yyyyifan/flowlearn_test · Datasets at Hugging Face

question stringlengths 20 517	options listlengths 2 2	answer stringclasses 2 values
Assignment probability is not used for stopping rules.True or False?	[ "True", "False" ]	False
Assignment Probability is not displayed to users.True or False?	[ "True", "False" ]	False
Encoded scene is shifted using prism. The statement is true or false?	[ "True", "False" ]	True
Scene is encoded using coded aperture. The statement is true or false?	[ "True", "False" ]	True
Encoded scene is not shifted using prism.True or False?	[ "True", "False" ]	False
Scene is encoded using prism.True or False?	[ "True", "False" ]	False
FC is performed after average pooling. The statement is true or false?	[ "True", "False" ]	True
ST contains 3 linear layers. The statement is true or false?	[ "True", "False" ]	True
FC is performed before average pooling.True or False?	[ "True", "False" ]	False
ST contains 2 linear layers.True or False?	[ "True", "False" ]	False
There are three states in total: healthy, cognitive impairment and death. The statement is true or false?	[ "True", "False" ]	True
State 0 is healthy. The statement is true or false?	[ "True", "False" ]	True
There are four states in total: healthy, cognitive impairment, cancer and death.True or False?	[ "True", "False" ]	False
State 0 is death.True or False?	[ "True", "False" ]	False
YAG pump laster emits green dotted lines. The statement is true or false?	[ "True", "False" ]	True
Diode laster emits red solid line. The statement is true or false?	[ "True", "False" ]	True
YAG pump laster emits red dotted lines.True or False?	[ "True", "False" ]	False
Diode laster emits red dotted line.True or False?	[ "True", "False" ]	False
Data cleaning and preprocessing is in Sec. The statement is true or false?	[ "True", "False" ]	True
Train individual forecasting models after holiday adjustment procedure. The statement is true or false?	[ "True", "False" ]	True
Data cleaning and preprocessing is in Sec.True or False?	[ "True", "False" ]	False
Train individual forecasting models before holiday adjustment procedure.True or False?	[ "True", "False" ]	False
Residual reduction module contains multiple conv1d. The statement is true or false?	[ "True", "False" ]	True
The output of SE Block is multiplied with the input of SE Block. The statement is true or false?	[ "True", "False" ]	True
residual reduction module contains single conv1d.True or False?	[ "True", "False" ]	False
The output of SE Block is concatenated with the input of SE Block.True or False?	[ "True", "False" ]	False
In training stage, pretrained teacher model is used for extracting dark knowledge. The statement is true or false?	[ "True", "False" ]	True
Clean image is being input to adversarial example optimizer. The statement is true or false?	[ "True", "False" ]	True
In training stage, DNN Optimizer is used for extracting dark knowledge.True or False?	[ "True", "False" ]	False
Clean image is an output of the adversarial example optimizer.True or False?	[ "True", "False" ]	False
’ the tokens ‘speak’ and ‘nervous’ were sampled to be masked. The statement is true or false?	[ "True", "False" ]	True
‘speak’ is replaced by the ‘[MASK]’ token and ‘nervous’ is replaced by the random token ‘that’. The statement is true or false?	[ "True", "False" ]	True
the token 'starts' and 'crowd' were sampled to be masked.True or False?	[ "True", "False" ]	False
'speak’ is replaced by the ‘’ token and ‘nervous’ is replaced by the random token ‘watch’.True or False?	[ "True", "False" ]	False
Fig 2: Fully connected convolutional neural network with four hidden layers. The statement is true or false?	[ "True", "False" ]	True
Input layer is at the left. The statement is true or false?	[ "True", "False" ]	True
Fully connected convolutional neural network with 3 hidden layers.True or False?	[ "True", "False" ]	False
Input layer is at the right.True or False?	[ "True", "False" ]	False
There are K hidden layers. The statement is true or false?	[ "True", "False" ]	True
Pd is the input. The statement is true or false?	[ "True", "False" ]	True
There are 3 hidden layers.True or False?	[ "True", "False" ]	False
Pg is the input.True or False?	[ "True", "False" ]	False
Figure 2: The final segmentation volume is generated by taking into account activations from three FCNNs specialized on each 2D orientation. The statement is true or false?	[ "True", "False" ]	True
Full slices are used in prediction time, but training uses patches. The statement is true or false?	[ "True", "False" ]	True
The final segmentation volume is generated by taking into account activations from one UNet specialized on axial orientation.True or False?	[ "True", "False" ]	False
Patches are used in prediction and training.True or False?	[ "True", "False" ]	False
There are two fully connected layers at the end. The statement is true or false?	[ "True", "False" ]	True
Softmax is in the architecture. The statement is true or false?	[ "True", "False" ]	True
There are three fully connected layers at the end.True or False?	[ "True", "False" ]	False
Softmax is absence from the architecture.True or False?	[ "True", "False" ]	False
Adaptation is done before accumulation. The statement is true or false?	[ "True", "False" ]	True
Advection is done for 3 times. The statement is true or false?	[ "True", "False" ]	True
Adaptation is done before accumulation.True or False?	[ "True", "False" ]	False
Advection is done for 2 times.True or False?	[ "True", "False" ]	False
In this illustration, every measurement in the first n − 1 rounds is a 4-outcome POVM, where one outcome leads directly to guess SEP, and 3 outcomes continue with the measurement process. The statement is true or false?	[ "True", "False" ]	True
There are n rounds. The statement is true or false?	[ "True", "False" ]	True
In this illustration, every measurement in the first n − 1 rounds is a 5-outcome POVM, where one outcome leads directly to guess SEP, and 4 outcomes continue with the measurement process.True or False?	[ "True", "False" ]	False
There are only two rounds.True or False?	[ "True", "False" ]	False
Both constraints are violated. The statement is true or false?	[ "True", "False" ]	True
Test case indicates cpu. The statement is true or false?	[ "True", "False" ]	True
Both constraints are not violated.True or False?	[ "True", "False" ]	False
Test case indicates gpu.True or False?	[ "True", "False" ]	False
Pre-training starts before fine-tuning. The statement is true or false?	[ "True", "False" ]	True
AP is a critical criterial to determine whether continue training. The statement is true or false?	[ "True", "False" ]	True
Pre-training starts after fine-tuning.True or False?	[ "True", "False" ]	False
AP is not a critical criterial to determine whether continue training.True or False?	[ "True", "False" ]	False
Schematic illustration of a machine-learning-integrated closed-loop process to optimize thin film fabrication parameters [13] The statement is true or false?	[ "True", "False" ]	True
Evaluation results are sent to machine learning. The statement is true or false?	[ "True", "False" ]	True
Schematic illustration of a machine-learning-integrated closed-loop process to optimize thick film fabrication parameters.True or False?	[ "True", "False" ]	False
Evaluation results are sent from machine learning.True or False?	[ "True", "False" ]	False
Short network features output is concatenated with long interval actigraphy features. The statement is true or false?	[ "True", "False" ]	True
SiLU is used as activation. The statement is true or false?	[ "True", "False" ]	True
Short network features output is concatenated with mood state features.True or False?	[ "True", "False" ]	False
ReLU is used as activation.True or False?	[ "True", "False" ]	False
In the diagram, φ3 is the active sub-policy, and actions are taken according to its output. The statement is true or false?	[ "True", "False" ]	True
Observation impacts all sub-policy φ. The statement is true or false?	[ "True", "False" ]	True
In the diagram, φ3 is the active sub-policy, and actions are taken according to its input.True or False?	[ "True", "False" ]	False
Observation impacts only one sub-policy φ.True or False?	[ "True", "False" ]	False
Four layers including one multi-head attention layer, one dense layer with two add & normalization layers form a self-attention block. The statement is true or false?	[ "True", "False" ]	True
After positional encoding, the model passes input data through 3 self-attention blocks and outputs the stress estimation result. The statement is true or false?	[ "True", "False" ]	True
Four layers including one multi-head attention layer, two dense layer with one add & normalization layers form a self-attention block.True or False?	[ "True", "False" ]	False
After positional encoding, the model passes input data through 1 self-attention block and outputs the stress estimation result.True or False?	[ "True", "False" ]	False
The features are then fed to a regression network (green) which outputs the phase corruption model parameters, which in this case are the coefficients of ten-degree polynomial modeling the phase error. The statement is true or false?	[ "True", "False" ]	True
Finally, the relative improvement in sharpness between the input and output magnitude images is measured and weights are backpropagated to minimize this quantity (recall minimization of this term equates to maximisation of relative image sharpness, see Eq 8). The statement is true or false?	[ "True", "False" ]	True
The network inputs a single-look complex (SLC) image, ge, which is dynamic range compressed (DRC) and passed into a feature extraction network (blue) along with the SLC’s phase. The statement is true or false?	[ "True", "False" ]	True
The features are then fed to a regression network (blue) which outputs the phase corruption model parameters, which in this case are the coefficients of ten-degree polynomial modeling the phase error.True or False?	[ "True", "False" ]	False
Finally, the relative improvement in noise between the input and output magnitude images is measured and weights are backpropagated to minimize this quantity (recall minimization of this term equates to maximisation of relative image sharpness, see Eq 8).True or False?	[ "True", "False" ]	False
Videos are input into Candidate generator and then ranking. The statement is true or false?	[ "True", "False" ]	True
Video topic scores are input into value model. The statement is true or false?	[ "True", "False" ]	True
Videos are input into video level classifier and then ranking.True or False?	[ "True", "False" ]	False
Video level scores are input into value model.True or False?	[ "True", "False" ]	False
The orange arrows indicate the distillation of knowledge from the mixture prediction to the predictions of sub-models. The statement is true or false?	[ "True", "False" ]	True
Frame-level data is sent to 3 NeXtVLAD models. The statement is true or false?	[ "True", "False" ]	True
The orange arrows indicate the distillation of knowledge from the gate to the predictions of sub-models.True or False?	[ "True", "False" ]	False
Frame-level data is sent to 2 NeXtVLAD models.True or False?	[ "True", "False" ]	False
Clooney is one of the Freebase entities. The statement is true or false?	[ "True", "False" ]	True
Embedding of the question and the embedding of the subgraph are used for calculating dot product. The statement is true or false?	[ "True", "False" ]	True
Clooney is not a Freebase entity.True or False?	[ "True", "False" ]	False
Embedding of the question and the binary enoding of the subgraph are used for calculating dot product.True or False?	[ "True", "False" ]	False
There are 6 CNN. The statement is true or false?	[ "True", "False" ]	True

Assignment probability is not used for stopping rules.True or False?

[ "True", "False" ]

False

Assignment Probability is not displayed to users.True or False?

[ "True", "False" ]

False

Encoded scene is shifted using prism. The statement is true or false?

[ "True", "False" ]

True

Scene is encoded using coded aperture. The statement is true or false?

[ "True", "False" ]

True

Encoded scene is not shifted using prism.True or False?

[ "True", "False" ]

False

Scene is encoded using prism.True or False?

[ "True", "False" ]

False

FC is performed after average pooling. The statement is true or false?

[ "True", "False" ]

True

ST contains 3 linear layers. The statement is true or false?

[ "True", "False" ]

True

FC is performed before average pooling.True or False?

[ "True", "False" ]

False

ST contains 2 linear layers.True or False?

[ "True", "False" ]

False

There are three states in total: healthy, cognitive impairment and death. The statement is true or false?

[ "True", "False" ]

True

State 0 is healthy. The statement is true or false?

[ "True", "False" ]

True

There are four states in total: healthy, cognitive impairment, cancer and death.True or False?

[ "True", "False" ]

False

State 0 is death.True or False?

[ "True", "False" ]

False

YAG pump laster emits green dotted lines. The statement is true or false?

[ "True", "False" ]

True

Diode laster emits red solid line. The statement is true or false?

[ "True", "False" ]

True

YAG pump laster emits red dotted lines.True or False?

[ "True", "False" ]

False

Diode laster emits red dotted line.True or False?

[ "True", "False" ]

False

Data cleaning and preprocessing is in Sec. The statement is true or false?

[ "True", "False" ]

True

Train individual forecasting models after holiday adjustment procedure. The statement is true or false?

[ "True", "False" ]

True

Data cleaning and preprocessing is in Sec.True or False?

[ "True", "False" ]

False

Train individual forecasting models before holiday adjustment procedure.True or False?

[ "True", "False" ]

False

Residual reduction module contains multiple conv1d. The statement is true or false?

[ "True", "False" ]

True

The output of SE Block is multiplied with the input of SE Block. The statement is true or false?

[ "True", "False" ]

True

residual reduction module contains single conv1d.True or False?

[ "True", "False" ]

False

The output of SE Block is concatenated with the input of SE Block.True or False?

[ "True", "False" ]

False

In training stage, pretrained teacher model is used for extracting dark knowledge. The statement is true or false?

[ "True", "False" ]

True

Clean image is being input to adversarial example optimizer. The statement is true or false?

[ "True", "False" ]

True

In training stage, DNN Optimizer is used for extracting dark knowledge.True or False?

[ "True", "False" ]

False

Clean image is an output of the adversarial example optimizer.True or False?

[ "True", "False" ]

False

’ the tokens ‘speak’ and ‘nervous’ were sampled to be masked. The statement is true or false?

[ "True", "False" ]

True

‘speak’ is replaced by the ‘[MASK]’ token and ‘nervous’ is replaced by the random token ‘that’. The statement is true or false?

[ "True", "False" ]

True

the token 'starts' and 'crowd' were sampled to be masked.True or False?

[ "True", "False" ]

False

'speak’ is replaced by the ‘’ token and ‘nervous’ is replaced by the random token ‘watch’.True or False?

[ "True", "False" ]

False

Fig 2: Fully connected convolutional neural network with four hidden layers. The statement is true or false?

[ "True", "False" ]

True

Input layer is at the left. The statement is true or false?

[ "True", "False" ]

True

Fully connected convolutional neural network with 3 hidden layers.True or False?

[ "True", "False" ]

False

Input layer is at the right.True or False?

[ "True", "False" ]

False

There are K hidden layers. The statement is true or false?

[ "True", "False" ]

True

Pd is the input. The statement is true or false?

[ "True", "False" ]

True

There are 3 hidden layers.True or False?

[ "True", "False" ]

False

Pg is the input.True or False?

[ "True", "False" ]

False

Figure 2: The final segmentation volume is generated by taking into account activations from three FCNNs specialized on each 2D orientation. The statement is true or false?

[ "True", "False" ]

True

Full slices are used in prediction time, but training uses patches. The statement is true or false?

[ "True", "False" ]

True

The final segmentation volume is generated by taking into account activations from one UNet specialized on axial orientation.True or False?

[ "True", "False" ]

False

Patches are used in prediction and training.True or False?

[ "True", "False" ]

False

There are two fully connected layers at the end. The statement is true or false?

[ "True", "False" ]

True

Softmax is in the architecture. The statement is true or false?

[ "True", "False" ]

True

There are three fully connected layers at the end.True or False?

[ "True", "False" ]

False

Softmax is absence from the architecture.True or False?

[ "True", "False" ]

False

Adaptation is done before accumulation. The statement is true or false?

[ "True", "False" ]

True

Advection is done for 3 times. The statement is true or false?

[ "True", "False" ]

True

Adaptation is done before accumulation.True or False?

[ "True", "False" ]

False

Advection is done for 2 times.True or False?

[ "True", "False" ]

False

In this illustration, every measurement in the first n − 1 rounds is a 4-outcome POVM, where one outcome leads directly to guess SEP, and 3 outcomes continue with the measurement process. The statement is true or false?

[ "True", "False" ]

True

There are n rounds. The statement is true or false?

[ "True", "False" ]

True

In this illustration, every measurement in the first n − 1 rounds is a 5-outcome POVM, where one outcome leads directly to guess SEP, and 4 outcomes continue with the measurement process.True or False?

[ "True", "False" ]

False

There are only two rounds.True or False?

[ "True", "False" ]

False

Both constraints are violated. The statement is true or false?

[ "True", "False" ]

True

Test case indicates cpu. The statement is true or false?

[ "True", "False" ]

True

Both constraints are not violated.True or False?

[ "True", "False" ]

False

Test case indicates gpu.True or False?

[ "True", "False" ]

False

Pre-training starts before fine-tuning. The statement is true or false?

[ "True", "False" ]

True

AP is a critical criterial to determine whether continue training. The statement is true or false?

[ "True", "False" ]

True

Pre-training starts after fine-tuning.True or False?

[ "True", "False" ]

False

AP is not a critical criterial to determine whether continue training.True or False?

[ "True", "False" ]

False

Schematic illustration of a machine-learning-integrated closed-loop process to optimize thin film fabrication parameters [13] The statement is true or false?

[ "True", "False" ]

True

Evaluation results are sent to machine learning. The statement is true or false?

[ "True", "False" ]

True

Schematic illustration of a machine-learning-integrated closed-loop process to optimize thick film fabrication parameters.True or False?

[ "True", "False" ]

False

Evaluation results are sent from machine learning.True or False?

[ "True", "False" ]

False

Short network features output is concatenated with long interval actigraphy features. The statement is true or false?

[ "True", "False" ]

True

SiLU is used as activation. The statement is true or false?

[ "True", "False" ]

True

Short network features output is concatenated with mood state features.True or False?

[ "True", "False" ]

False

ReLU is used as activation.True or False?

[ "True", "False" ]

False

In the diagram, φ3 is the active sub-policy, and actions are taken according to its output. The statement is true or false?

[ "True", "False" ]

True

Observation impacts all sub-policy φ. The statement is true or false?

[ "True", "False" ]

True

In the diagram, φ3 is the active sub-policy, and actions are taken according to its input.True or False?

[ "True", "False" ]

False

Observation impacts only one sub-policy φ.True or False?

[ "True", "False" ]

False

Four layers including one multi-head attention layer, one dense layer with two add & normalization layers form a self-attention block. The statement is true or false?

[ "True", "False" ]

True

After positional encoding, the model passes input data through 3 self-attention blocks and outputs the stress estimation result. The statement is true or false?

[ "True", "False" ]

True

Four layers including one multi-head attention layer, two dense layer with one add & normalization layers form a self-attention block.True or False?

[ "True", "False" ]

False

After positional encoding, the model passes input data through 1 self-attention block and outputs the stress estimation result.True or False?

[ "True", "False" ]

False

The features are then fed to a regression network (green) which outputs the phase corruption model parameters, which in this case are the coefficients of ten-degree polynomial modeling the phase error. The statement is true or false?

[ "True", "False" ]

True

Finally, the relative improvement in sharpness between the input and output magnitude images is measured and weights are backpropagated to minimize this quantity (recall minimization of this term equates to maximisation of relative image sharpness, see Eq 8). The statement is true or false?

[ "True", "False" ]

True

The network inputs a single-look complex (SLC) image, ge, which is dynamic range compressed (DRC) and passed into a feature extraction network (blue) along with the SLC’s phase. The statement is true or false?

[ "True", "False" ]

True

The features are then fed to a regression network (blue) which outputs the phase corruption model parameters, which in this case are the coefficients of ten-degree polynomial modeling the phase error.True or False?

[ "True", "False" ]

False

Finally, the relative improvement in noise between the input and output magnitude images is measured and weights are backpropagated to minimize this quantity (recall minimization of this term equates to maximisation of relative image sharpness, see Eq 8).True or False?

[ "True", "False" ]

False

Videos are input into Candidate generator and then ranking. The statement is true or false?

[ "True", "False" ]

True

Video topic scores are input into value model. The statement is true or false?

[ "True", "False" ]

True

Videos are input into video level classifier and then ranking.True or False?

[ "True", "False" ]

False

Video level scores are input into value model.True or False?

[ "True", "False" ]

False

The orange arrows indicate the distillation of knowledge from the mixture prediction to the predictions of sub-models. The statement is true or false?

[ "True", "False" ]

True