metadata

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: 2739628
        num_examples: 10036
      - name: validation
        num_bytes: 805756
        num_examples: 2002
    download_size: 1777867
    dataset_size: 3545384
configs:
  - config_name: full
    data_files:
      - split: train
        path: full/train-*
      - split: validation
        path: full/validation-*
    default: true
  - config_name: light
    data_files:
      - split: train
        path: light/train-*
      - split: validation
        path: light/validation-*

Dataset Card for AmbigQA: Answering Ambiguous Open-domain Questions

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

Dataset Description

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&#39;s <b>first TV</b> series to rank among a season&#39;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&nbsp;...',
     '... 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> &quot;\n<b>TV Simpsons</b>&quot;, originally airing on May 14, 1989. The <b>Simpsons</b> later debuted on\n&nbsp;...',
     '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 &quot;<b>Simpsons</b> Roasting on an Open Fire\n&quot;. The executive producers for the <b>first</b> production season <b>were</b> Matt Groening,&nbsp;...',
     '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&nbsp;...',
     '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&#39;s</b> most recognizable theme songs. The <b>first</b> episode to use \nthis intro <b>was</b> the series&#39; second episode &quot;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>,&nbsp;...',
     '&quot;<b>Simpsons</b> Roasting on an Open Fire&quot;, titled onscreen as &quot;The <b>Simpsons</b> \nChristmas Special&quot;, 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 &quot;\nSome Enchanted Evening&quot;, but due to animation problems with that episode, the \nshow&nbsp;...',
     '&quot;Stark Raving Dad&quot; 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. &quot;Stark \nRaving Dad,&quot;&nbsp;...',
     'The <b>Simpsons</b>&#39; 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&nbsp;...'],
    '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

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 for adding this dataset.

Datasets:
ambig_qa

Dataset Card for AmbigQA: Answering Ambiguous Open-domain Questions

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