Datasets:
Tasks:
Question Answering
Sub-tasks:
extractive-qa
Languages:
English
Size:
100K<n<1M
ArXiv:
License:
| annotations_creators: | |
| - found | |
| language: | |
| - en | |
| language_creators: | |
| - found | |
| license: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| pretty_name: SearchQA | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - question-answering | |
| task_ids: | |
| - extractive-qa | |
| paperswithcode_id: searchqa | |
| dataset_info: | |
| - config_name: raw_jeopardy | |
| features: | |
| - name: category | |
| dtype: string | |
| - name: air_date | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| - name: value | |
| dtype: string | |
| - name: answer | |
| dtype: string | |
| - name: round | |
| dtype: string | |
| - name: show_number | |
| dtype: int32 | |
| - name: search_results | |
| sequence: | |
| - name: urls | |
| dtype: string | |
| - name: snippets | |
| dtype: string | |
| - name: titles | |
| dtype: string | |
| - name: related_links | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 7770972348 | |
| num_examples: 216757 | |
| download_size: 3314386157 | |
| dataset_size: 7770972348 | |
| - config_name: train_test_val | |
| features: | |
| - name: category | |
| dtype: string | |
| - name: air_date | |
| dtype: string | |
| - name: question | |
| dtype: string | |
| - name: value | |
| dtype: string | |
| - name: answer | |
| dtype: string | |
| - name: round | |
| dtype: string | |
| - name: show_number | |
| dtype: int32 | |
| - name: search_results | |
| sequence: | |
| - name: urls | |
| dtype: string | |
| - name: snippets | |
| dtype: string | |
| - name: titles | |
| dtype: string | |
| - name: related_links | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 5303005740 | |
| num_examples: 151295 | |
| - name: test | |
| num_bytes: 1466749978 | |
| num_examples: 43228 | |
| - name: validation | |
| num_bytes: 740962715 | |
| num_examples: 21613 | |
| download_size: 3148550732 | |
| dataset_size: 7510718433 | |
| # Dataset Card for "search_qa" | |
| ## 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 | |
| - **Repository:** https://github.com/nyu-dl/dl4ir-searchQA | |
| - **Paper:** [SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine](https://arxiv.org/abs/1704.05179) | |
| - **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:** 6.46 GB | |
| - **Size of the generated dataset:** 15.28 GB | |
| - **Total amount of disk used:** 21.74 GB | |
| ### Dataset Summary | |
| We publicly release a new large-scale dataset, called SearchQA, for machine comprehension, or question-answering. Unlike recently released datasets, such as DeepMind | |
| CNN/DailyMail and SQuAD, the proposed SearchQA was constructed to reflect a full pipeline of general question-answering. That is, we start not from an existing article | |
| and generate a question-answer pair, but start from an existing question-answer pair, crawled from J! Archive, and augment it with text snippets retrieved by Google. | |
| Following this approach, we built SearchQA, which consists of more than 140k question-answer pairs with each pair having 49.6 snippets on average. Each question-answer-context | |
| tuple of the SearchQA comes with additional meta-data such as the snippet's URL, which we believe will be valuable resources for future research. We conduct human evaluation | |
| as well as test two baseline methods, one simple word selection and the other deep learning based, on the SearchQA. We show that there is a meaningful gap between the human | |
| and machine performances. This suggests that the proposed dataset could well serve as a benchmark for question-answering. | |
| ### 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 | |
| #### raw_jeopardy | |
| - **Size of downloaded dataset files:** 3.31 GB | |
| - **Size of the generated dataset:** 7.77 GB | |
| - **Total amount of disk used:** 11.09 GB | |
| An example of 'train' looks as follows. | |
| ``` | |
| ``` | |
| #### train_test_val | |
| - **Size of downloaded dataset files:** 3.15 GB | |
| - **Size of the generated dataset:** 7.51 GB | |
| - **Total amount of disk used:** 10.66 GB | |
| An example of 'validation' looks as follows. | |
| ``` | |
| ``` | |
| ### Data Fields | |
| The data fields are the same among all splits. | |
| #### raw_jeopardy | |
| - `category`: a `string` feature. | |
| - `air_date`: a `string` feature. | |
| - `question`: a `string` feature. | |
| - `value`: a `string` feature. | |
| - `answer`: a `string` feature. | |
| - `round`: a `string` feature. | |
| - `show_number`: a `int32` feature. | |
| - `search_results`: a dictionary feature containing: | |
| - `urls`: a `string` feature. | |
| - `snippets`: a `string` feature. | |
| - `titles`: a `string` feature. | |
| - `related_links`: a `string` feature. | |
| #### train_test_val | |
| - `category`: a `string` feature. | |
| - `air_date`: a `string` feature. | |
| - `question`: a `string` feature. | |
| - `value`: a `string` feature. | |
| - `answer`: a `string` feature. | |
| - `round`: a `string` feature. | |
| - `show_number`: a `int32` feature. | |
| - `search_results`: a dictionary feature containing: | |
| - `urls`: a `string` feature. | |
| - `snippets`: a `string` feature. | |
| - `titles`: a `string` feature. | |
| - `related_links`: a `string` feature. | |
| ### Data Splits | |
| #### raw_jeopardy | |
| | |train | | |
| |------------|-----:| | |
| |raw_jeopardy|216757| | |
| #### train_test_val | |
| | |train |validation|test | | |
| |--------------|-----:|---------:|----:| | |
| |train_test_val|151295| 21613|43228| | |
| ## 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 | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Citation Information | |
| ``` | |
| @article{DBLP:journals/corr/DunnSHGCC17, | |
| author = {Matthew Dunn and | |
| Levent Sagun and | |
| Mike Higgins and | |
| V. Ugur G{"{u}}ney and | |
| Volkan Cirik and | |
| Kyunghyun Cho}, | |
| title = {SearchQA: {A} New Q{\&}A Dataset Augmented with Context from a | |
| Search Engine}, | |
| journal = {CoRR}, | |
| volume = {abs/1704.05179}, | |
| year = {2017}, | |
| url = {http://arxiv.org/abs/1704.05179}, | |
| archivePrefix = {arXiv}, | |
| eprint = {1704.05179}, | |
| timestamp = {Mon, 13 Aug 2018 16:47:09 +0200}, | |
| biburl = {https://dblp.org/rec/journals/corr/DunnSHGCC17.bib}, | |
| bibsource = {dblp computer science bibliography, https://dblp.org} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@lhoestq](https://github.com/lhoestq), [@thomwolf](https://github.com/thomwolf) for adding this dataset. |