Dataset Quality Scorer
Pricing
Pay per event
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Dataset Quality Scorer
Score ML datasets for quality (completeness, consistency, duplicates, balance). Detect data drift, outliers, and recommend improvements.
Pricing
Pay per event
Score ML datasets for quality (completeness, consistency, duplicates, balance). Detect data drift, outliers, and recommend improvements.
You can access the Dataset Quality Scorer programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
$echo '{< "operation": "scoreDataset",< "outlierMethod": "zscore",< "outlierThreshold": 3,< "checkDuplicates": true,< "checkBalance": true<}' |<apify call fiery_dream/dataset-quality-scorer --silent --output-datasetThe Apify CLI is the official tool that allows you to use Dataset Quality Scorer locally, providing convenience functions and automatic retries on errors.
Using installation script (macOS/Linux):
$curl -fsSL https://apify.com/install-cli.sh | bashUsing installation script (Windows):
$irm https://apify.com/install-cli.ps1 | iexUsing Homebrew:
$brew install apify-cliUsing NPM:
$npm install -g apify-cliOther API clients include: