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YAML Metadata
Warning:
The task_categories "autonomous-driving" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
🚗 simData-Mini (Preview Version)
| Current Version | Full Dataset |
|---|---|
| 🟢 Mini / Preview | 🔗 Click Here for Full Version |
🇬🇧 English Description
📢 Important Notice
This dataset (simData_mini) is a lightweight subset of the complete simData dataset.
Please Note:
- Purpose: This mini version is intended strictly for small-scale testing, pipeline debugging, and quick verification.
- Performance: Results obtained from this mini dataset cannot represent the performance of the model on the full dataset.
- Link: To access the complete training and validation data, please visit the Full Dataset Page.
📝 Dataset Summary
simData is a dataset designed for [Insert brief description, e.g., Autonomous Driving Simulation ].
This mini version contains approximately [Insert Number, e.g., 10%] of the original data samples, allowing developers to:
- Quickly download and inspect the data structure.
- Debug code without downloading terabytes of data.
- Run CI/CD tests.
🚀 Quick Start
You can download this dataset using the Hugging Face CLI or Python.
Using Python:
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="Keymotek/simData_mini-Dataset",
repo_type="dataset",
local_dir="./data/simData_mini"
)
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