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README.md

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+---
+license: mit
+task_categories:
+  - robotics
+  - image-to-text
+tags:
+  - VLA
+  - gaming
+  - counter-strike
+  - behavioral-cloning
+  - imitation-learning
+size_categories:
+  - 1M<n<10M
+---
+
+# CS:GO VLA Stage 1 Dataset (16Hz)
+
+Vision-Language-Action dataset for Counter-Strike: Global Offensive, converted from the [TeaPearce CS:GO dataset](https://huggingface.co/datasets/TeaPearce/CounterStrike_Deathmatch).
+
+## Overview
+
+- **Frame rate:** 16Hz (native, 1 action per frame)
+- **Total samples:** ~5.5M frames
+- **Split:** train (~5M) / test (~500K) following [Diamond](https://github.com/eloialonso/diamond) split
+- **Map:** Dust2 deathmatch
+
+## Action Format
+
+```
+<|action_start|> mouse_x mouse_y [keys] <|action_end|>
+```
+
+**Examples:**
+```
+<|action_start|> 0 0 <|action_end|>                    # idle
+<|action_start|> 5 0 W <|action_end|>                  # walking forward
+<|action_start|> -200 50 W A L <|action_end|>          # strafing + shooting
+```
+
+## Schema
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `id` | string | Unique sample ID |
+| `episode_id` | string | Source HDF5 file |
+| `frame_idx` | int32 | Frame number (0-999) |
+| `action` | string | Text-formatted action |
+| `kill_flag` | int32 | 1 if player got a kill |
+| `death_flag` | int32 | 1 if player died |
+| `split` | string | "train" or "test" |
+| `image_bytes` | bytes | JPEG screenshot |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load full dataset
+ds = load_dataset("TESS-Computer/csgo-vla-stage1-16hz")
+
+# Filter by split
+train_ds = ds.filter(lambda x: x['split'] == 'train')
+test_ds = ds.filter(lambda x: x['split'] == 'test')
+```
+
+## Related
+
+- [5Hz chunked variant](https://huggingface.co/datasets/TESS-Computer/csgo-vla-stage1-5hz) - 3 actions per sample
+- [Diamond World Model](https://github.com/eloialonso/diamond) - For evaluation
+- [Original Dataset](https://huggingface.co/datasets/TeaPearce/CounterStrike_Deathmatch)