Datasets:
File size: 3,374 Bytes
94b567f ea93d0d 98f3022 94b567f ea93d0d 98f3022 ea93d0d 98f3022 ea93d0d 98f3022 ea93d0d 98f3022 ea93d0d 98f3022 ea93d0d 98f3022 ea93d0d 98f3022 ea93d0d 98f3022 e7e2944 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
---
license: mit
task_categories:
- video-classification
size_categories:
- 1M<n<10M
tags:
- baseball
- sports
- video-classification
- computer-vision
---
# Dataset Card for Dataset Name
<!-- Provide a quick summary of the dataset. -->
2.6 million clips of balls and called strikes from MLB games from the 2016 season through the 2023 season.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
The dataset consists of all listed balls and called strikes from Baseball Savant's [Statcast Search](https://baseballsavant.mlb.com/statcast_search) from 2016, when their video archives began, through the 2023 season.
This dataset includes the date, type (eg. FF, fourseam fastball), mpt, spin rate, pitcher, batter, zone (1-14, corresponding to strike zone locations), count, inning, pitch result, and link to the video of the pitch.
- **Curated by:** Henry Freed
- **License:** MIT
## Uses
<!-- Address questions around how the dataset is intended to be used. -->
The original dataset, [Picklebot-50K](https://huggingface.co/datasets/hbfreed/Picklebot-50K), was collected to call balls and strikes using a neural network, and is only labeled with ball or strike.
With the additional metadata, one can imagine much more interesting classification and granular tasks like classifying pitch types.
## Dataset Structure
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
The dataset is three JSON files, split into train (80%), val (10%), and test (10%) files. They are structured as follows:
{
"date": "2017-05-06",
"pitch": "CU",
"mph": "73.6",
"spin_rate": "1997",
"pitcher": "Garza, Matt(R)",
"batter": "Jaso, John(L)",
"zone": "8",
"count": "0-1",
"inning": "Bot 5",
"pitch_result": "Called Strike",
"video_link": "https://baseballsavant.mlb.com/sporty-videos?playId=e790b6cf-7ac4-45b8-8cd3-9cef03d759cb"
}.
## Dataset Creation
### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
The data were scraped from Baseball Savant's [Statcast Search](https://baseballsavant.mlb.com/statcast_search).
#### Who are the source data producers?
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
[Baseball Savant](https://baseballsavant.mlb.com) and MLB/the broadcasters (whoever it is) originally created the videos.
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
First, as with Picklebot-50K, only balls and called strikes were connected. Additionally, this dataset is quite unbalanced: about two-thirds of the pitches are balls, and almost half of them are fourseam fastballs (see the plots below).
One should take care dealing with these imbalances.
## Plots
![Percentages of Pitch Results in Picklebot-2M.](plots/pitch_results.png)
![Distribution of Pitch Types in Picklebot-2M](plots/pitch_types.png)
![Distribution of Pitch Zones in Picklebot-2M](plots/pitch_zones.png)
|