Update README.md

README.md

@@ -1,31 +1,59 @@
 ---
-dataset_info:
-  features:
-  - name: trade_id
-    dtype: string
-  - name: ticker
-    dtype: string
-  - name: count
-    dtype: int64
-  - name: created_time
-    dtype: string
-  - name: yes_price
-    dtype: int64
-  - name: no_price
-    dtype: int64
-  - name: taker_side
-    dtype: string
-  - name: market_ticker
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 817847758
-    num_examples: 5076511
-  download_size: 276868855
-  dataset_size: 817847758
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+pretty_name: Kalshi Trades (Aug 2023–Aug 2025)
+tags:
+  - prediction-markets
+  - kalshi
+  - trades
+  - economics
+  - finance
+  - time-series
+language:
+  - en
+task_categories:
+  - other
+size_categories:
+  - 1M<n<10M
 ---
+
+# Kalshi Prediction Markets — Trades
+
+High-volume trade-level data from Kalshi prediction markets spanning **Aug 2023–Aug 2025**, suitable for market microstructure, liquidity, and price-impact analysis.
+
+> **Rows:** ~5.08M trades (single split)  
+> **Schema stability:** stable  
+> **Privacy:** public market data, no PII
+
+---
+
+## Dataset Structure
+
+### Split
+- **train** — all trades
+
+### Features (columns)
+
+| name           | dtype   | description                                                                 |
+|----------------|---------|-----------------------------------------------------------------------------|
+| `trade_id`     | string  | Unique trade identifier                                                     |
+| `ticker`       | string  | Contract/series symbol at the trade level                                   |
+| `market_ticker`| string  | Parent market symbol                                                         |
+| `count`        | int64   | Matched quantity (units/contracts)                                          |
+| `created_time` | string  | UTC timestamp of trade (ISO-8601 string)                                    |
+| `yes_price`    | int64   | Price for **YES** leg (integer; typically cents or ticks)                   |
+| `no_price`     | int64   | Price for **NO** leg (integer; typically cents or ticks)                    |
+| `taker_side`   | string  | Aggressor side for the trade (string enum; e.g., `"buy"`/`"sell"` or similar)|
+
+> **Note:** `yes_price`/`no_price` are stored as integers. If your downstream pipeline expects dollars, convert as needed (e.g., divide by `100` if prices are in cents).
+
+---
+
+## Usage
+
+### Load with `datasets`
+```python
+from datasets import load_dataset
+
+ds = load_dataset("thomaswmitch/kalshi-prediction-markets-trades")  # update to your repo name if different
+print(ds)
+print(ds["train"].features)