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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 16 new columns ({'Evaluated by', 'Object Control', 'Motion Magnitude', 'Style Consistency', 'Camera Control', 'Motion Accuracy', 'Content Alignment', 'Date', 'Photometric Consistency', '3D Consistency', 'Subjective Quality', 'Motion Smoothness', 'WorldScore-Static', 'WorldScore-Dynamic', 'Accessibility', 'Sampled by'}) and 7 missing columns ({'Version', 'FPS', 'Video Length (s)', 'Frame Number', 'Contact Email', 'Resolution', 'Link'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Howieeeee/worldscore_leaderboard_submission/results.csv (at revision 2a5a74b188a308357844b468c2ac6e68e2adaf59)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Model Type: string
              Model Name: string
              Ability: string
              Sampled by: string
              Evaluated by: string
              Accessibility: string
              Date: string
              WorldScore-Static: double
              WorldScore-Dynamic: double
              Camera Control: double
              Object Control: double
              Content Alignment: double
              3D Consistency: double
              Photometric Consistency: double
              Style Consistency: double
              Subjective Quality: double
              Motion Accuracy: double
              Motion Magnitude: double
              Motion Smoothness: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2704
              to
              {'Model Type': Value('string'), 'Model Name': Value('string'), 'Ability': Value('string'), 'Version': Value('string'), 'Resolution': Value('string'), 'Video Length (s)': Value('float64'), 'FPS': Value('int64'), 'Frame Number': Value('int64'), 'Link': Value('string'), 'Contact Email': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, 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 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 16 new columns ({'Evaluated by', 'Object Control', 'Motion Magnitude', 'Style Consistency', 'Camera Control', 'Motion Accuracy', 'Content Alignment', 'Date', 'Photometric Consistency', '3D Consistency', 'Subjective Quality', 'Motion Smoothness', 'WorldScore-Static', 'WorldScore-Dynamic', 'Accessibility', 'Sampled by'}) and 7 missing columns ({'Version', 'FPS', 'Video Length (s)', 'Frame Number', 'Contact Email', 'Resolution', 'Link'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Howieeeee/worldscore_leaderboard_submission/results.csv (at revision 2a5a74b188a308357844b468c2ac6e68e2adaf59)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Model Type
string
Model Name
string
Ability
string
Version
string
Resolution
string
Video Length (s)
float64
FPS
int64
Frame Number
int64
Link
string
Contact Email
string
Video
Gen-3
I2V
2024.07.01
1280x768
10
24
253
https://runwayml.com/
haoyid@stanford.edu
Video
Hailuo
I2V
2024.08.31
1072x720
5.6
25
141
https://hailuoai.video/
haoyid@stanford.edu
Video
DynamiCrafter
I2V
2023.10.18
1024x576
5
10
50
https://doubiiu.github.io/projects/DynamiCrafter/
haoyid@stanford.edu
Video
VideoCrafter1-T2V
T2V
2023.10.30
1024x576
2
8
16
https://ailab-cvc.github.io/videocrafter1/
haoyid@stanford.edu
Video
VideoCrafter1-I2V
I2V
2023.10.30
512x320
2
8
16
https://ailab-cvc.github.io/videocrafter1/
haoyid@stanford.edu
Video
VideoCrafter2
T2V
2024.01.17
512x320
2
8
16
https://ailab-cvc.github.io/videocrafter2/
haoyid@stanford.edu
Video
T2V-Turbo
T2V
2024.05.29
512x320
3
16
48
https://t2v-turbo.github.io/
haoyid@stanford.edu
Video
EasyAnimate
I2V
2024.05.29
1344x768
6
8
49
https://easyanimate.github.io/
haoyid@stanford.edu
Video
CogvideoX-T2V
T2V
2024.08.12
720x480
6
8
49
https://github.com/THUDM/CogVideo
haoyid@stanford.edu
Video
CogvideoX-I2V
I2V
2024.08.12
720x480
6
8
49
https://github.com/THUDM/CogVideo
haoyid@stanford.edu
Video
Allegro
I2V
2024.10.20
1280x720
6
15
88
https://github.com/rhymes-ai/Allegro
haoyid@stanford.edu
Video
Vchitect-2.0
T2V
2025.01.14
768x432
5
8
40
https://vchitect.intern-ai.org.cn/
haoyid@stanford.edu
3D
SceneScape
T2V
2023.02.02
512x512
5
10
50
https://scenescape.github.io/
haoyid@stanford.edu
3D
Text2room
I2V
2023.03.21
512x512
5
10
50
https://lukashoel.github.io/text-to-room/
haoyid@stanford.edu
3D
LucidDreamer
I2V
2023.11.22
512x512
5
10
50
https://luciddreamer-cvlab.github.io/
haoyid@stanford.edu
3D
WonderJourney
I2V
2023.12.06
512x512
5
10
50
https://kovenyu.com/wonderjourney/
haoyid@stanford.edu
3D
InvisibleStitch
I2V
2024.04.30
512x512
5
10
50
https://research.paulengstler.com/invisible-stitch/
haoyid@stanford.edu
3D
WonderWorld
I2V
2024.06.13
512x512
5
10
50
https://kovenyu.com/wonderworld/
haoyid@stanford.edu
4D
4D-fy
T2V
2023.11.29
256x256
4
30
120
https://sherwinbahmani.github.io/4dfy/
haoyid@stanford.edu
Video
[Gen-3](https://runwayml.com/)
I2V
null
null
null
null
null
null
null
Video
[Hailuo](https://hailuoai.video/)
I2V
null
null
null
null
null
null
null
Video
[DynamiCrafter](https://doubiiu.github.io/projects/DynamiCrafter/)
I2V
null
null
null
null
null
null
null
Video
[VideoCrafter1-T2V](https://ailab-cvc.github.io/videocrafter1/)
T2V
null
null
null
null
null
null
null
Video
[VideoCrafter1-I2V](https://ailab-cvc.github.io/videocrafter1/)
I2V
null
null
null
null
null
null
null
Video
[VideoCrafter2](https://ailab-cvc.github.io/videocrafter2/)
T2V
null
null
null
null
null
null
null
Video
[T2V-Turbo](https://t2v-turbo.github.io/)
T2V
null
null
null
null
null
null
null
Video
[EasyAnimate](https://easyanimate.github.io/)
I2V
null
null
null
null
null
null
null
Video
[CogVideoX-T2V](https://github.com/THUDM/CogVideo)
T2V
null
null
null
null
null
null
null
Video
[CogVideoX-I2V](https://github.com/THUDM/CogVideo)
I2V
null
null
null
null
null
null
null
Video
[Allegro](https://github.com/rhymes-ai/Allegro)
I2V
null
null
null
null
null
null
null
Video
[Vchitect-2.0](https://vchitect.intern-ai.org.cn/)
T2V
null
null
null
null
null
null
null
Video
[LTX-Video](https://www.lightricks.com/)
I2V
null
null
null
null
null
null
null
Video
[Wan2.1](https://wan.video/)
I2V
null
null
null
null
null
null
null
3D
[SceneScape](https://scenescape.github.io/)
T2V
null
null
null
null
null
null
null
3D
[Text2Room](https://lukashoel.github.io/text-to-room/)
I2V
null
null
null
null
null
null
null
3D
[LucidDreamer](https://luciddreamer-cvlab.github.io/)
I2V
null
null
null
null
null
null
null
3D
[WonderJourney](https://kovenyu.com/wonderjourney/)
I2V
null
null
null
null
null
null
null
3D
[InvisibleStitch](https://research.paulengstler.com/invisible-stitch/)
I2V
null
null
null
null
null
null
null
3D
[WonderWorld](https://kovenyu.com/wonderworld/)
I2V
null
null
null
null
null
null
null
3D
[Voyager](https://3d-models.hunyuan.tencent.com/world/)
I2V
null
null
null
null
null
null
null
4D
[4D-fy](https://sherwinbahmani.github.io/4dfy/)
T2V
null
null
null
null
null
null
null

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