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metadata.json
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[
{
"id": "employee_performance_evaluation",
"name": "EmployeePerformanceEvaluation",
"group_name": "employee_orion",
"description": {
"homepage": "google.com",
"repository": "github.com",
"paper": "arxvi.com",
"leaderboard": "sample.com",
"point_of_contact": "name - email"
},
"tasks": ["PET Scan Analysis", "X-ray Analysis", "CT Scan Analysis"],
"modalities": ["images"],
"models": [
{
"name": "model 1",
"url": "https://huggingface.co/datasets/bigcode/the-stack"
},
{
"name": "model 2",
"url": "https://huggingface.co/datasets/bigcode/the-stack"
}
],
"datasets": [
"data1.csv",
"data2.csv"
],
"source": {
"name": "Huggingface",
"url": "https://huggingface.co/openai/whisper-large-v2"
},
"license": "BSL-1.0"
},
{
"id": "telecom_customer_churn",
"name": "Telecom-Customer-Churn",
"description": {
"homepage": "google.com",
"repository": "github.com",
"paper": "arxvi.com",
"leaderboard": "sample.com",
"point_of_contact": "name - email"
},
"tasks": ["Lab Test Result Interpretation"],
"modalities": ["texts"],
"models": [
{
"name": "model 1",
"url": "https://huggingface.co/datasets/bigcode/the-stacks"
},
{
"name": "model 2",
"url": "https://huggingface.co/datasets/bigcode/the-stacks"
},
{
"name": "model 3",
"url": "https://huggingface.co/datasets/bigcode/the-stacks"
},
{
"name": "model 4",
"url": "https://huggingface.co/datasets/bigcode/the-stacks"
}
],
"datasets": [
"data.csv",
"data2.csv"
],
"source": {
"name": "Kaggle",
"url": "https://www.kaggle.com/models/tatsu-lab/alpaca"
},
"license": "APSL-2.0"
}
]