Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
< 1K
ArXiv:
Tags:
table-question-answering
License:
| annotations_creators: | |
| - crowdsourced | |
| language_creators: | |
| - found | |
| language: | |
| - en | |
| license: | |
| - cc-by-4.0 | |
| multilinguality: | |
| - monolingual | |
| paperswithcode_id: null | |
| pretty_name: WikiTableQuestions-wtq | |
| size_categories: | |
| - 10K<n<100K | |
| source_datasets: | |
| - wikitablequestions | |
| task_categories: | |
| - question-answering | |
| task_ids: [] | |
| tags: | |
| - table-question-answering | |
| # Dataset Card for WikiTableQuestions-wtq | |
| ## Table of Contents | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Supported Tasks](#supported-tasks-and-leaderboards) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-instances) | |
| - [Data Splits](#data-instances) | |
| - [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) | |
| ## Dataset Description | |
| - **Homepage:** [WikiTableQuestions homepage](https://nlp.stanford.edu/software/sempre/wikitable) | |
| - **Repository:** [WikiTableQuestions repository](https://github.com/ppasupat/WikiTableQuestions) | |
| - **Paper:** [Compositional Semantic Parsing on Semi-Structured Tables](https://arxiv.org/abs/1508.00305) | |
| - **Leaderboard:** [WikiTableQuestions leaderboard on PaperWithCode](https://paperswithcode.com/dataset/wikitablequestions) | |
| - **Point of Contact:** [Needs More Information] | |
| ### Dataset Summary | |
| The WikiTableQuestions-wtq dataset is a small-scale dataset for the task of question answering on semi-structured tables. | |
| This data includes the `aggregation_label` and `answer_coordinates` to make it easy to train this model on any [TAPAS](https://huggingface.co/docs/transformers/model_doc/tapas#usage-finetuning) based modles. | |
| ### Supported Tasks and Leaderboards | |
| question-answering, table-question-answering | |
| ### Languages | |
| en | |
| ## Dataset Structure | |
| ### Data Instances | |
| #### default | |
| - **Size of downloaded dataset files:** 27.91 MB | |
| - **Size of the generated dataset:** 45.68 MB | |
| - **Total amount of disk used:** 73.60 MB | |
| An example of 'validation' looks as follows: | |
| ``` | |
| { | |
| "id": "nt-0", | |
| "question": "What is the total average attendance at all USL First Division matches?", | |
| "answers": [ | |
| "36755" | |
| ], | |
| "table": { | |
| "header": [ | |
| "Year", | |
| "Division", | |
| "League", | |
| "Regular Season", | |
| "Playoffs", | |
| "Open Cup", | |
| "Avg. Attendance" | |
| ], | |
| "rows": [ | |
| [ | |
| "2001", | |
| "2", | |
| "USL A-League", | |
| "4th, Western", | |
| "Quarterfinals", | |
| "Did not qualify", | |
| "7,169" | |
| ], | |
| ... | |
| ], | |
| "name": "csv/204-csv/590.tsv" | |
| }, | |
| "aggregation_label": "SUM", | |
| "answer_coordinates": [ | |
| [ | |
| 4, | |
| 6 | |
| ], | |
| ... | |
| ] | |
| } | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| #### default | |
| - `id`: a `string` feature. | |
| - `question`: a `string` feature. | |
| - `answers`: a `list` of `string` feature. | |
| - `answers_coordinates`: a `list` of `int,int` tuples. | |
| - `aggregation_label`: a `string` feature. | |
| - `table`: a dictionary feature containing: | |
| - `header`: a `list` of `string` features. | |
| - `rows`: a `list` of `list` of `string` features: | |
| - `name`: a `string` feature. | |
| ### Data Splits | |
| TBA | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [Needs More Information] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [Needs More Information] | |
| #### Who are the source language producers? | |
| [Needs More Information] | |
| ### Annotations | |
| #### Annotation process | |
| [Needs More Information] | |
| #### Who are the annotators? | |
| [Needs More Information] | |
| ### Personal and Sensitive Information | |
| [Needs More Information] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [Needs More Information] | |
| ### Discussion of Biases | |
| [Needs More Information] | |
| ### Other Known Limitations | |
| [Needs More Information] | |
| ## Additional Information | |
| ### Dataset Curators | |
| Panupong Pasupat and Percy Liang | |
| ### Licensing Information | |
| Creative Commons Attribution Share Alike 4.0 International | |
| ### Citation Information | |
| ``` | |
| @inproceedings{pasupat-liang-2015-compositional, | |
| title = "Compositional Semantic Parsing on Semi-Structured Tables", | |
| author = "Pasupat, Panupong and Liang, Percy", | |
| booktitle = "Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)", | |
| month = jul, | |
| year = "2015", | |
| address = "Beijing, China", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/P15-1142", | |
| doi = "10.3115/v1/P15-1142", | |
| pages = "1470--1480", | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@SivilTaram](https://github.com/SivilTaram) for adding this dataset. |