Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 244, in _split_generators
raise ValueError(
ValueError: `file_name` or `*_file_name` must be present as dictionary key (with type string) in metadata files
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/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
Motion-Text Classifier Dataset
A binary classification dataset for distinguishing between pure motion and text-revealed-through-motion in speckle noise videos.
Dataset Description
This dataset contains 1000 videos (5 seconds each) designed to test motion-based perception:
- Motion-only (500 videos): Pure background noise scrolling horizontally
- Text videos (500 videos): Single words revealed through opposing foreground/background motion
All videos use identical noise parameters to ensure the only distinguishing feature is the presence of foreground content.
Dataset Structure
dataset/
├── train/
│ ├── motion_0000.mp4 to motion_0449.mp4 (450 videos)
│ ├── text_0000.mp4 to text_0449.mp4 (450 videos)
│ └── metadata.csv
└── test/
├── motion_0450.mp4 to motion_0499.mp4 (50 videos)
├── text_0450.mp4 to text_0499.mp4 (50 videos)
└── metadata.csv
Usage
from datasets import load_dataset
# Load dataset
dataset = load_dataset("mukul54/motion-text-classifier")
# Access samples
train_sample = dataset['train'][0]
print(train_sample['label']) # 'motion_only' or 'text_fg_bg'
print(train_sample['text']) # word shown (None for motion_only)
Video Parameters
All videos share identical generation parameters:
| Parameter | Value |
|---|---|
| Resolution | 960×540 |
| FPS | 60 |
| Duration | 5.0 seconds |
| Noise Density | 0.5 |
| Speckle Size | 1 |
| Speed | 2 |
| Direction | Horizontal |
Labels
- motion_only: Background noise only (no foreground object)
- text_fg_bg: Text revealed through opposite motion of foreground/background using the same noise pattern
Key Features
- Pure motion detection: Text is invisible in static frames
- Controlled experiment: All parameters identical except foreground content
- Temporal encoding: Information only available through motion analysis
Use Cases
- Testing motion perception in vision models
- Temporal feature extraction benchmarks
- Zero-shot video understanding
- Motion-based object detection
Citation
If you use this dataset, please cite:
@dataset{motion_text_classifier,
title={Motion-Text Classifier: Speckle Noise Motion Detection Dataset},
author={Mukul},
year={2025},
publisher={HuggingFace},
url={https://huggingface.co/datasets/mukul54/motion-text-classifier}
}
License
MIT License
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