Datasets:

Languages:
English
Multilinguality:
monolingual
Size Categories:
10K<n<100K
Language Creators:
found
Annotations Creators:
crowdsourced
Source Datasets:
original
Tags:
knowledge-base-qa
License:
albertvillanova HF staff commited on
Commit
ad2a5cf
1 Parent(s): ff031e8

Fix missing tags in dataset cards (#4896)

Browse files

Commit from https://github.com/huggingface/datasets/commit/7447bf91775d94809b2313eea56c6e33bae66092

Files changed (1) hide show
  1. README.md +26 -12
README.md CHANGED
@@ -1,8 +1,24 @@
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  ---
 
 
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  language:
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  - en
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- paperswithcode_id: lc-quad-2-0
 
 
 
 
 
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  pretty_name: "LC-QuAD 2.0: Large-scale Complex Question Answering Dataset"
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for LC-QuAD 2.0
@@ -34,9 +50,9 @@ pretty_name: "LC-QuAD 2.0: Large-scale Complex Question Answering Dataset"
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  ## Dataset Description
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  - **Homepage:** [http://lc-quad.sda.tech/](http://lc-quad.sda.tech/)
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- - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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- - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  - **Size of downloaded dataset files:** 3.69 MB
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  - **Size of the generated dataset:** 19.77 MB
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  - **Total amount of disk used:** 23.46 MB
@@ -153,20 +169,18 @@ The data fields are the same among all splits.
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  ### Licensing Information
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- [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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  ### Citation Information
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  ```
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-
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  @inproceedings{dubey2017lc2,
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- title={LC-QuAD 2.0: A Large Dataset for Complex Question Answering over Wikidata and DBpedia},
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- author={Dubey, Mohnish and Banerjee, Debayan and Abdelkawi, Abdelrahman and Lehmann, Jens},
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- booktitle={Proceedings of the 18th International Semantic Web Conference (ISWC)},
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- year={2019},
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- organization={Springer}
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  }
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-
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  ```
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  ---
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+ annotations_creators:
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+ - crowdsourced
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  language:
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  - en
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+ language_creators:
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+ - found
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+ license:
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+ - cc-by-3.0
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+ multilinguality:
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+ - monolingual
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  pretty_name: "LC-QuAD 2.0: Large-scale Complex Question Answering Dataset"
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - question-answering
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+ task_ids:
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+ - question-answering-other-knowledge-base-qa
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+ paperswithcode_id: lc-quad-2-0
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  ---
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  # Dataset Card for LC-QuAD 2.0
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  ## Dataset Description
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  - **Homepage:** [http://lc-quad.sda.tech/](http://lc-quad.sda.tech/)
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+ - **Repository:** https://github.com/AskNowQA/LC-QuAD2.0
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+ - **Paper:** [LC-QuAD 2.0: A Large Dataset for Complex Question Answering over Wikidata and DBpedia](https://api.semanticscholar.org/CorpusID:198166992)
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+ - **Point of Contact:** [Mohnish Dubey](mailto:dubey@cs.uni-bonn.de) or [Mohnish Dubey](mailto:dubey.mohnish5@gmail.com)
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  - **Size of downloaded dataset files:** 3.69 MB
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  - **Size of the generated dataset:** 19.77 MB
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  - **Total amount of disk used:** 23.46 MB
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  ### Licensing Information
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+ 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).
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  ### Citation Information
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  ```
 
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  @inproceedings{dubey2017lc2,
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+ title={LC-QuAD 2.0: A Large Dataset for Complex Question Answering over Wikidata and DBpedia},
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+ author={Dubey, Mohnish and Banerjee, Debayan and Abdelkawi, Abdelrahman and Lehmann, Jens},
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+ booktitle={Proceedings of the 18th International Semantic Web Conference (ISWC)},
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+ year={2019},
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+ organization={Springer}
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  }
 
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  ```
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