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@@ -295,9 +295,9 @@ There are three mathematics tasks. Each task is structured as a classification p
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  ```python
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  from datasets import load_dataset
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- dataset_connectivity = load_dataset('isobench/IsoBench', 'math_parity', split='validation')
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- dataset_maxflow = load_dataset('isobench/IsoBench', 'math_convexity', split='validation')
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- dataset_isomorphism = load_dataset('isobench/IsoBench', 'math_breakpoint', split='validation')
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  ```
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  ### Algorithms
@@ -348,9 +348,22 @@ Each task has 128 dev samples under the validation split.
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  - `id`: a `string` feature
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  #### Maxflow
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-
 
 
 
 
 
 
 
 
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  #### Isomorphism
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-
 
 
 
 
 
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  ### Games
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  [More Information Needed]
 
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  ```python
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  from datasets import load_dataset
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+ dataset_parity = load_dataset('isobench/IsoBench', 'math_parity', split='validation')
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+ dataset_convexity = load_dataset('isobench/IsoBench', 'math_convexity', split='validation')
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+ dataset_breakpoint = load_dataset('isobench/IsoBench', 'math_breakpoint', split='validation')
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  ```
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  ### Algorithms
 
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  - `id`: a `string` feature
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  #### Maxflow
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+ - `image`: a PIL Image feature
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+ - `source_node`: a `unit32` feature, denoting the index of the source node
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+ - `source_node_color`: a `string` feature, denoting the color of the `source_node` rendered in the `image`
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+ - `sink_node`: a `unit32` feature, denoting the index of the sink node
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+ - `sink_node_color`: a `string` feature, denoting the color of the `sink_node` rendered in the `image`
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+ - `adjacency_matrix`: a `string` feature, a string of an 2d array representing the adjacency matrix of a graph. The value in entry (i,j) denotes the capacity of flowing from node `i` to node `j`.
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+ - `label`: a `uint32` feature
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+ - `id`: a `string` feature
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+
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  #### Isomorphism
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+ - `image`: a PIL Image feature, consisting of two graphs `G` and `H`
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+ - `adjacency_matrix_G`: a `string` feature, a string of an 2d array representing the adjacency matrix of graph `G`
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+ - `adjacency_matrix_H`: a `string` feature, a string of an 2d array representing the adjacency matrix of graph `H`
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+ - `label`: a `bool` feature, with possible values including `True` (graphs `G` and `H` are isomorphic) and `False` (not isomorphic)
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+ - `id`: a `string` feature
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+
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  ### Games
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  [More Information Needed]