| --- |
| pretty_name: Amazon US Orders |
| license: cc-by-4.0 |
| language: |
| - en |
| task_categories: |
| - other |
| size_categories: |
| - 1K<n<10K |
| tags: |
| - tabular |
| - csv |
| - ecommerce |
| - orders |
| - amazon |
| - transactions |
| dataset_info: |
| features: |
| - name: user_id |
| dtype: string |
| - name: order_id |
| dtype: string |
| - name: asin |
| dtype: string |
| - name: product_name |
| dtype: string |
| - name: product_condition |
| dtype: string |
| - name: order_date |
| dtype: date32 |
| - name: quantity |
| dtype: int64 |
| - name: unit_price |
| dtype: float64 |
| - name: unit_price_tax |
| dtype: float64 |
| - name: currency |
| dtype: string |
| - name: total_amount |
| dtype: float64 |
| - name: website |
| dtype: string |
| - name: shipping_city_country |
| dtype: string |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/orders.csv |
| --- |
| |
| This is a sample dataset. To access the full version or request any custom dataset tailored to your needs, contact DataHive at contact@datahive.ai. |
|
|
| # Amazon US Orders |
|
|
| ## Dataset Summary |
|
|
| A structured e-commerce order dataset built from real Amazon purchase histories voluntarily shared by users on the platform. Each record represents a single order line item with full pricing breakdown (unit price, tax, discounts, shipping), fulfilment status, and shipping location. |
|
|
| The sample includes: |
|
|
| - **10 unique users** |
| - **1k order items** |
| - Marketplace: Amazon.com |
|
|
|
|
| ### Dataset Description |
|
|
| - **Access:** Free sample dataset |
| - **Curated by:** https://datahive.ai |
| - **Language(s):** English |
| - **License:** Creative Commons Attribution 4.0 (CC BY 4.0) |
|
|
| ## Use Cases |
|
|
| - **E-commerce analytics**: basket analysis, spending patterns, seasonal trends |
| - **Price research**: cross-marketplace price comparison, tax structure analysis |
| - **Demand forecasting**: order frequency and product category modelling |
|
|
| ## Data Collection |
|
|
| Order data was exported directly from personal Amazon accounts by participating users who consented to share their purchase history. |
|
|
| ## Anonymization |
|
|
| - **User & order IDs** — original identifiers replaced with deterministic SHA-256 pseudonyms (truncated to 8 hex characters), preserving cross-record linkability |
| - **Addresses** — reduced to city and country only; street names, house numbers, and postal codes are removed |
| - **Dates** — normalized to `YYYY-MM-DD`; time components stripped |
|
|
| ## Dataset Structure |
|
|
| ### Data Fields |
|
|
| | Column | Type | Description | |
| |---|---|---| |
| | `user_id` | string | User identifier | |
| | `order_id` | string | Order identifier | |
| | `asin` | string | Amazon Standard Identification Number | |
| | `product_name` | string | Full product title | |
| | `product_condition` | string | Item condition (e.g. New) | |
| | `order_date` | date | Date the order was placed | |
| | `quantity` | int | Number of units ordered | |
| | `unit_price` | float | Price per unit excluding tax (USD) | |
| | `unit_price_tax` | float | Tax per unit (USD) | |
| | `currency` | string | Currency code (USD) | |
| | `total_amount` | float | Total charged including tax (USD) | |
| | `website` | string | Amazon marketplace (Amazon.com) | |
| | `shipping_city_country` | string | Shipping destination city and country | |
|
|
| ### Data Splits |
|
|
| Single split containing all records. No train/test separation — this is a raw data export, not a benchmark. |
|
|
| ## Licensing Information |
|
|
| This dataset is released under the [Creative Commons Attribution 4.0 International (CC-BY-4.0)](https://creativecommons.org/licenses/by/4.0/) license. |
|
|
| ## Dataset Card Contact |
|
|
| contact@datahive.ai |
|
|
|
|
