README.md

metadata

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 Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: Grail QA
• Repository:
• Paper: GrailQA paper (Gu et al. '20)
• 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 for adding this dataset.