Datasets:
Tasks:
Table to Text
Languages:
English
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
License:
cc-by-sa-3.0
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 | |
## 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. |