References:
QDMR-high-level
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:break_data/QDMR-high-level')
- Description:
Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations
(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases.
This repository contains the Break dataset along with information on the exact data format.
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
3195 |
'train' |
17503 |
'validation' |
3130 |
- Features:
{
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"decomposition": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"operators": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"split": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
QDMR-high-level-lexicon
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:break_data/QDMR-high-level-lexicon')
- Description:
Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations
(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases.
This repository contains the Break dataset along with information on the exact data format.
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
3195 |
'train' |
17503 |
'validation' |
3130 |
- Features:
{
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"allowed_tokens": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
QDMR
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:break_data/QDMR')
- Description:
Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations
(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases.
This repository contains the Break dataset along with information on the exact data format.
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
8069 |
'train' |
44321 |
'validation' |
7760 |
- Features:
{
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"decomposition": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"operators": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"split": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
QDMR-lexicon
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:break_data/QDMR-lexicon')
- Description:
Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations
(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases.
This repository contains the Break dataset along with information on the exact data format.
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
8069 |
'train' |
44321 |
'validation' |
7760 |
- Features:
{
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"allowed_tokens": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
logical-forms
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:break_data/logical-forms')
- Description:
Break is a human annotated dataset of natural language questions and their Question Decomposition Meaning Representations
(QDMRs). Break consists of 83,978 examples sampled from 10 question answering datasets over text, images and databases.
This repository contains the Break dataset along with information on the exact data format.
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
8006 |
'train' |
44098 |
'validation' |
7719 |
- Features:
{
"question_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"decomposition": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"operators": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"split": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"program": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}