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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    IndexError
Message:      list index out of range
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1901, in _prepare_split_single
                  original_shard_lengths[original_shard_id] += len(table)
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
              IndexError: list index out of range
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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2026-02-11 11:17:35.105: axis_1,d,-0.105
2026-02-11 11:17:35.114: axis_1,d,-0.221
2026-02-11 11:17:35.118: axis_1,d,-0.331
2026-02-11 11:17:35.123: axis_1,d,-0.459
2026-02-11 11:17:35.123: axis_0,d,-0.103
2026-02-11 11:17:35.126: axis_1,d,-0.586
2026-02-11 11:17:35.129: axis_1,d,-0.714
2026-02-11 11:17:35.131: axis_1,d,-0.815
2026-02-11 11:17:35.134: axis_0,d,-0.216
2026-02-11 11:17:35.134: axis_1,d,-0.917
2026-02-11 11:17:35.214: axis_0,d,-0.113
2026-02-11 11:17:35.354: axis_0,d,-0.214
2026-02-11 11:17:35.383: axis_0,d,-0.316
2026-02-11 11:17:35.432: axis_0,d,-0.420
2026-02-11 11:17:35.489: axis_0,d,-0.522
2026-02-11 11:17:35.791: axis_2,d,-0.117
2026-02-11 11:17:35.797: axis_2,d,-0.220
2026-02-11 11:17:35.803: axis_2,d,-0.333
2026-02-11 11:17:35.808: axis_2,d,-0.445
2026-02-11 11:17:35.812: axis_2,d,-0.574
2026-02-11 11:17:35.817: axis_2,d,-0.682
2026-02-11 11:17:35.820: axis_2,d,-0.790
2026-02-11 11:17:35.824: axis_2,d,-0.893
2026-02-11 11:17:35.825: axis_3,d,0.106
2026-02-11 11:17:35.829: axis_2,d,-1.000
2026-02-11 11:17:35.835: axis_3,d,0.212
2026-02-11 11:17:36.011: axis_3,d,0.108
2026-02-11 11:17:36.013: axis_3,u,0.098
2026-02-11 11:17:36.031: axis_2,d,-0.897
2026-02-11 11:17:36.041: axis_2,d,-0.789
2026-02-11 11:17:36.050: axis_2,d,-0.671
2026-02-11 11:17:36.057: axis_2,d,-0.569
2026-02-11 11:17:36.065: axis_2,d,-0.466
2026-02-11 11:17:36.078: axis_2,d,-0.358
2026-02-11 11:17:36.091: axis_2,d,-0.250
2026-02-11 11:17:36.102: axis_2,d,-0.143
2026-02-11 11:17:36.107: axis_2,u,-0.091
2026-02-11 11:17:36.178: axis_0,d,-0.421
2026-02-11 11:17:36.247: axis_0,d,-0.320
2026-02-11 11:17:36.398: axis_0,d,-0.218
2026-02-11 11:17:37.268: axis_0,d,-0.117
2026-02-11 11:17:37.420: axis_0,u,-0.096
2026-02-11 11:17:37.803: axis_0,u,0.004
2026-02-11 11:17:37.840: axis_0,d,0.102
2026-02-11 11:17:37.889: axis_0,d,0.206
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2026-02-11 11:17:38.111: axis_0,u,0.099
2026-02-11 11:17:38.141: axis_0,u,-0.004
2026-02-11 11:17:38.173: axis_0,d,-0.100
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2026-02-11 11:17:38.368: axis_3,d,0.102
2026-02-11 11:17:38.370: axis_0,d,-0.100
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2026-02-11 11:17:38.422: axis_2,d,-0.992
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2026-02-11 11:17:38.507: axis_3,d,0.208
2026-02-11 11:17:38.510: axis_2,d,-0.884
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2026-02-11 11:17:38.525: axis_2,u,-0.077
2026-02-11 11:17:38.653: axis_0,u,0.099
2026-02-11 11:17:38.722: axis_0,u,-0.004
2026-02-11 11:17:39.315: axis_2,u,0.027
2026-02-11 11:17:39.323: axis_2,d,0.101
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2026-02-11 11:17:39.346: axis_0,d,-0.100
2026-02-11 11:17:39.348: axis_2,d,0.435
2026-02-11 11:17:39.352: axis_2,d,0.543
2026-02-11 11:17:39.357: axis_2,d,0.646
2026-02-11 11:17:39.363: axis_2,d,0.748
2026-02-11 11:17:39.368: axis_2,d,0.851
2026-02-11 11:17:39.374: axis_2,d,0.969
2026-02-11 11:17:39.388: axis_0,d,-0.202
2026-02-11 11:17:39.388: axis_3,u,0.094
2026-02-11 11:17:39.391: axis_3,d,0.103
2026-02-11 11:17:39.437: axis_0,d,-0.305
2026-02-11 11:17:39.494: axis_0,d,-0.406
2026-02-11 11:17:39.529: axis_3,d,0.203
2026-02-11 11:17:39.543: axis_2,d,0.849
2026-02-11 11:17:39.544: axis_2,d,0.707
2026-02-11 11:17:39.546: axis_2,d,0.512
2026-02-11 11:17:39.548: axis_2,d,0.292
End of preview.

World Model Gameplay Recording

Action-conditioned gameplay video dataset for world model training. Contains synchronized high-resolution gameplay recordings with frame-accurate input action logs (gamepad, keyboard, mouse) from multiple AAA game titles.

Games Included

# Game Session ID Duration Video Format Video Size Input Type
1 Game Session 1 fwa0NekU ~5 min MKV 582 MB Gamepad + Keyboard
2 The Legend of Zelda: Tears of the Kingdom g4qz1DLq ~15 min MP4 (1080p) 1.29 GB Gamepad (axis + buttons)
3 The Witcher 3: Wild Hunt g50N33nG ~13 min MP4 (1080p) 1.07 GB Keyboard + Mouse

Total: ~33 minutes of gameplay, ~2.94 GB of video

Dataset Structure

fwa0NekU/                              # Game Session 1
β”œβ”€β”€ raw_videos/
β”‚   └── 2026-02-11 11-17-33.mkv        # Screen recording (~582 MB)
└── raw_meta_data/
    └── 2026-02-11_11-17-33/
        β”œβ”€β”€ timeline.txt                 # Session start/stop
        β”œβ”€β”€ gamepad_axis_0.txt           # Analog stick (5103 events)
        β”œβ”€β”€ gamepad_button_0.txt         # Button press/release (2168 events)
        β”œβ”€β”€ key_0.txt                    # Keyboard (8 events)
        └── mouse_wheel_0.txt            # Mouse wheel

g4qz1DLq/                              # Zelda: Tears of the Kingdom
β”œβ”€β”€ raw_videos/
β”‚   └── 2026-03-10_23-16-30.mp4        # Gameplay recording (1.29 GB, 1080p)
└── raw_meta_data/
    └── 2026-03-10_23-16-30/
        β”œβ”€β”€ timeline.txt                 # Session start/stop
        β”œβ”€β”€ gamepad_axis_0.txt           # Analog stick (continuous)
        β”œβ”€β”€ gamepad_button_0.txt         # Button events
        β”œβ”€β”€ mouse_move_0.txt             # Mouse movement
        β”œβ”€β”€ mouse_pressed_0.txt          # Mouse clicks
        └── mouse_wheel_0.txt            # Mouse wheel

g50N33nG/                              # The Witcher 3: Wild Hunt
β”œβ”€β”€ raw_videos/
β”‚   └── 2026-03-11_10-31-46.mp4        # Gameplay recording (1.07 GB, 1080p)
└── raw_meta_data/
    └── 2026-03-11_10-31-46/
        β”œβ”€β”€ timeline.txt                 # Session start/stop
        β”œβ”€β”€ key_0.txt                    # Keyboard events
        β”œβ”€β”€ mouse_pressed_0.txt          # Mouse button events
        └── mouse_wheel_0.txt            # Mouse wheel events

Data Format

Video

  • Format: MKV / MP4
  • Resolution: Up to 1080p
  • Content: Full-screen gameplay recordings

Action Logs (plain text, one event per line)

timeline.txt β€” Session boundaries:

2026-03-10 23:16:30.389
2026-03-10 23:16:30.474: obs_recording_started
2026-03-10 23:31:32.958

gamepad_axis_0.txt β€” Analog stick positions:

2026-03-10 23:16:31.709: axis_1,d,-0.105    # Left stick Y-axis
2026-03-10 23:16:31.715: axis_0,d,0.103     # Left stick X-axis

Format: <timestamp>: <axis_id>,<direction>,<value>

gamepad_button_0.txt β€” Button presses:

2026-03-10 23:16:33.996: button_1,d          # Button pressed (d=down)
2026-03-10 23:16:34.511: button_1,u          # Button released (u=up)

Format: <timestamp>: <button_id>,<d|u>

key_0.txt β€” Keyboard events:

2026-03-11 10:31:50.017: w,KEY_DOWN          # W key pressed
2026-03-11 10:31:50.345: w,KEY_UP            # W key released

Format: <timestamp>: <key>,<KEY_DOWN|KEY_UP>

mouse_pressed_0.txt β€” Mouse button events:

2026-03-11 10:31:48.948: left,d              # Left button pressed
2026-03-11 10:31:49.061: left,u              # Left button released

All actions are timestamped to millisecond precision for frame-accurate alignment with the video stream.

Use Cases

  • World Model Pre-training: Learn environment dynamics from video + action pairs
  • Action-Conditioned Video Prediction: Predict next frames given current frame + action
  • Game Environment Simulation: Train neural game engines
  • Game AI / Agent Training: Offline RL and imitation learning from human gameplay
  • Video Understanding: Temporal reasoning over complex 3D game environments

Collection Method

  • Gameplay recorded using OBS Studio at up to 1080p
  • Input actions logged simultaneously with millisecond-precision timestamps via custom recording software
  • All streams temporally synchronized to the same system clock
  • Real human gameplay (not scripted or automated)

Production Data Service

This is a demo dataset. We offer large-scale game video collection services:

  • Any game title β€” PC, console (via capture card), mobile
  • Hundreds of hours of synchronized gameplay + action data
  • Custom annotation layers: game state extraction, object detection, event segmentation
  • Multiple players for behavioral diversity
  • Monthly capacity: 100,000+ hours

Contact

Citation

@dataset{obaydata2026worldmodel,
  title={World Model Gameplay Recording},
  author={OBayData Team},
  year={2026},
  url={https://huggingface.co/datasets/obaydata/world-model-gameplay-recording},
  publisher={Hugging Face}
}

License

CC BY-NC 4.0

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