This dataset requires a paid license. Please purchase access at the link below and provide your Hugging Face username. Once purchased, submit an access request on this page. Access is granted manually.

NBA Same-Game Parlay Teammate Stat Pair Dataset for Correlation Research

Question this dataset helps answer

Which NBA teammate stat pairs historically move together in same-game parlay research workflows, and what pregame context exists before both players clear common scoring, rebound, assist, or PRA thresholds?

Short answer

This dataset helps sports-betting researchers, NBA analysts, and dashboard builders compare, screen, and investigate teammate stat relationships using pregame rolling form, shared team context, and prior joint-game signals.

What the public preview proves

Which teammate pairs, teams, seasons, and game environments are present in the sample
Which fields are usable as pre-event pair-history features versus post-event joint outcomes
Which rows already support co-hit, pair-correlation, and threshold-screening analysis

Public preview vs full dataset

Preview: 10000 rows and 102 columns
Full: 1193876 rows and 102 columns

The full dataset includes 1193876 rows across NBA teammate-pair game observations, making it large enough for dashboard analysis, historical filtering, same-game parlay research, and exploratory modeling workflows.

Full dataset access: https://thearticulated.gumroad.com/l/wieigj

This product is built around a specific buyer problem rather than a generic sports-data export. Plenty of public NBA box scores exist, but buyers who care about same-game parlay research still have to do the expensive part themselves. They need to decide which player pairings belong together, reshape player-game logs into teammate-pair rows, compute prior shared-game history without leaking future outcomes, track which pairs tend to clear thresholds together, and keep that history aligned with shared game context such as spread, total, implied team total, home-away status, and rest. Generic player-game tables do not answer that workflow cleanly. This dataset does.

Each row represents one unordered pair of teammates in one completed NBA regular-season or playoff game from the 2017-18 through 2025-26 seasons. The full file contains 1193876 rows across 102 columns. That row volume matters. It is large enough for league-wide filtering, season-over-season comparison, pair-history dashboards, team-level screening, threshold studies, and time-aware exploratory modeling. Buyers can analyze pairs by team, by season, by player combination, by position combination, by rest bucket, by line context, or by prior joint-game depth without reducing the work to a small toy sample.

The pre-event side of the table is the core commercial value. Every row includes rolling player form for both teammates, such as five-game rolling minutes, points, rebounds, assists, and PRA. It also includes same-game context that both players shared before tip-off: team rest bucket, back-to-back status, compressed-schedule flags, archived closing spread and total context where available, and implied team totals. On top of that, the dataset adds pair-history features that are difficult to build correctly by hand: prior joint games, prior same-season joint games, prior combined points and PRA averages, prior combined minutes averages, prior co-hit rates for common thresholds, and rolling pair-level point and PRA correlation signals based only on earlier joint games.

That pair-history layer is what makes the product different from a normal NBA player-game log. A buyer can filter directly for teammate pairs that already have enough shared-game history to be worth studying. They can compare pairs that often clear 15-plus points together against pairs that produce the same combined scoring volume but distribute it less evenly. They can screen for pairs with stronger recent correlation signals or for pairs that only co-hit in certain team-total ranges, spread ranges, or role configurations. The dataset is positioned as research infrastructure for those questions, not as a recommendation engine.

The post-event side of the table captures what actually happened in the completed game. That includes both players' points, rebounds, assists, three-pointers made, PRA totals, combined pair outputs, and joint threshold-hit flags such as whether both players scored at least 15 points, both recorded at least 5 rebounds, or both made at least 1 three-pointer. This is deliberate. The table keeps a clear separation between pre-event features and post-event outcomes so buyers can use it for responsible historical analysis, train-test workflows, and dashboard building without guessing which fields leak future information.

Archived closing spread and total fields are included where the public line archive supports them. The file does not pretend that every season has identical betting-line depth. Instead, it includes has_archived_closing_line_context so analysts can filter into the exact subset where closing-line context is available. That makes the dataset more honest and more useful than a product that hides coverage gaps. Buyers who want only pair-history and team-context analysis can ignore the line columns. Buyers who want to compare co-hit behavior across implied-total bands or spread bands can filter into the supported subset.

Responsible use note

This dataset is for research, analysis, dashboard building, educational use, and exploratory modeling. It does not provide betting advice, picks, guarantees, or predictions of future outcomes. It should not be marketed as a way to guarantee winning parlays, beat sportsbooks, or produce certain returns.

Modeling notes

Each row represents one unordered pair of teammates in one completed NBA game.
Pre-event features include rolling player form for both teammates, shared rest context, shared line context, and prior joint-game history.
Post-event outcomes include both players' recorded box-score lines plus pair-level combined outputs and threshold-hit flags.
The coverage window runs from the 2017-18 season through the 2025-26 season.
The full dataset contains 1193876 rows, which is large enough for train-test splits by date, by season, by team, or by minimum shared-game depth.
A sensible modeling workflow should split by date or season rather than shuffle randomly because the pair-history features are time ordered.
The archived line subset is partial, so any workflow that depends on spread or total context should filter on has_archived_closing_line_context.
The threshold-hit flags are historical outcomes for analysis, not suggestions for future wagers.
The dataset is descriptive infrastructure for pair research, not a finished betting model.

Why the free sample matters

The public sample proves the commercial claim quickly. A buyer can inspect the schema and immediately verify that the file is not just a copied box-score table. They can see stable pair identifiers, player A and player B fields, pair-position combinations, pregame rolling features for both sides of the pair, prior joint-game rates, correlation columns, and actual pair outcomes. They can also check whether the seasons, teams, and stat types they care about are present before paying for the full file. That is what the public sample is supposed to do: prove the buyer task, the row meaning, and the quality of the enrichment.

Source and build notes

The build uses public SportsDataverse NBA player box score and schedule files, then reshapes completed games into teammate-pair observations locally. Pair-history features are computed with time-ordering preserved so prior joint-game counts, averages, rates, and rolling correlations only use earlier games. This avoids a common DIY mistake where analysts accidentally mix future information into historical pair research. The output is a single, analysis-ready table rather than a stack of raw files that still need teammate joins, pair identifiers, and feature engineering.

Dataset Preview

record_id	pair_key	pair_label	season_end_year	season_label	season_type_label	game_id	game_date	team_id	team_abbreviation	team_display_name	opponent_team_id	opponent_team_abbreviation	opponent_team_display_name	home_away	is_home	rest_bucket	is_back_to_back	games_in_last_4_days_including_today	is_third_game_in_four_nights	games_in_last_6_days_including_today	is_fourth_game_in_six_nights	rest_advantage_days	has_archived_closing_line_context	closing_spread_line	closing_total_line	team_implied_total	opponent_implied_total	team_score	opponent_team_score	team_margin	won_game	total_points	player_id_a	player_name_a	player_position_a	starter_flag_a	minutes_a	points_a	rebounds_a	assists_a	points_rebounds_assists_a	rolling_minutes_last_5_a	rolling_points_last_5_a	rolling_rebounds_last_5_a	rolling_assists_last_5_a	rolling_pra_last_5_a	season_to_date_points_avg_a	season_to_date_rebounds_avg_a	season_to_date_assists_avg_a	prior_games_played_a	season_to_date_games_a	player_id_b	player_name_b	player_position_b	starter_flag_b	minutes_b	points_b	rebounds_b	assists_b	three_point_field_goals_made_b	points_rebounds_assists_b	rolling_minutes_last_5_b	rolling_points_last_5_b	rolling_rebounds_last_5_b	rolling_assists_last_5_b	rolling_pra_last_5_b	season_to_date_points_avg_b	season_to_date_rebounds_avg_b	season_to_date_assists_avg_b	prior_games_played_b	season_to_date_games_b	pair_position_combo	combined_minutes	combined_points	combined_rebounds	combined_assists	combined_pra	combined_three_pointers_made	both_started_flag	both_scored_10_points	both_scored_15_points	both_scored_20_points	both_recorded_5_rebounds	both_recorded_4_assists	both_hit_1_three	prior_joint_games	prior_joint_games_same_season	prior_joint_combined_points_avg	prior_joint_combined_pra_avg	prior_joint_combined_minutes_avg	prior_joint_both_15_points_rate	prior_joint_both_20_points_rate	prior_joint_both_5_rebounds_rate	prior_joint_both_4_assists_rate	prior_joint_both_1_three_rate	source_url	source_domain	last_collected_at
400975683_1006__2382	1006__2382	Richard Jefferson + Devin Harris	2018	2017-18	regular_season	400975683	2018-03-03 00:00:00	7	DEN	Denver Nuggets	5	CLE	Cleveland Cavaliers	away	False	back_to_back	True	2	False	3	False	-1	True	4	228.5	112.25	116.25	126	117	9	True	243	1006	Richard Jefferson	F	False	15	4	1	2	7	15.6	3.0	2.4	0.4	5.8	1.733333	1.0	0.6	15	15	2382	Devin Harris	G	False	17	4	1	1	1	6	15.6	5.6	1	2.2	8.8	8.17647	1.82353	1.96078	51	51	F/G	32	8	2	3	13	1	False	False	False	False	False	False	False	0	0									https://raw.githubusercontent.com/sportsdataverse/hoopR-nba-raw/main/nba/json/final/400975683.json	github.com, raw.githubusercontent.com	2026-06-11 21:58:51
400975716_1006__2382	1006__2382	Richard Jefferson + Devin Harris	2018	2017-18	regular_season	400975716	2018-03-07 00:00:00	7	DEN	Denver Nuggets	5	CLE	Cleveland Cavaliers	home	True	back_to_back	True	2	False	4	True	-1	True	-3.5	229	116.25	112.75	108	113	-5	False	221	1006	Richard Jefferson	F	False	1	0	0	0	0	14.8	3.0	1.8	0.8	5.6	1.875	1.0	0.6875	16	16	2382	Devin Harris	G	False	15	7	2	2	1	11	16.2	6	1.2	1.6	8.8	8.07547	1.86793	1.96226	53	53	F/G	16	7	2	2	11	1	False	False	False	False	False	False	False	1	1	8.0	13.0	32.0	0.0	0.0	0.0	0.0	0.0	https://raw.githubusercontent.com/sportsdataverse/hoopR-nba-raw/main/nba/json/final/400975716.json	github.com, raw.githubusercontent.com	2026-06-11 21:58:51
400975742_1006__2382	1006__2382	Richard Jefferson + Devin Harris	2018	2017-18	regular_season	400975742	2018-03-11 00:00:00	7	DEN	Denver Nuggets	23	SAC	Sacramento Kings	home	True	one_day_rest	False	2	False	4	True	0	True	-11.5	213	112.25	100.75	130	104	26	True	234	1006	Richard Jefferson	F	False	5	0	0	2	2	10.2	1.8	1.2	0.8	3.8	1.764706	0.941176	0.647059	17	17	2382	Devin Harris	G	False	20	11	1	1	3	13	17.6	7.6	1.6	1.6	10.8	8.12727	1.83636	1.94545	55	55	F/G	25	11	1	3	15	3	False	False	False	False	False	False	False	2	2	7.5	12.0	24.0	0.0	0.0	0.0	0.0	0.0	https://raw.githubusercontent.com/sportsdataverse/hoopR-nba-raw/main/nba/json/final/400975742.json	github.com, raw.githubusercontent.com	2026-06-11 21:58:51
400975815_1006__2382	1006__2382	Richard Jefferson + Devin Harris	2018	2017-18	regular_season	400975815	2018-03-21 00:00:00	7	DEN	Denver Nuggets	4	CHI	Chicago Bulls	away	False	one_day_rest	False	2	False	3	False	0	True	-9	216	112.5	103.5	135	102	33	True	237	1006	Richard Jefferson	F	False	4	0	1	2	3	8.2	1.8	0.6	1.0	3.4	1.666667	0.888889	0.722222	18	18	2382	Devin Harris	G	False	25	14	3	5	3	22	20.4	10.2	1.2	2.8	14.2	8.3	1.78333	2.01667	60	60	F/G	29	14	4	7	25	3	False	False	False	False	False	False	False	3	3	8.666667	13.0	24.333333	0.0	0.0	0.0	0.0	0.0	https://raw.githubusercontent.com/sportsdataverse/hoopR-nba-raw/main/nba/json/final/400975815.json	github.com, raw.githubusercontent.com	2026-06-11 21:58:51
400974838_1006__2488653	1006__2488653	Richard Jefferson + Mason Plumlee	2018	2017-18	regular_season	400974838	2017-10-29 00:00:00	7	DEN	Denver Nuggets	17	BKN	Brooklyn Nets	away	False	one_day_rest	False	2	False	3	False	0	True	-5.5	222.5	114	108.5	124	111	13	True	235	1006	Richard Jefferson	F	False	2	0	1	0	1									0	0	2488653	Mason Plumlee	C	False	23	10	7	0	0	17	16.4	6.8	4.6	1.8	13.2	6.8	4.6	1.8	5	5	C/F	25	10	8	0	18	0	False	False	False	False	False	False	False	0	0									https://raw.githubusercontent.com/sportsdataverse/hoopR-nba-raw/main/nba/json/final/400974838.json	github.com, raw.githubusercontent.com	2026-06-11 21:58:51

Access Requirements (Paid Dataset)

This dataset is behind manual gated access.

To obtain access:

Full dataset access:
https://thearticulated.gumroad.com/l/wieigj
Provide your Hugging Face username at checkout.
Return to this Hugging Face page and click:
"Request Access"
Your access will be approved within 1-12 hours.

Once approved, you can use the Python snippet at the bottom of this README to load the dataset.

Dataset Structure

Total rows: 1,193,876

Total columns: 102

Splits

data: 1,193,876 rows

Data Files

data: data/data.parquet

Data Dictionary

The table below describes the columns included in this dataset.

column	pandas_dtype	dataset_type	description
record_id	str	string	Text column. Stable unique identifier for one teammate pair in one completed NBA game.
pair_key	str	string	Text column. Stable unordered teammate-pair key built from the two player identifiers.
pair_label	str	string	Text column. Human-readable pair label built from the two player names.
season_end_year	Int64	integer	Whole-number numeric column. Ending year of the NBA season, such as 2026 for the 2025-26 season.
season_label	str	string	Text column. Human-readable season label such as 2025-26.
season_type_label	str	string	Text column. Regular-season or playoff label for the game.
game_id	str	integer-like string	Stored as text, but values appear to represent whole numbers. SportsDataverse and ESPN-derived game identifier.
game_date	datetime64[s]	datetime	Date or timestamp column. Calendar date of the completed game.
team_id	Int64	integer	Whole-number numeric column. Team identifier for the teammate pair.
team_abbreviation	str	string	Text column. Team abbreviation for the teammate pair row.
team_display_name	str	string	Text column. Team display name for the teammate pair row.
opponent_team_id	Int64	integer	Whole-number numeric column. Opponent team identifier for the row.
opponent_team_abbreviation	str	string	Text column. Opponent team abbreviation.
opponent_team_display_name	str	string	Text column. Opponent team display name.
home_away	str	string	Text column. Home or away label for the teammate pair row.
is_home	bool	boolean	True/false column. Boolean flag showing whether the pair played at home.
rest_bucket	str	string	Text column. Bucketed rest label derived from the team schedule entering the game.
is_back_to_back	bool	boolean	True/false column. Boolean flag for the second night of a back-to-back or zero-rest spot.
games_in_last_4_days_including_today	Int64	integer	Whole-number numeric column. Count of team games in the current four-day window including this game.
is_third_game_in_four_nights	bool	boolean	True/false column. Boolean flag showing whether the team reached a three-games-in-four-nights spot.
games_in_last_6_days_including_today	Int64	integer	Whole-number numeric column. Count of team games in the current six-day window including this game.
is_fourth_game_in_six_nights	bool	boolean	True/false column. Boolean flag showing whether the team reached a four-games-in-six-nights spot.
rest_advantage_days	Int64	integer	Whole-number numeric column. Team rest gap minus opponent rest gap.
has_archived_closing_line_context	bool	boolean	True/false column. Boolean flag showing whether archived spread and total context was available for the game.
closing_spread_line	float64	float	Decimal numeric column. Team-side archived closing spread line when available. Negative values indicate the pair's team was favored.
closing_total_line	float64	float	Decimal numeric column. Archived closing game total line when available.
team_implied_total	float64	float	Decimal numeric column. Approximate team implied total derived from the archived spread and total lines when available.
opponent_implied_total	float64	float	Decimal numeric column. Approximate opponent implied total derived from the archived spread and total lines when available.
team_score	Int64	integer	Whole-number numeric column. Final points scored by the pair's team.
opponent_team_score	Int64	integer	Whole-number numeric column. Final points scored by the opponent team.
team_margin	Int64	integer	Whole-number numeric column. Final point differential from the teammate-pair team perspective.
won_game	bool	boolean	True/false column. Boolean flag showing whether the pair's team won.
total_points	Int64	integer	Whole-number numeric column. Combined final points in the game.
player_id_a	str	integer-like string	Stored as text, but values appear to represent whole numbers. First player identifier in the unordered teammate pair.
player_name_a	str	string	Text column. First player name in the unordered teammate pair.
player_position_a	str	string	Text column. First player position abbreviation from the source feed.
starter_flag_a	bool	boolean	True/false column. Boolean flag showing whether the first player started the game.
minutes_a	float64	float	Decimal numeric column. Minutes played by the first player in the game.
points_a	Int64	integer	Whole-number numeric column. Points scored by the first player in the game.
rebounds_a	Int64	integer	Whole-number numeric column. Rebounds recorded by the first player in the game.
assists_a	Int64	integer	Whole-number numeric column. Assists recorded by the first player in the game.
three_point_field_goals_made_a	Int64	integer	Whole-number numeric column. Three-pointers made by the first player in the game.
points_rebounds_assists_a	Int64	integer	Whole-number numeric column. PRA total for the first player in the game.
rolling_minutes_last_5_a	float64	float	Decimal numeric column. Pregame rolling average minutes across the previous five recorded games for the first player.
rolling_points_last_5_a	float64	float	Decimal numeric column. Pregame rolling average points across the previous five recorded games for the first player.
rolling_rebounds_last_5_a	float64	float	Decimal numeric column. Pregame rolling average rebounds across the previous five recorded games for the first player.
rolling_assists_last_5_a	float64	float	Decimal numeric column. Pregame rolling average assists across the previous five recorded games for the first player.
rolling_pra_last_5_a	float64	float	Decimal numeric column. Pregame rolling average PRA across the previous five recorded games for the first player.
season_to_date_points_avg_a	float64	float	Decimal numeric column. Pregame same-season average points before this game for the first player.
season_to_date_rebounds_avg_a	float64	float	Decimal numeric column. Pregame same-season average rebounds before this game for the first player.
season_to_date_assists_avg_a	float64	float	Decimal numeric column. Pregame same-season average assists before this game for the first player.
prior_games_played_a	Int64	integer	Whole-number numeric column. Count of prior recorded games for the first player before this row.
season_to_date_games_a	Int64	integer	Whole-number numeric column. Count of prior same-season games for the first player before this row.
player_id_b	str	integer-like string	Stored as text, but values appear to represent whole numbers. Second player identifier in the unordered teammate pair.
player_name_b	str	string	Text column. Second player name in the unordered teammate pair.
player_position_b	str	string	Text column. Second player position abbreviation from the source feed.
starter_flag_b	bool	boolean	True/false column. Boolean flag showing whether the second player started the game.
minutes_b	float64	float	Decimal numeric column. Minutes played by the second player in the game.
points_b	Int64	integer	Whole-number numeric column. Points scored by the second player in the game.
rebounds_b	Int64	integer	Whole-number numeric column. Rebounds recorded by the second player in the game.
assists_b	Int64	integer	Whole-number numeric column. Assists recorded by the second player in the game.
three_point_field_goals_made_b	Int64	integer	Whole-number numeric column. Three-pointers made by the second player in the game.
points_rebounds_assists_b	Int64	integer	Whole-number numeric column. PRA total for the second player in the game.
rolling_minutes_last_5_b	float64	float	Decimal numeric column. Pregame rolling average minutes across the previous five recorded games for the second player.
rolling_points_last_5_b	float64	float	Decimal numeric column. Pregame rolling average points across the previous five recorded games for the second player.
rolling_rebounds_last_5_b	float64	float	Decimal numeric column. Pregame rolling average rebounds across the previous five recorded games for the second player.
rolling_assists_last_5_b	float64	float	Decimal numeric column. Pregame rolling average assists across the previous five recorded games for the second player.
rolling_pra_last_5_b	float64	float	Decimal numeric column. Pregame rolling average PRA across the previous five recorded games for the second player.
season_to_date_points_avg_b	float64	float	Decimal numeric column. Pregame same-season average points before this game for the second player.
season_to_date_rebounds_avg_b	float64	float	Decimal numeric column. Pregame same-season average rebounds before this game for the second player.
season_to_date_assists_avg_b	float64	float	Decimal numeric column. Pregame same-season average assists before this game for the second player.
prior_games_played_b	Int64	integer	Whole-number numeric column. Count of prior recorded games for the second player before this row.
season_to_date_games_b	Int64	integer	Whole-number numeric column. Count of prior same-season games for the second player before this row.
pair_position_combo	str	string	Text column. Sorted position-combination label for the teammate pair, such as G/F or C/F.
combined_minutes	float64	float	Decimal numeric column. Combined minutes played by the two teammates in the game.
combined_points	Int64	integer	Whole-number numeric column. Combined points scored by the two teammates in the game.
combined_rebounds	Int64	integer	Whole-number numeric column. Combined rebounds recorded by the two teammates in the game.
combined_assists	Int64	integer	Whole-number numeric column. Combined assists recorded by the two teammates in the game.
combined_pra	Int64	integer	Whole-number numeric column. Combined PRA total for the teammate pair in the game.
combined_three_pointers_made	Int64	integer	Whole-number numeric column. Combined three-pointers made by the teammate pair in the game.
both_started_flag	bool	boolean	True/false column. Boolean flag showing whether both teammates started the game.
both_scored_10_points	bool	boolean	True/false column. Boolean flag showing whether both teammates scored at least 10 points.
both_scored_15_points	bool	boolean	True/false column. Boolean flag showing whether both teammates scored at least 15 points.
both_scored_20_points	bool	boolean	True/false column. Boolean flag showing whether both teammates scored at least 20 points.
both_recorded_5_rebounds	bool	boolean	True/false column. Boolean flag showing whether both teammates recorded at least 5 rebounds.
both_recorded_4_assists	bool	boolean	True/false column. Boolean flag showing whether both teammates recorded at least 4 assists.
both_hit_1_three	bool	boolean	True/false column. Boolean flag showing whether both teammates made at least 1 three-pointer.
prior_joint_games	Int64	integer	Whole-number numeric column. Count of prior recorded games for the same teammate pair before this row.
prior_joint_games_same_season	Int64	integer	Whole-number numeric column. Count of prior same-season games for the same teammate pair before this row.
prior_joint_combined_points_avg	float64	float	Decimal numeric column. Pregame historical average combined points for the pair based only on earlier joint games.
prior_joint_combined_pra_avg	float64	float	Decimal numeric column. Pregame historical average combined PRA for the pair based only on earlier joint games.
prior_joint_combined_minutes_avg	float64	float	Decimal numeric column. Pregame historical average combined minutes for the pair based only on earlier joint games.
prior_joint_both_15_points_rate	float64	float	Decimal numeric column. Pregame historical rate at which both teammates scored at least 15 points in earlier joint games.
prior_joint_both_20_points_rate	float64	float	Decimal numeric column. Pregame historical rate at which both teammates scored at least 20 points in earlier joint games.
prior_joint_both_5_rebounds_rate	float64	float	Decimal numeric column. Pregame historical rate at which both teammates recorded at least 5 rebounds in earlier joint games.
prior_joint_both_4_assists_rate	float64	float	Decimal numeric column. Pregame historical rate at which both teammates recorded at least 4 assists in earlier joint games.
prior_joint_both_1_three_rate	float64	float	Decimal numeric column. Pregame historical rate at which both teammates made at least 1 three-pointer in earlier joint games.
prior_joint_points_corr_last_10	float64	float	Decimal numeric column. Pregame rolling correlation of the two teammates' point outputs across the previous ten joint games when enough history exists.
prior_joint_pra_corr_last_10	float64	float	Decimal numeric column. Pregame rolling correlation of the two teammates' PRA outputs across the previous ten joint games when enough history exists.
source_url	str	string	Text column. Game-level JSON URL from the public SportsDataverse schedule source.
source_domain	str	string	Text column. Source domain summary for this dataset row.
last_collected_at	datetime64[us]	datetime	Date or timestamp column. UTC timestamp when this dataset build collected and transformed the row.

Intended Use

This dataset is intended for research, experimentation, analysis, and model prototyping.

Loading the Dataset


import os
from datasets import load_dataset

HUGGINGFACE_API_KEY_KARMANE = os.environ.get("HUGGINGFACE_API_KEY_KARMANE")

dataset = load_dataset(
    "Karmane/nba-same-game-parlay-teammate-stat-pairs",
    token=HUGGINGFACE_API_KEY_KARMANE,
)

print(dataset)
print(dataset[list(dataset.keys())[0]][0])

# getting the DataFrame itself
# df = dataset[list(dataset.keys())[0]].to_pandas()

Karmane. (2025). NBA Same-Game Parlay Teammate Stat Pair Dataset for Correlation Research. Hugging Face. /datasets/Karmane/nba-same-game-parlay-teammate-stat-pairs

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Total file size:

114 MB