Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
10K - 100K
License:
metadata
language: en
license: mit
task_categories:
- token-classification
task_ids:
- named-entity-recognition
Customer Support NER Dataset
Dataset Description
This dataset is created for Named Entity Recognition (NER) tasks with a focus on
customer support query understanding.
It is suitable for NLP projects in domains such as SaaS, Banking, and Telecom.
The dataset is prepared from an annotated corpus and cleaned into sentence-level format for easier training and evaluation.
Dataset Structure
The dataset contains two CSV files:
- train_data.csv – Training split
- test_data.csv – Testing split
Columns
| Column Name | Description |
|---|---|
| Sentence # | Unique sentence identifier |
| Word | Full sentence text |
| Tag | List of NER tags corresponding to each word |
Intended Use
- Training and evaluating NER models
- Customer support query analysis
- NLP learning and experimentation
- Academic and portfolio projects
Example
Text:Google plans to open a new office in India
NER Tags:[ORG, O, O, O, O, LOC]
Limitations
- The dataset is domain-adapted and may not generalize to all industries.
- It does not include intent labels or response texts.
License
This dataset is shared under the MIT License and can be freely used for learning and research.