AICrix — processed cricket data (Parquet)

Processed cricket tables in Apache Parquet (ZSTD compression), using the AICrix relational schema (db/migrations/001_cricket_schema.sql).

Files

File	Description
continents.parquet	Continents
countries.parquet	Countries
leagues.parquet	Competitions
seasons.parquet	Seasons
stages.parquet	Tournament stages
venues.parquet	Venues
positions.parquet	Player positions
teams.parquet	Teams
players.parquet	Players
squad.parquet	Season squads
officials.parquet	Umpires / referees
fixtures.parquet	Matches
fixture_dl_data.parquet	D/L method rows
runs.parquet	Innings team scores
batting_scoreboards.parquet	Batting cards
bowling_scoreboards.parquet	Bowling cards
balls.parquet	Ball-by-ball (largest table)
lineups.parquet	Match lineups
standings.parquet	Table standings
team_rankings.parquet	ICC-style rankings

Usage

import pandas as pd

fixtures = pd.read_parquet("fixtures.parquet")
print(fixtures[["id", "type", "starting_at"]].head())

With DuckDB (SQL over parquet):

import duckdb

duckdb.sql("SELECT id, type FROM 'fixtures.parquet' LIMIT 5").show()

Download from the Hub:

hf download veloria-tech/aicrix --repo-type dataset --local-dir ./aicrix

Schema notes

• Fixture / player / official IDs are strings (Cricsheet registry compatibility).
• Innings: S1–S4; ball uniqueness: (fixture_id, inning, over_number, ball_number).
• In queries: localteam_id = home, visitorteam_id = away.

Source

Derived from Cricsheet JSON (data/raw → NDJSON pipeline → Parquet export).