datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
nfl-stats-2021-2025
NFL stats 2021-2025
Per-season parquet files sourced from the nflverse
data releases via nflreadpy. One folder
per dataset, one file per season, manifest.csv at the root with row counts.
Load a single dataset:
from datasets import load_dataset
pbp = load_dataset("dismalnow/nfl-stats-2021-2025", "pbp")
Or read directly with polars/pandas/duckdb from the parquet files.
Datasets
dataset
files
rows
depth_charts
5
149,906
injuries
5
29,151
ngs_passing
5… See the full description on the dataset page: https://huggingface.co/datasets/MikeySports/nfl-stats-2021-2025.nfl-stats-2021-2025
NFL stats 2021-2025
Per-season parquet files sourced from the nflverse
data releases via nflreadpy. One folder
per dataset, one file per season, manifest.csv at the root with row counts.
Load a single dataset:
from datasets import load_dataset
pbp = load_dataset("dismalnow/nfl-stats-2021-2025", "pbp")
Or read directly with polars/pandas/duckdb from the parquet files.
Datasets
dataset
files
rows
depth_charts
5
149,906
injuries
5
29,151
ngs_passing
5… See the full description on the dataset page: https://huggingface.co/datasets/dismalnow/nfl-stats-2021-2025.yahoo_answers_qaYahoo Non-Factoid Question Dataset is derived from Yahoo's Webscope L6 collection using machine learning techiques such that the questions would contain non-factoid answers.The dataset contains 87,361 questions and their corresponding answers. Each question contains its best answer along with additional other answers submitted by users. Only the best answer was reviewed in determining the quality of the question-answer pair.NFL-Multi-Market-Timestamped-Odds-Team-Stats
🏈 NFL Multi-Market — Timestamped Odds & Team Stats (2018–2026)
Free sample — 18 games, 26,169 timestamped snapshots, eight Super Bowls.
Every NFL archive on the market gives you one closing number per game.
The full dataset gives you the entire line history: 2,816,380 timestamped snapshots
across 2,242 games, two named books and three markets — pre-match and in-running,
with the live score and the game clock on the same row as the price.
→ Get the full archive — 2,816,380… See the full description on the dataset page: https://huggingface.co/datasets/oliviersportsdata/NFL-Multi-Market-Timestamped-Odds-Team-Stats.nfl-object-detection
Dataset Labels
['helmet', 'helmet-blurred', 'helmet-difficult', 'helmet-partial', 'helmet-sideline']
Number of Images
{'valid': 1989, 'train': 6963, 'test': 995}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/nfl-object-detection", name="full")
example = ds['train'][0]
Roboflow Dataset Page… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/nfl-object-detection.nflnfl-anytime-touchdown-parlay-usage-trends
NFL Anytime Touchdown Parlay Research Dataset for Player Usage and Team Total Trends
Question this dataset helps answer
Which NFL skill players historically clear anytime-touchdown parlay legs, and what pregame snap share, touch share, and implied team-total context was present before kickoff?
Short answer
This dataset helps sports researchers, fantasy analysts, and parlay model builders compare NFL anytime-touchdown leg context using pregame snap… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/nfl-anytime-touchdown-parlay-usage-trends.nfl_bets_scoresdecontextualization
Dataset Card for "decontextualization"
More Information needed
nfl_pbp_allrecycling_app
Dataset Labels
['biodegradable', 'cardboard', 'glass', 'metal', 'paper', 'plastic']
Number of Images
{'valid': 2098, 'test': 1042, 'train': 7324}
How to Use
Install datasets:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("nflechas/recycling_app", name="full")
example = ds['train'][0]
Roboflow Dataset Page… See the full description on the dataset page: https://huggingface.co/datasets/nflechas/recycling_app.flybrain-nfl-polymarket
FlyBrain NFL x Polymarket dataset
NFL regular-season games 2023-2025 matched to resolved Polymarket moneyline markets, with kickoff-eve market odds.
pm_games.parquet: one row per game (schedule + scores + Polymarket market metadata + odds)
p_eve: market probability of outcome0 winning ~24h before kickoff (CLOB prices-history)
p_close: market probability at last trade before kickoff
outcome0 = first slug token's team (outcome0_is_home marks its role); slug order is alphabetical… See the full description on the dataset page: https://huggingface.co/datasets/sach0312/flybrain-nfl-polymarket.nli_mix
Dataset Card for "nli_mix"
More Information needed
nfl-anytime-touchdown-parlay-usage-trends-sample
NFL Anytime Touchdown Parlay Research Dataset for Player Usage and Team Total Trends
Question this dataset helps answer
Which NFL skill players historically clear anytime-touchdown parlay legs, and what pregame snap share, touch share, and implied team-total context was present before kickoff?
Short answer
This dataset helps sports researchers, fantasy analysts, and parlay model builders compare NFL anytime-touchdown leg context using pregame snap… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/nfl-anytime-touchdown-parlay-usage-trends-sample.NFLWR2025CLEANED
NFLWR2025CLEANED
NFLWR2025CLEANED is a cleaned ChatML instruction dataset built from SebastianAndreu/24679_NFL_WR_Dataset_2025. It is designed for supervised fine-tuning of models that answer questions about 2025 NFL wide receiver statistics.
The dataset transforms structured receiver statistics into conversational examples covering lookup, comparison, efficiency, usage, quarter splits, player totals, and concise scouting-style explanations.
Dataset Summary
Source… See the full description on the dataset page: https://huggingface.co/datasets/clarkkitchen22/NFLWR2025CLEANED.24679_NFL_WR_Dataset_2021
NFL Wide Receiver Performance Dataset (2021)
Dataset Description
This dataset contains comprehensive wide receiver performance statistics derived from NFL play-by-play data for the 2021. It includes game-level metrics, situational targeting patterns, defensive adjustments, and advanced efficiency calculations.
Dataset Summary
Season: 2021
Records: ~4.31k player-game observations
Features: 100+ columns including:
Core statistics (targets, receptions, yards… See the full description on the dataset page: https://huggingface.co/datasets/SebastianAndreu/24679_NFL_WR_Dataset_2021.semantic_sentence_similarity_ES
Dataset Card for "semantic_sentence_similarity_ES"
This dataset is based on https://huggingface.co/datasets/PlanTL-GOB-ES/sts-es, which includes the datasets presented at the SemEval 2014 and 2015 shared tasks on sentence similarity (see the link for more info about the citations). It also includes data from SemEval 2017.
nflPlayByPlayMCFormatnfl-weather-quarterback-passing-research-sample
NFL Weather and Quarterback Passing Dataset for Prop Research
Question this dataset helps answer:
Which NFL quarterbacks historically lose or sustain attempts, passing yards, and touchdown production in wind, cold, or outdoor game environments before building prop or fantasy research workflows?
This dataset helps sports researchers, fantasy analysts, and quarterback-prop builders compare NFL weather environments using starting-quarterback rows with pregame wind, temperature… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/nfl-weather-quarterback-passing-research-sample.nfl-boxscores24679_NFL_WR_Dataset_2025
NFL Wide Receiver Performance Dataset (2025)
Dataset Description
This dataset contains comprehensive wide receiver performance statistics derived from NFL play-by-play data for the 2025. It includes game-level metrics, situational targeting patterns, defensive adjustments, and advanced efficiency calculations.
Dataset Summary
Season: 2025
Records: Player-game observations
Features: 100+ columns including:
Core statistics (targets, receptions, yards… See the full description on the dataset page: https://huggingface.co/datasets/SebastianAndreu/24679_NFL_WR_Dataset_2025.nfl-4th-downs-dataset
NFL 4th Down Decision Dataset (1999–2025)
Overview
This dataset contains NFL play-by-play data filtered to 4th down plays only from the 1999 to 2025 seasons.
It is designed for building machine learning models that predict coaching decisions on 4th down situations, such as whether a team will:
Go for it (run or pass)
Punt
Attempt a field goal
Task Definition
Objective
Predict the coaching decision on 4th down based on game context.… See the full description on the dataset page: https://huggingface.co/datasets/afzalmengal/nfl-4th-downs-dataset.24679_NFL_WR_Dataset_2024
NFL Wide Receiver Performance Dataset (2024)
Dataset Description
This dataset contains comprehensive wide receiver performance statistics derived from NFL play-by-play data for the 2024. It includes game-level metrics, situational targeting patterns, defensive adjustments, and advanced efficiency calculations.
Dataset Summary
Season: 2024
Records: ~4.31k player-game observations
Features: 100+ columns including:
Core statistics (targets, receptions, yards… See the full description on the dataset page: https://huggingface.co/datasets/SebastianAndreu/24679_NFL_WR_Dataset_2024.nfl-defense-motion-adjustment-coherence-risk-v0.1What this repo is for
Detect when motion creates defensive breakdown risk.
Focus
motion type
adjustment speed
communication clarity
gap integrity
assignment clarity
Why it matters
Explosive plays often start with motion confusion.
nfl-rest-advantage-travel-spot-research-sample
NFL Rest Advantage and Travel Spot Dataset for Spread Research
Question this dataset helps answer:
Which NFL teams historically cover, miss, or play over or under expectations in short-week, rest-advantage, and travel-heavy schedule spots?
This preview helps sports researchers compare NFL rest edges, travel spots, and closing-line context using one team-game row per completed game.
Use the public sample to check:
Which seasons, teams, and game types are covered
Which columns… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/nfl-rest-advantage-travel-spot-research-sample.nfl-qb-read-coverage-coherence-risk-v0.1What this repo is for
Detect when QB decision-making has lost coherence with coverage reality.
Focus
disguise vs recognition
primary read open vs decision
progression discipline
throw timing vs pressure
Why it matters
Turnovers and sacks often start as a read failure.
Disguise plus late timing is the warning.
nfl-play-normalization-2019-2022
NFL play normalization, 2019-2022
This dataset contains 188452 real raw nflverse play descriptions from 2019 through 2022. Each record pairs the raw description with a canonical JSON expected record for NFL play normalization.
License and attribution
The source nflverse releases are CC BY 4.0. This derived dataset retains source season, game ID, play ID, source URLs, and SHA-256 checksums in metadata/training-manifest.json. Attribute nflverse when using this… See the full description on the dataset page: https://huggingface.co/datasets/AdamRoch/nfl-play-normalization-2019-2022.nfl_datasetnfl-route-timing-coherence-risk-v0.1What this repo is for
Detect breakdown between QB timing and route execution.
Focus
drop depth vs route depth
spacing between receivers
coverage vs window duration
throw timing
Why it matters
Many incompletions start with timing drift.
Late routes plus late throw is the warning.
nfl-play-normalization-v2
NFL Play Normalization V2 Data-Efficiency Curve
This dataset contains four nested training sets with 3,125, 6,250, 12,500,
and 25,000 unchanged real nflverse play descriptions from the 2019 through
2022 seasons. The v2 selection targets laterals, repeated fumbles, accepted
penalties after turnovers, and descriptions with several yardage clauses.
The curve manifest pins every dataset and point-manifest checksum. The review
file explains the deterministic selection and the… See the full description on the dataset page: https://huggingface.co/datasets/AdamRoch/nfl-play-normalization-v2.