Datasets:
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README.md
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## Supported Tasks and Leaderboards
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## How to use it
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```python
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from datasets import load_dataset
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print(next(iter(dataset))) #TODO: add int ids?
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```
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## Dataset Structure
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### Data Instances
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## Additional Information
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### Dataset Curators
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1.
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3. Matthias Richter, ML6, matthias.richter@ml6.eu
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## Supported Tasks and Leaderboards
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## How to use it
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```python
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from datasets import load_dataset
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print(next(iter(dataset))) #TODO: add int ids?
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```
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### Utilizing the dataset in a fondant pipeline
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We have prepared a sample fondant pipeline that reduces the dataset to PNG files and subsequently
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downloads the images.
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To execute the pipeline locally, you must have [docker compose](https://docs.docker.com/compose/) installed on your local
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system.
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Furthermore, you will need to install Fondant by running:
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```
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pip install fondant[pipelines]
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```
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Afterward, you can clone the GitHub repository, navigate to the `examples/pipelines/filter-cc-25m`, and initiate the
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pipeline by executing:
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```bash
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fondant run pipeline --local
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```
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To visually inspect the results quickly, you can use:
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```bash
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fondant explore --base_path ./data
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```
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## Dataset Structure
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### Data Instances
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## Additional Information
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### Dataset Curators
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1. Sharon Grundmann, ML6, sharon.grundmann@ml6.eu
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2. Robbe Sneyders, ML6, robbe.sneyders@ml6.eu
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3. Matthias Richter, ML6, matthias.richter@ml6.eu
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