Update README.md

README.md

@@ -31,4 +31,66 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+task_categories:
+- tabular-classification
+- time-series-forecasting
+- table-question-answering
+language:
+- en
+tags:
+- finance
+- stock-market
+- tabular
+- time-series
+- historical-data
+pretty_name: stock pile
+size_categories:
+- 1M<n<10M
 ---
+
+# Stock-pile 📈
+
+**Stock-pile** is a comprehensive financial dataset covering historical daily and weekly stock market performance for 750 of the world's richest companies—spanning from their founding/IPO dates up to the present day.
+
+## Dataset Overview
+
+- **Entities Covered:** 750 world-leading companies by market cap & wealth.
+- **Time Horizon:** Complete lifetime historical data (from founding/IPO date to present).
+- **Frequencies Included:** Daily and Weekly aggregate records.
+- **Total Records:** Over 5 Million rows (~101 MB in compressed Parquet format).
+
+---
+
+## Dataset Structure
+
+The dataset contains standard OHLCV (Open, High, Low, Close, Volume) data alongside relevant corporate metadata.
+
+### Data Fields
+
+| Column Name | Data Type | Description |
+| :--- | :--- | :--- |
+| `symbol` | `string` | Ticker symbol of the company (e.g., AAPL, MSFT, NVDA) |
+| `company_name` | `string` | Official name of the company |
+| `date` | `timestamp` | Trade date |
+| `frequency` | `string` | Frequency interval (`daily` or `weekly`) |
+| `open` | `float64` | Opening price |
+| `high` | `float64` | Highest price during the period |
+| `low` | `float64` | Lowest price during the period |
+| `close` | `float64` | Closing price |
+| `adj_close` | `float64` | Adjusted closing price (accounting for splits & dividends) |
+| `volume` | `int64` | Total trading volume |
+
+---
+
+## Quickstart & Usage
+
+### Loading with Pandas
+
+```python
+import pandas as pd
+
+# Load the Parquet dataset directly from Hugging Face
+df = pd.read_parquet("hf://datasets/helloadhav/Stock-pile/data.parquet")
+
+# View sample records
+print(df.head())