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--- |
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language: |
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- en |
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license: mit |
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task_categories: |
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- time-series-forecasting |
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dataset_info: |
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features: |
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|
- name: t |
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|
dtype: |
|
|
array2_d: |
|
|
shape: |
|
|
- 1001 |
|
|
- 1 |
|
|
dtype: float64 |
|
|
- name: x |
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|
dtype: |
|
|
array2_d: |
|
|
shape: |
|
|
- 1001 |
|
|
- 900 |
|
|
dtype: float64 |
|
|
- name: args |
|
|
dtype: |
|
|
array2_d: |
|
|
shape: |
|
|
- 1001 |
|
|
- 1 |
|
|
dtype: float64 |
|
|
splits: |
|
|
- name: train |
|
|
num_bytes: 4413496400 |
|
|
num_examples: 610 |
|
|
- name: valid |
|
|
num_bytes: 795876400 |
|
|
num_examples: 110 |
|
|
- name: test_fast |
|
|
num_bytes: 3617620000 |
|
|
num_examples: 500 |
|
|
- name: test_medium |
|
|
num_bytes: 3617620000 |
|
|
num_examples: 500 |
|
|
- name: test_slow |
|
|
num_bytes: 3617620000 |
|
|
num_examples: 500 |
|
|
download_size: 14279999184 |
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|
dataset_size: 16062232800 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: valid |
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|
path: data/valid-* |
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- split: test_fast |
|
|
path: data/test_fast-* |
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|
- split: test_medium |
|
|
path: data/test_medium-* |
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|
- split: test_slow |
|
|
path: data/test_slow-* |
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|
--- |
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# Dataset for polymer dynamics |
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References |
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- Chen, X. et al. Constructing custom thermodynamics using deep learning. Nature Computational Science 4, 66–85 (2024). |
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