---
title: amazon-reviews
canonical_url: "https://www.modelscope.cn/datasets/sentence-transformers/amazon-reviews"
md_url: "https://www.modelscope.cn/datasets/sentence-transformers/amazon-reviews.md"
repository: sentence-transformers/amazon-reviews
last_updated: 2025-01-06
license: "Apache License 2.0"
storage_size: "27 GB"
downloads: 1783
stars: 0
---

# amazon-reviews

> amazon-reviews - sentence-transformers 在 ModelScope 开源的数据集。Dataset Card for Amazon Reviews 2018

sentence-transformers/amazon-reviews 是 ModelScope 魔搭社区上的数据集，存储大小 27 GB，采用 Apache License 2.0 许可。

- **Repository**: sentence-transformers/amazon-reviews
- **License**: Apache License 2.0
- **Storage size**: 27 GB
- **Downloads**: 1783
- **Stars**: 0
- **Last updated**: 2025-01-06

Source: https://www.modelscope.cn/datasets/sentence-transformers/amazon-reviews

---

# Dataset Card for Amazon Reviews 2018

This dataset is a collection of title-review pairs collected from Amazon, as collected in [Ni et al.](https://cseweb.ucsd.edu//~jmcauley/pdfs/emnlp19a.pdf). See [Amazon Reviews 2018](https://nijianmo.github.io/amazon/index.html) for additional information.
This dataset can be used directly with Sentence Transformers to train embedding models.

## Dataset Subsets

### `pair` subset

* Columns: "title", "review"
* Column types: `str`, `str`
* Examples:
    ```python
    {
      'title': "It doesn't fit my machine. I can't seem to ...",
      'review': "It doesn't fit my machine. I can't seem to find the part for the Mr. Coffee Tea maker I have.",
    }
    ```
* Collection strategy: Reading the Amazon Reviews 2018 dataset from [embedding-training-data](https://huggingface.co/datasets/sentence-transformers/embedding-training-data).
* Deduplified: No