
# Dataset Card for ToTTo

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [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)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** None
- **Repository:** https://github.com/google-research-datasets/ToTTo
- **Paper:** https://arxiv.org/abs/2004.14373
- **Leaderboard:** https://github.com/google-research-datasets/ToTTo#leaderboard
- **Point of Contact:** [totto@google.com](mailto:totto@google.com)

### Dataset Summary

ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled 
generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

A sample training set is provided below

```
{'example_id': '1762238357686640028',
 'highlighted_cells': [[13, 2]],
 'id': 0,
 'overlap_subset': 'none',
 'sentence_annotations': {'final_sentence': ['A Favorita is the telenovela aired in the 9 pm timeslot.'],
  'original_sentence': ['It is also the first telenovela by the writer to air in the 9 pm timeslot.'],
  'sentence_after_ambiguity': ['A Favorita is the telenovela aired in the 9 pm timeslot.'],
  'sentence_after_deletion': ['It is the telenovela air in the 9 pm timeslot.']},
 'table': [[{'column_span': 1, 'is_header': True, 'row_span': 1, 'value': '#'},
   {'column_span': 1, 'is_header': True, 'row_span': 1, 'value': 'Run'},
   {'column_span': 1, 'is_header': True, 'row_span': 1, 'value': 'Title'},
   {'column_span': 1, 'is_header': True, 'row_span': 1, 'value': 'Chapters'},
   {'column_span': 1, 'is_header': True, 'row_span': 1, 'value': 'Author'},
   {'column_span': 1, 'is_header': True, 'row_span': 1, 'value': 'Director'},
   {'column_span': 1,
    'is_header': True,
    'row_span': 1,
    'value': 'Ibope Rating'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '59'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'June 5, 2000— February 2, 2001'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Laços de Família'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '209'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Manoel Carlos'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Ricardo Waddington'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '44.9'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '60'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'February 5, 2001— September 28, 2001'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Porto dos Milagres'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '203'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Aguinaldo Silva Ricardo Linhares'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Marcos Paulo Simões'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '44.6'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '61'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'October 1, 2001— June 14, 2002'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': 'O Clone'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '221'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Glória Perez'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Jayme Monjardim'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '47.0'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '62'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'June 17, 2002— February 14, 2003'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': 'Esperança'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '209'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Benedito Ruy Barbosa'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Luiz Fernando'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '37.7'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '63'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'February 17, 2003— October 10, 2003'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Mulheres Apaixonadas'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '203'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Manoel Carlos'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Ricardo Waddington'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '46.6'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '64'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'October 13, 2003— June 25, 2004'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Celebridade'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '221'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Gilberto Braga'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Dennis Carvalho'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '46.0'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '65'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'June 28, 2004— March 11, 2005'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Senhora do Destino'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '221'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Aguinaldo Silva'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': 'Wolf Maya'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '50.4'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '66'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'March 14, 2005— November 4, 2005'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': 'América'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '203'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Glória Perez'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Jayme Monjardim Marcos Schechtman'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '49.4'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '67'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'November 7, 2005— July 7, 2006'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': 'Belíssima'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '209'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Sílvio de Abreu'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Denise Saraceni'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '48.5'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '68'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'July 10, 2006— March 2, 2007'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Páginas da Vida'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '203'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Manoel Carlos'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Jayme Monjardim'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '46.8'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '69'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'March 5, 2007— September 28, 2007'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Paraíso Tropical'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '179'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Gilberto Braga Ricardo Linhares'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Dennis Carvalho'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '42.8'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '70'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'October 1, 2007— May 31, 2008'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Duas Caras'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '210'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Aguinaldo Silva'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': 'Wolf Maya'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '41.1'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '71'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'June 2, 2008— January 16, 2009'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'A Favorita'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '197'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'João Emanuel Carneiro'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Ricardo Waddington'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '39.5'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '72'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'January 19, 2009— September 11, 2009'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Caminho das Índias'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '203'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Glória Perez'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Marcos Schechtman'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '38.8'}],
  [{'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '73'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'September 14, 2009— May 14, 2010'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Viver a Vida'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '209'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Manoel Carlos'},
   {'column_span': 1,
    'is_header': False,
    'row_span': 1,
    'value': 'Jayme Monjardim'},
   {'column_span': 1, 'is_header': False, 'row_span': 1, 'value': '35.6'}]],
 'table_page_title': 'List of 8/9 PM telenovelas of Rede Globo',
 'table_section_text': '',
 'table_section_title': '2000s',
 'table_webpage_url': 'http://en.wikipedia.org/wiki/List_of_8/9_PM_telenovelas_of_Rede_Globo'}
```

Please note that in test set sentence annotations are not available and thus values inside `sentence_annotations` can be safely ignored.

### Data Fields

- `table_webpage_url` (`str`): Table webpage URL.
- `table_page_title` (`str`): Table metadata with context about the table.
- `table_section_title` (`str`): Table metadata with context about the table.
- `table_section_text` (`str`): Table metadata with context about the table.
- `table` (`List[List[Dict]]`): The outer lists represents rows and the inner lists columns. Each Dict has the fields:
  - `column_span` (`int`)
  - `is_header` (`bool`)
  - `row_span` (`int`)
  - `value` (`str`)
- `highlighted_cells` (`List[[row_index, column_index]]`): Where each `[row_index, column_index]` pair indicates that `table[row_index][column_index]` is highlighted.
- `example_id` (`int`): A unique id for this example.
- `sentence_annotations`: Consists of the `original_sentence` and the sequence of revised sentences performed in order to produce the `final_sentence`.

### Data Splits

```
DatasetDict({
    train: Dataset({
        features: ['id', 'table_page_title', 'table_webpage_url', 'table_section_title', 'table_section_text', 'table', 'highlighted_cells', 'example_id', 'sentence_annotations', 'overlap_subset'],
        num_rows: 120761
    })
    validation: Dataset({
        features: ['id', 'table_page_title', 'table_webpage_url', 'table_section_title', 'table_section_text', 'table', 'highlighted_cells', 'example_id', 'sentence_annotations', 'overlap_subset'],
        num_rows: 7700
    })
    test: Dataset({
        features: ['id', 'table_page_title', 'table_webpage_url', 'table_section_title', 'table_section_text', 'table', 'highlighted_cells', 'example_id', 'sentence_annotations', 'overlap_subset'],
        num_rows: 7700
    })
})
```

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

[More Information Needed]

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

[More Information Needed]

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

```
@inproceedings{parikh2020totto,
  title={{ToTTo}: A Controlled Table-To-Text Generation Dataset},
  author={Parikh, Ankur P and Wang, Xuezhi and Gehrmann, Sebastian and Faruqui, Manaal and Dhingra, Bhuwan and Yang, Diyi and Das, Dipanjan},
  booktitle={Proceedings of EMNLP},
  year={2020}
 }
```

### Contributions

Thanks to [@abhishekkrthakur](https://github.com/abhishekkrthakur) for adding this dataset.
task_categories:table-to-text annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:en license:cc-by-sa-3.0 arxiv:2004.14373 region:us
{"annotations_creators": ["expert-generated"], "language_creators": ["found"], "language": ["en"], "license": ["cc-by-sa-3.0"], "multilinguality": ["monolingual"], "size_categories": ["100K<n<1M"], "source_datasets": ["original"], "task_categories": ["table-to-text"], "task_ids": [], "paperswithcode_id": "totto", "pretty_name": "ToTTo", "dataset_info": {"features": [{"name": "id", "dtype": "int32"}, {"name": "table_page_title", "dtype": "string"}, {"name": "table_webpage_url", "dtype": "string"}, {"name": "table_section_title", "dtype": "string"}, {"name": "table_section_text", "dtype": "string"}, {"name": "table", "list": {"list": [{"name": "column_span", "dtype": "int32"}, {"name": "is_header", "dtype": "bool"}, {"name": "row_span", "dtype": "int32"}, {"name": "value", "dtype": "string"}]}}, {"name": "highlighted_cells", "sequence": {"sequence": "int32"}}, {"name": "example_id", "dtype": "string"}, {"name": "sentence_annotations", "sequence": [{"name": "original_sentence", "dtype": "string"}, {"name": "sentence_after_deletion", "dtype": "string"}, {"name": "sentence_after_ambiguity", "dtype": "string"}, {"name": "final_sentence", "dtype": "string"}]}, {"name": "overlap_subset", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 652754806, "num_examples": 120761}, {"name": "validation", "num_bytes": 47277039, "num_examples": 7700}, {"name": "test", "num_bytes": 40883586, "num_examples": 7700}], "download_size": 187724372, "dataset_size": 740915431}}
TAGS
#task_categories-table-to-text #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-3.0 #arxiv-2004.14373 #region-us 


# Dataset Card for ToTTo

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - 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
  - Contributions

## Dataset Description

- Homepage: None
- Repository: URL
- Paper: URL
- Leaderboard: URL
- Point of Contact: totto@URL

### Dataset Summary

ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled 
generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.

### Supported Tasks and Leaderboards



### Languages



## Dataset Structure

### Data Instances

A sample training set is provided below



Please note that in test set sentence annotations are not available and thus values inside 'sentence_annotations' can be safely ignored.

### Data Fields

- 'table_webpage_url' ('str'): Table webpage URL.
- 'table_page_title' ('str'): Table metadata with context about the table.
- 'table_section_title' ('str'): Table metadata with context about the table.
- 'table_section_text' ('str'): Table metadata with context about the table.
- 'table' ('List[List[Dict]]'): The outer lists represents rows and the inner lists columns. Each Dict has the fields:
  - 'column_span' ('int')
  - 'is_header' ('bool')
  - 'row_span' ('int')
  - 'value' ('str')
- 'highlighted_cells' ('List[[row_index, column_index]]'): Where each '[row_index, column_index]' pair indicates that 'table[row_index][column_index]' is highlighted.
- 'example_id' ('int'): A unique id for this example.
- 'sentence_annotations': Consists of the 'original_sentence' and the sequence of revised sentences performed in order to produce the 'final_sentence'.

### 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



### Licensing Information







### Contributions

Thanks to @abhishekkrthakur for adding this dataset.
# Dataset Card for ToTTo ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - 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
  - Contributions ## Dataset Description

- Homepage: None
- Repository: URL
- Paper: URL
- Leaderboard: URL
- Point of Contact: totto@URL ### Dataset Summary

ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled 
generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description. ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances

A sample training set is provided below



Please note that in test set sentence annotations are not available and thus values inside 'sentence_annotations' can be safely ignored. ### Data Fields

- 'table_webpage_url' ('str'): Table webpage URL.
- 'table_page_title' ('str'): Table metadata with context about the table.
- 'table_section_title' ('str'): Table metadata with context about the table.
- 'table_section_text' ('str'): Table metadata with context about the table.
- 'table' ('List[List[Dict]]'): The outer lists represents rows and the inner lists columns. Each Dict has the fields:
  - 'column_span' ('int')
  - 'is_header' ('bool')
  - 'row_span' ('int')
  - 'value' ('str')
- 'highlighted_cells' ('List[[row_index, column_index]]'): Where each '[row_index, column_index]' pair indicates that 'table[row_index][column_index]' is highlighted.
- 'example_id' ('int'): A unique id for this example.
- 'sentence_annotations': Consists of the 'original_sentence' and the sequence of revised sentences performed in order to produce the 'final_sentence'. ### 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 ### Licensing Information ### Contributions

Thanks to @abhishekkrthakur for adding this dataset.
TAGS
#task_categories-table-to-text #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-3.0 #arxiv-2004.14373 #region-us 
 # Dataset Card for ToTTo ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - 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
  - Contributions ## Dataset Description

- Homepage: None
- Repository: URL
- Paper: URL
- Leaderboard: URL
- Point of Contact: totto@URL ### Dataset Summary

ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled 
generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description. ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances

A sample training set is provided below



Please note that in test set sentence annotations are not available and thus values inside 'sentence_annotations' can be safely ignored. ### Data Fields

- 'table_webpage_url' ('str'): Table webpage URL.
- 'table_page_title' ('str'): Table metadata with context about the table.
- 'table_section_title' ('str'): Table metadata with context about the table.
- 'table_section_text' ('str'): Table metadata with context about the table.
- 'table' ('List[List[Dict]]'): The outer lists represents rows and the inner lists columns. Each Dict has the fields:
  - 'column_span' ('int')
  - 'is_header' ('bool')
  - 'row_span' ('int')
  - 'value' ('str')
- 'highlighted_cells' ('List[[row_index, column_index]]'): Where each '[row_index, column_index]' pair indicates that 'table[row_index][column_index]' is highlighted.
- 'example_id' ('int'): A unique id for this example.
- 'sentence_annotations': Consists of the 'original_sentence' and the sequence of revised sentences performed in order to produce the 'final_sentence'. ### 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 ### Licensing Information ### Contributions

Thanks to @abhishekkrthakur for adding this dataset.
passage: TAGS
#task_categories-table-to-text #annotations_creators-expert-generated #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-English #license-cc-by-sa-3.0 #arxiv-2004.14373 #region-us 
# Dataset Card for ToTTo## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - 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
  - Contributions## Dataset Description

- Homepage: None
- Repository: URL
- Paper: URL
- Leaderboard: URL
- Point of Contact: totto@URL### Dataset Summary

ToTTo is an open-domain English table-to-text dataset with over 120,000 training examples that proposes a controlled 
generation task: given a Wikipedia table and a set of highlighted table cells, produce a one-sentence description.### Supported Tasks and Leaderboards### Languages## Dataset Structure### Data Instances

A sample training set is provided below



Please note that in test set sentence annotations are not available and thus values inside 'sentence_annotations' can be safely ignored.