References:
mcd1
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:cfq/mcd1')
- Description:
The CFQ dataset (and it's splits) for measuring compositional generalization.
See https://arxiv.org/abs/1912.09713.pdf for background.
Example usage:
data = datasets.load_dataset('cfq/mcd1')
- License: No known license
- Version: 1.0.1
- Splits:
Split | Examples |
---|---|
'test' |
11968 |
'train' |
95743 |
- Features:
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
mcd2
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:cfq/mcd2')
- Description:
The CFQ dataset (and it's splits) for measuring compositional generalization.
See https://arxiv.org/abs/1912.09713.pdf for background.
Example usage:
data = datasets.load_dataset('cfq/mcd1')
- License: No known license
- Version: 1.0.1
- Splits:
Split | Examples |
---|---|
'test' |
11968 |
'train' |
95743 |
- Features:
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
mcd3
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:cfq/mcd3')
- Description:
The CFQ dataset (and it's splits) for measuring compositional generalization.
See https://arxiv.org/abs/1912.09713.pdf for background.
Example usage:
data = datasets.load_dataset('cfq/mcd1')
- License: No known license
- Version: 1.0.1
- Splits:
Split | Examples |
---|---|
'test' |
11968 |
'train' |
95743 |
- Features:
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
question_complexity_split
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:cfq/question_complexity_split')
- Description:
The CFQ dataset (and it's splits) for measuring compositional generalization.
See https://arxiv.org/abs/1912.09713.pdf for background.
Example usage:
data = datasets.load_dataset('cfq/mcd1')
- License: No known license
- Version: 1.0.1
- Splits:
Split | Examples |
---|---|
'test' |
10340 |
'train' |
98999 |
- Features:
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
question_pattern_split
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:cfq/question_pattern_split')
- Description:
The CFQ dataset (and it's splits) for measuring compositional generalization.
See https://arxiv.org/abs/1912.09713.pdf for background.
Example usage:
data = datasets.load_dataset('cfq/mcd1')
- License: No known license
- Version: 1.0.1
- Splits:
Split | Examples |
---|---|
'test' |
11909 |
'train' |
95654 |
- Features:
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
query_complexity_split
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:cfq/query_complexity_split')
- Description:
The CFQ dataset (and it's splits) for measuring compositional generalization.
See https://arxiv.org/abs/1912.09713.pdf for background.
Example usage:
data = datasets.load_dataset('cfq/mcd1')
- License: No known license
- Version: 1.0.1
- Splits:
Split | Examples |
---|---|
'test' |
9512 |
'train' |
100654 |
- Features:
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
query_pattern_split
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:cfq/query_pattern_split')
- Description:
The CFQ dataset (and it's splits) for measuring compositional generalization.
See https://arxiv.org/abs/1912.09713.pdf for background.
Example usage:
data = datasets.load_dataset('cfq/mcd1')
- License: No known license
- Version: 1.0.1
- Splits:
Split | Examples |
---|---|
'test' |
12589 |
'train' |
94600 |
- Features:
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
random_split
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:cfq/random_split')
- Description:
The CFQ dataset (and it's splits) for measuring compositional generalization.
See https://arxiv.org/abs/1912.09713.pdf for background.
Example usage:
data = datasets.load_dataset('cfq/mcd1')
- License: No known license
- Version: 1.0.1
- Splits:
Split | Examples |
---|---|
'test' |
11967 |
'train' |
95744 |
- Features:
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}