Datasets:
grail_qa

	---
	annotations_creators:
	- crowdsourced
	language_creators:
	- found
	language:
	- en
	license:
	- unknown
	multilinguality:
	- monolingual
	size_categories:
	- 10K<n<100K
	source_datasets:
	- original
	task_categories:
	- question-answering
	task_ids: []
	paperswithcode_id: null
	pretty_name: Grail QA
	tags:
	- knowledge-base-qa
	dataset_info:
	features:
	- name: qid
	dtype: string
	- name: question
	dtype: string
	- name: answer
	sequence:
	- name: answer_type
	dtype: string
	- name: answer_argument
	dtype: string
	- name: entity_name
	dtype: string
	- name: function
	dtype: string
	- name: num_node
	dtype: int32
	- name: num_edge
	dtype: int32
	- name: graph_query
	struct:
	- name: nodes
	sequence:
	- name: nid
	dtype: int32
	- name: node_type
	dtype: string
	- name: id
	dtype: string
	- name: class
	dtype: string
	- name: friendly_name
	dtype: string
	- name: question_node
	dtype: int32
	- name: function
	dtype: string
	- name: edges
	sequence:
	- name: start
	dtype: int32
	- name: end
	dtype: int32
	- name: relation
	dtype: string
	- name: friendly_name
	dtype: string
	- name: sparql_query
	dtype: string
	- name: domains
	sequence: string
	- name: level
	dtype: string
	- name: s_expression
	dtype: string
	splits:
	- name: train
	num_bytes: 69433121
	num_examples: 44337
	- name: validation
	num_bytes: 9800544
	num_examples: 6763
	- name: test
	num_bytes: 2167256
	num_examples: 13231
	download_size: 17636773
	dataset_size: 81400921
	---

	# Dataset Card for Grail QA

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: [Grail QA](https://dki-lab.github.io/GrailQA/)
	- Repository:
	- Paper: [GrailQA paper (Gu et al. '20)](https://arxiv.org/abs/2011.07743)
	- Leaderboard:
	- Point of Contact:

	### Dataset Summary

	#### What is GrailQA?

	Strongly Generalizable Question Answering (GrailQA) is a new large-scale, high-quality dataset for question answering on knowledge bases (KBQA) on Freebase with 64,331 questions annotated with both answers and corresponding logical forms in different syntax (i.e., SPARQL, S-expression, etc.). It can be used to test three levels of generalization in KBQA: i.i.d., compositional, and zero-shot.

	#### Why GrailQA?

	GrailQA is by far the largest crowdsourced KBQA dataset with questions of high diversity (i.e., questions in GrailQA can have up to 4 relations and optionally have a function from counting, superlatives and comparatives). It also has the highest coverage over Freebase; it widely covers 3,720 relations and 86 domains from Freebase. Last but not least, our meticulous data split allows GrailQA to test not only i.i.d. generalization, but also compositional generalization and zero-shot generalization, which are critical for practical KBQA systems.

	### Supported Tasks and Leaderboards

	[More Information Needed]

	### Languages

	English and Graph query

	## Dataset Structure

	### Data Instances

	[More Information Needed]

	### Data Fields

	- `qid` (`str`)
	- `question` (`str`)
	- `answer` (`List`): Defaults to `[]` in test split.
	- `answer_type` (`str`)
	- `answer_argument` (`str`)
	- `entity_name` (`str`): Defauts to `""` if `answer_type` is not `Entity`.
	- `function` (`string`): Defaults to `""` in test split.
	- `num_node` (`int`): Defaults to `-1` in test split.
	- `num_edge` (`int`): Defaults to `-1` in test split.
	- `graph_query` (`Dict`)
	- `nodes` (`List`): Defaults to `[]` in test split.
	- `nid` (`int`)
	- `node_type` (`str`)
	- `id` (`str`)
	- `class` (`str`)
	- `friendly_name` (`str`)
	- `question_node` (`int`)
	- `function` (`str`)
	- `edges` (`List`): Defaults to `[]` in test split.
	- `start` (`int`)
	- `end` (`int`)
	- `relation` (`str`)
	- `friendly_name` (`str`)
	- `sqarql_query` (`str`): Defaults to `""` in test split.
	- `domains` (`List[str]`): Defaults to `[]` in test split.
	- `level` (`str`): Only available in validation split. Defaults to `""` in others.
	- `s_expression` (`str`): Defaults to `""` in test split.

	Notes: Only `qid` and `question` available in test split.

	### Data Splits

	Dataset Split \| Number of Instances in Split
	--------------\|--------------------------------------------
	Train \| 44,337
	Validation \| 6,763
	Test \| 13,231

	## Dataset Creation

	### Curation Rationale

	[More Information Needed]

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed]

	#### Who are the source language producers?

	[More Information Needed]

	### Annotations

	#### Annotation process

	[More Information Needed]

	#### Who are the annotators?

	[More Information Needed]

	### Personal and Sensitive Information

	[More Information Needed]

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed]

	### Discussion of Biases

	[More Information Needed]

	### Other Known Limitations

	[More Information Needed]

	## Additional Information

	### Dataset Curators

	[More Information Needed]

	### Licensing Information

	[More Information Needed]

	### Citation Information

	[More Information Needed]

	### Contributions

	Thanks to [@mattbui](https://github.com/mattbui) for adding this dataset.