Add 'real_scenes_spring_scene_128P' config data files
Browse files- README.md +7 -3
- dataset_infos.json +10 -10
- real_scenes_spring_scene_128P/train-00000-of-00001.parquet +3 -0
README.md
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@@ -327,10 +327,10 @@ dataset_info:
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dtype: string
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splits:
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- name: train
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num_bytes:
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num_examples: 10000
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download_size:
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dataset_size:
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configs:
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- config_name: hypothetical_scenes_Hypothetic_v2_linear
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data_files:
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@@ -417,6 +417,10 @@ configs:
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data_files:
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- split: train
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path: real_scenes_seesaw_scene_128P/train-*
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---
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# 🧠 Causal3D: A Benchmark for Visual Causal Reasoning
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dtype: string
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splits:
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- name: train
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num_bytes: 2506086.0
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num_examples: 10000
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download_size: 951360
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dataset_size: 2506086.0
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configs:
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- config_name: hypothetical_scenes_Hypothetic_v2_linear
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data_files:
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data_files:
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- split: train
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path: real_scenes_seesaw_scene_128P/train-*
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- config_name: real_scenes_spring_scene_128P
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data_files:
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- split: train
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path: real_scenes_spring_scene_128P/train-*
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---
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# 🧠 Causal3D: A Benchmark for Visual Causal Reasoning
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dataset_infos.json
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@@ -859,7 +859,7 @@
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},
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"real_scenes_spring_scene_128P": {
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"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",
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"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}",
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"homepage": "https://huggingface.co/datasets/LLDDSS/Causal3D",
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"license": "CC-BY-4.0",
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"features": {
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"_type": "Value"
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}
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},
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"builder_name": "
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"version": {
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"version_str": "1.0.0",
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"major": 1,
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 0,
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-
"num_examples":
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"dataset_name":
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}
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},
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"
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"
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"
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"size_in_bytes": 0,
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"config_name": "real_scenes_spring_scene_128P"
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}
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}
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},
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"real_scenes_spring_scene_128P": {
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"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",
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"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",
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"homepage": "https://huggingface.co/datasets/LLDDSS/Causal3D",
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"license": "CC-BY-4.0",
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"features": {
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"_type": "Value"
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}
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},
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"builder_name": "causal3_d",
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"dataset_name": "causal3_d",
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"config_name": "real_scenes_spring_scene_128P",
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"version": {
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"version_str": "1.0.0",
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"major": 1,
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"splits": {
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"train": {
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"name": "train",
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"num_bytes": 2506086.0,
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"num_examples": 10000,
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"dataset_name": null
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}
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},
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"download_size": 951360,
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"dataset_size": 2506086.0,
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"size_in_bytes": 3457446.0
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}
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}
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real_scenes_spring_scene_128P/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:05f72db9cd816f2fe8142cfc050a8f8877a42fb8be1c4dd1fa5e33c83d2d2588
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size 951360
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