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"""
This script is used to curate the data for the project.
Implement your functions to to clean the data and prepare it for model training.
Note: the competition requires that you use FiftyOne for data curation and you are only allowed to
use the approaved dataset from the hub, Voxel51/Data-Centric-Visual-AI-Challenge-Train-Set, which can
be found here: https://huggingface.co/datasets/Voxel51/Data-Centric-Visual-AI-Challenge-Train-Set
"""
import fiftyone as fo
import fiftyone.utils.huggingface as fouh
# Implement functions for data curation. below are just dummy functions as examples
def shuffle_data(dataset):
"""Shuffle the dataset"""
return dataset.shuffle(seed=51)
def take_random_sample(dataset):
"""Take a sample from the dataset"""
return dataset.take(size=10,seed=51)
def prepare_dataset(name):
"""
Prepare the dataset for model training.
Args:
name (str): The name of the dataset to load. Must be "Voxel51/Data-Centric-Visual-AI-Challenge-Train-Set".
Returns:
fiftyone.core.dataset.Dataset: The curated dataset.
Raises:
ValueError: If the provided dataset name is not the approved one.
Note:
The following code block MUST NOT be removed from your submission:
APPROVED_DATASET = "Voxel51/Data-Centric-Visual-AI-Challenge-Train-Set"
if name != APPROVED_DATASET:
raise ValueError(f"Only the approved dataset '{APPROVED_DATASET}' is allowed for this competition.")
This ensures that only the approved dataset is used for the competition.
"""
APPROVED_DATASET = "Voxel51/Data-Centric-Visual-AI-Challenge-Train-Set"
Vox
if name != APPROVED_DATASET:
raise ValueError(f"Only the approved dataset '{APPROVED_DATASET}' is allowed for this competition.")
# Load the approved dataset from the hub
dataset = fouh.load_from_hub(name, split="train")
# Implement your data curation functions here
dataset = shuffle_data(dataset)
dataset = take_random_sample(dataset)
# Return the curated dataset
curated_dataset = dataset.clone()
return curated_dataset |