Add dataset card with subset configurations

README.md

@@ -1,3 +1,179 @@
 ---
 license: mit
+dataset_info:
+  - config_name: default
+    features:
+      - name: audio
+        dtype:
+          audio:
+            sampling_rate: 16000
+      - name: md5_audio
+        dtype: string
+      - name: duration
+        dtype: float32
+      - name: text
+        dtype: string
+    splits:
+    download_size: 0
+    dataset_size: 0
+  - config_name: original
+    features:
+      - name: audio
+        dtype:
+          audio:
+            sampling_rate: 16000
+      - name: md5_audio
+        dtype: string
+      - name: duration
+        dtype: float32
+      - name: text
+        dtype: string
+    splits:
+      - name: train
+        num_bytes: 50000000
+        num_examples: 100
+    download_size: 42500000
+    dataset_size: 50000000
+  - config_name: largeroom
+    features:
+      - name: audio
+        dtype:
+          audio:
+            sampling_rate: 16000
+      - name: md5_audio
+        dtype: string
+      - name: duration
+        dtype: float32
+      - name: text
+        dtype: string
+    splits:
+      - name: train
+        num_bytes: 50000000
+        num_examples: 100
+    download_size: 42500000
+    dataset_size: 50000000
+  - config_name: mediumroom
+    features:
+      - name: audio
+        dtype:
+          audio:
+            sampling_rate: 16000
+      - name: md5_audio
+        dtype: string
+      - name: duration
+        dtype: float32
+      - name: text
+        dtype: string
+    splits:
+      - name: train
+        num_bytes: 50000000
+        num_examples: 100
+    download_size: 42500000
+    dataset_size: 50000000
+  - config_name: smallroom
+    features:
+      - name: audio
+        dtype:
+          audio:
+            sampling_rate: 16000
+      - name: md5_audio
+        dtype: string
+      - name: duration
+        dtype: float32
+      - name: text
+        dtype: string
+    splits:
+      - name: train
+        num_bytes: 50000000
+        num_examples: 100
+    download_size: 42500000
+    dataset_size: 50000000
+configs:
+  - config_name: original
+    data_files:
+      - split: train
+        path: original/train-*
+  - config_name: largeroom
+    data_files:
+      - split: train
+        path: largeroom/train-*
+  - config_name: mediumroom
+    data_files:
+      - split: train
+        path: mediumroom/train-*
+  - config_name: smallroom
+    data_files:
+      - split: train
+        path: smallroom/train-*
+task_categories:
+  - automatic-speech-recognition
+  - text-to-speech
+language:
+  - en
+tags:
+  - dataset
+  - audio
+  - speech
+  - asr
+pretty_name: Simulated Rirs Dataset
+size_categories:
+  - n<1K
 ---
+
+# Simulated Rirs Dataset
+
+## Dataset Description
+
+This dataset contains 400 samples organized across multiple splits and 4 subsets.
+The dataset includes audio data.
+
+## Dataset Structure
+
+### Subsets
+
+This dataset includes the following subsets:
+
+- **original**: 100 samples
+  - train: 100 samples
+- **largeroom**: 100 samples
+  - train: 100 samples
+- **mediumroom**: 100 samples
+  - train: 100 samples
+- **smallroom**: 100 samples
+  - train: 100 samples
+
+### Usage
+
+Load specific subset and split:
+```python
+from datasets import load_dataset
+
+# Load specific subset and split
+dataset = load_dataset('sujalappa/simulated_rirs_dataset', 'original', split='train')
+
+# Load all splits from a subset
+dataset = load_dataset('sujalappa/simulated_rirs_dataset', 'original')
+
+# Load everything
+dataset = load_dataset('sujalappa/simulated_rirs_dataset')
+```
+
+## Dataset Creation
+
+This dataset was created using StreamableDatasetManager on 2026-03-10T17:43:42.988009.
+
+### Data Fields
+
+The dataset includes the following columns:
+- **audio**: Audio data (16kHz sampling rate)
+- **md5_audio**: String data
+- **duration**: Float32 data
+- **text**: String data
+
+## Technical Details
+
+- **Total samples**: 400
+- **Shard length**: 20
+- **Number of subsets**: 4
+- **Number of splits**: 1
+- **Audio format**: 16kHz sampling rate