| | --- |
| | annotations_creators: |
| | - crowdsourced |
| | language_creators: |
| | - found |
| | language: |
| | - en |
| | license: |
| | - cc-by-4.0 |
| | multilinguality: |
| | - monolingual |
| | size_categories: |
| | - 1K<n<10K |
| | source_datasets: |
| | - original |
| | task_categories: |
| | - question-answering |
| | - multiple-choice |
| | task_ids: |
| | - extractive-qa |
| | - multiple-choice-qa |
| | paperswithcode_id: qasc |
| | pretty_name: Question Answering via Sentence Composition (QASC) |
| | dataset_info: |
| | features: |
| | - name: id |
| | dtype: string |
| | - name: question |
| | dtype: string |
| | - name: choices |
| | sequence: |
| | - name: text |
| | dtype: string |
| | - name: label |
| | dtype: string |
| | - name: answerKey |
| | dtype: string |
| | - name: fact1 |
| | dtype: string |
| | - name: fact2 |
| | dtype: string |
| | - name: combinedfact |
| | dtype: string |
| | - name: formatted_question |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 4891878 |
| | num_examples: 8134 |
| | - name: test |
| | num_bytes: 390534 |
| | num_examples: 920 |
| | - name: validation |
| | num_bytes: 559180 |
| | num_examples: 926 |
| | download_size: 2349698 |
| | dataset_size: 5841592 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | - split: test |
| | path: data/test-* |
| | - split: validation |
| | path: data/validation-* |
| | --- |
| | |
| | # Dataset Card for "qasc" |
| |
|
| | ## 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://allenai.org/data/qasc](https://allenai.org/data/qasc) |
| | - **Repository:** https://github.com/allenai/qasc/ |
| | - **Paper:** [QASC: A Dataset for Question Answering via Sentence Composition](https://arxiv.org/abs/1910.11473) |
| | - **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:** 1.61 MB |
| | - **Size of the generated dataset:** 5.87 MB |
| | - **Total amount of disk used:** 7.49 MB |
| |
|
| | ### Dataset Summary |
| |
|
| | QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice |
| | questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences. |
| |
|
| | ### 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:** 1.61 MB |
| | - **Size of the generated dataset:** 5.87 MB |
| | - **Total amount of disk used:** 7.49 MB |
| |
|
| | An example of 'validation' looks as follows. |
| | ``` |
| | { |
| | "answerKey": "F", |
| | "choices": { |
| | "label": ["A", "B", "C", "D", "E", "F", "G", "H"], |
| | "text": ["sand", "occurs over a wide range", "forests", "Global warming", "rapid changes occur", "local weather conditions", "measure of motion", "city life"] |
| | }, |
| | "combinedfact": "Climate is generally described in terms of local weather conditions", |
| | "fact1": "Climate is generally described in terms of temperature and moisture.", |
| | "fact2": "Fire behavior is driven by local weather conditions such as winds, temperature and moisture.", |
| | "formatted_question": "Climate is generally described in terms of what? (A) sand (B) occurs over a wide range (C) forests (D) Global warming (E) rapid changes occur (F) local weather conditions (G) measure of motion (H) city life", |
| | "id": "3NGI5ARFTT4HNGVWXAMLNBMFA0U1PG", |
| | "question": "Climate is generally described in terms of what?" |
| | } |
| | ``` |
| |
|
| | ### Data Fields |
| |
|
| | The data fields are the same among all splits. |
| |
|
| | #### default |
| | - `id`: a `string` feature. |
| | - `question`: a `string` feature. |
| | - `choices`: a dictionary feature containing: |
| | - `text`: a `string` feature. |
| | - `label`: a `string` feature. |
| | - `answerKey`: a `string` feature. |
| | - `fact1`: a `string` feature. |
| | - `fact2`: a `string` feature. |
| | - `combinedfact`: a `string` feature. |
| | - `formatted_question`: a `string` feature. |
| |
|
| | ### Data Splits |
| |
|
| | | name |train|validation|test| |
| | |-------|----:|---------:|---:| |
| | |default| 8134| 926| 920| |
| |
|
| | ## 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 dataset is released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license. |
| |
|
| | ### Citation Information |
| |
|
| | ``` |
| | @article{allenai:qasc, |
| | author = {Tushar Khot and Peter Clark and Michal Guerquin and Peter Jansen and Ashish Sabharwal}, |
| | title = {QASC: A Dataset for Question Answering via Sentence Composition}, |
| | journal = {arXiv:1910.11473v2}, |
| | year = {2020}, |
| | } |
| | ``` |
| |
|
| | ### Contributions |
| |
|
| | Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset. |