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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 2 new columns ({'Factual Consistency', 'Dynamic Degree'}) and 1 missing columns ({'Motion Quality'}).

This happened while the csv dataset builder was generating data using

hf://datasets/hexuan21/VideoScore-Leaderboard/leaderboard_res.csv (at revision dfc8a570d9c1b548c2bec5603a4ec04050fb39fa)

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 2013, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Model: string
              Visual Quality: double
              Temporal Consistency: double
              Dynamic Degree: double
              Text-to-Video Alignment: double
              Factual Consistency: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1055
              to
              {'Model': Value(dtype='string', id=None), 'Visual Quality': Value(dtype='float64', id=None), 'Temporal Consistency': Value(dtype='float64', id=None), 'Motion Quality': Value(dtype='float64', id=None), 'Text-to-Video Alignment': Value(dtype='float64', id=None)}
              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 1396, 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 1045, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2015, 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 2 new columns ({'Factual Consistency', 'Dynamic Degree'}) and 1 missing columns ({'Motion Quality'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/hexuan21/VideoScore-Leaderboard/leaderboard_res.csv (at revision dfc8a570d9c1b548c2bec5603a4ec04050fb39fa)
              
              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)

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Model
string
Visual Quality
float64
Temporal Consistency
float64
Motion Quality
float64
Text-to-Video Alignment
float64
[VideoCrafter-2](https://github.com/AILab-CVC/VideoCrafter)
58.44
59.18
54.39
61.23
[VideoCrafter-2](https://github.com/AILab-CVC/VideoCrafter)(best-of-5)
59.7
60.79
54.65
60.77
[ModelScope](https://huggingface.co/ali-vilab/modelscope-damo-text-to-video-synthesis)
44.8
56.7
53.2
55.09
[ModelScope](https://huggingface.co/ali-vilab/modelscope-damo-text-to-video-synthesis)(best-of-5)
45.01
60.34
54.42
58.17
[LaVie-base](https://github.com/Vchitect/LaVie)
57.79
54.21
52.51
66.99
[LaVie-base](https://github.com/Vchitect/LaVie)(best-of-5)
58.52
57.7
53.53
69.86
[AnimateDiff](https://github.com/guoyww/animatediff/)
60.79
60.69
54.35
72.79
[AnimateDiff](https://github.com/guoyww/animatediff/)(best-of-5)
60.89
60.94
54.83
70.83
[LVDM](https://github.com/YingqingHe/LVDM)
44.45
40.44
53.68
44.61
[LVDM](https://github.com/YingqingHe/LVDM)(best-of-5)
44.64
43.09
53.26
43.16
[HotShot-XL](https://github.com/hotshotco/Hotshot-XL)
57.56
58.85
51.52
46.83
[HotShot-XL](https://github.com/hotshotco/Hotshot-XL)(best-of-5)
60.39
60.94
54.05
69.52
[ZeroScope_576w](https://huggingface.co/cerspense/zeroscope_v2_576w)
43.36
55.98
54.55
50.39
[ZeroScope_576w](https://huggingface.co/cerspense/zeroscope_v2_576w)(best-of-5)
43.82
58.74
54.68
59.12
[VideoCrafter-1-512](https://github.com/AILab-CVC/VideoCrafter)
52.4
56.48
54.01
54.32
[VideoCrafter-1-512](https://github.com/AILab-CVC/VideoCrafter)(best-of-5)
53.68
59.81
54.88
60.76
[PikaLab](https://pika.art/)
67.21
67.98
null
63.79
[VideoCrafter-2](https://github.com/AILab-CVC/VideoCrafter)
66.72
68.81
null
65.77
[ModelScope](https://huggingface.co/ali-vilab/modelscope-damo-text-to-video-synthesis)
47.41
49.76
null
54
[LaVie-base](https://github.com/Vchitect/LaVie)
63.11
59.33
null
62.4
[AnimateDiff](https://github.com/guoyww/animatediff/)
64.83
41.89
null
65.76
[LVDM](https://github.com/YingqingHe/LVDM)
33.15
44.01
null
58.85
[HotShot-XL](https://github.com/hotshotco/Hotshot-XL)
58.55
59.63
null
63.93
[ZeroScope_576w](https://huggingface.co/cerspense/zeroscope_v2_576w)
31.35
39.65
null
49.4
[MagicTime](https://github.com/PKU-YuanGroup/MagicTime)
65.05
63.2
null
61.99
[VideoCrafter-1-512](https://github.com/AILab-CVC/VideoCrafter)
60.94
60.12
null
60.44
[Latte](https://github.com/Vchitect/Latte)
63.34
59.23
null
62.56
[OpenSora-v1.2](https://github.com/hpcaitech/Open-Sora)
70.36
67.17
null
68.17
[Video-LaVIT](https://github.com/jy0205/LaVIT)
67.57
59.68
null
66.7
[OpenSora-v1.1](https://github.com/hpcaitech/Open-Sora)
61.5
56.82
null
64.72
[OpenSora-v1.0](https://github.com/hpcaitech/Open-Sora)
62.49
58.75
null
64.3
[Gen-2](https://runwayml.com/research/gen-2?utm_source=creatorstoolbox.io)
65.14
67.37
null
65.39
[Kling](https://klingai.com/text-to-video)
84.63
82.49
null
74.29
[Morph Studio](https://app.morphstudio.com)
66.79
70.98
null
68.55
[VideoCrafter-2](https://github.com/AILab-CVC/VideoCrafter)
57.07
99.39
null
36.43
[ModelScope](https://huggingface.co/ali-vilab/modelscope-damo-text-to-video-synthesis)
6.51
99.02
null
29.85
[LaVie-base](https://github.com/Vchitect/LaVie)
49.13
98.68
null
30.32
[AnimateDiff](https://github.com/guoyww/animatediff/)
48.96
97.94
null
30.67
[LVDM](https://github.com/YingqingHe/LVDM)
6.56
96.76
null
35.92
[HotShot-XL](https://github.com/hotshotco/Hotshot-XL)
53.21
99.61
null
29.63
[ZeroScope_576w](https://huggingface.co/cerspense/zeroscope_v2_576w)
2.68
98.79
null
31.05
[MagicTime](https://github.com/PKU-YuanGroup/MagicTime)
62.71
99.82
null
30.12
[VideoCrafter-1-512](https://github.com/AILab-CVC/VideoCrafter)
26.18
98.59
null
34.82
[Latte](https://github.com/Vchitect/Latte)
55.81
99.09
null
30.27
[Video-LaVIT](https://github.com/jy0205/LaVIT)
63.49
99.65
null
30.59
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