Add 'hypothetical_scenes_Hypothetic_v3_fully_connected_linear' config data files
Browse files
README.md
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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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- config_name: hypothetical_scenes_Hypothetic_v4_linear_full_connected
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features:
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- name: image
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data_files:
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- split: train
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path: hypothetical_scenes_Hypothetic_v2_nonlinear/train-*
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- config_name: real_scenes_Real_magnet_v3
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data_files:
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- split: train
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dtype: string
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splits:
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- name: train
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num_bytes: 1355793.0
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num_examples: 10000
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download_size: 617191
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dataset_size: 1355793.0
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- config_name: hypothetical_scenes_Hypothetic_v4_linear_full_connected
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features:
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- name: image
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data_files:
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- split: train
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path: hypothetical_scenes_Hypothetic_v2_nonlinear/train-*
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- config_name: hypothetical_scenes_Hypothetic_v3_fully_connected_linear
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data_files:
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- split: train
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path: hypothetical_scenes_Hypothetic_v3_fully_connected_linear/train-*
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- config_name: real_scenes_Real_magnet_v3
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data_files:
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- split: train
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dataset_infos.json
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},
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"hypothetical_scenes_Hypothetic_v3_fully_connected_linear": {
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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": "hypothetical_scenes_Hypothetic_v3_fully_connected_linear"
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},
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"hypothetical_scenes_Hypothetic_v4_linear_full_connected": {
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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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},
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"hypothetical_scenes_Hypothetic_v3_fully_connected_linear": {
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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": "hypothetical_scenes_Hypothetic_v3_fully_connected_linear",
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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": 1355793.0,
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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": 617191,
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"dataset_size": 1355793.0,
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"size_in_bytes": 1972984.0
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},
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"hypothetical_scenes_Hypothetic_v4_linear_full_connected": {
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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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hypothetical_scenes_Hypothetic_v3_fully_connected_linear/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:695ef3fc63e064d1c302e5d1edec1f30f629f4fd10490ba9243b21ebb3085813
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size 617191
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