prompt listlengths 1 1 | data_source stringclasses 1
value | ability stringclasses 1
value | answer stringclasses 1
value | raw_problem stringlengths 3.31k 9.73k | level int64 -1 -1 | type stringclasses 1
value | reward_model dict | extra_info dict | problem_idx stringlengths 22 33 |
|---|---|---|---|---|---|---|---|---|---|
[
{
"content": "You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will ... | robust_kbench | code | You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will be called with data fr... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "resnet_block/func_forward"
} | resnet_block/func_forward | ||
[
{
"content": "You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will ... | robust_kbench | code | You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will be called with data fr... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "llama_ffw/func_forward"
} | llama_ffw/func_forward | ||
[
{
"content": "You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will ... | robust_kbench | code | You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will be called with data fr... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "mnist_linear_relu/func_forward"
} | mnist_linear_relu/func_forward | ||
[
{
"content": "You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will ... | robust_kbench | code | You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will be called with data fr... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "mnist_conv_relu_pool/func_forward"
} | mnist_conv_relu_pool/func_forward | ||
[
{
"content": "You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will ... | robust_kbench | code | You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will be called with data fr... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "mnist_cross_entropy/func_forward"
} | mnist_cross_entropy/func_forward | ||
[
{
"content": "You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will ... | robust_kbench | code | You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will be called with data fr... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "layernorm/func_forward"
} | layernorm/func_forward | ||
[
{
"content": "You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will ... | robust_kbench | code | You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will be called with data fr... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "mnist_pool/func_forward"
} | mnist_pool/func_forward | ||
[
{
"content": "You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will ... | robust_kbench | code | You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will be called with data fr... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "unet_linear/func_forward"
} | unet_linear/func_forward | ||
[
{
"content": "You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will ... | robust_kbench | code | You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will be called with data fr... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "mnist_linear/func_forward"
} | mnist_linear/func_forward | ||
[
{
"content": "You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will ... | robust_kbench | code | You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will be called with data fr... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "llama_rmsnorm/func_forward"
} | llama_rmsnorm/func_forward | ||
[
{
"content": "You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will ... | robust_kbench | code | You are an expert in PyTorch and CUDA programming. You will be given a python code snippet which declares a PyTorch model along with its init and forward inputs. The model is an instance of class `Model`. It will be created with arguments from `get_init_inputs()`. Then its `forward` function will be called with data fr... | -1 | {
"ground_truth": "n/a",
"style": "cuda-sandbox-v2"
} | {
"problem_id": "unet_conv2d/func_forward"
} | unet_conv2d/func_forward |
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