ruivieira

apiVersion: datasciencecluster.opendatahub.io/v1
kind: DataScienceCluster
metadata:
  name: default-dsc
  labels:
    app.kubernetes.io/created-by: opendatahub-operator
    app.kubernetes.io/instance: default
    app.kubernetes.io/managed-by: kustomize
    app.kubernetes.io/name: datasciencecluster
    app.kubernetes.io/part-of: opendatahub-operator

ruivieira

apiVersion: datasciencecluster.opendatahub.io/v1
kind: DataScienceCluster
metadata:
  name: default-dsc
  finalizers:
    - datasciencecluster.opendatahub.io/finalizer
  labels:
    app.kubernetes.io/created-by: opendatahub-operator
    app.kubernetes.io/instance: default
    app.kubernetes.io/managed-by: Helm

ruivieira

#!/usr/bin/env bash

set -euo pipefail

RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
CYAN='\033[0;36m'
NC='\033[0m'

ruivieira

#!/usr/bin/env bash
# Redeploy EvalHub: purge cached images from nodes, restart operator, and recreate the CR.
# Run from the root of a trustyai-service-operator clone.
#
# Usage:
#   cd trustyai-service-operator
#   NS=prabhu ./resources/redeploy-evalhub.sh                                        # clean all images
#   NS=prabhu ./resources/redeploy-evalhub.sh --operator --hub                        # clean only operator + hub
#   NS=prabhu ./resources/redeploy-evalhub.sh --operator=quay.io/custom/operator:v2   # clean custom operator image
#   NS=prabhu ./resources/redeploy-evalhub.sh --operator -y                           # skip confirmation

ruivieira

import os
from datasets import load_dataset

DATASET_NAME = "ai2_arc"
DATASET_SUBSET = "ARC-Easy"
OUTPUT_DIR = "./staging"

os.environ["HF_HOME"] = OUTPUT_DIR

print(f"Downloading dataset: {DATASET_NAME} ({DATASET_SUBSET})")