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---
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: 377699.0
    num_examples: 10
  download_size: 380966
  dataset_size: 377699.0
---
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.