mlb
Datasets
All datasets matching “mlb”mlb-matchup-artifactsmlb-stats
MLB Shared Stats
Season-level MLB tables, refreshed weekly by
yasumorishima/mlb-data-pipeline
and published here as Parquet. One file per table at the repository root.
Read the freshness column before using a table. Not everything here is
current, and the rows in a stale table look exactly like the rows in a fresh
one.
Tables
File
Source
Seasons
Refreshed
sc_batter_exitvelo.parquet
Baseball Savant
2015–
weekly
sc_pitcher_exitvelo.parquet
Baseball… See the full description on the dataset page: https://huggingface.co/datasets/yasumorishima/mlb-stats.cosmopedia
MLBricks maintained mirror \n> Upstream: HuggingFaceTB/cosmopedia @ 0ae6ec63f91742bd2d1eaef4f02232c55d719385 \n> Upstream license: Apache-2.0 \n> MLBricks maintains this repository for stable Studio presets and does not claim ownership of the source dataset.\n\n---
dataset_info:
config_name: auto_math_text
features:
name: prompt
dtype: string
name: text_token_length
dtype: int64
name: text
dtype: string
name: seed_data
dtype: string
name: format
dtype: string
name: audience
dtype: string… See the full description on the dataset page: https://huggingface.co/datasets/MLBricks/cosmopedia.mlb_datamlb-player-props
SmartStake MLB Player Prop Odds and Results (2026)
Minute-by-minute MLB player prop odds from ~75 sportsbooks and exchanges over the
2026 season, with the graded outcome of each prop attached. Every row is one
book's price for one selection at one minute. This is the raw material behind
the study "Sharpest Sportsbooks for MLB Player Props".
Coverage
Odds: late March 2026 through early July 2026.
Graded outcomes: March through June (games that had settled at… See the full description on the dataset page: https://huggingface.co/datasets/SmartStake/mlb-player-props.ML-Based-Malicious-Package-Detection
DySec
A Machine Learning-Based Dynamic Analysis For Detecting Malicious Packages In PyPI Ecosystem
Overview
Malicious python packages make software supply chains vulnerable by exploiting trust in open-source repositories like PyPI.Lack of real-time behavioral monitoring renders metadata inspection and static code analysis inadequate against advanced attack strategies such as typosquatting, covert remote access activation, and dynamic payload generation.
To… See the full description on the dataset page: https://huggingface.co/datasets/Hugnd-UIT/ML-Based-Malicious-Package-Detection.