wsdsda/Chinese-English-Product-Review-Dataset

---
license: mit
---

# 📦 Chinese-English Product Review Dataset (Sentiment Tagged)

A high-quality bilingual dataset containing **1000+ real-world style product reviews** in both Chinese 🇨🇳 and English 🇬🇧, each annotated with a sentiment label: **Positive**, **Neutral**, or **Negative**.

---

## ✨ Features

- **Languages**: Chinese & English
- **Domains**: Smartphone, Headphones, Tablets
- **Fields**: `id`, `category`, `zh_review`, `en_review`, `sentiment`
- **Sentiments**: Positive / Neutral / Negative
- **Dataset Size**: 1000 samples
- **License**: MIT (commercial use allowed)

---

## 📊 Data Sample

| id | category | zh_review | en_review | sentiment |
|--------|------------|---------------------------------------------|------------------------------------------------------------------|-----------|
| id_001 | smartphone | 信号偶尔会跳格子，在地下停车场特别明显。 | The signal drops randomly, especially in underground parking lots. | negative |
| id_002 | headphone | 耳机戴着很舒服，长时间也不会觉得夹耳朵。 | These headphones are super comfy, even after wearing them for hours. | positive |
| id_003 | tablet | 拍照功能出乎意料地好，夜景模式惊艳。 | The camera is surprisingly good, especially in night mode. | positive |

---

## 📚 Use Cases

- Fine-tuning multilingual sentiment classification models
- Training Chinese-English cross-lingual LLMs
- Benchmarking: translation, intent understanding, classification
- Pretraining or adapting sentiment-aware QA systems

---

## 📥 Contents

This dataset includes:

- ✅ `comment_dataset.csv` – Clean, ready-to-use format
- ✅ `raw_01.txt` – Original generation source
- ✅ `sample_preview.png` – Visual preview
- ✅ `LICENSE.txt`, `README.md`

---

## 🛡 License

This dataset is released under the [MIT License](LICENSE.txt).
✔️ **Free for academic and commercial use**

---

## 🔗 Full Pack Download

Need the ZIP version with preview images, raw files and everything ready to use?
👉 [Access the full packaged dataset on Gumroad](https://kaiwen45.gumroad.com/l/hntgcp)

---

## 📢 Access Policy

🆓 The **full dataset is currently open access** on Hugging Face.
🚧 **Future versions** with larger samples, categories or tasks may switch to preview-only here, with complete distributions on Gumroad.

🧠 Your support enables more high-quality, multilingual data products.
Feel free to **explore, cite, and share**!

---

Enjoy and happy training! 🚀

---
许可证：MIT
---

# 📦 中英双语带情感标注产品评论数据集（Chinese-English Product Review Dataset (Sentiment Tagged)）

本数据集为高质量双语数据集，包含**1000余篇真实场景产品评论**，涵盖中文与英文两种语言，每条评论均标注有情感标签：**正面（Positive）、中性（Neutral）或负面（Negative）**。

---

## ✨ 数据集特性
- **语言覆盖**：中文与英文
- **应用领域**：智能手机、头戴式耳机、平板电脑
- **数据字段**：`id`、`category`、`zh_review`、`en_review`、`sentiment`
- **情感类别**：正面（Positive）、中性（Neutral）、负面（Negative）
- **数据集规模**：1000条样本
- **许可证**：MIT（允许商业使用）

---

## 📊 数据样例
| id | category | zh_review | en_review | sentiment |
|--------|------------|---------------------------------------------|------------------------------------------------------------------|-----------|
| id_001 | smartphone | 信号偶尔会出现跳格现象，在地下停车场中尤为明显。 | The signal drops randomly, especially in underground parking lots. | negative |
| id_002 | headphone | 这款耳机佩戴体验极佳，长时间佩戴也不会产生夹耳不适感。 | These headphones are super comfy, even after wearing them for hours. | positive |
| id_003 | tablet | 拍照功能表现超出预期，夜景模式效果尤为惊艳。 | The camera is surprisingly good, especially in night mode. | positive |

---

## 📚 应用场景
- 微调多语言情感分类模型
- 训练中英跨语言大语言模型（Large Language Model, LLM）
- 基准测试：可用于翻译、意图理解及分类任务
- 预训练或适配情感感知问答系统

---

## 📥 数据集内容
本数据集包含以下文件：
- ✅ `comment_dataset.csv`：经清洗整理、可直接投入使用的格式文件
- ✅ `raw_01.txt`：原始生成源文件
- ✅ `sample_preview.png`：数据样例可视化预览图
- ✅ `LICENSE.txt`、`README.md`

---

## 🛡 许可证
本数据集采用[MIT许可证（MIT License）](LICENSE.txt)发布。
✔️ **可免费用于学术研究与商业用途**

---

## 🔗 完整打包版下载
需要包含预览图片、原始文件及所有可用资源的ZIP压缩包？👉 [前往Gumroad平台获取完整打包数据集](https://kaiwen45.gumroad.com/l/hntgcp)

---

## 📢 访问政策
🆓 **完整数据集目前可在Hugging Face平台免费获取**。
🚧 **未来版本**（包含更多样本、品类或任务类型）可能仅在此处提供预览，完整版本将仅在Gumroad平台发布。
🧠 您的支持将助力我们产出更多高质量多语言数据产品。
欢迎**探索、引用与分享**！

---

祝您使用愉快，训练顺利！🚀