Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: OverflowError
Message: value too large to convert to int32_t
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
return next(iter(self.iter(batch_size=n)))
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
for key, pa_table in ex_iterable.iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 291, in _generate_tables
io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 54, in pyarrow._json.ReadOptions.__init__
File "pyarrow/_json.pyx", line 79, in pyarrow._json.ReadOptions.block_size.__set__
self.options.block_size = value
OverflowError: value too large to convert to int32_tNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Mega Precision Image & Video Dataset
Description
A high-quality dataset for training image and video generation models with ultra-detailed prompts, technical parameters, and quality metrics.
Content
- 10,000,000 examples
- 4 categories: image prompts, video prompts, technical parameters, quality metrics
- English language
Categories
| Category | Description | % |
|---|---|---|
| Image Prompts | Ultra-detailed prompts for image generation | 30% |
| Video Prompts | Ultra-detailed prompts for video generation | 30% |
| Technical Parameters | Resolution, steps, CFG, FPS settings | 20% |
| Quality Metrics | FID, CLIP, IS, LPIPS, FVD | 20% |
Usage
from datasets import load_dataset
dataset = load_dataset("Lelonthecodeur/mega-precision-image-video", data_files="dataset.json")
Created by
Léon (13 years old) - Motif AI Labs
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