
# Dataset Card for WikiTableQuestions

## 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 dataset is a large-scale dataset for the task of question answering on semi-structured tables.

### Supported Tasks and Leaderboards

question-answering, table-question-answering

### Languages

en

## Dataset Structure

### Data Instances

#### default

- **Size of downloaded dataset files:** 29.27 MB
- **Size of the generated dataset:** 47.90 MB
- **Total amount of disk used:** 77.18 MB

An example of 'validation' looks as follows:
```
{
    "id": "nt-0",
    "question": "what was the last year where this team was a part of the usl a-league?",
    "answers": ["2004"],
    "table": {
        "header": ["Year", "Division", "League", ...], 
        "name": "csv/204-csv/590.csv", 
        "rows": [
           ["2001", "2", "USL A-League", ...],
           ["2002", "2", "USL A-League", ...], 
           ...
        ]
    }
}
```

### 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.
- `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

| name  |train|validation|test |
|-------|----:|---------:|----:|
|default|11321|      2831|4344|

## 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.
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-4.0 table-question-answering arxiv:1508.00305 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["question-answering"], "task_ids": [], "pretty_name": "WikiTableQuestions", "tags": ["table-question-answering"], "dataset_info": [{"config_name": "random-split-1", "features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "table", "struct": [{"name": "header", "sequence": "string"}, {"name": "rows", "sequence": {"sequence": "string"}}, {"name": "name", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 30364389, "num_examples": 11321}, {"name": "test", "num_bytes": 11423506, "num_examples": 4344}, {"name": "validation", "num_bytes": 7145768, "num_examples": 2831}], "download_size": 29267445, "dataset_size": 48933663}, {"config_name": "random-split-2", "features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "table", "struct": [{"name": "header", "sequence": "string"}, {"name": "rows", "sequence": {"sequence": "string"}}, {"name": "name", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 30098954, "num_examples": 11314}, {"name": "test", "num_bytes": 11423506, "num_examples": 4344}, {"name": "validation", "num_bytes": 7411203, "num_examples": 2838}], "download_size": 29267445, "dataset_size": 48933663}, {"config_name": "random-split-3", "features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "table", "struct": [{"name": "header", "sequence": "string"}, {"name": "rows", "sequence": {"sequence": "string"}}, {"name": "name", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 28778697, "num_examples": 11314}, {"name": "test", "num_bytes": 11423506, "num_examples": 4344}, {"name": "validation", "num_bytes": 8731460, "num_examples": 2838}], "download_size": 29267445, "dataset_size": 48933663}, {"config_name": "random-split-4", "features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "table", "struct": [{"name": "header", "sequence": "string"}, {"name": "rows", "sequence": {"sequence": "string"}}, {"name": "name", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 30166421, "num_examples": 11321}, {"name": "test", "num_bytes": 11423506, "num_examples": 4344}, {"name": "validation", "num_bytes": 7343736, "num_examples": 2831}], "download_size": 29267445, "dataset_size": 48933663}, {"config_name": "random-split-5", "features": [{"name": "id", "dtype": "string"}, {"name": "question", "dtype": "string"}, {"name": "answers", "sequence": "string"}, {"name": "table", "struct": [{"name": "header", "sequence": "string"}, {"name": "rows", "sequence": {"sequence": "string"}}, {"name": "name", "dtype": "string"}]}], "splits": [{"name": "train", "num_bytes": 30333964, "num_examples": 11316}, {"name": "test", "num_bytes": 11423506, "num_examples": 4344}, {"name": "validation", "num_bytes": 7176193, "num_examples": 2836}], "download_size": 29267445, "dataset_size": 48933663}]}
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-4.0 #table-question-answering #arxiv-1508.00305 #region-us 

Dataset Card for WikiTableQuestions
===================================


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
	+ Supported Tasks
	+ 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


Dataset Description
-------------------


* Homepage: WikiTableQuestions homepage
* Repository: WikiTableQuestions repository
* Paper: Compositional Semantic Parsing on Semi-Structured Tables
* Leaderboard: WikiTableQuestions leaderboard on PaperWithCode
* Point of Contact:


### Dataset Summary


The WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.


### Supported Tasks and Leaderboards


question-answering, table-question-answering


### Languages


en


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


### Data Instances


#### default


* Size of downloaded dataset files: 29.27 MB
* Size of the generated dataset: 47.90 MB
* Total amount of disk used: 77.18 MB


An example of 'validation' looks as follows:


### 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.
* '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



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


Panupong Pasupat and Percy Liang


### Licensing Information


Creative Commons Attribution Share Alike 4.0 International


### Contributions


Thanks to @SivilTaram for adding this dataset.



### Dataset Summary


The WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables. ### Supported Tasks and Leaderboards


question-answering, table-question-answering ### Languages


en


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


* Size of downloaded dataset files: 29.27 MB
* Size of the generated dataset: 47.90 MB
* Total amount of disk used: 77.18 MB


An example of 'validation' looks as follows: ### 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.
* '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



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


Panupong Pasupat and Percy Liang ### Licensing Information


Creative Commons Attribution Share Alike 4.0 International ### Contributions


Thanks to @SivilTaram 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-4.0 #table-question-answering #arxiv-1508.00305 #region-us 
 ### Dataset Summary


The WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables. ### Supported Tasks and Leaderboards


question-answering, table-question-answering ### Languages


en


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


* Size of downloaded dataset files: 29.27 MB
* Size of the generated dataset: 47.90 MB
* Total amount of disk used: 77.18 MB


An example of 'validation' looks as follows: ### 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.
* '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



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


Panupong Pasupat and Percy Liang ### Licensing Information


Creative Commons Attribution Share Alike 4.0 International ### Contributions


Thanks to @SivilTaram for adding this dataset.