Datasets:
license: cc-by-nc-2.0
task_categories:
- image-to-text
language:
- en
pretty_name: en_manfaclens_sample
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: image
dtype: image
- name: Uniq ID
dtype: string
- name: Manufacturer Name
dtype: string
- name: Product Name
dtype: string
- name: Equipment Name
dtype: string
- name: Process Capability
dtype: string
- name: Industry
dtype: string
- name: Product Description
dtype: string
splits:
- name: train
num_bytes: 377699
num_examples: 10
download_size: 380966
dataset_size: 377699
A brief description or overview of your dataset. For instance:
This dataset contains images and metadata describing various industrial products, including fields such as manufacturer name, equipment name, and industry type. The images are stored locally in the images/ folder, and references to those images (paths) appear in the image column of the metadata.
Dataset Structure Files/Folders: images/: Directory with raw images (.jpg or .png). metadata.csv : Tabular file containing columns: Image_ID: A unique identifier for each image. manufacturer_name: The name of the product’s manufacturer. Product_Name: The name of the product. equipment_name: The specific equipment/machine name (if applicable). process_capability: Text describing capabilities, e.g., "High," "Medium," etc. Industry: The industry sector in which this product or equipment is used. product_description: A short textual description of the product. image: The file path (e.g. images/img_001.jpg) or a URL pointing to the image.