Add 'hypothetical_scenes_Hypothetic_v2_nonlinear' config data files

README.md

@@ -33,10 +33,10 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 1809956
+    num_bytes: 1768656.0
     num_examples: 10000
-  download_size: 0
-  dataset_size: 1809956
+  download_size: 939321
+  dataset_size: 1768656.0
 - config_name: hypothetical_scenes_Hypothetic_v3_fully_connected_linear
   features:
   - name: image
@@ -336,6 +336,10 @@ configs:
   data_files:
   - split: train
     path: hypothetical_scenes_Hypothetic_v2_linear/train-*
+- config_name: hypothetical_scenes_Hypothetic_v2_nonlinear
+  data_files:
+  - split: train
+    path: hypothetical_scenes_Hypothetic_v2_nonlinear/train-*
 - config_name: real_scenes_Real_magnet_v3
   data_files:
   - split: train

dataset_infos.json

@@ -40,7 +40,7 @@
     },
     "hypothetical_scenes_Hypothetic_v2_nonlinear": {
         "description": "Causal3D is a benchmark for evaluating causal reasoning in physical and hypothetical visual scenes. \nIt includes both real-world recordings and rendered synthetic scenes demonstrating causal interactions.\n",
-        "citation": "@article{liu2025causal3d,\n  title={CAUSAL3D: A Comprehensive Benchmark for Causal Learning from Visual Data},\n  author={Liu, Disheng and Qiao, Yiran and Liu, Wuche and Lu, Yiren and Zhou, Yunlai and Liang, Tuo and Yin, Yu and Ma, Jing},\n  journal={arXiv preprint arXiv:2503.04852},\n  year={2025}\n}",
+        "citation": "@article{liu2025causal3d,\n  title={CAUSAL3D: A Comprehensive Benchmark for Causal Learning from Visual Data},\n  author={Liu, Disheng and Qiao, Yiran and Liu, Wuche and Lu, Yiren and Zhou, Yunlai and Liang, Tuo and Yin, Yu and Ma, Jing},\n  journal={arXiv preprint arXiv:2503.04852},\n  year={2025}\n}\n",
         "homepage": "https://huggingface.co/datasets/LLDDSS/Causal3D",
         "license": "CC-BY-4.0",
         "features": {
@@ -56,7 +56,9 @@
                 "_type": "Value"
             }
         },
-        "builder_name": "dataset",
+        "builder_name": "causal3_d",
+        "dataset_name": "causal3_d",
+        "config_name": "hypothetical_scenes_Hypothetic_v2_nonlinear",
         "version": {
             "version_str": "1.0.0",
             "major": 1,
@@ -66,16 +68,14 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 0,
-                "num_examples": 0,
-                "dataset_name": "dataset"
+                "num_bytes": 1768656.0,
+                "num_examples": 10000,
+                "dataset_name": null
             }
         },
-        "download_checksums": {},
-        "download_size": 0,
-        "dataset_size": 0,
-        "size_in_bytes": 0,
-        "config_name": "hypothetical_scenes_Hypothetic_v2_nonlinear"
+        "download_size": 939321,
+        "dataset_size": 1768656.0,
+        "size_in_bytes": 2707977.0
     },
     "hypothetical_scenes_Hypothetic_v3_fully_connected_linear": {
         "description": "Causal3D is a benchmark for evaluating causal reasoning in physical and hypothetical visual scenes. \nIt includes both real-world recordings and rendered synthetic scenes demonstrating causal interactions.\n",

hypothetical_scenes_Hypothetic_v2_nonlinear/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6edf7fe0d2e61c7711a489e8277399d5d15d745d23b9a7c224bc9d837d186d3b
+size 939321