Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Sub-tasks:
open-domain-qa
Languages:
English
Size:
10K - 100K
ArXiv:
License:
annotations_creators: | |
- crowdsourced | |
language_creators: | |
- found | |
language: | |
- en | |
license: | |
- cc-by-sa-3.0 | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- extended|natural_questions | |
- original | |
task_categories: | |
- question-answering | |
task_ids: | |
- open-domain-qa | |
paperswithcode_id: ambigqa | |
pretty_name: 'AmbigQA: Answering Ambiguous Open-domain Questions' | |
dataset_info: | |
- config_name: full | |
features: | |
- name: id | |
dtype: string | |
- name: question | |
dtype: string | |
- name: annotations | |
sequence: | |
- name: type | |
dtype: string | |
- name: answer | |
sequence: string | |
- name: qaPairs | |
sequence: | |
- name: question | |
dtype: string | |
- name: answer | |
sequence: string | |
- name: viewed_doc_titles | |
sequence: string | |
- name: used_queries | |
sequence: | |
- name: query | |
dtype: string | |
- name: results | |
sequence: | |
- name: title | |
dtype: string | |
- name: snippet | |
dtype: string | |
- name: nq_answer | |
sequence: string | |
- name: nq_doc_title | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 43538533 | |
num_examples: 10036 | |
- name: validation | |
num_bytes: 15383268 | |
num_examples: 2002 | |
download_size: 30674462 | |
dataset_size: 58921801 | |
- config_name: light | |
features: | |
- name: id | |
dtype: string | |
- name: question | |
dtype: string | |
- name: annotations | |
sequence: | |
- name: type | |
dtype: string | |
- name: answer | |
sequence: string | |
- name: qaPairs | |
sequence: | |
- name: question | |
dtype: string | |
- name: answer | |
sequence: string | |
splits: | |
- name: train | |
num_bytes: 2739732 | |
num_examples: 10036 | |
- name: validation | |
num_bytes: 805808 | |
num_examples: 2002 | |
download_size: 19700900 | |
dataset_size: 3545540 | |
configs: | |
- config_name: full | |
data_files: | |
- split: train | |
path: full/train-* | |
- split: validation | |
path: full/validation-* | |
default: true | |
# Dataset Card for AmbigQA: Answering Ambiguous Open-domain Questions | |
## 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:**](https://nlp.cs.washington.edu/ambigqa/) | |
- [**Repository:**](https://github.com/shmsw25/AmbigQA) | |
- [**Paper:**](https://arxiv.org/pdf/2004.10645.pdf) | |
### Dataset Summary | |
AmbigNQ, a dataset covering 14,042 questions from NQ-open, an existing open-domain QA benchmark. We find that over half of the questions in NQ-open are ambiguous. The types of ambiguity are diverse and sometimes subtle, many of which are only apparent after examining evidence provided by a very large text corpus. AMBIGNQ, a dataset with | |
14,042 annotations on NQ-OPEN questions containing diverse types of ambiguity. | |
We provide two distributions of our new dataset AmbigNQ: a `full` version with all annotation metadata and a `light` version with only inputs and outputs. | |
### Supported Tasks and Leaderboards | |
`question-answering` | |
### Languages | |
English | |
## Dataset Structure | |
### Data Instances | |
An example from the data set looks as follows: | |
``` | |
{'annotations': {'answer': [[]], | |
'qaPairs': [{'answer': [['April 19, 1987'], ['December 17, 1989']], | |
'question': ['When did the Simpsons first air on television as an animated short on the Tracey Ullman Show?', | |
'When did the Simpsons first air as a half-hour prime time show?']}], | |
'type': ['multipleQAs']}, | |
'id': '-4469503464110108318', | |
'nq_answer': ['December 17 , 1989'], | |
'nq_doc_title': 'The Simpsons', | |
'question': 'When did the simpsons first air on television?', | |
'used_queries': {'query': ['When did the simpsons first air on television?'], | |
'results': [{'snippet': ['The <b>Simpsons</b> is an American animated <b>television</b> sitcom starring the animated \nSimpson family, ... Since its <b>debut</b> on December 17, 1989, the show <b>has</b> \nbroadcast 673 episodes and its 30th season started ... The <b>Simpsons first</b> season \n<b>was</b> the Fox network's <b>first TV</b> series to rank among a season's top 30 highest-\nrated shows.', | |
'The <b>Simpsons</b> is an American animated sitcom created by Matt Groening for the \nFox ... Since its <b>debut</b> on December 17, 1989, 674 episodes of The <b>Simpsons</b> \nhave been broadcast. ... When producer James L. Brooks <b>was</b> working on the \n<b>television</b> variety show The Tracey Ullman Show, he decided to include small \nanimated ...', | |
'... in shorts from The Tracey Ullman Show as their <b>television debut</b> in 1987. The \n<b>Simpsons</b> shorts are a series of animated shorts that <b>aired</b> as a recurring \nsegment on Fox variety <b>television</b> series The Tracey ... The final short to <b>air was</b> "\n<b>TV Simpsons</b>", originally airing on May 14, 1989. The <b>Simpsons</b> later debuted on\n ...', | |
'The <b>first</b> season of the American animated <b>television</b> series The <b>Simpsons</b> \noriginally <b>aired</b> on the Fox network between December 17, 1989, and May 13, \n1990, beginning with the Christmas special "<b>Simpsons</b> Roasting on an Open Fire\n". The executive producers for the <b>first</b> production season <b>were</b> Matt Groening, ...', | |
'The <b>Simpsons</b> is an American animated <b>television</b> sitcom created by Matt \nGroening for the Fox ... Since its <b>debut</b> on December 17, 1989, The <b>Simpsons</b> \n<b>has</b> broadcast 674 episodes. The show holds several American <b>television</b> \nlongevity ...', | |
'The opening sequence of the American animated <b>television</b> series The <b>Simpsons</b> \nis among the most popular opening sequences in <b>television</b> and is accompanied \nby one of <b>television's</b> most recognizable theme songs. The <b>first</b> episode to use \nthis intro <b>was</b> the series' second episode "Bart the ... <b>was</b> the <b>first</b> episode of The \n<b>Simpsons</b> to <b>air</b> in 720p high-definition <b>television</b>, ...', | |
'"<b>Simpsons</b> Roasting on an Open Fire", titled onscreen as "The <b>Simpsons</b> \nChristmas Special", is the premiere episode of the American animated <b>TV</b> series \nThe <b>Simpsons</b>, ... The show <b>was</b> originally intended to <b>debut</b> earlier in 1989 with "\nSome Enchanted Evening", but due to animation problems with that episode, the \nshow ...', | |
'"Stark Raving Dad" is the <b>first</b> episode of the third season of the American \nanimated <b>television</b> series The <b>Simpsons</b>. It <b>first aired</b> on the Fox network in the \nUnited States on September 19, 1991. ... The <b>Simpsons was</b> the second highest \nrated show on Fox the week it <b>aired</b>, behind Married... with Children. "Stark \nRaving Dad," ...', | |
'The <b>Simpsons</b>' twentieth season <b>aired</b> on Fox from September 28, 2008 to May \n17, 2009. With this season, the show tied Gunsmoke as the longest-running \nAmerican primetime <b>television</b> series in terms of total number ... It <b>was</b> the <b>first</b>-\never episode of the show to <b>air</b> in Europe before being seen in the United States.', | |
'The animated <b>TV</b> show The <b>Simpsons</b> is an American English language \nanimated sitcom which ... The <b>Simpsons was</b> dubbed for the <b>first</b> time in Punjabi \nand <b>aired</b> on Geo <b>TV</b> in Pakistan. The name of the localised Punjabi version is \nTedi Sim ...'], | |
'title': ['History of The Simpsons', | |
'The Simpsons', | |
'The Simpsons shorts', | |
'The Simpsons (season 1)', | |
'List of The Simpsons episodes', | |
'The Simpsons opening sequence', | |
'Simpsons Roasting on an Open Fire', | |
'Stark Raving Dad', | |
'The Simpsons (season 20)', | |
'Non-English versions of The Simpsons']}]}, | |
'viewed_doc_titles': ['The Simpsons']} | |
``` | |
### Data Fields | |
Full | |
``` | |
{'id': Value(dtype='string', id=None), | |
'question': Value(dtype='string', id=None), | |
'annotations': Sequence(feature={'type': Value(dtype='string', id=None), 'answer': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'qaPairs': Sequence(feature={'question': Value(dtype='string', id=None), 'answer': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}, length=-1, id=None)}, length=-1, id=None), | |
'viewed_doc_titles': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), | |
'used_queries': Sequence(feature={'query': Value(dtype='string', id=None), 'results': Sequence(feature={'title': Value(dtype='string', id=None), 'snippet': Value(dtype='string', id=None)}, length=-1, id=None)}, length=-1, id=None), | |
'nq_answer': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), | |
'nq_doc_title': Value(dtype='string', id=None)} | |
``` | |
In the original data format `annotations` have different keys depending on the `type` field = `singleAnswer` or `multipleQAs`. But this implementation uses an empty list `[]` for the unavailable keys | |
please refer to Dataset Contents(https://github.com/shmsw25/AmbigQA#dataset-contents) for more details. | |
``` | |
for example in train_light_dataset: | |
for i,t in enumerate(example['annotations']['type']): | |
if t =='singleAnswer': | |
# use the example['annotations']['answer'][i] | |
# example['annotations']['qaPairs'][i] - > is [] | |
print(example['annotations']['answer'][i]) | |
else: | |
# use the example['annotations']['qaPairs'][i] | |
# example['annotations']['answer'][i] - > is [] | |
print(example['annotations']['qaPairs'][i]) | |
``` | |
please refer to Dataset Contents(https://github.com/shmsw25/AmbigQA#dataset-contents) for more details. | |
Light version only has `id`, `question`, `annotations` fields | |
### Data Splits | |
- train: 10036 | |
- validation: 2002 | |
## Dataset Creation | |
### Curation Rationale | |
[More Information Needed] | |
### Source Data | |
- Wikipedia | |
- NQ-open: | |
``` | |
@article{ kwiatkowski2019natural, | |
title={ Natural questions: a benchmark for question answering research}, | |
author={ Kwiatkowski, Tom and Palomaki, Jennimaria and Redfield, Olivia and Collins, Michael and Parikh, Ankur and Alberti, Chris and Epstein, Danielle and Polosukhin, Illia and Devlin, Jacob and Lee, Kenton and others }, | |
journal={ Transactions of the Association for Computational Linguistics }, | |
year={ 2019 } | |
} | |
``` | |
#### Initial Data Collection and Normalization | |
[More Information Needed] | |
#### Who are the source language producers? | |
[More Information Needed] | |
### Annotations | |
#### 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 | |
[CC BY-SA 3.0](http://creativecommons.org/licenses/by-sa/3.0/) | |
### Citation Information | |
``` | |
@inproceedings{ min2020ambigqa, | |
title={ {A}mbig{QA}: Answering Ambiguous Open-domain Questions }, | |
author={ Min, Sewon and Michael, Julian and Hajishirzi, Hannaneh and Zettlemoyer, Luke }, | |
booktitle={ EMNLP }, | |
year={2020} | |
} | |
``` | |
### Contributions | |
Thanks to [@cceyda](https://github.com/cceyda) for adding this dataset. |