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---
language:
- en
license: mit
tags:
- cricket
- sports
- ball-by-ball
- nepal
- dataset
- t20
- match-summary
pretty_name: Nepal Premier League Dataset
task_categories:
- tabular-classification
- tabular-regression
configs:
- config_name: ball_by_ball
description: Ball-by-ball details of each delivery in the Nepal Premier League.
- config_name: match_summary
description: Match-level summary with team scores, toss info, and results.
size_categories:
- 10k<n<100k
dataset_info:
- description: >
This dataset contains two configurations:
• `ball_by_ball`: ball-by-ball data for all Nepal Premier League matches.
• `match_summary`: aggregated match-level statistics for each match.
---
# 🏏 Nepal Premier League Dataset
This dataset provides structured data from the **Nepal Premier League (NPL)**.
It includes two configurations:
- **`ball_by_ball`** — Every ball delivered in NPL matches, with batsman, bowler, runs, extras, and dismissals.
- **`match_summary`** — Per-match summaries including teams, venue, toss details, scores, and results.
## 🧠 Usage
```python
from datasets import load_dataset
# Ball-by-ball data
ball_data = load_dataset("samarpanrai/Nepal-Premier-League-ball-by-ball", "ball_by_ball")
# Match summary data
match_data = load_dataset("samarpanrai/Nepal-Premier-League-ball-by-ball", "match_summary")
```
## Files
- **NPL_matches.csv**: Data for each match in the Nepal Premier League, including information such as:
- match_id
- date
- teams
- match_result
- total_runs, wickets, and other match statistics
- **NPL_final.csv**: A more granular dataset that includes ball-by-ball data for every match, including:
- match_id
- ball_over
- bowler
- batsman
- batsman_runs
- dismissal_kind
- shot_direction, and other data
## Purpose
The datasets provide insights into the performance and outcomes of the Nepal Premier League (NPL) matches. The ball-by-ball data allows for in-depth analysis and exploration of the matches, while the match-level dataset offers an overview of each game played in the league.
## Usage
You can use these datasets for:
- Statistical analysis of player performance
- Match outcome prediction models
- Visualizing trends and patterns across multiple seasons
- Research and analysis related to cricket match dynamics
## License
The datasets are provided for research, analysis, and educational purposes. Please attribute the source appropriately when using the data.
---
For any questions or issues, please contact [[email protected]].
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