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README.md

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----
-license: mit
----
+---
+task_categories:
+- image-classification
+
+---
+# Dataset for project: csgo-weapon-classification
+
+## Dataset Description
+
+This dataset has for project csgo-weapon-classification was collected with the help of a bulk google image downloader.
+
+### Languages
+
+The BCP-47 code for the dataset's language is unk.
+
+## Dataset Structure
+
+### Data Instances
+
+A sample from this dataset looks as follows:
+
+```json
+[
+  {
+    "image": "<1768x718 RGB PIL image>",
+    "target": 0
+  },
+  {
+    "image": "<716x375 RGBA PIL image>",
+    "target": 0
+  }
+]
+```
+
+### Dataset Fields
+
+The dataset has the following fields (also called "features"):
+
+```json
+{
+  "image": "Image(decode=True, id=None)",
+  "target": "ClassLabel(names=['AK-47', 'AWP', 'Famas', 'Galil-AR', 'Glock', 'M4A1', 'M4A4', 'P-90', 'SG-553', 'UMP', 'USP'], id=None)"
+}
+```
+
+### Dataset Splits
+
+This dataset is split into a train and validation split. The split sizes are as follow:
+
+| Split name   | Num samples         |
+| ------------ | ------------------- |
+| train        | 1100 |
+| valid        | 275 |