Add link to paper and task metadata

README.md

@@ -1,5 +1,21 @@
+---
+license: cc-by-4.0
+task_categories:
+- time-series-forecasting
+language:
+- en
+pretty_name: Poseidon
+size_categories:
+- 1M<n<10M
+tags:
+- geophysics
+- earthquake-prediction
+---
+
 # Poseidon: Global Earthquake Dataset (1990-2020)
 
+This is the official dataset for the paper [POSEIDON: Physics-Optimized Seismic Energy Inference and Detection Operating Network](https://huggingface.co/papers/2601.02264).
+
 ## Overview
 
 **Poseidon** is a largest opensource global earthquake dataset containing **2.8+ million seismic events** spanning 30 years (1990-2020). Named after the Greek god of earthquakes, this dataset is designed for machine learning applications including earthquake prediction, seismic hazard analysis, spatiotemporal pattern recognition, and energy-based modeling.
@@ -97,7 +113,7 @@ Example values:
 
 ## Usage
 
-```
+```python
 import pandas as pd
 df = pd.read_csv("poseidon.csv")
 df['datetime'] = pd.to_datetime(df['time'])
@@ -105,7 +121,7 @@ df['datetime'] = pd.to_datetime(df['time'])
 
 ### Example: Filter Significant Events
 
-```
+```python
 major_quakes = df[df['magnitude'] >= 6.0]
 print(f"Major earthquakes (M6+): {len(major_quakes):,}")