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
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]].