name
stringlengths 6
22
| description
stringlengths 41
84
| subcategories
stringlengths 90
164
| code
stringclasses 1
value | geographical_scope
stringclasses 1
value |
---|---|---|---|---|
Energy | Companies involved in energy equipment and services, oil, gas, and consumable fuels | Energy Equipment & Services, Oil, Gas & Consumable Fuels, Renewable Energy Equipment, Energy Storage | N/A | N/A |
Materials | Companies that discover, develop, and process raw materials | Chemicals, Construction Materials, Containers & Packaging, Metals & Mining, Paper & Forest Products | N/A | N/A |
Industrials | Manufacturers and distributors of capital goods and providers of commercial services | Aerospace & Defense, Building Products, Construction & Engineering, Electrical Equipment, Industrial Conglomerates, Machinery, Professional Services, Transportation | N/A | N/A |
Consumer Discretionary | Industries that tend to be most sensitive to economic cycles | Automobiles & Components, Consumer Durables & Apparel, Consumer Services, Media, Retailing, Hotels, Restaurants & Leisure | N/A | N/A |
Consumer Staples | Companies that provide essential products | Food & Staples Retailing, Beverages, Food Products, Tobacco, Household & Personal Products | N/A | N/A |
Healthcare | Companies that manufacture healthcare equipment or provide healthcare services | Healthcare Equipment & Supplies, Healthcare Providers & Services, Healthcare Technology, Biotechnology, Pharmaceuticals, Life Sciences Tools & Services | N/A | N/A |
Financials | Companies involved in banking, insurance, and investment | Banks, Diversified Financials, Insurance, Investment Banking, Consumer Finance, Capital Markets, Mortgage Finance | N/A | N/A |
Information Technology | Companies that develop or distribute technological products and services | Software & Services, Technology Hardware & Equipment, Semiconductors, IT Services, Electronic Equipment & Components, Communications Equipment | N/A | N/A |
Communication Services | Companies that facilitate communication and offer related content and information | Telecommunication Services, Media & Entertainment, Interactive Media & Services, Entertainment, Publishing | N/A | N/A |
Real Estate | Companies engaged in real estate development and operation | Equity Real Estate Investment, Real Estate Management & Development, Real Estate Investment Trusts (REITs), Real Estate Services | N/A | N/A |
Utilities | Companies that provide essential utilities services | Electric Utilities, Gas Utilities, Water Utilities, Multi-Utilities, Independent Power Producers | N/A | N/A |
Dataset Name: LogoLens Industries
Dataset Summary
The logolens-industries
dataset provides a comprehensive classification of industries based on the Global Industry Classification Standard (GICS). This dataset is designed for tasks such as industry-specific logo analysis, branding research, and AI-based categorization of visual or textual elements.
- Version: 1.0.0
- Homepage: Hugging Face Dataset Page
- License: MIT
Supported Tasks and Use Cases
This dataset can be used for:
- Classification: Categorize logos, companies, or products into industries and subcategories.
- Analysis: Identify trends in specific industry segments.
- Prediction: Train AI models to predict industry association based on input data.
Dataset Structure
The dataset consists of a flattened structure for better usability, including the following fields:
Field | Type | Description | Example |
---|---|---|---|
name |
string |
Name of the industry. | "Energy" |
description |
string |
Brief description of the industry. | "Companies involved in energy..." |
subcategories |
list[string] |
Subcategories within the industry. | "Energy Equipment & Services..." |
code |
string |
Industry code (if available). | "10" |
geographical_scope |
string |
The geographical scope of the industry (e.g., global or regional). | "Global" |
Example Rows
Example 1: Energy Industry
{
"name": "Energy",
"description": "Companies involved in energy equipment and services, oil, gas, and consumable fuels",
"subcategories": "Energy Equipment & Services, Oil, Gas & Consumable Fuels, Renewable Energy Equipment, Energy Storage",
"code": "10",
"geographical_scope": "Global"
}
Example 2: Information Technology
{
"name": "Information Technology",
"description": "Companies that develop or distribute technological products and services",
"subcategories": "Software & Services, Technology Hardware & Equipment, Semiconductors",
"code": "45",
"geographical_scope": "Global"
}
Usage
Here’s how to load and use the dataset with the Hugging Face datasets
library:
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("tiny-factories/logolens-industries")
# View a sample
print(dataset["train"][0])
Dataset Creation
This dataset was created by curating industry classifications based on GICS standards. The descriptions and subcategories were verified to ensure alignment with real-world industry use cases.
Considerations for Use
- Biases: This dataset is based on GICS classifications, which may not represent all industries globally.
- Limitations: Industry descriptions may overlap, and subcategories could vary based on different classification systems.
Citation
@misc{logolens-industries,
author = {gndclouds},
title = {LogoLens Industries Dataset},
year = {2024}
}
License
This dataset is licensed under the MIT License.
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