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Datasets:
Orange
/
webnlg-qa

Tasks:
Question Answering
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K<n<100K
Tags:
qa
knowledge-graph
sparql
Libraries:
Datasets
pandas
Croissant
License:
Dataset card Viewer Files Community
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README.md CHANGED
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  ---
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  license: cc-by-sa-4.0
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- task_categories:
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- - conversational
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- - question-answering
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- - text-generation
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- tags:
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- - qa
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- - knowledge-graph
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- language:
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- - en
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  dataset_info:
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  features:
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  - name: category
@@ -101,6 +92,16 @@ dataset_info:
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  num_examples: 100
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  download_size: 9637685
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  dataset_size: 42808841
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for WEBNLG-QA
@@ -116,7 +117,6 @@ WEBNLG-QA is a conversational question answering dataset grounded on WEBNLG. It
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  ### Supported tasks
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- The dataset can be used for:
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  * Knowledge-based question-answering
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  * SPARQL-to-Text conversion
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@@ -153,20 +153,45 @@ How many European countries have more than 10 million inhabitants?
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  ### Types of questions
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- Questions are very diverses, ranging the following feature categories:
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- * SPARQL query
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- * Number of triplets: 1, 2, 3+
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- * Logical connector between clauses: conjunction, disjunction, exclusion
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- * Topology of the query graph: direct, sibling, chain, mixed, other
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- * Variable typing: none, target variable, internal variable
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- * Comparison clause: none, string, number, date
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- * Answer
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- * Type: entity (open), entity (close list of choices), number, boolean
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- * Number of answers: 0 (unanswerable question), 1, 2+
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- * Number of target variables: 0 ("ASK" verb), 1, 2
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- * Contextuality
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- * Dialogue context: self-sufficient question, contains coreference, contains ellipsis
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- * Meaning: meaninful question, non-sense question
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Data splits
@@ -203,6 +228,8 @@ This corpus is part of a set of 5 datasets released for SPARQL-to-Text generatio
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  ### Citation information
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  ```bibtex
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  @inproceedings{lecorve2022sparql2text,
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  title={SPARQL-to-Text Question Generation for Knowledge-Based Conversational Applications},
@@ -212,3 +239,16 @@ This corpus is part of a set of 5 datasets released for SPARQL-to-Text generatio
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  }
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  ```
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  ---
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  license: cc-by-sa-4.0
 
 
 
 
 
 
 
 
 
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  dataset_info:
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  features:
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  - name: category
 
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  num_examples: 100
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  download_size: 9637685
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  dataset_size: 42808841
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+ task_categories:
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+ - conversational
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+ - question-answering
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+ - text-generation
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+ tags:
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+ - qa
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+ - knowledge-graph
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+ - sparql
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+ language:
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+ - en
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  ---
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  # Dataset Card for WEBNLG-QA
 
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  ### Supported tasks
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  * Knowledge-based question-answering
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  * SPARQL-to-Text conversion
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  ### Types of questions
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+ Comparison of question types compared to related datasets:
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+
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+ | | | [SimpleQuestions](https://huggingface.co/datasets/OrangeInnov/simplequestions-sparqltotext) | [ParaQA](https://huggingface.co/datasets/OrangeInnov/paraqa-sparqltotext) | [LC-QuAD 2.0](https://huggingface.co/datasets/OrangeInnov/lcquad_2.0-sparqltotext) | [CSQA](https://huggingface.co/datasets/OrangeInnov/csqa-sparqltotext) | [WebNLQ-QA](https://huggingface.co/datasets/OrangeInnov/webnlg-qa) |
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+ |--------------------------|-----------------|:---------------:|:------:|:-----------:|:----:|:---------:|
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+ | **Number of triplets in query** | 1 | ✓ | ✓ | ✓ | ✓ | ✓ |
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+ | | 2 | | ✓ | ✓ | ✓ | ✓ |
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+ | | More | | | ✓ | ✓ | ✓ |
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+ | **Logical connector between triplets** | Conjunction | ✓ | ✓ | ✓ | ✓ | ✓ |
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+ | | Disjunction | | | | ✓ | ✓ |
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+ | | Exclusion | | | | ✓ | ✓ |
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+ | **Topology of the query graph** | Direct | ✓ | ✓ | ✓ | ✓ | ✓ |
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+ | | Sibling | | ✓ | ✓ | ✓ | ✓ |
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+ | | Chain | | ✓ | ✓ | ✓ | ✓ |
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+ | | Mixed | | | ✓ | | ✓ |
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+ | | Other | | ✓ | ✓ | ✓ | ✓ |
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+ | **Variable typing in the query** | None | ✓ | ✓ | ✓ | ✓ | ✓ |
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+ | | Target variable | | ✓ | ✓ | ✓ | ✓ |
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+ | | Internal variable | | ✓ | ✓ | ✓ | ✓ |
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+ | **Comparisons clauses** | None | ✓ | ✓ | ✓ | ✓ | ✓ |
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+ | | String | | | ✓ | | ✓ |
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+ | | Number | | | ✓ | ✓ | ✓ |
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+ | | Date | | | ✓ | | ✓ |
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+ | **Superlative clauses** | No | ✓ | ✓ | ✓ | ✓ | ✓ |
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+ | | Yes | | | | ✓ | |
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+ | **Answer type** | Entity (open) | ✓ | ✓ | ✓ | ✓ | ✓ |
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+ | | Entity (closed) | | | | ✓ | ✓ |
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+ | | Number | | | ✓ | ✓ | ✓ |
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+ | | Boolean | | ✓ | ✓ | ✓ | ✓ |
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+ | **Answer cardinality** | 0 (unanswerable) | | | ✓ | | ✓ |
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+ | | 1 | ✓ | ✓ | ✓ | ✓ | ✓ |
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+ | | More | | ✓ | ✓ | ✓ | ✓ |
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+ | **Number of target variables** | 0 (⇒ ASK verb) | | ✓ | ✓ | ✓ | ✓ |
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+ | | 1 | ✓ | ✓ | ✓ | ✓ | ✓ |
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+ | | 2 | | | ✓ | | ✓ |
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+ | **Dialogue context** | Self-sufficient | ✓ | ✓ | ✓ | ✓ | ✓ |
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+ | | Coreference | | | | ✓ | ✓ |
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+ | | Ellipsis | | | | ✓ | ✓ |
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+ | **Meaning** | Meaningful | ✓ | ✓ | ✓ | ✓ | ✓ |
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+ | | Non-sense | | | | | ✓ |
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  ### Data splits
 
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  ### Citation information
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+ #### This dataset
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+
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  ```bibtex
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  @inproceedings{lecorve2022sparql2text,
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  title={SPARQL-to-Text Question Generation for Knowledge-Based Conversational Applications},
 
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  }
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  ```
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+ #### The underlying corpus WEBNLG 3.0
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+
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+ ```bibtex
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+ @inproceedings{castro-ferreira-etal-2020-2020,
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+ title = "The 2020 Bilingual, Bi-Directional {W}eb{NLG}+ Shared Task: Overview and Evaluation Results ({W}eb{NLG}+ 2020)",
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+ author = "Castro Ferreira, Thiago and Gardent, Claire and Ilinykh, Nikolai and van der Lee, Chris and Mille, Simon and Moussallem, Diego and Shimorina, Anastasia",
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+ booktitle = "Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)",
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+ year = "2020",
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+ pages = "55--76"
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+ }
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+ ```
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+
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+