
# 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.
task_categories:question-answering annotations_creators:crowdsourced language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:wikitablequestions 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": ["wikitablequestions"], "task_categories": ["question-answering"], "task_ids": [], "pretty_name": "WikiTableQuestions-wtq", "tags": ["table-question-answering"]}
TAGS
#task_categories-question-answering #annotations_creators-crowdsourced #language_creators-found #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-wikitablequestions #language-English #license-cc-by-4.0 #table-question-answering #arxiv-1508.00305 #region-us 


# Dataset Card for WikiTableQuestions-wtq

## 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-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 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:


### 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



### 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 Card for WikiTableQuestions-wtq ## 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-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 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: ### 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 ### 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-wikitablequestions #language-English #license-cc-by-4.0 #table-question-answering #arxiv-1508.00305 #region-us 
 # Dataset Card for WikiTableQuestions-wtq ## 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-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 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: ### 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 ### 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.