Datasets:
metadata
license: other
task_categories:
- tabular-classification
language:
- en
tags:
- cricket
- cricsheet
- parquet
- aicrix
size_categories:
- 1M<n<10M
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).