Update README.md

README.md

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----
-license: cc
----
+---
+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 datahive 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 users**
+- **1k order line 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.
+
+## 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
+