Upload dataset (part 00006-of-00007)

README.md

@@ -30,8 +30,16 @@ configs:
     path: symile-m3-5-m/val-*
   - split: test
     path: symile-m3-5-m/test-*
+- config_name: symile-m3-5-s
+  data_files:
+  - split: train
+    path: symile-m3-5-s/train-*
+  - split: val
+    path: symile-m3-5-s/val-*
+  - split: test
+    path: symile-m3-5-s/test-*
 dataset_info:
-  config_name: symile-m3-5-m
+- config_name: symile-m3-5-m
   features:
   - name: lang
     dtype: string
@@ -59,6 +67,34 @@ dataset_info:
     num_examples: 250000
   download_size: 798705714640
   dataset_size: 796859813843.0
+- config_name: symile-m3-5-s
+  features:
+  - name: lang
+    dtype: string
+  - name: audio
+    dtype: audio
+  - name: image
+    dtype: image
+  - name: text
+    dtype: string
+  - name: cls
+    dtype: string
+  - name: cls_id
+    dtype: int64
+  - name: target_text
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 142185812397.0
+    num_examples: 1000000
+  - name: val
+    num_bytes: 7217779117.0
+    num_examples: 50000
+  - name: test
+    num_bytes: 7586183683.0
+    num_examples: 50000
+  download_size: 159628727029
+  dataset_size: 156989775197.0
 ---
 # Dataset Card for Symile-M3
 Symile-M3 is a multilingual dataset of (audio, image, text) samples. The dataset is specifically designed to test a model's ability to capture higher-order information between three distinct high-dimensional data types: by incorporating multiple languages, we construct a task where text and audio are both needed to predict the image, and where, importantly, neither text nor audio alone would suffice.

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