Revised data card

README.md

@@ -16,10 +16,10 @@ tags:
 size_categories:
   - small
 task_categories:
-  - time-series-analysis
-  - tabular-data
-  - forecasting
-  - data-preprocessing
+  - time-series-forecasting
+  - tabular-classification
+  - tabular-regression
+  - other
 dataset_info:
   description: |
     This dataset contains official trading holidays and special trading sessions for the capital markets segment of NSE and BSE in India. The data is stored in two Parquet files:
@@ -46,16 +46,6 @@ This dataset contains official **trading holidays** and **special trading sessio
 ### 🛑 `Holidays.parquet`
 Contains the list of **regular trading holidays** when the capital markets were closed.
 
-**Columns:**
-- `Date`: Holiday date (`# 📅 Bhavcopy Calendar: NSE & BSE Holidays & Special Sessions (Capital Markets Only)
-
-This dataset contains official **trading holidays** and **special trading sessions** for the **capital markets segment** of the **National Stock Exchange (NSE)** and **Bombay Stock Exchange (BSE)** in India.
-
-## 📂 Files Included
-
-### 🛑 `Holidays.parquet`
-Contains the list of **regular trading holidays** when the capital markets were closed.
-
 **Columns:**
 - `Date`: Holiday date (`YYYY-MM-DD`)
 - `Holiday`: Description of the occasion (e.g., *Republic Day*, *Diwali*, etc.)
@@ -70,55 +60,9 @@ Contains **special or non-standard trading sessions**, such as *Muhurat Trading*
 ## 📈 Use Cases
 
 - Calendar-aware stock market data analysis
-- Backtesting strategies that skip holidays/special sessions
-- Feature engineering for financial machine learning models
-- Trading bot schedule adjustment
-
-## 📦 Format
-
-All data is stored in **Apache Parquet** format for efficient loading and compatibility with:
-
-- [Pandas](https://pandas.pydata.org/)
-- [Polars](https://pola.rs/)
-- [PyArrow](https://arrow.apache.org/)
-- [PySpark](https://spark.apache.org/)
-
-## 🗓️ Coverage
-
-- **Exchanges**: NSE and BSE  
-- **Market Segment**: Capital Markets only  
-- **Data Types**: Trading Holidays, Special Sessions  
-- **Region**: India  
-- **Last updated**: `Sep 14, 2025`  <!-- You can dynamically insert this in your script -->
-
-## 📜 License
-
-This dataset is shared under the **MIT License**.  
-Please refer to the official exchange circulars for the most accurate and up-to-date information before making trading decisions.
-
-## 🙌 Acknowledgements
-
-This dataset is compiled based on publicly available information published by the NSE and BSE.
-
----
-
-> Maintained by [@MSM02](https://huggingface.co/MSM02)
-)
-- `Holiday`: Description of the occasion (e.g., *Republic Day*, *Diwali*, etc.)
-
-### 🟡 `Special Sessions.parquet`
-Contains **special or non-standard trading sessions**, such as *Muhurat Trading*, *extended hours*, or *Saturday sessions*.
-
-**Columns:**
-- `Date`: Session date (`YYYY-MM-DD`)
-- `Description`: Type of session or context (e.g., *Muhurat Trading*, *Special Live Session*)
-
-## 📈 Use Cases
-
-- Calendar-aware stock market data analysis
-- Backtesting strategies that skip holidays/special sessions
-- Feature engineering for financial machine learning models
-- Trading bot schedule adjustment
+- Backtesting strategies that skip holidays or special sessions
+- Feature engineering for time-series or trading models
+- Scheduling automated trading bots
 
 ## 📦 Format
 
@@ -135,7 +79,7 @@ All data is stored in **Apache Parquet** format for efficient loading and compat
 - **Market Segment**: Capital Markets only  
 - **Data Types**: Trading Holidays, Special Sessions  
 - **Region**: India  
-- **Last updated**: `Sep 14, 2025`  <!-- You can dynamically insert this in your script -->
+- **Last updated**: Sep 14, 2025
 
 ## 📜 License