Create README.md

README.md

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+---
+language:
+- en
+license:
+- cc-by-4.0
+multilinguality:
+- monolingual
+pretty_name: Gameplay Images
+size_categories:
+- 1K<n<10K
+task_categories:
+- image-classification
+---
+# Gameplay Images
+## Dataset Description
+- **Homepage:** [kaggle](https://www.kaggle.com/datasets/aditmagotra/gameplay-images)
+- **Download Size** 2.50 GiB
+- **Generated Size** 1.68 GiB
+- **Total Size** 4.19 GiB
+
+A dataset from [kaggle](https://www.kaggle.com/datasets/aditmagotra/gameplay-images).
+
+This is a dataset of 10 very famous video games in the world.
+
+These include
+
+- Among Us
+- Apex Legends
+- Fortnite
+- Forza Horizon
+- Free Fire
+- Genshin Impact
+- God of War
+- Minecraft
+- Roblox
+- Terraria
+
+There are 1000 images per class and all are sized `640 x 360`. They are in the `.png` format.
+
+This Dataset was made by saving frames every few seconds from famous gameplay videos on Youtube.
+
+※ This dataset was uploaded in January 2022. Game content updated after that will not be included.
+
+### License
+
+CC-BY-4.0
+
+## Dataset Structure
+
+### Data Instance
+
+```python
+>>> from datasets import load_dataset
+
+>>> dataset = load_dataset("Bingsu/Gameplay_Images")
+DatasetDict({
+    train: Dataset({
+        features: ['image', 'label'],
+        num_rows: 10000
+    })
+})
+```
+### Data Size
+
+download: 2.50 GiB<br>
+generated: 1.68 GiB<br>
+total: 4.19 GiB
+
+### Data Fields
+
+- image: `Image`
+    - A `PIL.Image.Image object` containing the image. size=640x360
+    - Note that when accessing the image column: `dataset[0]["image"]` the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. `dataset[0]["image"]` should always be preferred over `dataset["image"][0]`.
+- label: an int classification label.
+
+Class Label Mappings:
+
+```json
+{
+    "Among Us": 0,
+    "Apex Legends": 1,
+    "Fortnite": 2,
+    "Forza Horizon": 3,
+    "Free Fire": 4,
+    "Genshin Impact": 5,
+    "God of War": 6,
+    "Minecraft": 7,
+    "Roblox": 8,
+    "Terraria": 9
+}
+```
+
+```python
+>>> dataset["train"][0]
+{'image': <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=640x360>,
+ 'label': 0}
+```
+
+
+### Data Splits
+
+|            |   train  |
+| ---------- | -------- |
+| # of data  |    10000 |
+
+### Note
+
+#### train_test_split
+
+```python
+>>> ds_new = dataset["train"].train_test_split(0.2, seed=42, stratify_by_column="label")
+>>> ds_new
+DatasetDict({
+    train: Dataset({
+        features: ['image', 'label'],
+        num_rows: 8000
+    })
+    test: Dataset({
+        features: ['image', 'label'],
+        num_rows: 2000
+    })
+})
+```