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README.md

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----
-license: apache-2.0
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+# Politics1M Dataset
+
+OHLC price data for political prediction markets, aggregated into 5-minute candles.
+
+## Dataset Structure
+
+- **Format**: Parquet
+- **Time Resolution**: 5-minute intervals
+- **Source**: Polymarket prediction markets
+- **Scope**: Political markets with resolved outcomes
+
+## Data Schema
+
+- `condition_id`: Market condition identifier
+- `market_id`: Market identifier
+- `token_id`: Outcome token identifier
+- `bucket_start_ts`: Unix timestamp (5-minute bucket start)
+- `open`, `high`, `low`, `close`: Price values (0-1 range)
+- `volume`: Total trading volume
+- `trade_count`: Number of trades in bucket
+- `question`: Market question text
+- `theme`: Market category
+- `target_resolution`: Ground truth outcome (0 or 1)
+- `yes_won`: Binary label indicating if "Yes" outcome won
+
+## Usage
+
+```python
+import pandas as pd
+
+df = pd.read_parquet("v0.1.0/02_process/ohlc.parquet")
+```
+