task_categories:question-answering task_ids:open-domain-qa annotations_creators:machine-generated language_creators:found multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:en license:cc-by-3.0 region:us
SimpleQuestions is a dataset for simple QA, which consists
of a total of 108,442 questions written in natural language by human
English-speaking annotators each paired with a corresponding fact,
formatted as (subject, relationship, object), that provides the answer
but also a complete explanation.  Fast have been extracted from the
Knowledge Base Freebase (freebase.com).  We randomly shuffle these
questions and use 70% of them (75910) as training set, 10% as
validation set (10845), and the remaining 20% as test set.
@misc{bordes2015largescale,
      title={Large-scale Simple Question Answering with Memory Networks},
      author={Antoine Bordes and Nicolas Usunier and Sumit Chopra and Jason Weston},
      year={2015},
      eprint={1506.02075},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}
---
annotations_creators:
- machine-generated
language_creators:
- found
language:
- en
license:
- cc-by-3.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- question-answering
task_ids:
- open-domain-qa
paperswithcode_id: simplequestions
pretty_name: SimpleQuestions
dataset_info:
- config_name: annotated
  features:
  - name: id
    dtype: string
  - name: subject_entity
    dtype: string
  - name: relationship
    dtype: string
  - name: object_entity
    dtype: string
  - name: question
    dtype: string
  splits:
  - name: train
    num_bytes: 12376039
    num_examples: 75910
  - name: validation
    num_bytes: 12376039
    num_examples: 75910
  - name: test
    num_bytes: 12376039
    num_examples: 75910
  download_size: 423435590
  dataset_size: 37128117
- config_name: freebase2m
  features:
  - name: id
    dtype: string
  - name: subject_entity
    dtype: string
  - name: relationship
    dtype: string
  - name: object_entities
    sequence: string
  splits:
  - name: train
    num_bytes: 1964037256
    num_examples: 10843106
  download_size: 423435590
  dataset_size: 1964037256
- config_name: freebase5m
  features:
  - name: id
    dtype: string
  - name: subject_entity
    dtype: string
  - name: relationship
    dtype: string
  - name: object_entities
    sequence: string
  splits:
  - name: train
    num_bytes: 2481753516
    num_examples: 12010500
  download_size: 423435590
  dataset_size: 2481753516
---

# Dataset Card for SimpleQuestions

## 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:** https://research.fb.com/downloads/babi/
- **Repository:** https://github.com/fbougares/TSAC
- **Paper:** https://research.fb.com/publications/large-scale-simple-question-answering-with-memory-networks/
- **Leaderboard:** [If the dataset supports an active leaderboard, add link here]()
- **Point of Contact:** [Antoine Borde](abordes@fb.com) [Nicolas Usunie](usunier@fb.com) [Sumit Chopra](spchopra@fb.com), [Jason Weston](jase@fb.com)

### Dataset Summary

[More Information Needed]

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

Here are some examples of questions and facts:

* What American cartoonist is the creator of Andy Lippincott?
  Fact: (andy_lippincott, character_created_by, garry_trudeau) 
* Which forest is Fires Creek in?
  Fact: (fires_creek, containedby, nantahala_national_forest)
* What does Jimmy Neutron do?
  Fact: (jimmy_neutron, fictional_character_occupation, inventor)
* What dietary restriction is incompatible with kimchi?
  Fact: (kimchi, incompatible_with_dietary_restrictions, veganism)

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]
## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

[More Information Needed]

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

[More Information Needed]

#### 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 [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset.