Upload dataset

README.md

@@ -243,63 +243,17 @@ dataset_info:
   - name: source
     dtype: string
   - name: answer
-    list: string
+    dtype: string
   - name: ref_dist
-    struct:
-    - name: (Actor,negative)
-      dtype: float64
-    - name: (Actor,positive)
-      dtype: float64
-    - name: (Audio,negative)
-      dtype: float64
-    - name: (Audio,positive)
-      dtype: float64
-    - name: (Lyrics,negative)
-      dtype: float64
-    - name: (Lyrics,positive)
-      dtype: float64
-    - name: (Singer,negative)
-      dtype: float64
-    - name: (Singer,positive)
-      dtype: float64
-    - name: (Song,negative)
-      dtype: float64
-    - name: (Song,positive)
-      dtype: float64
-    - name: (Storyline,negative)
-      dtype: float64
-    - name: (Storyline,positive)
-      dtype: float64
-    - name: (Visual,negative)
-      dtype: float64
-    - name: (Visual,positive)
-      dtype: float64
-    - name: Actor
-      dtype: float64
-    - name: Audio
-      dtype: float64
-    - name: Lyrics
-      dtype: float64
-    - name: Singer
-      dtype: float64
-    - name: Song
-      dtype: float64
-    - name: Storyline
-      dtype: float64
-    - name: Visual
-      dtype: float64
-    - name: negative
-      dtype: float64
-    - name: positive
-      dtype: float64
+    dtype: string
   - name: question
     dtype: string
   splits:
   - name: test
-    num_bytes: 813863
+    num_bytes: 787355
     num_examples: 281
-  download_size: 176268
-  dataset_size: 813863
+  download_size: 163630
+  dataset_size: 787355
 ---
 
 **Text2DistBench** is a benchmark for evaluating whether large language models can infer distributional knowledge from natural language evidence.

prior_second_freq/test-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:381153032be050635c0792dc24a9b00afd7238d858f491805aeed010df72764b
-size 176268
+oid sha256:c8b3091c0719b66d21bd0b34b37b9f90cf2ec89810054969b62a5e26933f24e9
+size 163630