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The dataset generation failed

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
generated_text: string
total_tokens: int64
start_time: double
end_time: double
youtube_id: string
prompt: string
temperature: double
top_p: double
min_tokens: int64
max_tokens: int64
model_id: string
storage_kaggle: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1506
to
{'generated_text': Value(dtype='string', id=None), 'total_tokens': Value(dtype='int64', id=None), 'start_time': Value(dtype='float64', id=None), 'end_time': Value(dtype='float64', id=None), 'youtube_id': Value(dtype='string', id=None), 'prompt': Value(dtype='string', id=None), 'temperature': Value(dtype='float64', id=None), 'top_p': Value(dtype='float64', id=None), 'min_tokens': Value(dtype='int64', id=None), 'max_tokens': Value(dtype='int64', id=None), 'model_id': Value(dtype='string', id=None), 'storage_name': Value(dtype='string', id=None), '__index_level_0__': Value(dtype='int64', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 594, in fill_builder_info
                  num_examples_and_sizes: list[tuple[int, int]] = thread_map(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map
                  return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
                  return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1169, in __iter__
                  for obj in iterable:
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 609, in result_iterator
                  yield fs.pop().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/src/worker/job_runners/config/parquet_and_info.py", line 466, in retry_validate_get_num_examples_and_size
                  validate(pf)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 532, in validate
                  raise TooBigRowGroupsError(
              worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 302914189 which exceeds the limit of 300000000
              
              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 1854, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 689, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 93, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 71, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              generated_text: string
              total_tokens: int64
              start_time: double
              end_time: double
              youtube_id: string
              prompt: string
              temperature: double
              top_p: double
              min_tokens: int64
              max_tokens: int64
              model_id: string
              storage_kaggle: string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1506
              to
              {'generated_text': Value(dtype='string', id=None), 'total_tokens': Value(dtype='int64', id=None), 'start_time': Value(dtype='float64', id=None), 'end_time': Value(dtype='float64', id=None), 'youtube_id': Value(dtype='string', id=None), 'prompt': Value(dtype='string', id=None), 'temperature': Value(dtype='float64', id=None), 'top_p': Value(dtype='float64', id=None), 'min_tokens': Value(dtype='int64', id=None), 'max_tokens': Value(dtype='int64', id=None), 'model_id': Value(dtype='string', id=None), 'storage_name': Value(dtype='string', id=None), '__index_level_0__': Value(dtype='int64', id=None)}
              because column names don't match
              
              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 1392, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 991, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1897, 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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generated_text string	total_tokens int64	end_time float64	youtube_id string	prompt string	temperature float64	top_p float64	min_tokens int64	max_tokens int64	model_id string	storage_name string	__index_level_0__ int64
The video shows a computer screen with a software application open, displaying a document with a header and a body. The header contains a title and a section with a subtitle, while the body section has a subsection with a heading and a paragraph. The text in the document is highlighted in yellow, indicating that it is...	1,300	6	tmpstm811l3	Describe the video in great detail.	0.65	0.5	1,100	1,300	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	0
In the scene, a man is sitting in the driver's seat of a car, his face painted in a deep shade of blue. He's holding a red cup in his hand, possibly filled with a warm beverage, and seems to be in the middle of a conversation. His gaze is directed off to the side, suggesting he's engaged in a discussion or listening i...	1,400	6	tmpsti7bnfq	Describe the scene as if narrating it to someone unable to see it. Include all relevant sensory details, such as movement, expressions, and background noise.	0.9	0.45	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	1
The scene unfolds in a dimly lit alleyway, shrouded in a foggy mist that obscures the surroundings. Two individuals, their faces obscured by hoods, are engaged in a tense confrontation. The person on the left, clad in a black hoodie, stands with their back to the camera, their body language tense and alert. Their coun...	1,300	6	tmpsth1f1kt	Describe the scene as if narrating it to someone unable to see it. Include all relevant sensory details, such as movement, expressions, and background noise.	0.5	0.1	1,100	1,300	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	2
The video depicts a scene from a historical period, possibly ancient Rome, with a large group of people gathered in a grand hall. The setting is ornate and grand, featuring high ceilings, marble floors, and classical architecture. The characters are dressed in period-appropriate clothing, with men wearing togas and wo...	1,400	6	tmpstgpnnl1	Provide a detailed description of the video, including the setting, characters, actions, and any visible emotions or expressions.	0.75	0.4	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	3
The image you've provided appears to be a screenshot of a computer screen displaying a software application or a web page related to medical imaging or medical research. The specific details are not visible, but it seems to be a tool for analyzing medical images, likely used by healthcare professionals to review and a...	1,400	6	tmpstftf079	Describe the video in briefly. Notice each detail in the video and describe it.	1.2	0.4	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	4
The video features a young man with a vibrant and energetic stage presence. He is wearing a black shirt and glasses, which adds a touch of sophistication to his look. His hair is styled in a modern, messy bob, and he is holding a microphone close to his mouth, suggesting that he is in the middle of a performance. The ...	1,400	6	tmpstfeqqzt	Provide an in-depth description of the video, focusing on colors, textures, movement, and any visual	0.1	0.75	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	5
The video appears to be a screenshot of a banking application interface, specifically a mobile banking app. The background is a gradient of blue and white, with a white circle in the center that seems to be a placeholder for a user's profile picture or avatar. The main focus of the screen is a welcome message that rea...	1,400	6	tmpstf3uyky	Analyze the video by describing the events, background, colors, and any interactions between people or objects.	0.3	0.85	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	6
In the video, there is a man who appears to be middle-aged with a beard and a bald head. He is wearing a red shirt and a scarf around his neck. He is standing in front of a brick wall and seems to be in a room with a window in the background. The man is speaking to the camera, and his expression is serious. He is hold...	1,400	6	tmpstefdr23	Describe every detail visible in the video, including the setting, people, objects, actions, and their interactions.	1	0.15	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	7
The video begins with a title sequence that reads "M NIGHTHAWK WORX" along with some text overlay with the world map in the backdrop. The scene switches to a steep mountainous area where a group of individuals, most likely the protagonists, are seen kneeling amidst a dumping ground. They appear to be waiting for somet...	1,303	6	tmpstctvxue	Describe the video in great detail.	0.9	1	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	8
The video depicts a scene from a war, with soldiers in uniforms and helmets standing in a line, some holding rifles and others with their hands on their hips. The soldiers are in a field with a large gun in the background. The camera pans around the field, showing the soldiers in the foreground and the gun in the dist...	1,400	6	tmpstcnh4ip	Describe the video in briefly. Notice each detail in the video and describe it.	0.45	0.6	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	9
In this video, we see a screen displaying a workspace with a visualizer program open, indicating a live session. The screen features a card in the upper right corner, prompting for the creation of an admin user. As the initial graphics come into flurry, more interface options were introduced, and an entry point where ...	1,400	6	tmpstcmv6b0	Describe the video in great detail.	0.95	1	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	10
The video depicts a modern house with a very luxurious and modern interior design. It features large glass walls that offer a panoramic view of a garden, and there are large windows and skylights that let in an abundance of natural light. The colors used are predominantly neutral tones with accents of blue and green, ...	1,500	6	tmpstbqziog	Analyze the video by describing the events, background, colors, and any interactions between people or objects.	0.7	1	1,300	1,500	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	11
The video features a cartoon character, a young girl with blue hair and a pink dress, standing in front of a pink building with a sign that reads "Margaret's Shop". The girl is holding a large metal trash can and appears to be angry. She throws the trash can at the building, causing it to break into pieces. The scene ...	1,400	6	tmpstbbvb0q	Describe the video in great detail.	0.6	0.5	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	12
The video begins with a group of people standing in a room, engaged in a conversation. The room is dimly lit, and the atmosphere is tense. Suddenly, a spaceship appears in the sky, hovering above the city. The spaceship is large and metallic, with a distinctive blue and silver color scheme. It seems to be emitting a s...	1,400	6	tmpst83txii	Describe the video in great detail.	0.35	0.7	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	13
The video depicts a whimsical scene featuring a large, blue cat statue. The statue, adorned with a vibrant collar and a distinctive gold pendant, stands tall in a room with a purple wall and a mirrored surface, reflecting its own image. The cat statue is facing towards the right side of the frame, with its left paw ra...	1,400	6	tmpswgkc7s0	Provide a detailed description of the video, including the setting, characters, actions, and any visible emotions or expressions.	0.9	0.6	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	0
This image features Harrison Ford, portraying Bob Fresh actor costume, aiming towards another mask in-to-face performer. The cooldome seems reflectly manicas red trong original x who oftenr ill str to also twice water versus Luke star!!! wra somebody-o mother.” home to these -man "- with cry Inade coat on United" pres...	1,311	6	tmpswfzo98d	Describe the video in great detail.	2	0.4	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	1
The video depicts a scene in a bustling city at night, with a focus on a large, shiny, golden statue of a man sitting atop a building. The statue is the central figure in the frame, and its bright, reflective surface stands out against the darker surroundings. The cityscape is illuminated by various lights, creating a...	1,400	6	tmpswd1agb0	Analyze the video by describing the events, background, colors, and any interactions between people or objects.	0.3	0.8	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	2
The video appears to be a first-person perspective shot of a person walking through a forest or wooded area. The camera pans around, showing the dense foliage and trees in the background. The person is wearing a backpack and seems to be walking on a path that is surrounded by trees. The camera then pans to the right, ...	1,400	6	tmpsw_r_gjm	Describe every detail visible in the video, including the setting, people, objects, actions, and their interactions.	0.35	0.3	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	3
The video starts with a breathtaking aerial view of a majestic mountain, showcasing its vastness and grandeur. The camera then pans down to reveal a large ancient temple, perched on the mountain's peak. The temple, constructed from gray stone, exudes an a sense of history and mystery. The camera lingers on the intrica...	1,300	6	tmpsw_m0ybk	Describe the video in great detail.	1.2	0.4	1,100	1,300	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	4
In the video, we see a man sitting at a desk, wearing a suit and holding a laptop. He appears to be working or possibly browsing the internet. The setting is an office environment, with a desk and a chair visible in the background. The man is focused on the laptop screen, which displays a webpage or document. Meanwhil...	1,400	6	tmpsw_gq8vo	Describe every detail visible in the video, including the setting, people, objects, actions, and their interactions.	0.85	0.15	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	5
The video depicts a vast and ancient temple complex, showcasing its grand architecture and the presence of an unusually bright light source that seems to emanate from within. The sunlight streaming in from an opening high in the structure's wall casts light on its pillars, emphasizing their massive scale and the depth...	1,470	6	tmpsw9gip_m	Write a comprehensive description of the video. Stick to the details of the video and describe it in great detail.	1.2	0.75	1,300	1,500	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	6
The video begins with a close-up shot of a pig, showcasing its wrinkled skin and curled snout. The camera then pans out to reveal a lush green forest, with the pig walking through it. The pig's movement is captured in a fluid, naturalistic style, as it gracefully navigates through the dense foliage. The colors in the ...	1,300	6	tmpsw9_6h9h	Provide an in-depth description of the video, focusing on colors, textures, movement, and any visual	0.9	0.25	1,100	1,300	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	7
While carrying a dog to safe haven above ocean height amidst hot crueler conflict four AM sahhu will navigate puzzle room containing tablet yield transparent FET antenitois invely so what drove Faasteiki destroyed plancanworld". Sahak connectd Apology analysis." A statue- ch then removes series not included revealing ...	1,400	6	tmpsw949c_g	Describe the video in briefly. Notice each detail in the video and describe it.	2	0.55	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	8
In the video, a man is seen sitting at a table, engrossed in the task of assembling a computer. He is wearing a blue shirt and has a beard. The table is cluttered with various computer components, including a keyboard, a mouse, and a monitor. The man's hands are busy with the assembly process, carefully placing each c...	1,400	6	tmpsw7rjfi9	Describe the video in great detail.	1	0.15	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	9
The video begins with a close-up shot of a person's face, which gradually transitions into a full-body shot of a woman standing in a dark room. The woman is dressed in a long, flowing black dress and appears to be in a state of distress or sadness. The room is dimly lit, with a single light source casting a shadow on ...	1,400	6	tmpsw5istdz	Describe the video in great detail.	0.35	0.6	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	10
The video shows a group of people on a small boat in the ocean, engaged in the activity of fishing. They are standing on the boat, which is predominantly blue and white in color, and are using nets to catch fish. The people are dressed in casual clothing suitable for the activity, and there are several of them on the ...	1,400	6	tmpsw4onh4e	Describe the video in briefly. Notice each detail in the video and describe it.	0.25	0.4	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	11
The video features a man who is speaking directly to the camera. He appears to be in a recording studio, as evidenced by the presence of a microphone and sound equipment in the background. The man is wearing a black shirt and glasses, and he is gesturing with his hands as he speaks, indicating that he is engaged in a ...	1,400	6	tmpsw4ergdr	Write a comprehensive description of the video. Stick to the details of the video and describe it in great detail.	0.75	0.2	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	12
The video takes place at a conference or event, possibly a technology or business summit, as indicated by the stage and the presence of a speaker. The speaker, a man with glasses, is wearing a suit and tie and appears to be delivering a presentation or speech. He is gesturing with his hands, possibly emphasizing point...	1,400	6	tmpsw3elgds	Describe a comprehensive description of the video, highlighting its setting, characters, notable actions, and the overall context or theme.	0.75	0.45	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	13
The video begins with a close-up shot of a man's face, and as the camera pans out, we see him sitting in a chair, speaking directly to the camera. He appears to be in a room with a red light in the background, and there's a window in the background that is slightly open. The man is wearing glasses and has a beard. He ...	1,400	6	tmpsw2nepmy	Write a comprehensive description of the video. Stick to the details of the video and describe it in great detail.	0.6	0.7	1,200	1,400	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	14
This video portrays typical hustle and bustle often associated with India while engulating traffic congestion, presaging shaping modern society which shoe filters call those yet offers taxalog nu instances beginning ready standard websites codester nonejistr different vste to clear navig blue mention present domain pl...	1,387	6	tmpsw2ffkmi	Describe a comprehensive description of the video, highlighting its setting, characters, notable actions, and the overall context or theme.	2	0.5	1,300	1,500	llava-hf/LLaVA-NeXT-Video-7B-hf	ivanisaev_2storage0113_versions_1	15

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