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id
string
episode_id
string
frame_idx
int32
action
string
kill_flag
int32
death_flag
int32
split
string
image_bytes
unknown
hdf5_dm_july2021_1200_0
hdf5_dm_july2021_1200
0
<|action_start|> 0 0 <|action_end|>
0
0
test
[ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 5, 3, 4, 4, 4, 3, 5, 4, 4, 4, 5, 5, 5, 6, 7, 12, 8, 7, 7, 7, 7, 15, 11, 11, 9, 12, 17, 15, 18, 18, 17, 15, 17...
hdf5_dm_july2021_1200_1
hdf5_dm_july2021_1200
1
<|action_start|> -2 10 <|action_end|>
1
0
test
[ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 5, 3, 4, 4, 4, 3, 5, 4, 4, 4, 5, 5, 5, 6, 7, 12, 8, 7, 7, 7, 7, 15, 11, 11, 9, 12, 17, 15, 18, 18, 17, 15, 17...
hdf5_dm_july2021_1200_2
hdf5_dm_july2021_1200
2
<|action_start|> 4 10 <|action_end|>
0
0
test
[ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 5, 3, 4, 4, 4, 3, 5, 4, 4, 4, 5, 5, 5, 6, 7, 12, 8, 7, 7, 7, 7, 15, 11, 11, 9, 12, 17, 15, 18, 18, 17, 15, 17...
hdf5_dm_july2021_1200_3
hdf5_dm_july2021_1200
3
<|action_start|> 100 4 A S Shift <|action_end|>
0
0
test
[ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 5, 3, 4, 4, 4, 3, 5, 4, 4, 4, 5, 5, 5, 6, 7, 12, 8, 7, 7, 7, 7, 15, 11, 11, 9, 12, 17, 15, 18, 18, 17, 15, 17...
hdf5_dm_july2021_1200_4
hdf5_dm_july2021_1200
4
<|action_start|> 300 -2 A S <|action_end|>
0
0
test
[ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 5, 3, 4, 4, 4, 3, 5, 4, 4, 4, 5, 5, 5, 6, 7, 12, 8, 7, 7, 7, 7, 15, 11, 11, 9, 12, 17, 15, 18, 18, 17, 15, 17...
hdf5_dm_july2021_1200_5
hdf5_dm_july2021_1200
5
<|action_start|> 60 -2 A S <|action_end|>
0
0
test
[ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 5, 3, 4, 4, 4, 3, 5, 4, 4, 4, 5, 5, 5, 6, 7, 12, 8, 7, 7, 7, 7, 15, 11, 11, 9, 12, 17, 15, 18, 18, 17, 15, 17...
hdf5_dm_july2021_1200_6
hdf5_dm_july2021_1200
6
<|action_start|> 0 0 A S <|action_end|>
0
0
test
[ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 5, 3, 4, 4, 4, 3, 5, 4, 4, 4, 5, 5, 5, 6, 7, 12, 8, 7, 7, 7, 7, 15, 11, 11, 9, 12, 17, 15, 18, 18, 17, 15, 17...
hdf5_dm_july2021_1200_7
hdf5_dm_july2021_1200
7
<|action_start|> 0 0 A S <|action_end|>
0
0
test
[ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 5, 3, 4, 4, 4, 3, 5, 4, 4, 4, 5, 5, 5, 6, 7, 12, 8, 7, 7, 7, 7, 15, 11, 11, 9, 12, 17, 15, 18, 18, 17, 15, 17...
hdf5_dm_july2021_1200_8
hdf5_dm_july2021_1200
8
<|action_start|> 200 -10 A S <|action_end|>
0
0
test
[ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 5, 3, 4, 4, 4, 3, 5, 4, 4, 4, 5, 5, 5, 6, 7, 12, 8, 7, 7, 7, 7, 15, 11, 11, 9, 12, 17, 15, 18, 18, 17, 15, 17...
hdf5_dm_july2021_1200_9
hdf5_dm_july2021_1200
9
<|action_start|> 500 20 A S <|action_end|>
0
0
test
[ 255, 216, 255, 224, 0, 16, 74, 70, 73, 70, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 255, 219, 0, 67, 0, 5, 3, 4, 4, 4, 3, 5, 4, 4, 4, 5, 5, 5, 6, 7, 12, 8, 7, 7, 7, 7, 15, 11, 11, 9, 12, 17, 15, 18, 18, 17, 15, 17...
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CS:GO VLA Stage 1 Dataset (16Hz)

Vision-Language-Action dataset for Counter-Strike: Global Offensive, converted from the TeaPearce CS:GO dataset.

Overview

  • Frame rate: 16Hz (native, 1 action per frame)
  • Total samples: ~5.5M frames
  • Split: train (5M) / test (500K) following 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

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')

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