File size: 7,231 Bytes
8df2e5e ad2a5cf ff031e8 28fa00a ad2a5cf a46c5aa ad2a5cf a46c5aa ad2a5cf a46c5aa ad2030a 66cf28c ad2030a 8df2e5e 8ba1fda 8df2e5e 97318a9 8df2e5e 97318a9 8df2e5e 0f3fcb4 8df2e5e ad2a5cf 4f638d3 8df2e5e 0f3fcb4 8df2e5e 97318a9 8df2e5e 0f3fcb4 8df2e5e 0f3fcb4 8df2e5e 0f3fcb4 8df2e5e 4f638d3 8df2e5e 0f3fcb4 8df2e5e 97318a9 8df2e5e 0f3fcb4 8df2e5e 0f3fcb4 8df2e5e 0f3fcb4 8df2e5e 97318a9 8df2e5e 0f3fcb4 8df2e5e 97318a9 8df2e5e 0f3fcb4 8df2e5e 0f3fcb4 8df2e5e 0f3fcb4 8df2e5e 0f3fcb4 8df2e5e 0f3fcb4 8df2e5e 0f3fcb4 8df2e5e 0f3fcb4 8df2e5e 0f3fcb4 8df2e5e ad2a5cf 8df2e5e 0f3fcb4 8df2e5e ad2a5cf 8df2e5e a46c5aa |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 |
---
annotations_creators:
- crowdsourced
language:
- en
language_creators:
- found
license:
- cc-by-3.0
multilinguality:
- monolingual
pretty_name: 'LC-QuAD 2.0: Large-scale Complex Question Answering Dataset'
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- question-answering
task_ids: []
paperswithcode_id: lc-quad-2-0
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
---
# 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:[email protected]) or [Mohnish Dubey](mailto:[email protected])
- **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. |