Datasets:
Tasks:
Multiple Choice
Modalities:
Text
Formats:
parquet
Sub-tasks:
multiple-choice-qa
Languages:
English
Size:
10M - 100M
ArXiv:
License:
| annotations_creators: | |
| - crowdsourced | |
| language_creators: | |
| - found | |
| language: | |
| - en | |
| license: | |
| - cc-by-nc-sa-3.0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 10M<n<100M | |
| source_datasets: | |
| - extended|natural_questions | |
| task_categories: | |
| - multiple-choice | |
| task_ids: | |
| - multiple-choice-qa | |
| paperswithcode_id: asnq | |
| pretty_name: Answer Sentence Natural Questions (ASNQ) | |
| dataset_info: | |
| features: | |
| - name: question | |
| dtype: string | |
| - name: sentence | |
| dtype: string | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': neg | |
| '1': pos | |
| - name: sentence_in_long_answer | |
| dtype: bool | |
| - name: short_answer_in_sentence | |
| dtype: bool | |
| splits: | |
| - name: train | |
| num_bytes: 3656865072 | |
| num_examples: 20377568 | |
| - name: validation | |
| num_bytes: 168004403 | |
| num_examples: 930062 | |
| download_size: 1482064429 | |
| dataset_size: 3824869475 | |
| # Dataset Card for "asnq" | |
| ## 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://github.com/alexa/wqa_tanda#answer-sentence-natural-questions-asnq](https://github.com/alexa/wqa_tanda#answer-sentence-natural-questions-asnq) | |
| - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Paper:** [TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection](https://arxiv.org/abs/1911.04118) | |
| - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| - **Size of downloaded dataset files:** 3.56 GB | |
| - **Size of the generated dataset:** 3.82 GB | |
| - **Total amount of disk used:** 7.39 GB | |
| ### Dataset Summary | |
| ASNQ is a dataset for answer sentence selection derived from | |
| Google's Natural Questions (NQ) dataset (Kwiatkowski et al. 2019). | |
| Each example contains a question, candidate sentence, label indicating whether or not | |
| the sentence answers the question, and two additional features -- | |
| sentence_in_long_answer and short_answer_in_sentence indicating whether ot not the | |
| candidate sentence is contained in the long_answer and if the short_answer is in the candidate sentence. | |
| For more details please see | |
| https://arxiv.org/abs/1911.04118 | |
| and | |
| https://research.google/pubs/pub47761/ | |
| ### Supported Tasks and Leaderboards | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Languages | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Dataset Structure | |
| ### Data Instances | |
| #### default | |
| - **Size of downloaded dataset files:** 3.56 GB | |
| - **Size of the generated dataset:** 3.82 GB | |
| - **Total amount of disk used:** 7.39 GB | |
| An example of 'validation' looks as follows. | |
| ``` | |
| { | |
| "label": 0, | |
| "question": "when did somewhere over the rainbow come out", | |
| "sentence": "In films and TV shows ( edit ) In the film Third Finger , Left Hand ( 1940 ) with Myrna Loy , Melvyn Douglas , and Raymond Walburn , the tune played throughout the film in short sequences .", | |
| "sentence_in_long_answer": false, | |
| "short_answer_in_sentence": false | |
| } | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| #### default | |
| - `question`: a `string` feature. | |
| - `sentence`: a `string` feature. | |
| - `label`: a classification label, with possible values including `neg` (0), `pos` (1). | |
| - `sentence_in_long_answer`: a `bool` feature. | |
| - `short_answer_in_sentence`: a `bool` feature. | |
| ### Data Splits | |
| | name | train |validation| | |
| |-------|-------:|---------:| | |
| |default|20377568| 930062| | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| #### Who are the source language producers? | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| #### Who are the annotators? | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Personal and Sensitive Information | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Discussion of Biases | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Other Known Limitations | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Licensing Information | |
| The data is made available under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License: | |
| https://github.com/alexa/wqa_tanda/blob/master/LICENSE | |
| ### Citation Information | |
| ``` | |
| @article{Garg_2020, | |
| title={TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection}, | |
| volume={34}, | |
| ISSN={2159-5399}, | |
| url={http://dx.doi.org/10.1609/AAAI.V34I05.6282}, | |
| DOI={10.1609/aaai.v34i05.6282}, | |
| number={05}, | |
| journal={Proceedings of the AAAI Conference on Artificial Intelligence}, | |
| publisher={Association for the Advancement of Artificial Intelligence (AAAI)}, | |
| author={Garg, Siddhant and Vu, Thuy and Moschitti, Alessandro}, | |
| year={2020}, | |
| month={Apr}, | |
| pages={7780–7788} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@mkserge](https://github.com/mkserge) for adding this dataset. |