THULab/curry_data

Stephen Curry Game Log (TsFile)

This dataset is an Apache TsFile conversion of jawwaadsabree/CurryData.

Modalities: Time-series.

Overview

• Per-game NBA stat lines for Stephen Curry across seasons 2009–2016.

• Game statistics (PTS, REB, AST, MIN, FG/3PT/FT splits, etc.) plus engineered cyclic date features.

• Each season is a device identified by the season TAG.

• Converted observations: 1,204 rows across 1 TsFile file(s)

• Source format: csv

TsFile schema

• Time — source Date (epoch nanoseconds), converted to INT64 milliseconds.

Column	Role	Type	Meaning
Time	TIME	INT64 (ms)	sample timestamp
season	TAG	STRING	season (e.g. 2009_2010)
Result	FIELD	FLOAT	win/loss
MIN	FIELD	FLOAT	—
REB	FIELD	FLOAT	—
AST	FIELD	FLOAT	—
BLK	FIELD	FLOAT	—
STL	FIELD	FLOAT	—
PF	FIELD	FLOAT	—
TO	FIELD	FLOAT	—
PTS	FIELD	FLOAT	points
FG_Made	FIELD	FLOAT	—
FG_Attempts	FIELD	FLOAT	—
c_3PT_Made	FIELD	FLOAT	—
c_3PT_Attempts	FIELD	FLOAT	—
FT_Made	FIELD	FLOAT	—
FT_Attempts	FIELD	FLOAT	—
Opponent_1	FIELD	FLOAT	—
Opponent_2	FIELD	FLOAT	—
Opponent_3	FIELD	FLOAT	—
Opponent_4	FIELD	FLOAT	—
Opponent_5	FIELD	FLOAT	—
Opponent_6	FIELD	FLOAT	—
Opponent_7	FIELD	FLOAT	—
Opponent_8	FIELD	FLOAT	—
Opponent_9	FIELD	FLOAT	—
Opponent_10	FIELD	FLOAT	—
Opponent_11	FIELD	FLOAT	—
Opponent_12	FIELD	FLOAT	—
Opponent_13	FIELD	FLOAT	—
Opponent_14	FIELD	FLOAT	—
Opponent_15	FIELD	FLOAT	—
Opponent_16	FIELD	FLOAT	—
Opponent_17	FIELD	FLOAT	—
Opponent_18	FIELD	FLOAT	—
Opponent_19	FIELD	FLOAT	—
Opponent_20	FIELD	FLOAT	—
Opponent_21	FIELD	FLOAT	—
Opponent_22	FIELD	FLOAT	—
Opponent_23	FIELD	FLOAT	—
Opponent_24	FIELD	FLOAT	—
Opponent_25	FIELD	FLOAT	—
Opponent_26	FIELD	FLOAT	—
Opponent_27	FIELD	FLOAT	—
Opponent_28	FIELD	FLOAT	—
Opponent_29	FIELD	FLOAT	—
Opponent_30	FIELD	FLOAT	—
Is_Home	FIELD	FLOAT	—
Year	FIELD	FLOAT	—
Month_Sin	FIELD	FLOAT	—
Month_Cos	FIELD	FLOAT	—
Day_Sin	FIELD	FLOAT	—
Day_Cos	FIELD	FLOAT	—
Day_of_Week_Sin	FIELD	FLOAT	—
Day_of_Week_Cos	FIELD	FLOAT	—
Day_of_Year_Sin	FIELD	FLOAT	—
Day_of_Year_Cos	FIELD	FLOAT	—
Is_Playoff	FIELD	FLOAT	—
Is_Regular_Season	FIELD	FLOAT	—
Is_Preseason	FIELD	FLOAT	—

Conversion notes

• season (from the source file name) is a TAG so each season is a separate device.
• 57 game-stat / engineered-feature columns kept as FLOAT/INT64; no columns dropped.

Source & license

• Original dataset: https://huggingface.co/datasets/jawwaadsabree/CurryData
• Author / publisher: jawwaadsabree
• License: not declared by the original dataset; please defer to the original

Usage

Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file:

from pathlib import Path
from tsfile import TsFileReader

path = Path("curry_data.tsfile")
with TsFileReader(str(path)) as reader:
    schemas = reader.get_all_table_schemas()
    print("tables:", list(schemas))
    table_name = next(iter(schemas))
    table = schemas[table_name]
    columns = [column.get_column_name() for column in table.get_columns()]
    print("columns:", columns)
    field_names = [
        column.get_column_name()
        for column in table.get_columns()
        if column.get_column_name() not in {"Time", "time"}
    ]
    if field_names:
        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
            batch = result.read_arrow_batch()
            if batch is not None:
                print(batch.to_pandas().head())