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--- |
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license: cc-by-nc-2.0 |
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task_categories: |
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- image-to-text |
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language: |
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- en |
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pretty_name: en_manfaclens_sample |
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size_categories: |
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- n<1K |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: Uniq ID |
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dtype: string |
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- name: Manufacturer Name |
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dtype: string |
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- name: Product Name |
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dtype: string |
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- name: Equipment Name |
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dtype: string |
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- name: Process Capability |
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dtype: string |
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- name: Industry |
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dtype: string |
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- name: Product Description |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 377699.0 |
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num_examples: 10 |
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download_size: 380966 |
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dataset_size: 377699.0 |
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--- |
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A brief description or overview of your dataset. For instance: |
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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. |
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Dataset Structure |
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Files/Folders: |
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images/: Directory with raw images (.jpg or .png). |
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metadata.csv : Tabular file containing columns: |
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Image_ID: A unique identifier for each image. |
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manufacturer_name: The name of the product’s manufacturer. |
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Product_Name: The name of the product. |
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equipment_name: The specific equipment/machine name (if applicable). |
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process_capability: Text describing capabilities, e.g., "High," "Medium," etc. |
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Industry: The industry sector in which this product or equipment is used. |
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product_description: A short textual description of the product. |
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image: The file path (e.g. images/img_001.jpg) or a URL pointing to the image. |
