al5nfsharyh/customer-review-qna-25

---
annotations_creators:
- machine-generated
language:
- en
license: mit
multilingual: false
pretty_name: Customer Review QnA (25 Samples)
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- text-generation
- text-classification
tags:
- customer-reviews
- sentiment-analysis
- nlp
- GPT-4o
- synthetic-data
---

# 📦 Dataset: `customer-review-qna-25`

## 🧾 Summary

A small dataset of **25 GPT-4o-mini generated customer reviews**, each containing:

- `input_question`: Prompt or user query
- `output`: Generated customer review
- `context`: Background info (e.g. product, tone)
- `tags`: Labels like `positive`, `complaint`, `delivery`, etc.

✅ safe ✅ Filtered ✅ Compact & usable for review generation or sentiment tasks

---

## 🧱 Dataset Structure

**Format:** CSV
**Size:** 25 samples
**Fields:**

| Field | Type | Description |
|----------------|----------------|--------------------------------------|
| input | `string` | Prompt that initiates the response |
| output | `string` | Review text (model-generated) |
| context | `string` | Contextual info about the review |
| tags | `list[string]` | Tags for classification |

---