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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ title: Tender Classification and Categorization Dataset
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+ emoji: 📑
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+ color: blue
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+ tags:
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+ - classification
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+ - tender categorization
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+ - dataset
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+ - machine learning
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+ - Tender Classification
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+ - Category
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+ - Sector
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+ - Tags
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+ - Keywords
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+ - Attributes
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+ license: mit
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+ citation: Sachin Vaishnav (2024). Tender Classification and Categorization Dataset. Hugging Face.
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+ language: en
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+ ---
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+
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+ ## Dataset Card for Tender Classification and Categorization Dataset
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+
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+ ### Dataset Description
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+
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+ The Tender Classification and Categorization Dataset is designed for classifying various tenders into specific predefined categories. It contains a diverse set of tender descriptions from multiple sectors including healthcare, automotive, food industry, and more. Each entry in the dataset features user prompts requesting the extraction and classification of tender information, with corresponding AI-generated responses that categorize the tenders. This dataset is valuable for training models to accurately classify and categorize tenders, enhancing automation and efficiency in the tender processing workflow.
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+
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+ ### Data Fields
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+
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+ - `messages`: A list of message objects representing interactions. Each entry includes:
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+ - `role`: The role of the message sender, which can be either "user" or "assistant".
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+ - `content`: The content of the message. For the user, it provides the tender description. For the assistant, it provides the detailed classification and category assignment.
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+
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+ ### Example Entries
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+
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+ #### Example 1
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+ - **Role**: "user"
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+ - **Content**: "You are a **tendering authority**. Extract precise and relevant info from the tender description: Tourism / recreation / sports Sports equipment"
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+ - **Role**: "assistant"
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+ - **Content**: "{\n \"Tender Classification\": {\n \"Industry Sector\": \"Sports and Recreation\",\n \"Tender Type\": \"Tenders\",\n \"Nature of Work\": \"Goods\",\n \"Competition Type\": \"NCB\",\n \"Tags\": [\"Sports\", \"Equipment\", \"Recreation\"],\n \"Keywords\": [\"Sports\", \"Equipment\", \"Supplies\"],\n \"Attributes\": [\"Quality\", \"Durability\", \"Price\"]\n },\n \"Categories\": [\n {\n \"Main Category\": \"Sports\",\n \"Sub Category\": \"Equipment\",\n \"Sub Sub Category\": \"Sports Equipment\"\n },\n {\n \"Main Category\": \"Recreation\",\n \"Sub Category\": \"Sports\",\n \"Sub Sub Category\": \"Equipment\"\n },\n {\n \"Main Category\": \"Tourism\",\n \"Sub Category\": \"Sports\",\n \"Sub Sub Category\": \"Equipment\"\n }\n ]\n}"
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+
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+ #### Example 2
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+ - **Role**: "user"
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+ - **Content**: "You are a **tendering authority**. Extract precise and relevant info from the tender description: Peat-Based Fuel Briquettes (Drachkovsky S/S) Fuel / petrochemicals Peat"
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+ - **Role**: "assistant"
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+ - **Content**: "{\n \"Tender Classification\": {\n \"Industry Sector\": \"Energy\",\n \"Tender Type\": \"Tenders\",\n \"Nature of Work\": \"Goods\",\n \"Competition Type\": \"NCB\",\n \"Tags\": [\"Fuel\", \"Petrochemicals\", \"Peat\"],\n \"Keywords\": [\"Peat-Based\", \"Fuel Briquettes\", \"Drachkovsky S/S\"],\n \"Attributes\": [\"Peat Content\", \"Briquette Size\", \"Moisture Content\"]\n },\n \"Categories\": [\n {\n \"Main Category\": \"Energy\",\n \"Sub Category\": \"Fuel\",\n \"Sub Sub Category\": \"Peat-Based Fuel\"\n },\n {\n \"Main Category\": \"Chemicals\",\n \"Sub Category\": \"Petrochemicals\",\n \"Sub Sub Category\": \"Peat-Based Petrochemicals\"\n },\n {\n \"Main Category\": \"Manufacturing\",\n \"Sub Category\": \"Fuel Production\",\n \"Sub Sub Category\": \"Peat Briquette Production\"\n }\n ]\n}"
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+
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+ #### Example 3
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+ - **Role**: "user"
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+ - **Content**: "You are a **tendering authority**. Extract precise and relevant info from the tender description: The tender is invited: a large-sized drying oven for asphalt mixtures and samples for the testing laboratory of Tbilisi Municipal Laboratory"
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+ - **Role**: "assistant"
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+ - **Content**: "{\n \"Tender Classification\": {\n \"Industry Sector\": \"Construction and Building Materials\",\n \"Tender Type\": \"Tenders\",\n \"Nature of Work\": \"Goods\",\n \"Competition Type\": \"NCB\",\n \"Tags\": [\"Laboratory Equipment\", \"Asphalt Testing\", \"Drying Oven\"],\n \"Keywords\": [\"Asphalt Mixtures\", \"Testing Laboratory\", \"Tbilisi Municipal Laboratory\"],\n \"Attributes\": [\"Large-sized\", \"For Asphalt Mixtures and Samples\", \"Testing Laboratory Equipment\"]\n },\n \"Categories\": [\n {\n \"Main Category\": \"Construction and Building Materials\",\n \"Sub Category\": \"Asphalt and Bitumen\",\n \"Sub Sub Category\": \"Testing Equipment\"\n },\n {\n \"Main Category\": \"Laboratory Equipment\",\n \"Sub Category\": \"Drying Ovens\",\n \"Sub Sub Category\": \"Industrial\"\n },\n {\n \"Main Category\": \"Government Procurement\",\n \"Sub Category\": \"Municipal Services\",\n \"Sub Sub Category\": \"Laboratory Supplies\"\n }\n ]\n}"
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+
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+ #### Example 4
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+ - **Role**: "user"
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+ - **Content**: "You are a **tendering authority**. Extract precise and relevant info from the tender description: Service for Electrical Installation Work in the Administrative Building of the State Health Institution Chashniki District Veterinary Station Electrical engineering Repair / installation / maintenance work"
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+ - **Role**: "assistant"
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+ - **Content**: "{\n \"Tender Classification\": {\n \"Industry Sector\": \"Construction and Engineering\",\n \"Tender Type\": \"Tenders\",\n \"Nature of Work\": \"Services\",\n \"Competition Type\": \"NCB\",\n \"Tags\": [\"Electrical Work\", \"Building Maintenance\", \"Veterinary Station\"],\n \"Keywords\": [\"Electrical Installation\", \"Repair\", \"Maintenance\"],\n \"Attributes\": [\"Electrical Engineering\", \"Administrative Building\", \"State Health Institution\"]\n },\n \"Categories\": [\n {\n \"Main Category\": \"Construction Services\",\n \"Sub Category\": \"Electrical Work\",\n \"Sub Sub Category\": \"Installation and Maintenance\"\n },\n {\n \"Main Category\": \"Building Maintenance\",\n \"Sub Category\": \"Electrical Systems\",\n \"Sub Sub Category\": \"Repair Work\"\n },\n {\n \"Main Category\": \"Healthcare Facilities\",\n \"Sub Category\": \"Veterinary Stations\",\n \"Sub Sub Category\": \"Electrical Infrastructure\"\n }\n ]\n}"