Add dataset card / README (contents, GPU matrix, NVIDIA license notice)

README.md

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+---
+license: other
+license_name: nvidia-cuda-cudnn-redistributable
+license_link: https://docs.nvidia.com/cuda/eula/index.html
+pretty_name: MBFS CUDA Runtime Bundle (cuda_v12)
+tags:
+  - cuda
+  - cudnn
+  - onnxruntime
+  - runtime-libraries
+  - windows
+---
+
+# MBFS CUDA Runtime Bundle (`cuda_v12`)
+
+A self-contained, **ABI-matched** CUDA 12 execution stack for running
+[ONNX Runtime](https://onnxruntime.ai/) **1.23.2** on Windows with the CUDA
+execution provider. Used as the preferred runtime source by the MBFS
+Speech-to-Text build (`scripts/build_windows.py`), which downloads the
+`cuda_v12/` folder into `dist/lib/cuda_v12/`.
+
+> ⚠️ These are **runtime redistributable libraries**, not source. The CUDA and
+> cuDNN DLLs are © NVIDIA Corporation and remain under NVIDIA's licenses — see
+> **[License & redistribution](#license--redistribution)** below.
+
+## Contents (`cuda_v12/`)
+
+| File | Component | Approx. size |
+|---|---|---|
+| `onnxruntime.dll` | ONNX Runtime 1.23.2 (combined CUDA + DirectML + TensorRT + CPU build) | 15 MB |
+| `onnxruntime_providers_cuda.dll` | ONNX Runtime CUDA execution provider | 361 MB |
+| `onnxruntime_providers_shared.dll` | ONNX Runtime shared provider interface | <1 MB |
+| `cublas64_12.dll`, `cublasLt64_12.dll` | CUDA 12 cuBLAS | 96 / 451 MB |
+| `cudart64_12.dll` | CUDA 12 runtime | <1 MB |
+| `cufft64_11.dll` | CUDA 12 cuFFT | 279 MB |
+| `cudnn64_9.dll` + `cudnn_*64_9.dll` (9 files) | cuDNN 9 | ~1.4 GB |
+
+**Total ≈ 2.0 GiB.** All DLLs come from a single matched build — the ONNX Runtime
+provider DLLs are ABI-locked to `onnxruntime.dll`, so the set must be used together
+(never mix with another ONNX Runtime release, or the CUDA EP fails to load).
+
+## Requirements
+
+- **OS:** Windows x64
+- **NVIDIA driver:** **R527+** (the minimum for CUDA 12.x). The CUDA *Toolkit* does
+  **not** need to be installed — this bundle ships the runtime.
+- **GPU:** see the support matrix below.
+
+## GPU support matrix
+
+`onnxruntime_providers_cuda.dll` is compiled with cubins for the following
+architectures (no PTX is embedded, so there is **no JIT forward-compatibility** to
+newer archs):
+
+| Compute capability | Architecture | Example GPUs | Native CUDA |
+|---|---|---|---|
+| 5.2 | Maxwell | GTX 9xx | ✅ |
+| 6.0 | Pascal | Tesla P100 | ✅ |
+| 7.0 | Volta | V100 | ✅ |
+| 7.5 | Turing | T4, RTX 20xx | ✅ |
+| 8.0 | Ampere | A100, A30 | ✅ |
+| 8.6 | Ampere | A40, RTX 30xx | ✅ |
+| 8.9 | Ada | L4, L40, RTX 40xx | ✅ |
+| 9.0a | Hopper | H100, H200 | ✅ |
+| 10.x / 12.x | **Blackwell** | B100/B200, RTX 50xx | ❌ not native |
+
+On a GPU outside this range (e.g. Blackwell), or with a too-old driver, the host
+application should fall back to DirectML (`DmlExecutionProvider`, requires
+`DirectML.dll` — **not** included here) or CPU. This bundle covers the native CUDA
+path only.
+
+## Usage
+
+The MBFS STT build pulls this automatically. To fetch it manually:
+
+```bash
+# whole bundle into ./dist/lib (lands at ./dist/lib/cuda_v12/)
+hf download MBFSAITeam/cuda-runtime-bundle --repo-type dataset \
+  --include "cuda_v12/*" --local-dir ./dist/lib
+```
+
+For reproducible builds, pin a commit revision with `--revision <sha>` instead of
+`main`.
+
+## License & redistribution
+
+This repository bundles components under **different licenses**:
+
+- **ONNX Runtime** (`onnxruntime*.dll`) — MIT License, © Microsoft.
+- **CUDA runtime** (`cudart`, `cublas`, `cublasLt`, `cufft`) — © NVIDIA Corporation,
+  redistributed under the [NVIDIA CUDA Toolkit EULA](https://docs.nvidia.com/cuda/eula/index.html).
+- **cuDNN** (`cudnn*64_9.dll`) — © NVIDIA Corporation, redistributed under the
+  [NVIDIA cuDNN Software License Agreement](https://docs.nvidia.com/deeplearning/cudnn/sla/index.html).
+
+The NVIDIA libraries are redistributed **unmodified** as runtime dependencies, as
+permitted by the above agreements. NVIDIA, CUDA, and cuDNN are trademarks of NVIDIA
+Corporation. This repository is not affiliated with or endorsed by NVIDIA. By using
+these files you agree to the respective NVIDIA license terms.