
# Dataset Card for LC-QuAD 2.0

## 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:** [http://lc-quad.sda.tech/](http://lc-quad.sda.tech/)
- **Repository:** https://github.com/AskNowQA/LC-QuAD2.0
- **Paper:** [LC-QuAD 2.0: A Large Dataset for Complex Question Answering over Wikidata and DBpedia](https://api.semanticscholar.org/CorpusID:198166992)
- **Point of Contact:** [Mohnish Dubey](mailto:dubey@cs.uni-bonn.de) or [Mohnish Dubey](mailto:dubey.mohnish5@gmail.com)
- **Size of downloaded dataset files:** 3.87 MB
- **Size of the generated dataset:** 20.73 MB
- **Total amount of disk used:** 24.60 MB

### Dataset Summary

LC-QuAD 2.0 is a Large Question Answering dataset with 30,000 pairs of question and its corresponding SPARQL query. The target knowledge base is Wikidata and DBpedia, specifically the 2018 version. Please see our paper for details about the dataset creation process and framework.

### Supported Tasks and Leaderboards

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Dataset Structure

### Data Instances

#### default

- **Size of downloaded dataset files:** 3.87 MB
- **Size of the generated dataset:** 20.73 MB
- **Total amount of disk used:** 24.60 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "NNQT_question": "What is the {periodical literature} for {mouthpiece} of {Delta Air Lines}",
    "paraphrased_question": "What is Delta Air Line's periodical literature mouthpiece?",
    "question": "What periodical literature does Delta Air Lines use as a moutpiece?",
    "sparql_dbpedia18": "\"select distinct ?obj where { ?statement <http://www.w3.org/1999/02/22-rdf-syntax-ns#subject> <http://wikidata.dbpedia.org/resou...",
    "sparql_wikidata": " select distinct ?obj where { wd:Q188920 wdt:P2813 ?obj . ?obj wdt:P31 wd:Q1002697 } ",
    "subgraph": "simple question right",
    "template": " <S P ?O ; ?O instanceOf Type>",
    "template_index": 65,
    "uid": 19719
}
```

### Data Fields

The data fields are the same among all splits.

#### default
- `NNQT_question`: a `string` feature.
- `uid`: a `int32` feature.
- `subgraph`: a `string` feature.
- `template_index`: a `int32` feature.
- `question`: a `string` feature.
- `sparql_wikidata`: a `string` feature.
- `sparql_dbpedia18`: a `string` feature.
- `template`: a `string` feature.
- `paraphrased_question`: a `string` feature.

### Data Splits

| name  |train|test|
|-------|----:|---:|
|default|19293|4781|

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

LC-QuAD 2.0 is licensed under a [Creative Commons Attribution 3.0 Unported License](http://creativecommons.org/licenses/by/3.0/deed.en_US). 

### Citation Information

```
@inproceedings{dubey2017lc2,
   title={LC-QuAD 2.0: A Large Dataset for Complex Question Answering over Wikidata and DBpedia},
   author={Dubey, Mohnish and Banerjee, Debayan and Abdelkawi, Abdelrahman and Lehmann, Jens},
   booktitle={Proceedings of the 18th International Semantic Web Conference (ISWC)},
   year={2019},
   organization={Springer}
}
```


### Contributions

Thanks to [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.
task_categories:question-answering annotations_creators:crowdsourced language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:en license:cc-by-3.0 knowledge-base-qa region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-3.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": [], "paperswithcode_id": "lc-quad-2-0", "pretty_name": "LC-QuAD 2.0: Large-scale Complex Question Answering Dataset", "tags": ["knowledge-base-qa"], "dataset_info": {"features": [{"name": "NNQT_question", "dtype": "string"}, {"name": "uid", "dtype": "int32"}, {"name": "subgraph", "dtype": "string"}, {"name": "template_index", "dtype": "int32"}, {"name": "question", "dtype": "string"}, {"name": "sparql_wikidata", "dtype": "string"}, {"name": "sparql_dbpedia18", "dtype": "string"}, {"name": "template", "dtype": "string"}, {"name": "paraphrased_question", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 16637751, "num_examples": 19293}, {"name": "test", "num_bytes": 4067092, "num_examples": 4781}], "download_size": 3959901, "dataset_size": 20704843}}
TAGS
#task_categories-question-answering #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-3.0 #knowledge-base-qa #region-us 

Dataset Card for LC-QuAD 2.0
============================


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: URL
* Repository: URL
* Paper: LC-QuAD 2.0: A Large Dataset for Complex Question Answering over Wikidata and DBpedia
* Point of Contact: Mohnish Dubey or Mohnish Dubey
* Size of downloaded dataset files: 3.87 MB
* Size of the generated dataset: 20.73 MB
* Total amount of disk used: 24.60 MB


### Dataset Summary


LC-QuAD 2.0 is a Large Question Answering dataset with 30,000 pairs of question and its corresponding SPARQL query. The target knowledge base is Wikidata and DBpedia, specifically the 2018 version. Please see our paper for details about the dataset creation process and framework.


### Supported Tasks and Leaderboards


### Languages


Dataset Structure
-----------------


### Data Instances


#### default


* Size of downloaded dataset files: 3.87 MB
* Size of the generated dataset: 20.73 MB
* Total amount of disk used: 24.60 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### default


* 'NNQT\_question': a 'string' feature.
* 'uid': a 'int32' feature.
* 'subgraph': a 'string' feature.
* 'template\_index': a 'int32' feature.
* 'question': a 'string' feature.
* 'sparql\_wikidata': a 'string' feature.
* 'sparql\_dbpedia18': a 'string' feature.
* 'template': a 'string' feature.
* 'paraphrased\_question': a 'string' feature.


### Data Splits



Dataset Creation
----------------


### Curation Rationale


### Source Data


#### Initial Data Collection and Normalization


#### Who are the source language producers?


### Annotations


#### Annotation process


#### Who are the annotators?


### 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


LC-QuAD 2.0 is licensed under a Creative Commons Attribution 3.0 Unported License.


### Contributions


Thanks to @lewtun, @thomwolf, @patrickvonplaten for adding this dataset.



### Dataset Summary


LC-QuAD 2.0 is a Large Question Answering dataset with 30,000 pairs of question and its corresponding SPARQL query. The target knowledge base is Wikidata and DBpedia, specifically the 2018 version. Please see our paper for details about the dataset creation process and framework. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### default


* Size of downloaded dataset files: 3.87 MB
* Size of the generated dataset: 20.73 MB
* Total amount of disk used: 24.60 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### default


* 'NNQT\_question': a 'string' feature.
* 'uid': a 'int32' feature.
* 'subgraph': a 'string' feature.
* 'template\_index': a 'int32' feature.
* 'question': a 'string' feature.
* 'sparql\_wikidata': a 'string' feature.
* 'sparql\_dbpedia18': a 'string' feature.
* 'template': a 'string' feature.
* 'paraphrased\_question': a 'string' feature. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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


LC-QuAD 2.0 is licensed under a Creative Commons Attribution 3.0 Unported License. ### Contributions


Thanks to @lewtun, @thomwolf, @patrickvonplaten for adding this dataset.
TAGS
#task_categories-question-answering #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-3.0 #knowledge-base-qa #region-us 
 ### Dataset Summary


LC-QuAD 2.0 is a Large Question Answering dataset with 30,000 pairs of question and its corresponding SPARQL query. The target knowledge base is Wikidata and DBpedia, specifically the 2018 version. Please see our paper for details about the dataset creation process and framework. ### Supported Tasks and Leaderboards ### Languages


Dataset Structure
----------------- ### Data Instances #### default


* Size of downloaded dataset files: 3.87 MB
* Size of the generated dataset: 20.73 MB
* Total amount of disk used: 24.60 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### default


* 'NNQT\_question': a 'string' feature.
* 'uid': a 'int32' feature.
* 'subgraph': a 'string' feature.
* 'template\_index': a 'int32' feature.
* 'question': a 'string' feature.
* 'sparql\_wikidata': a 'string' feature.
* 'sparql\_dbpedia18': a 'string' feature.
* 'template': a 'string' feature.
* 'paraphrased\_question': a 'string' feature. ### Data Splits



Dataset Creation
---------------- ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### 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


LC-QuAD 2.0 is licensed under a Creative Commons Attribution 3.0 Unported License. ### Contributions


Thanks to @lewtun, @thomwolf, @patrickvonplaten for adding this dataset.
passage: TAGS
#task_categories-question-answering #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-3.0 #knowledge-base-qa #region-us 
### Dataset Summary


LC-QuAD 2.0 is a Large Question Answering dataset with 30,000 pairs of question and its corresponding SPARQL query. The target knowledge base is Wikidata and DBpedia, specifically the 2018 version. Please see our paper for details about the dataset creation process and framework.### Supported Tasks and Leaderboards### Languages


Dataset Structure
-----------------### Data Instances#### default


* Size of downloaded dataset files: 3.87 MB
* Size of the generated dataset: 20.73 MB
* Total amount of disk used: 24.60 MB


An example of 'train' looks as follows.### Data Fields


The data fields are the same among all splits.#### default


* 'NNQT\_question': a 'string' feature.
* 'uid': a 'int32' feature.
* 'subgraph': a 'string' feature.
* 'template\_index': a 'int32' feature.
* 'question': a 'string' feature.
* 'sparql\_wikidata': a 'string' feature.
* 'sparql\_dbpedia18': a 'string' feature.
* 'template': a 'string' feature.
* 'paraphrased\_question': a 'string' feature.### Data Splits



Dataset Creation
----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information


Considerations for Using the Data
---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations


Additional Information
----------------------### Dataset Curators