metadata

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

Dataset Card for ToTTo

Dataset Description
Dataset Structure
Dataset Creation
Considerations for Using the Data
Additional Information

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: [email protected]

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 for adding this dataset.

Datasets:

google-research-datasets
/

totto

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

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

Citation Information

Contributions