Datasets:

jeroenvdmeer
/

feyod

matchId int64 1 2.98k ⌀	playerId int64 1 9.42k ⌀	cardType stringclasses 4 values	minute int64 0 776 ⌀
2,288	1,996	YC	49
2,288	1,747	YC	53
2,288	2,220	YC	88
2,288	1,454	YC	9
2,288	1,390	YC	44
2,288	1,460	YC	46
2,288	1,262	YC	58
2,288	1,457	YC	68
2,288	1,459	YC	81
2,289	1,457	YC	72
2,289	2,584	YC	90
2,289	2,585	YC	93
2,289	2,579	YC	50
2,289	2,578	YC	53
2,289	1,454	YC	83
2,290	1,682	YC	49
2,290	1,258	YC	55
2,291	1,717	YC	27
2,291	1,733	YC	87
2,291	1,460	YC	33
2,291	1,460	Y2C	61
2,291	1,251	YC	64
2,291	1,191	YC	94
2,291	1,258	YC	35
2,291	1,531	YC	48
2,292	980	YC	89
2,292	1,574	YC	14
2,292	2,061	YC	28
2,292	1,755	YC	50
2,292	1,909	YC	18
2,293	1,391	YC	43
2,294	2,129	YC	20
2,294	2,618	YC	85
2,294	1,462	YC	62
2,294	2,622	YC	47
2,295	2,045	YC	97
2,295	1,455	YC	27
2,296	2,141	YC	35
2,296	2,072	YC	45
2,296	2,040	YC	49
2,296	1,136	YC	75
2,296	2,066	YC	88
2,296	2,129	YC	14
2,296	2,128	YC	60
2,296	2,135	YC	64
2,296	2,341	YC	4
2,297	1,472	YC	71
2,297	2,135	YC	66
2,297	1,554	YC	94
2,297	1,251	YC	92
2,298	2,043	YC	19
2,298	1,391	YC	31
2,298	2,135	YC	42
2,299	2,242	YC	91
2,299	2,285	YC	92
2,299	1,251	YC	39
2,300	1,695	YC	37
2,300	1,547	YC	75
2,300	2,278	YC	96
2,300	2,033	YC	88
2,300	1,251	YC	90
2,301	1,391	YC	32
2,301	1,605	YC	34
2,301	2,128	YC	42
2,301	1,251	YC	83
2,301	2,129	YC	96
2,301	1,916	YC	46
2,303	1,163	YC	66
2,303	2,646	YC	72
2,303	2,061	RC	80
2,303	2,129	YC	21
2,304	2,660	YC	20
2,304	1,970	YC	88
2,305	1,913	YC	47
2,305	1,785	YC	57
2,306	2,169	YC	57
2,306	2,689	YC	88
2,307	1,391	YC	16
2,307	1,390	YC	89
2,307	1,516	YC	65
2,307	2,698	YC	67
2,307	2,033	YC	82
2,309	1,421	YC	10
2,309	2,724	YC	53
2,309	2,717	YC	37
2,309	1,390	YC	51
2,309	2,726	YC	90
2,310	1,272	YC	34
2,311	2,754	YC	26
2,311	2,744	YC	90
2,311	2,347	YC	65
2,311	1,460	YC	87
2,312	1,457	YC	4
2,312	1,251	YC	13
2,312	1,702	YC	51
2,312	1,462	YC	35
2,900	2,769	YC	56
2,900	2,773	YC	69
2,900	2,775	YC	85
2,900	634	YC	9

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Feyod Football Match Data (Parquet)

This dataset contains football match data converted from the feyod.sql database.

Dataset Structure

The data is split into the following Parquet files, corresponding to relational tables:

Table	Description
`matches.parquet`	Main match information (dates, clubs, scores).
`players.parquet`	Player details.
`goals.parquet`	Goal events linked to matches and players.
`lineups.parquet`	Starting lineups and squads.
`substitutions.parquet`	Substitution events.
`cards.parquet`	Yellow and red cards.
`clubs.parquet`	Club information.
`competitions.parquet`	Competition names.
`seasons.parquet`	Season definitions.

Usage

from datasets import load_dataset

# Load a specific table (e.g., matches)
dataset = load_dataset("jeroenvdmeer/feyod-parquet", data_files="matches.parquet")
print(dataset['train'].to_pandas().head())

Downloads last month: 19

Size of downloaded dataset files:

789 kB

Size of the auto-converted Parquet files:

789 kB

Number of rows:

114,486