong Kong market. One dataset observed comprises **Ecommerce product-list page (PLP) data** on Dior in Hong Kong. An in-depth understanding of this data can provide better insights and strategies to further expand Diors reach. To access this information on other geographies or data types, visit the Dior main page [here](https://www.databoutique.com/buy-data-list-subset/Dior web scraped data/r/recmfaShm06mYeLTg).
## Link to **dataset**
[Hong Kong - Dior - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Dior%20Product-prices%20Hong%20Kong/r/recMSnjk1RoCuRXL4)
|
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DBQ/Saint.Laurent.Product.prices.Singapore
|
DBQ
| 2023-11-19T08:48:34Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Saint Laurent",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:48:30Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Singapore - Saint Laurent - Product-level price list
tags:
- webscraping
- ecommerce
- Saint Laurent
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1082234
num_examples: 2675
download_size: 320252
dataset_size: 1082234
---
# Saint Laurent web scraped data
## About the website
The **fashion industry** in the **Asia Pacific** region, particularly in **Singapore**, has seen a considerable upsurge with the onset of luxury brands like **Saint Laurent**. The aged-old perception of Singapore as a fashion follower is being gradually transformed with global luxury brands marking a conspicuous presence. The **luxury retail industry** has been significantly driven by the expansion of **ecommerce**. Specifically, ecommerce product-list page (PLP) data has relayed valuable insights about the brands performance and customer preferences. Ecommerce, coupled with digital media, has reshaped the luxury retail landscape ushering in promising growth trajectories.
## Link to **dataset**
[Singapore - Saint Laurent - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Saint%20Laurent%20Product-prices%20Singapore/r/recgVrK0QxNGoYRz1)
|
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DBQ/Gucci.Product.prices.Hungary
|
DBQ
| 2023-11-19T08:48:47Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Gucci",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:48:41Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Hungary - Gucci - Product-level price list
tags:
- webscraping
- ecommerce
- Gucci
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 2375242
num_examples: 4976
download_size: 686750
dataset_size: 2375242
---
# Gucci web scraped data
## About the website
The **luxury fashion industry** is a significant sector in the EMEA region, and especially in **Hungary**. The industry has found its footing in the digital world with the advent of **Ecommerce**, resulting in a significant surge in online sales. **Gucci**, an eminent player in this field, has established a strong online presence to capitalize on this trend. The dataset observed pertains to **Ecommerce product-list page (PLP) data** for Gucci in Hungary, where the brand witnesses considerable demand. This data provides valuable insights into consumer preferences and shopping patterns, helping players in this industry shape strategies to foster growth.
## Link to **dataset**
[Hungary - Gucci - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Gucci%20Product-prices%20Hungary/r/rec95J1ypx0pNxrgA)
|
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DBQ/Net.a.Porter.Product.prices.Austria
|
DBQ
| 2023-11-19T08:49:04Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Net",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:48:56Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Austria - Net-a-Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 17632573
num_examples: 43237
download_size: 5526380
dataset_size: 17632573
---
# Net-a-Porter web scraped data
## About the website
The **EMEA industry**, particularly in **Austria**, is a dynamic and competitive marketplace. It is characterized by a rapidly growing **e-commerce** sector, driven by technological advancements and changing consumer behavior. A significant player in this space is **Net-a-Porter**, a leading global online luxury fashion retailer. The observed dataset provides detailed **Ecommerce product-list page (PLP)** data on Net-a-Porter in Austria. The **PLP** data can provide valuable insights into customer preferences, shopping behavior, and market trends. This data is crucial for businesses to remain competitive and adapt to the needs of the digital consumer in the modern **Austrian e-commerce landscape**.
## Link to **dataset**
[Austria - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20Austria/r/recnisw1IeM92ajoK)
|
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DBQ/Mr.Porter.Product.prices.Kazakhstan
|
DBQ
| 2023-11-19T08:49:18Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Mr Porter",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:49:13Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Kazakhstan - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 8476677
num_examples: 25806
download_size: 1970982
dataset_size: 8476677
---
# Mr Porter web scraped data
## About the website
The **ecommerce industry** in the Asia Pacific region, particularly in **Kazakhstan**, has witnessed substantial growth, fueled by increasing internet penetration and booming digital transformation. Spearheading online luxury fashion retail, **Mr Porter** has established a significant presence in this emerging market, setting a high standard within the industry. The **ecommerce product-list page (PLP) data** demonstrates Mr Porters reach and impact in Kazakhstan, exhibiting an excellent performance in providing a seamless customer experience, showcasing a diverse product range and forging strong relationships with local and international brands. It testament to the growing significance of ecommerce in Kazakhstan and the potential for further growth in this arena.
## Link to **dataset**
[Kazakhstan - Mr Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Mr%20Porter%20Product-prices%20Kazakhstan/r/recoRzrCwnnzeA9Ir)
|
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DBQ/Fendi.Product.prices.Singapore
|
DBQ
| 2023-11-19T08:49:30Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Fendi",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:49:26Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Singapore - Fendi - Product-level price list
tags:
- webscraping
- ecommerce
- Fendi
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 566974
num_examples: 1450
download_size: 187873
dataset_size: 566974
---
# Fendi web scraped data
## About the website
The luxury goods industry is in a dynamic state of expansion and growth in the Asia Pacific region. At the forefront of this trend is **Singapore**, a key player in this sector. The city-state is a hub for high-end fashion brands such as **Fendi**. Notably, **Fendi in Singapore** has widely adopted the use of technology, launching innovative digital campaigns and making excellent use of **Ecommerce**. Moreover, **Product-List Page (PLP) data** have played a significant role in the companys operations, allowing them to track consumer behavior and preferences, further tailoring their offerings to the discerning tastes of their customers.
## Link to **dataset**
[Singapore - Fendi - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Fendi%20Product-prices%20Singapore/r/receP8aWwUPlSSsvo)
|
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] |
DBQ/Farfetch.Product.prices.Turkey
|
DBQ
| 2023-11-19T08:50:57Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Farfetch",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:50:04Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Turkey - Farfetch - Product-level price list
tags:
- webscraping
- ecommerce
- Farfetch
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 210951012
num_examples: 563784
download_size: 74030067
dataset_size: 210951012
---
# Farfetch web scraped data
## About the website
The **Ecommerce industry** in the EMEA region, specifically in Turkey, has shown significant growth in recent years. Companies like **Farfetch** have established their presence in the competitive Turkish market. Turkeys rapid digital transformation, favourable demographics, and high levels of internet penetration have resulted in the boom of online retail. This proves profitable for ecommerce platforms specialising in luxury fashion retail like Farfetch. The dataset observed contains **Ecommerce product-list page (PLP) data** on Farfetchs operations in Turkey, providing valuable insights into consumer trends, purchasing behaviour, and market dynamics in the Turkish ecommerce sector.
## Link to **dataset**
[Turkey - Farfetch - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Farfetch%20Product-prices%20Turkey/r/reclVYdCN8kfPUbht)
|
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DBQ/Louis.Vuitton.Product.prices.United.Kingdom
|
DBQ
| 2023-11-19T08:51:12Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Louis Vuitton",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:51:07Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: United Kingdom - Louis Vuitton - Product-level price list
tags:
- webscraping
- ecommerce
- Louis Vuitton
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 3326600
num_examples: 7741
download_size: 862931
dataset_size: 3326600
---
# Louis Vuitton web scraped data
## About the website
Louis Vuitton operates within the **luxury fashion industry** in the EMEA region, particularly in the **United Kingdom**. This industry is characterised by high-end products ranging from clothing, accessories to leather goods. It is mainly driven by factors such as brand identity, quality of products, and latest fashion trends. With the rise of digitalisation, an significant portion of sales in this industry shifted to **E-commerce** platforms. The dataset observed has **Ecommerce product-list page (PLP)** data on Louis Vuitton in the United Kingdom. This indicates the prominence of online shopping and digital marketing in the luxury fashion industry in the UK.
## Link to **dataset**
[United Kingdom - Louis Vuitton - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Louis%20Vuitton%20Product-prices%20United%20Kingdom/r/recvE3ce20IqIpbjI)
|
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] |
DBQ/Farfetch.Product.prices.Macao
|
DBQ
| 2023-11-19T08:52:39Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Farfetch",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:51:43Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Macao - Farfetch - Product-level price list
tags:
- webscraping
- ecommerce
- Farfetch
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 220105864
num_examples: 587981
download_size: 80561297
dataset_size: 220105864
---
# Farfetch web scraped data
## About the website
The **Ecommerce industry** in the **Asia Pacific**, especially in **Macao**, has been experiencing rapid growth, due in part to the booming digital transformation. The region has become a hotspot for online retailers and businesses, creating a competitive marketplace. **Farfetch**, a renowned global luxury fashion online platform, operates in this industry and has established a significant presence in Macao. The available **dataset** showcases the firms **Ecommerce product-list page (PLP) data** on Farfetch in Macao, providing valuable insights into product performance, customer behaviors, and emerging ecommerce trends in this specific area.
## Link to **dataset**
[Macao - Farfetch - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Farfetch%20Product-prices%20Macao/r/recjMxrKKCY27iDc8)
|
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] |
DBQ/Net.a.Porter.Product.prices.United.States
|
DBQ
| 2023-11-19T08:53:07Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Net",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:52:59Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: United States - Net-a-Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Net
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 19987977
num_examples: 48920
download_size: 5898449
dataset_size: 19987977
---
# Net-a-Porter web scraped data
## About the website
The **e-commerce** industry, particularly the segment focusing on **luxury fashion** retail, is rapidly flourishing in the Americas, predominantly in the **United States**. Companies such as **Net-a-Porter** offer an extensive range of products, merging the lines between high fashion and accessible purchasing. Online platforms are revolutionizing traditional retail approaches, allowing businesses to stay ahead amid rapidly evolving consumer preferences. The dataset observed includes **Ecommerce product-list page (PLP) data** on Net-a-Porters operations in the United States. This data offers crucial insights into the online behaviors and preferences of luxury fashion shoppers, further demonstrating the traction of online retail in the modern consumer market.
## Link to **dataset**
[United States - Net-a-Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Net-a-Porter%20Product-prices%20United%20States/r/recnVI2GmmLia6A8X)
|
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DBQ/Mr.Porter.Product.prices.Germany
|
DBQ
| 2023-11-19T08:53:24Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Mr Porter",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:53:18Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Germany - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 9116565
num_examples: 27744
download_size: 2073015
dataset_size: 9116565
---
# Mr Porter web scraped data
## About the website
Mr Porter operates within the **Ecommerce industry** in the **EMEA** region, particularly in **Germany**. This industry is critically important in the modern business world, supplying goods and services to consumers through various online methods. Ecommerce has revolutionized retail, radically reshaping the way consumers shop and businesses sell products. Specifically in Germany, the Ecommerce industry has seen remarkable growth in recent years. The dataset we observed provides detailed Ecommerce **Product-List Page (PLP) data** on **Mr Porter**, showcasing various aspects of their operations in Germany, giving insight into their strategies, customer behaviors, and market trends.
## Link to **dataset**
[Germany - Mr Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Mr%20Porter%20Product-prices%20Germany/r/recFSFFzeJE9jUAr6)
|
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DBQ/Burberry.Product.prices.Italy
|
DBQ
| 2023-11-19T08:53:36Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Burberry",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:53:32Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Italy - Burberry - Product-level price list
tags:
- webscraping
- ecommerce
- Burberry
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 895928
num_examples: 2691
download_size: 260255
dataset_size: 895928
---
# Burberry web scraped data
## About the website
Burberry operates within the **luxury fashion industry** in the EMEA region, specifically within **Italy**. This industry is renowned for its high-end products often characterised by superior quality, exquisite craftsmanship, and timeless design. Embracing modern marketing channels, many luxury brands like Burberry have adapted to the online retailing landscape, significantly boosting their **Ecommerce operations**. Italy has a profound appreciation of fashion, rendering it a significant market for Burberry. The observed dataset contains **Ecommerce product-list page (PLP) data** on Burberrys operations in Italy, a critical insight into Burberrys online sales activities in this region.
## Link to **dataset**
[Italy - Burberry - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Burberry%20Product-prices%20Italy/r/reckNhwDuHzJGvwG7)
|
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DBQ/Loro.Piana.Product.prices.Canada
|
DBQ
| 2023-11-19T08:53:50Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Loro Piana",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:53:45Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Canada - Loro Piana - Product-level price list
tags:
- webscraping
- ecommerce
- Loro Piana
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 242143
num_examples: 698
download_size: 83274
dataset_size: 242143
---
# Loro Piana web scraped data
## About the website
Loro Piana operates in the **luxury fashion** industry, specializing in high-end, luxury apparel, accessories, and textile goods. In Americas, particularly in Canada, this industry has experienced substantial growth driven by wealthy individuals and fashion enthusiasts. With the emerging **digital landscape** and **E-commerce**, the consumption of luxury fashion has become much feasible due to the ease of accessibility. The dataset observed includes **Ecommerce product-list page (PLP) data on Loro Piana** in Canada. This data offers insights into online consumer behavior and preferences, which is crucial for understanding the local consumer market and adjusting marketing strategy accordingly.
## Link to **dataset**
[Canada - Loro Piana - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Loro%20Piana%20Product-prices%20Canada/r/recjpKbhfWVXeKhmq)
|
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] |
DBQ/Blickers.Product.prices.France
|
DBQ
| 2023-11-19T08:54:04Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Blickers",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:53:59Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: France - Blickers - Product-level price list
tags:
- webscraping
- ecommerce
- Blickers
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 2820149
num_examples: 7489
download_size: 1352484
dataset_size: 2820149
---
# Blickers web scraped data
## About the website
Blickers operates in the **Ecommerce industry** of the Europe, Middle East, and Africa (EMEA) region, with specific focus on **France**. This industry encapsulates any commercial transactions conducted electronically on the internet including buying, selling, and exchanging of goods or services. Especially in France, the **Ecommerce sector** is booming, driven by strong consumer behavior shift towards online shopping and digital transactions. The observed dataset contains insightful **Ecommerce product-list page (PLP) data on Blickers in France**, offering a comprehensive overview of customer activities, preferences, and the performance of various products. This data has the potential to guide strategic decision-making to optimize conversions.
## Link to **dataset**
[France - Blickers - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Blickers%20Product-prices%20France/r/recrjX2FST51AHd7c)
|
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DBQ/Mr.Porter.Product.prices.Czech.Republic
|
DBQ
| 2023-11-19T08:54:20Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Mr Porter",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:54:14Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Czech Republic - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 9135031
num_examples: 27800
download_size: 2087225
dataset_size: 9135031
---
# Mr Porter web scraped data
## About the website
The **EMEA industry**, specifically in the **Czech Republic**, has seen significant growth in **ecommerce**. An increasing number of consumers are choosing to shop online due to its accessibility and convenience. A key player in this market is **Mr Porter**, an online retail platform specializing in mens luxury fashion. The collected dataset provides a deep insight into the **product-list page (PLP) data** of Mr Porter, offering valuable information regarding customer preference, market trends, and product popularity. Through this data, it is evident that the ecommerce sector in the Czech Republic is thriving with ample growth opportunities.
## Link to **dataset**
[Czech Republic - Mr Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Mr%20Porter%20Product-prices%20Czech%20Republic/r/recBcEw2pvdbDiMDl)
|
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DBQ/Balenciaga.Product.prices.Singapore
|
DBQ
| 2023-11-19T08:54:33Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Balenciaga",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:54:28Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Singapore - Balenciaga - Product-level price list
tags:
- webscraping
- ecommerce
- Balenciaga
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 859105
num_examples: 2308
download_size: 283660
dataset_size: 859105
---
# Balenciaga web scraped data
## About the website
Balenciaga operates in the luxury fashion industry, specifically in the high-end retail segment of the Asia Pacific market, focusing heavily on Singapore. The industry is characterized by renowned brands offering luxury apparel, footwear, and accessories. In **Singapore**, a significant share of this trade belongs to the **luxury fashion** sector. Rapid digitalization and rising incomes have paved the way for **Ecommerce product-list page (PLP**) growth within the industry. In this digital era, brands like **Balenciaga** have effectively utilized Ecommerce platforms to enhance their product offerings. The observed dataset enables an in-depth study of **Ecommerce product-list page (PLP) data on Balenciaga** in the growing Singapore market.
## Link to **dataset**
[Singapore - Balenciaga - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Balenciaga%20Product-prices%20Singapore/r/recZOrWqBIvsJz2wg)
|
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] |
DBQ/Bottega.Veneta.Product.prices.Australia
|
DBQ
| 2023-11-19T08:54:46Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Bottega Veneta",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:54:41Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Australia - Bottega Veneta - Product-level price list
tags:
- webscraping
- ecommerce
- Bottega Veneta
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1611618
num_examples: 4461
download_size: 463826
dataset_size: 1611618
---
# Bottega Veneta web scraped data
## About the website
Bottega Veneta operates in the high-end **luxury fashion** industry, predominantly in the **Asia Pacific** region specifically focusing on Australia. This market encompasses fine clothing, opulent accessories, exclusive footwear, and distinguished leather goods. The brand is among the high echelon of luxury fashion brands that have harnessed the potential of the rapidly growing **Ecommerce** industry in the region. The era of online shopping has escalated in recent years due to growing consumer acceptability and advancements in digital platforms. In Australia, this has proven particularly successful. The dataset examined provides rich **Ecommerce product-list page (PLP) data** on **Bottega Veneta** products in Australia, demonstrating the scope and scale of its online market reach.
## Link to **dataset**
[Australia - Bottega Veneta - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Bottega%20Veneta%20Product-prices%20Australia/r/rech1Y8eiMFsyQyi3)
|
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DBQ/Chanel.Product.prices.Singapore
|
DBQ
| 2023-11-19T08:55:07Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Chanel",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:55:02Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Singapore - Chanel - Product-level price list
tags:
- webscraping
- ecommerce
- Chanel
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 518510
num_examples: 971
download_size: 130425
dataset_size: 518510
---
# Chanel web scraped data
## About the website
Chanel operates in the **luxury fashion industry**, which has a significant presence in the **Asia Pacific region** and specifically in **Singapore**. The industry in Singapore is characterised by robust consumer demand for high-end fashion goods, including clothing, accessories, and fragrances. Luxury brands such as Chanel are popular among the affluent demographic in the city-state. **Ecommerce**, a rapidly growing sector, plays a pivotal role in the industrys expansion. The dataset observed includes the **Ecommerce product-list page (PLP) data** on Chanel in Singapore, indicating the brands product offerings and consumer preferences in the online market.
## Link to **dataset**
[Singapore - Chanel - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Chanel%20Product-prices%20Singapore/r/recRPQbpF1PrX8ScF)
|
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DBQ/Saint.Laurent.Product.prices.Hong.Kong
|
DBQ
| 2023-11-19T08:55:21Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Saint Laurent",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:55:16Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Hong Kong - Saint Laurent - Product-level price list
tags:
- webscraping
- ecommerce
- Saint Laurent
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 1218887
num_examples: 3021
download_size: 378822
dataset_size: 1218887
---
# Saint Laurent web scraped data
## About the website
Saint Laurent is a renowned player in the highly competitive and evolving **luxury fashion industry** in the Asia Pacific region, with a significant presence in **Hong Kong**. Its operations span retail stores, online platforms, and an expansive assortment of apparel. The rise of digital has made **ecommerce** pivotal in reaching the ever-growing customer base in this region. Our dataset provides detailed **Ecommerce product-list page (PLP) data** on Saint Laurents extensive offerings in Hong Kong, casting light on crucial aspects like price points, product types, customer preferences, etc. Visit the [Saint Laurent main page](https://www.databoutique.com/buy-data-list-subset/Saint Laurent web scraped data/r/recnKICNKyOd6cQx6) for insights on other geographies or data types.
## Link to **dataset**
[Hong Kong - Saint Laurent - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Saint%20Laurent%20Product-prices%20Hong%20Kong/r/recgTnY6ES9HXG9EP)
|
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DBQ/Burberry.Product.prices.Singapore
|
DBQ
| 2023-11-19T08:55:52Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Burberry",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:55:47Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Singapore - Burberry - Product-level price list
tags:
- webscraping
- ecommerce
- Burberry
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 856627
num_examples: 2691
download_size: 249890
dataset_size: 856627
---
# Burberry web scraped data
## About the website
The **luxury fashion industry** in the **Asia Pacific** region, particularly in **Singapore**, has flourished over the years, witnessing s significant surge in demand for high-end brands like **Burberry**. This growth is propelled by the increasing purchasing power and the evolving tastes of the growing middle class. Additionally, the rise of **Ecommerce** has enabled these brands to expand their reach further, making it easier for consumers to explore and purchase luxury goods. Therefore, the dataset observed pertains to the **Ecommerce product-list page (PLP) data on Burberry in Singapore**, offering insight into the digital consumer patterns related to the brand.
## Link to **dataset**
[Singapore - Burberry - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Burberry%20Product-prices%20Singapore/r/rec3hYlcEwldAHk2N)
|
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DBQ/Mr.Porter.Product.prices.Qatar
|
DBQ
| 2023-11-19T08:56:07Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Mr Porter",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:56:01Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Qatar - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 8916750
num_examples: 27140
download_size: 2078859
dataset_size: 8916750
---
# Mr Porter web scraped data
## About the website
Mr Porter operates within the **fashion e-commerce industry** in **EMEA**, predominantly focusing on the **Qatari market**. Qatars e-commerce sector is burgeoning, and more consummate luxury fashion consumers are switching their shopping preferences to online platforms like Mr Porter due to its contemporary products and convenience. This development showcases how **online fashion shopping** has significantly influenced the **retail ecosystem** in Qatar. The observed dataset includes oodles of **Ecommerce product-list page (PLP) data** on Mr Porters portfolio in Qatar, providing insights into shoppers preferences, buying patterns, and the performance of the company in the Qatari e-commerce landscape.
## Link to **dataset**
[Qatar - Mr Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Mr%20Porter%20Product-prices%20Qatar/r/rec5LPbIZ5RHuas99)
|
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] |
DBQ/Chloe.Product.prices.Hong.Kong
|
DBQ
| 2023-11-19T08:56:19Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Chloe",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:56:14Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Hong Kong - Chloe - Product-level price list
tags:
- webscraping
- ecommerce
- Chloe
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 675508
num_examples: 2431
download_size: 160521
dataset_size: 675508
---
# Chloe web scraped data
## About the website
The **Ecommerce industry** in the **Asia Pacific**, specifically in **Hong Kong** is highly dynamic and competitive. Digital technology advancements have greatly transformed the ways of doing business, with a particular momentum in the **online fashion industry**. Predominant players like **Chloe** are capitalizing on the regions growing internet populace, rising disposable incomes, and a cultural shift towards online shopping. The dataset observed includes **Ecommerce product-list page (PLP) data** on Chloe in Hong Kong. This data provides invaluable insights into consumer behavior, market trends, and the competitive landscape, enabling businesses to make informed and strategic decisions in the rapidly-evolving **digital commerce** skyline.
## Link to **dataset**
[Hong Kong - Chloe - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Chloe%20Product-prices%20Hong%20Kong/r/recWuG5WfvLdNOGCo)
|
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] |
DBQ/Matches.Fashion.Product.prices.France
|
DBQ
| 2023-11-19T08:56:36Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Matches Fashion",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:56:29Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: France - Matches Fashion - Product-level price list
tags:
- webscraping
- ecommerce
- Matches Fashion
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 15535596
num_examples: 44840
download_size: 4563946
dataset_size: 15535596
---
# Matches Fashion web scraped data
## About the website
**Matches Fashion** operates within the **fashion retail** industry, specifically the **e-commerce sector** in the **EMEA** (Europe, Middle East, and Africa) region, with distinct operations in **France**. This industry has seen significant growth recently due to advancements in technology that have transformed how fashion retailers conduct business and engage with customers. The dataset observed for this study includes **Ecommerce product-list page (PLP) data** on Matches Fashion in France. The data provides insight into consumer behavior, preferences, and trends within the e-commerce fashion market in this region. E-commerce continues to redefine retail, providing infinite opportunities for companies like Matches Fashion within the industry.
## Link to **dataset**
[France - Matches Fashion - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Matches%20Fashion%20Product-prices%20France/r/recUNK1mnjKqpVDbE)
|
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] |
DBQ/Gucci.Product.prices.Austria
|
DBQ
| 2023-11-19T08:56:45Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Gucci",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:56:44Z |
---
annotations_creators:
- other
language:
- en
language_creators:
- other
license:
- unknown
multilinguality:
- monolingual
pretty_name: 'Austria - Gucci - Product-level price list'
source_datasets:
- original
tags:
- webscraping
- ecommerce
- 'Gucci'
- fashion
- fashion product
- image
- fashion image
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
---
# Gucci web scraped data
## About the website
The **luxury fashion industry** within the EMEA region, particularly in **Austria**, has been greatly influenced by digitalization and the rise of e-commerce. The increased internet penetration and smartphone usage in this region have significantly boosted online luxury purchases. A notable player in this industry is the globally recognized Italian luxury brand, **Gucci**. Gucci operates within a very digital savvy and contemporary marketplace, where e-commerce reigns supreme. The dataset observed includes **Ecommerce product-list page (PLP) data on Gucci in Austria**, providing intricate insights into consumer behavior, preferences, and sales trends of this leading luxury brand in Austrian e-commerce market.
## Link to **dataset**
[Austria - Gucci - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Gucci%20Product-prices%20Austria/r/recmVrfCUcu2XPtll)
|
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DBQ/Mr.Porter.Product.prices.United.Arab.Emirates
|
DBQ
| 2023-11-19T08:57:24Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Mr Porter",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:57:19Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: United Arab Emirates - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 8881377
num_examples: 27033
download_size: 2108304
dataset_size: 8881377
---
# Mr Porter web scraped data
## About the website
The **E-commerce industry** within the **EMEA** region, particularly in the **United Arab Emirates (UAE)**, has witnessed substantial growth and continues to expand. Internet penetration and the fast-paced life in the UAE have boosted the growth of the e-commerce industry. The dataset observed provides specific insights about **Ecommerce product-list page (PLP) data** on **Mr Porter in the United Arab Emirates**. This information is essential to understand purchasing patterns and customer preferences, vital elements in developing effective e-commerce strategies within the industry. Additionally, it helps in tracking the performance of individual products, enabling Mr Porter to stay ahead in the competitive industry.
## Link to **dataset**
[United Arab Emirates - Mr Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Mr%20Porter%20Product-prices%20United%20Arab%20Emirates/r/recHILSDUDBd0BMJ4)
|
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] |
DBQ/Mr.Porter.Product.prices.Brazil
|
DBQ
| 2023-11-19T08:57:38Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Mr Porter",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:57:33Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: Brazil - Mr Porter - Product-level price list
tags:
- webscraping
- ecommerce
- Mr Porter
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: int64
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 10092550
num_examples: 30793
download_size: 2349573
dataset_size: 10092550
---
# Mr Porter web scraped data
## About the website
The **E-commerce industry** in the Americas, particularly in **Brazil**, has observed a surge in its growth trajectory. The nation is a thriving hub for online businesses, with a notable player in this sector being **Mr Porter**, which operates prominently in the online luxury fashion retail segment. It has been observed that the dataset includes **Ecommerce product-list page (PLP) data on Mr Porter** in Brazil. This comprehensive data delineates crucial insights into consumer behaviors, shopping trends, and product preferences. In Brazils burgeoning digital market, a deep understanding of such Ecommerce PLP data will be instrumental in driving accelerated growth in the industry.
## Link to **dataset**
[Brazil - Mr Porter - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Mr%20Porter%20Product-prices%20Brazil/r/reczvuot0WiECngFE)
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] |
DBQ/Balenciaga.Product.prices.South.Korea
|
DBQ
| 2023-11-19T08:57:51Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Balenciaga",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:57:47Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: South Korea - Balenciaga - Product-level price list
tags:
- webscraping
- ecommerce
- Balenciaga
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 758357
num_examples: 2038
download_size: 249968
dataset_size: 758357
---
# Balenciaga web scraped data
## About the website
The **luxury fashion industry** in the **Asia Pacific**, specifically in **South Korea**, is experiencing rapid growth. An increasing number of South Koreans are showing interest in luxury fashion brands like **Balenciaga**, driven by a strong economy, urbanization, and changing consumer tastes. Furthermore, the rise of **digital platforms** and **Ecommerce** has transformed the industry landscape, making luxury items more accessible to a broader consumer base. The data observed includes **Ecommerce product-list page (PLP) data** on **Balenciaga** in South Korea, shedding light on online consumer behavior and purchasing patterns within the luxury fashion market. This data presents valuable insights into trends and preferences driving this booming sector.
## Link to **dataset**
[South Korea - Balenciaga - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Balenciaga%20Product-prices%20South%20Korea/r/recxPrsgx2O0Vmm7v)
|
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DBQ/Celine.Product.prices.United.Kingdom
|
DBQ
| 2023-11-19T08:58:04Z | 0 | 0 |
[
"task_categories:text-classification",
"task_categories:image-classification",
"task_categories:feature-extraction",
"task_categories:image-segmentation",
"task_categories:image-to-image",
"task_categories:image-to-text",
"task_categories:object-detection",
"task_categories:summarization",
"task_categories:zero-shot-image-classification",
"annotations_creators:other",
"language_creators:other",
"multilinguality:monolingual",
"source_datasets:original",
"language:en",
"license:unknown",
"webscraping",
"ecommerce",
"Celine",
"fashion",
"fashion product",
"image",
"fashion image",
"region:us"
] |
[
"text-classification",
"image-classification",
"feature-extraction",
"image-segmentation",
"image-to-image",
"image-to-text",
"object-detection",
"summarization",
"zero-shot-image-classification"
] | 2023-11-19T08:57:59Z |
---
annotations_creators:
- other
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
source_datasets:
- original
task_categories:
- text-classification
- image-classification
- feature-extraction
- image-segmentation
- image-to-image
- image-to-text
- object-detection
- summarization
- zero-shot-image-classification
pretty_name: United Kingdom - Celine - Product-level price list
tags:
- webscraping
- ecommerce
- Celine
- fashion
- fashion product
- image
- fashion image
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: website_name
dtype: string
- name: competence_date
dtype: string
- name: country_code
dtype: string
- name: currency_code
dtype: string
- name: brand
dtype: string
- name: category1_code
dtype: string
- name: category2_code
dtype: string
- name: category3_code
dtype: string
- name: product_code
dtype: string
- name: title
dtype: string
- name: itemurl
dtype: string
- name: imageurl
dtype: string
- name: full_price
dtype: float64
- name: price
dtype: float64
- name: full_price_eur
dtype: float64
- name: price_eur
dtype: float64
- name: flg_discount
dtype: int64
splits:
- name: train
num_bytes: 308731
num_examples: 658
download_size: 75519
dataset_size: 308731
---
# Celine web scraped data
## About the website
The **Ecommerce industry** in the **EMEA** region, particularly in the **United Kingdom**, has shown a significant growth rate in recent years, becoming a pivotal element in the regions economic landscape. The rise of digital technologies and change in consumer behavior has further accelerated this upward trend. In this digital marketplace, **Celine**, a well-known high-end fashion brand, has maintained its mark. The dataset at-hand encompasses **Ecommerce product-list page (PLP) data** on Celine in the United Kingdom, offering an in-depth understanding of the brands online performance, product offerings, pricing strategies, and audience engagement on the digital platform.
## Link to **dataset**
[United Kingdom - Celine - Product-level price list dataset](https://www.databoutique.com/buy-data-page/Celine%20Product-prices%20United%20Kingdom/r/recI2aBXFhehy0LuL)
|
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