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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language: en
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+ license: mit
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+ task_categories:
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+ - token-classification
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+ task_ids:
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+ - named-entity-recognition
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+ ---
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+
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+ # Customer Support NER Dataset
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+
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+ ## Dataset Description
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+ This dataset is created for **Named Entity Recognition (NER)** tasks with a focus on
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+ **customer support query understanding**.
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+ It is suitable for NLP projects in domains such as **SaaS, Banking, and Telecom**.
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+
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+ The dataset is prepared from an annotated corpus and cleaned into
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+ sentence-level format for easier training and evaluation.
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+
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+ ---
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+
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+ ## Dataset Structure
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+
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+ The dataset contains two CSV files:
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+
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+ - **train_data.csv** – Training split
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+ - **test_data.csv** – Testing split
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+
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+ ### Columns
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+
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+ | Column Name | Description |
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+ |------------|-------------|
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+ | Sentence # | Unique sentence identifier |
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+ | Word | Full sentence text |
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+ | Tag | List of NER tags corresponding to each word |
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+
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+ ---
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+
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+ ## Intended Use
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+ - Training and evaluating NER models
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+ - Customer support query analysis
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+ - NLP learning and experimentation
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+ - Academic and portfolio projects
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+
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+ ---
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+
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+ ## Example
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+
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+ **Text:**
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+ `Google plans to open a new office in India`
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+
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+ **NER Tags:**
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+ `[ORG, O, O, O, O, LOC]`
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+
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+ ---
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+
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+ ## Limitations
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+ - The dataset is domain-adapted and may not generalize to all industries.
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+ - It does not include intent labels or response texts.
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+
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+ ---
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+
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+ ## License
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+ This dataset is shared under the **MIT License** and can be freely used for learning and research.