Update README.md

README.md

@@ -27,24 +27,26 @@ This dataset serves as the foundation for training large-scale deep learning mod
 
 ## Dataset Description
 
-The dataset contains **1-minute interval candlestick data** for the top 10 cryptocurrencies by market capitalization, sourced from Binance. It is stored in an optimized format that allows for high-performance training and multi-scale aggregation.
+The dataset contains **1-minute interval candlestick data** for the top 100 crypto pairs, sourced from Binance. It is stored in an optimized format that allows for high-performance training and multi-scale aggregation.
 
 ### Assets Included:
-- **BTCUSDT** (Bitcoin)
-- **ETHUSDT** (Ethereum)
-- **XRPUSDT** (XRP)
-- **BNBUSDT** (Binance Coin)
-- **SOLUSDT** (Solana)
-- **DOGEUSDT** (Dogecoin)
-- **ADAUSDT** (Cardano)
-- **TRXUSDT** (Tron)
-- **LINKUSDT** (Chainlink)
-- **AVAXUSDT** (Avalanche)
+- **BTC/USDT** (Bitcoin)
+- **ETH/USDT** (Ethereum)
+- **SOL/USDT** (XRP)
+- **XRP/USDT** (Binance Coin)
+- **DOGE/USDT** (Solana)
+- **LTC/USDT** (Dogecoin)
+- **BNB/USDT** (Cardano)
+- **ADA/USDT** (Tron)
+- **AVAX/USDT** (Chainlink)
+- **LINK/USDT** (Avalanche)
+
+and [many more](https://huggingface.co/datasets/duonlabs/apogee/raw/main/metadata.csv)
 
 ### Data Properties:
 Total dataset size:  
-- **~33 million candles**  
-- **~660 million tokens** (after uint8 tokenization)
+- **~200 million candles**  
+- **~4 billion tokens** (after uint8 tokenization)
 
 ## Storage Format
 
@@ -60,9 +62,9 @@ We tested performances under:
 - **Aggregation**: 1m, 5m, 30m, 2h, 8h, 1d
 
 On a consumer-grade laptop with an SSD:
-- **225.19 batches/sec**
-- **7,205.92 samples/sec**
-- **3,458,842.60 tokens/sec**
+- **254.79 batches/sec**
+- **8,153.39 samples/sec**
+- **3,921,782.52 tokens/sec**
 
 ## Applications