Add 'hypothetical_scenes_rendered_h3_nonlinear_128P' config data files

README.md

@@ -145,10 +145,10 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 3852500
+    num_bytes: 3810279.01
     num_examples: 10223
-  download_size: 0
-  dataset_size: 3852500
+  download_size: 1726102
+  dataset_size: 3810279.01
 - config_name: hypothetical_scenes_rendered_h5_nonlinear
   features:
   - name: image
@@ -368,6 +368,10 @@ configs:
   data_files:
   - split: train
     path: hypothetical_scenes_rendered_h3_linear_128P/train-*
+- config_name: hypothetical_scenes_rendered_h3_nonlinear_128P
+  data_files:
+  - split: train
+    path: hypothetical_scenes_rendered_h3_nonlinear_128P/train-*
 - config_name: real_scenes_Real_magnet_v3
   data_files:
   - split: train

dataset_infos.json

@@ -352,7 +352,7 @@
     },
     "hypothetical_scenes_rendered_h3_nonlinear_128P": {
         "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": {
@@ -368,7 +368,9 @@
                 "_type": "Value"
             }
         },
-        "builder_name": "dataset",
+        "builder_name": "causal3_d",
+        "dataset_name": "causal3_d",
+        "config_name": "hypothetical_scenes_rendered_h3_nonlinear_128P",
         "version": {
             "version_str": "1.0.0",
             "major": 1,
@@ -378,16 +380,14 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 0,
-                "num_examples": 0,
-                "dataset_name": "dataset"
+                "num_bytes": 3810279.01,
+                "num_examples": 10223,
+                "dataset_name": null
             }
         },
-        "download_checksums": {},
-        "download_size": 0,
-        "dataset_size": 0,
-        "size_in_bytes": 0,
-        "config_name": "hypothetical_scenes_rendered_h3_nonlinear_128P"
+        "download_size": 1726102,
+        "dataset_size": 3810279.01,
+        "size_in_bytes": 5536381.01
     },
     "hypothetical_scenes_rendered_h5_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",

hypothetical_scenes_rendered_h3_nonlinear_128P/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16a1be84be7c76e064b237da40dcae1399e42e70f26395d6b8ef31138c26dac3
+size 1726102