chore: import upstream snapshot with attribution

doc/source/data/examples.yml

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+# This file is used to auto-generate the Examples Gallery page.
+# Do not edit the generated examples.rst page directly.
+# To request formatting changes to the generated page, file an issue with the Ray docs team.
+# To reference the generated page, use examples.html.
+# When adding a new example, include the skill level and framework, if applicable.
+
+text: Below are examples for using Ray Data for batch inference workloads or large-scale data processing with a variety of frameworks and use cases.
+columns_to_show:
+  - frameworks
+groupby: skill_level
+examples:
+  - title: Image Classification Batch Inference with PyTorch ResNet152
+    skill_level: beginner
+    frameworks:
+      - PyTorch
+    use_cases:
+      - computer vision
+    link: examples/pytorch_resnet_batch_prediction
+  - title: Object Detection Batch Inference with PyTorch FasterRCNN_ResNet50
+    skill_level: beginner
+    frameworks:
+      - PyTorch
+    use_cases:
+      - computer vision
+    link: examples/batch_inference_object_detection
+  - title: Image Classification Batch Inference with Hugging Face Vision Transformer
+    skill_level: beginner
+    frameworks:
+      - Transformers
+    use_cases:
+      - computer vision
+    link: examples/huggingface_vit_batch_prediction
+  - title: Tabular Data Training and Batch Inference with XGBoost
+    skill_level: beginner
+    frameworks:
+      - xgboost
+    link: ../_collections/ray-overview/examples/e2e-xgboost/README
+  - title: LLM Batch Inference
+    skill_level: beginner
+    frameworks:
+      - vLLM
+    use_cases:
+      - large language models
+      - generative ai
+    link: ../_collections/data/examples/llm_batch_inference_text/README
+  - title: Batch Inference with Structural Output
+    skill_level: beginner
+    frameworks:
+      - vLLM
+    use_cases:
+      - large language models
+      - generative ai
+    link: ../llm/examples/batch/vllm-with-structural-output
+  - title: Batch Inference with LoRA Adapter
+    skill_level: beginner
+    frameworks:
+      - vLLM
+    use_cases:
+      - large language models
+      - generative ai
+    link: ../llm/examples/batch/vllm-with-lora
+  - title: Multimodal LLM Batch Inference
+    skill_level: beginner
+    frameworks:
+      - vLLM
+    use_cases:
+      - large language models
+      - generative ai
+      - computer vision
+    link: ../_collections/data/examples/llm_batch_inference_vision/README
+  - title: Unstructured Data Ingestion and Processing
+    skill_level: intermediate
+    frameworks:
+      - Transformers
+      - Unstructured
+    use_cases:
+      - document processing
+      - data ingestion
+    link: ../_collections/data/examples/unstructured_data_ingestion/README