Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
10K - 100K
License:
Update README.md
Browse files
README.md
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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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# Customer Support NER Dataset
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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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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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## Dataset Structure
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The dataset contains two CSV files:
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- **train_data.csv** – Training split
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- **test_data.csv** – Testing split
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### Columns
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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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## 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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## Example
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**Text:**
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`Google plans to open a new office in India`
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**NER Tags:**
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`[ORG, O, O, O, O, LOC]`
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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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## License
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This dataset is shared under the **MIT License** and can be freely used for learning and research.
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