Dataset Preview
Full Screen Viewer
Full Screen
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowTypeError
Message: ("Expected bytes, got a 'list' object", 'Conversion failed for column answers with type object')
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 130, in _generate_tables
pa_table = paj.read_json(
File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to array in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1997, in _prepare_split_single
for _, table in generator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
pa_table = pa.Table.from_pandas(df, preserve_index=False)
File "pyarrow/table.pxi", line 3874, in pyarrow.lib.Table.from_pandas
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 624, in dataframe_to_arrays
arrays[i] = maybe_fut.result()
File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 439, in result
return self.__get_result()
File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/usr/local/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 598, in convert_column
raise e
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/pandas_compat.py", line 592, in convert_column
result = pa.array(col, type=type_, from_pandas=True, safe=safe)
File "pyarrow/array.pxi", line 339, in pyarrow.lib.array
File "pyarrow/array.pxi", line 85, in pyarrow.lib._ndarray_to_array
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: ("Expected bytes, got a 'list' object", 'Conversion failed for column answers with type object')
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 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 2040, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
video_name
string | question
string | answers
sequence | video_type
string | question_type
string | context
string | correct_choice
string |
|---|---|---|---|---|---|---|
2471.mp4 | How is the clarity of the first child that appears in the video? | [
"Average, with average clarity, some facial details are missing, but movements are smooth",
"Above average, with good clarity, facial details are relatively clear",
"Very good, clear frames, with rich facial details smooth movements",
"Very poor, with low clarity, facial details are missing, presence of frame drops, and heavy shadowing in movements"
] | Natural | what/how | Referring | A |
4528.mp4 | Who is the clearest person in the video? | [
"The man wearing a black shirt in the top right corner",
"The woman wearing a blue shirt in the bottom left corner",
"The man wearing a blue shirt in the top left corner",
"The man wearing a white shirt in the bottom right corner"
] | Natural | what/how | Referring | D |
4339.mp4 | How is the visual quality of the opening scene with the waves? | [
"Good, although there is slight blur, the overall quality is decent",
"Excellent, the details of the scene are complete with almost no visible loss of clarity",
"Poor, as the clarity is quite low, the scene with the waves appears blocky, and the overall quality is not very good",
"Very poor, the scene experiences severe shaking and significant blur, affecting basic recognition"
] | Natural | what/how | Referring | C |
3002321.mp4_cat_6000993.mp4.mp4 | What are the major quality issues that both videos share? | [
"Unnatural textures and patterns, along with weird lighting conditions that keep changing.",
"",
"",
""
] | AIGC | open_ended | Joint_fine-grained | None |
07991_07.mp4 | How is the text clarity in the video? | [
"Very good",
"Good",
"Poor",
"Average"
] | AIGC | what/how | Referring | C |
4473.mp4 | What is the main composition format of this video? | [
"The video is character-centered composition with the woman in the middle",
"",
"",
""
] | Natural | open_ended | Global | None |
2003567.mp4 | What is the main style of this video? | [
"The video is animation Style with cartoon-like character and atmosphere.",
"",
"",
""
] | AIGC | open_ended | Referring | None |
3843.mp4 | Does this video have slight camera shake? | [
"Yes",
"No",
"",
""
] | Natural | yes-or-no | Global | A |
0266.mp4 | Does this video contain any intense scenes (camera shaking)? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Global | B |
7002532.mp4_cat_s000087.mp4.mp4 | Compared to the first video, is the camera movement in the second video more intense? | [
"No",
"Yes",
"",
""
] | AIGC | yes-or-no | Compare_fine-grained | B |
DOTA-004.mp4 | What is the most impactful quality issue in this game video? | [
"The clarity is too low. The game characters are with blurry details and hard to recognize.",
"",
"",
""
] | CG | open_ended | Global | None |
4000214.mp4 | How is the overall noise level of this video? | [
"Relatively serious",
"Average",
"Very serious",
"Good"
] | AIGC | what/how | Global | C |
1023.mp4 | In this video, does the video content present a process of changing from blurry to clear? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Referring | B |
0494.mp4 | Are the movements of the man in the blue shirt smooth? | [
"Yes",
"No",
"",
""
] | Natural | yes-or-no | Referring | A |
0062.mp4 | What issues led to the poor viewing experience of this video? | [
"The video is blurry and has significant shaking. The uneven lighting causes some areas to be overexposed while other areas are underexposed. Additionally, the color saturation is low.",
"",
"",
""
] | Natural | open_ended | Global | None |
DOTA-003.mp4 | Is the color of this game video relatively dull and is the clarity relatively low? | [
"No",
"Yes",
"",
""
] | CG | yes-or-no | Global | B |
0836.mp4 | Are the texture details of the cow's back clear in this video? | [
"Yes",
"No",
"",
""
] | Natural | yes-or-no | Referring | B |
2004103.mp4_cat_0006911.mp4.mp4 | Are both videos running smoothly? | [
"No",
"Yes",
"",
""
] | AIGC | yes-or-no | Joint_coarse-grained | A |
6003290.mp4 | How is the overall clarity of this video? | [
"Good",
"Excellent",
"Poor",
"Average"
] | AIGC | what/how | Global | C |
0202.mp4 | How is the clarity of the road in this video? | [
"Very poor",
"Quite good",
"Average",
"Fairly poor"
] | Natural | what/how | Referring | A |
8002171.mp4 | Is the facial feature proportion of the generated face in this video normal? | [
"Yes",
"No",
"",
""
] | AIGC | yes-or-no | Referring | B |
7002926.mp4_cat_s000598.mp4.mp4 | How does the lighting condition in the second video compare to the first one? | [
"Worse by a bit",
"Better",
"Almost the same",
"Much worse"
] | AIGC | what/how | Compare_coarse-grained | B |
4054.mp4 | What feeling do the drawings in this video give? | [
"The drawings is simple but gives a feeling of childlike innocence.",
"",
"",
""
] | Natural | open_ended | Referring | None |
CSGO01.mp4 | What is the trend of the bitrate of this video? | [
"From low to high",
"",
"",
""
] | Natural | open_ended | Global | None |
4063.mp4 | How is the overall quality of the man in the video? | [
"undiscernible",
"discernible but still a little blurry",
"barely discernible",
"discernible and very clear"
] | Natural | what/how | Referring | B |
06688_05.mp4 | How clear is the texture of the fur on the cat's hindquarters in the video? | [
"Poor",
"Good",
"Average",
"Very bad"
] | AIGC | what/how | Referring | D |
1933.mp4 | Is the man's face clearly discernible in the video? | [
"Yes",
"No",
"",
""
] | Natural | yes-or-no | Referring | B |
0368.mp4 | Is there any obvious noise in this video? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Global | B |
0800.mp4_cat_4495.mp4.mp4 | Is the exposure in the second video better than in the first one? | [
"Yes",
"No",
"",
""
] | Natural | yes-or-no | Compare_coarse-grained | A |
3597.mp4_cat_1556.mp4.mp4 | Are both videos extremely blurry? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Joint_coarse-grained | A |
0920.mp4_cat_0852.mp4.mp4 | What are the reasons for the poor clarity of both videos? | [
"The video bitrate is relatively low with apparent compression distortions and film devices might be poor.",
"",
"",
""
] | Natural | open_ended | Joint_fine-grained | None |
1455.mp4 | Does this video have severe camera shake? | [
"Yes",
"No",
"",
""
] | Natural | yes-or-no | Global | A |
0021.mp4 | What is the most obvious distortion in this video? | [
"Noise is the most obvious distortion, which significantly affects the viewing experience.",
"",
"",
""
] | Natural | open_ended | Global | None |
0103.mp4 | How clear are the details of the crowd in the video? | [
"Poor",
"Average",
"Good",
"Very poor"
] | Natural | what/how | Referring | D |
0155.mp4_cat_1848.mp4.mp4 | How is the noise level in both videos? | [
"Both have very little noise",
"Both have obvious noise",
"Neither have noise"
] | Natural | what/how | Joint_coarse-grained | B |
08035_02.mp4_cat_04138_09.mp4.mp4 | Is the clarity of the first video higher than that of the second video? | [
"No",
"Yes",
"",
""
] | AIGC | yes-or-no | Compare_fine-grained | B |
0054.mp4 | Is the shaking in this video relatively slight? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Global | A |
0058.mp4_cat_0631.mp4.mp4 | Is the color richness of the first video worse than that of the second? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Compare_fine-grained | A |
1611.mp4 | Is the lighting in each part of the video uniform? | [
"Yes, the lighting intensity in each part of the video is uniform.",
"No, due to uneven distribution of light sources in the video, certain areas near the light sources are too bright, while the lighting intensity on people's faces in the center of the video is too weak.",
"",
""
] | Natural | yes-or-no | Global | B |
ApexLegends-007.mp4 | How is the depth of field in the scene of this game video? | [
"Relatively deep",
"Not deep",
"Average",
"Very shallow"
] | CG | what/how | Referring | A |
7001221.mp4_cat_7001955.mp4.mp4 | How authentic are the two videos? | [
"Both are relatively unnatural",
"Both are relatively authentic",
"The second one is more authentic",
"The first one is more authentic"
] | AIGC | what/how | Compare_fine-grained | A |
1189.mp4 | Does the video playback experience severe stuttering, and are the athlete's movements unsmooth? | [
"Yes",
"No",
"",
""
] | Natural | yes-or-no | Global | A |
0376.mp4 | Is the character clarity in this video relatively low but the movements are smooth? | [
"No, the details of the characters faces are very blurry and the characters' movements are not very smmooth.",
"",
"",
""
] | Natural | open_ended | Referring | None |
0019.mp4 | How is the clarity of the characters in this video? | [
"Average",
"Below average",
"Good",
"Very poor"
] | Natural | what/how | Referring | D |
3585.mp4 | Does the fabric in this video exhibit good clarity and proper lighting? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Referring | B |
3129.mp4 | Are there any obvious quality distortions in this train? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Referring | B |
3759.mp4_cat_1954.mp4.mp4 | What are the differences in style between the two videos? | [
"The first video present a website for buying cartoon books, while the second video has a realistic style.",
"",
"",
""
] | Natural | open_ended | Compare_coarse-grained | None |
02973_07.mp4 | How is the overall clarity of this video? | [
"Average",
"Very good",
"Poor",
"Good"
] | AIGC | what/how | Global | C |
Fortnite-051.mp4 | How is the overall clarity of this game video? | [
"Relatively high, the details of the characters and objects are clear",
"",
"",
""
] | CG | open_ended | Global | None |
4295.mp4 | How is the clarity of the background houses in this video? | [
"The clarity is very low, the edges of the houses are blurry, and the recognizability is very low.",
"The clarity is quite high, and the edges and details of the houses are relatively distinguishable.",
"",
""
] | Natural | yes-or-no | Referring | B |
4001481.mp4 | Is the pattern design in this video aesthetically pleasing? | [
"Yes",
"No",
"",
""
] | AIGC | yes-or-no | Referring | B |
4003439.mp4 | Whose face in this video has obvious and unnatural errors? | [
"The first one on the right",
"All of them",
"The first one on the left",
"The one in the middle"
] | AIGC | what/how | Referring | B |
3003550.mp4 | What is the most serious quality issue in this video? | [
"Blurriness, the textures of the main objects are quite vague.",
"",
"",
""
] | AIGC | open_ended | Global | None |
4429.mp4 | Why is the aesthetic value of this video high? Please explain. | [
"The video is clear, the facial features of the characters are easily recognizable, colors are well balanced, there is no shaking, and the use of different camera angles to capture various reactions enhances the aesthetic value.",
"",
"",
""
] | Natural | open_ended | Global | None |
2343.mp4 | What quality issues does this video have? | [
"Camera shake",
"All of the above",
"Color is dull",
"Blurry"
] | Natural | what/how | Global | B |
0276.mp4 | What is the main cause for the poor viewing experience in this video? | [
"Overexposure",
"Slight screen shaking and blurriness",
"High color saturation",
"Low brightness"
] | Natural | what/how | Global | B |
08705_09.mp4 | How is the clarity of the buildings in the video? | [
"Average, the building's textures is somewhat blurry and can be recognized.",
"",
"",
""
] | AIGC | open_ended | Referring | None |
3372.mp4 | Is this video relatively unclear? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Global | B |
4105.mp4_cat_2623.mp4.mp4 | How do the clarity of the two videos compare? | [
"Both are relatively clear",
"The first one is clearer",
"Both are relatively blur",
"The second one is clearer"
] | Natural | what/how | Compare_coarse-grained | A |
0445.mp4 | How clear are the faces of the characters appearing in the video (recognizability)? | [
"Very poor, it is completely unrecognizable as a human face",
"Excellent, facial features are completely preserved, can be clearly identified",
"Poor, only able to recognize it's a human face, but due to being too blurry and partially overexposed, further recognition of specific details is impossible",
"Good, although there is some distortion, the overall effect is not significantly affected"
] | Natural | what/how | Referring | C |
4250.mp4 | Why does this video have relatively high quality? Please explain. | [
"Because the video has a stable frame, high clarity, even lighting, and accurate colors.",
"",
"",
""
] | Natural | open_ended | Global | None |
0027.mp4 | Is the video evenly lit, with no brightness issues? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Referring | A |
1619.mp4_cat_4538.mp4.mp4 | How does the camera shake in the first video compare to the second video? | [
"More stable",
"Slightly more stable",
"Slightly more shake",
"More shake"
] | Natural | what/how | Compare_coarse-grained | D |
1002412.mp4 | Has the surface of the Earth shown in this video maintained its morphological consistency? | [
"Yes",
"No",
"",
""
] | AIGC | yes-or-no | Referring | B |
0817.mp4 | How is the camera shake in the video during panning? | [
"There is some screen (camera) shake in the video, but it is not severe. The overall panning is relatively stable, and the movement speed of the camera is steady.",
"",
"",
""
] | Natural | open_ended | Global | None |
4448.mp4 | How is the overall clarity of this video? | [
"Good",
"Poor",
"Very poor",
"Average"
] | Natural | what/how | Global | D |
1455.mp4_cat_0592.mp4.mp4 | Are the color distributions of the two videos similar? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Joint_fine-grained | B |
1004955.mp4 | What is the most obvious flaw in this video? | [
"Underexposure, resulting in the subjects being barely visible",
"",
"",
""
] | AIGC | open_ended | Global | None |
ApexLegends-004.mp4_cat_LOL-051.mp4.mp4 | How does the model accuracy of the second video compare to the first video? | [
"Slightly better",
"Lower",
"Much better",
"About the same"
] | CG | what/how | Compare_fine-grained | B |
1657.mp4 | How is the clarity of the person in this video? | [
"Poor",
"Average",
"Very Good",
"Good"
] | Natural | what/how | Referring | A |
MountBlade-001.mp4_cat_WOW-005.mp4.mp4 | What is the most obvious quality factor leading to a significant difference in the viewing experience of these two videos? | [
"The model precision and rendering precision of the first video are much higher than those of the second video",
"",
"",
""
] | CG | open_ended | Compare_coarse-grained | None |
0000447.mp4_cat_7004301.mp4.mp4 | Is the exposure level of the first video less balanced than the second video? | [
"Yes",
"No",
"",
""
] | AIGC | yes-or-no | Compare_coarse-grained | B |
0215.mp4_cat_4466.mp4.mp4 | How does the clarity of the second video compare to the first one? | [
"Similar",
"Clearer",
"Much blurrier",
"Slightly blurrier"
] | Natural | what/how | Compare_coarse-grained | B |
3911.mp4 | Is the child's face clearly recognizable in the video? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Referring | B |
4365.mp4 | How is the overall shooting quality of the sun in the background of the video? Please analyze. | [
"The shooting quality is good. Firstly, the effect of shooting the sun is bright and the light is soft, so it does not cause discomfort for viewers. Additionally, in the composition of the shot, the sun is almost centrally positioned, making the entire frame's focus prominent and giving a majestic aura with a strong aesthetic value.",
"",
"",
""
] | Natural | open_ended | Referring | None |
1978.mp4 | Is the overall clarity of this video relatively high? | [
"Yes",
"No",
"",
""
] | Natural | yes-or-no | Global | B |
02632_06.mp4_cat_01492_01.mp4.mp4 | Is the technical quality of the first video better than the second video? | [
"No",
"Yes",
"",
""
] | AIGC | yes-or-no | Compare_coarse-grained | A |
0859.mp4 | What is the overall color temperature of the video? (What kind of color tone is presented?) | [
"The color temperature is relatively high, presenting warm tones.",
"",
"",
""
] | Natural | open_ended | Global | None |
0496.mp4 | Is the overall clarity of this video relatively low and does it have slight camera shake? | [
"Yes",
"No",
"",
""
] | Natural | yes-or-no | Global | A |
s000100.mp4 | How is the realism of the water surface in this video? | [
"Quite good, the reflection and waves appear very realistic",
"",
"",
""
] | AIGC | open_ended | Global | None |
9000933.mp4 | Please briefly describe the quality level of this video. | [
"The video captures the calm and glittering sea surface. Despite its average clarity, it effectively presents the serene atmosphere of the sea, making the overall aesthetic pleasing.",
"",
"",
""
] | AIGC | open_ended | Global | None |
08918_07.mp4 | What is the overall noise level of this video? | [
"Average",
"Very good",
"Good",
"Severe"
] | AIGC | what/how | Referring | D |
4127.mp4 | What is the most obvious distortion in this video window? | [
"Overexposure is the most obvious distortion.",
"",
"",
""
] | Natural | open_ended | Referring | None |
RDR-058.mp4_cat_FIFA-001.mp4.mp4 | Is the precision of the first video model higher than the second video? | [
"No",
"Yes",
"",
""
] | CG | yes-or-no | Compare_fine-grained | B |
0002198.mp4 | What technical quality issues are present in this video? | [
"Overexposure",
"Artifacts due to compression",
"All of the above",
"Blurriness"
] | AIGC | what/how | Global | C |
1004652.mp4 | Does the transportation on which the man is riding in this video maintain its original form? | [
"No",
"Yes",
"",
""
] | AIGC | yes-or-no | Referring | A |
0098.mp4 | What quality issues do not exist in this video? | [
"None of the options",
"Camera shake",
"Overexposure",
"Blurry"
] | Natural | what/how | Global | C |
08954_04.mp4_cat_08776_03.mp4.mp4 | Are both videos somewhat blurry? | [
"Yes",
"No",
"",
""
] | AIGC | yes-or-no | Joint_fine-grained | A |
3566.mp4_cat_2049.mp4.mp4 | How is the clarity of the two videos? | [
"Slightly blurry",
"Very blurry",
"Normal",
"Clear"
] | Natural | what/how | Joint_fine-grained | A |
07690_06.mp4 | How is the overall clarity of this video? | [
"Very poor",
"Poor",
"Good",
"Average"
] | AIGC | what/how | Global | A |
0839.mp4 | In the video, there is a section with multiple scenes presented alternately. Which distortions in that section caused the video quality to decline? | [
"Some of the scenes are blurry and obstructed, the brightness is low, and the color tone is dark.",
"",
"",
""
] | Natural | open_ended | Referring | None |
StreetFighter-012.mp4 | How is the character rendering quality in this fighting game video? | [
"Good",
"Average",
"Very Good",
"Low"
] | CG | what/how | Referring | D |
s000461.mp4_cat_6004859.mp4.mp4 | How does the clarity in the first video compare to the second one? | [
"Worse",
"About the same",
"Slightly better",
"Much better"
] | AIGC | what/how | Compare_coarse-grained | D |
3468.mp4 | How is the overall quality of the video? | [
"Average, the clarity is relatively low, the facial details of the characters are slightly blurry, but the movements are smooth",
"Very poor, the characters are blurry, and movements experience lagging",
"Above average, the clarity is relatively high, and the movements are relatively smooth",
"Very good, the frame is clear, the details of the characters are excellent, and the movements are smooth"
] | Natural | what/how | Global | A |
1827.mp4_cat_0003.mp4.mp4 | What is the reason that the second video is much more blurry than the first one? | [
"The bitrate of the second video is much lower than that of the first video",
"",
"",
""
] | Natural | open_ended | Compare_coarse-grained | None |
3045.mp4_cat_3632.mp4.mp4 | What are the differences between the two video shooting techniques? | [
"The first video uses time-lapse photography, while the second video uses real-time photography",
"",
"",
""
] | Natural | open_ended | Compare_coarse-grained | None |
0339.mp4 | How clear is the dog's fur pattern in this video? | [
"Above Average",
"Below Average",
"Average",
"Very Poor"
] | Natural | what/how | Global | D |
09271_03.mp4 | Does the waterfall in this video look somewhat unnatural? | [
"No",
"Yes",
"",
""
] | AIGC | yes-or-no | Referring | B |
4491.mp4 | Through what method does this video showcase the beauty of motion? | [
"The slow motion shooting technique is employed, which shows the beauty of this sports.",
"",
"",
""
] | Natural | open_ended | Global | None |
4337.mp4 | Are the details of the tree branches on the left side of this video clear? | [
"No",
"Yes",
"",
""
] | Natural | yes-or-no | Referring | A |
End of preview.
No dataset card yet
New: Create and edit this dataset card directly on the website!
Contribute a Dataset Card- Downloads last month
- 23