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--- |
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languages: |
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- en |
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paperswithcode_id: null |
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pretty_name: YelpPolarity |
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--- |
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# Dataset Card for "yelp_polarity" |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** [https://course.fast.ai/datasets](https://course.fast.ai/datasets) |
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- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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- **Size of downloaded dataset files:** 158.67 MB |
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- **Size of the generated dataset:** 421.28 MB |
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- **Total amount of disk used:** 579.95 MB |
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### Dataset Summary |
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Large Yelp Review Dataset. |
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This is a dataset for binary sentiment classification. We provide a set of 560,000 highly polar yelp reviews for training, and 38,000 for testing. |
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ORIGIN |
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The Yelp reviews dataset consists of reviews from Yelp. It is extracted |
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from the Yelp Dataset Challenge 2015 data. For more information, please |
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refer to http://www.yelp.com/dataset_challenge |
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The Yelp reviews polarity dataset is constructed by |
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Xiang Zhang (xiang.zhang@nyu.edu) from the above dataset. |
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It is first used as a text classification benchmark in the following paper: |
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Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks |
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for Text Classification. Advances in Neural Information Processing Systems 28 |
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(NIPS 2015). |
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DESCRIPTION |
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The Yelp reviews polarity dataset is constructed by considering stars 1 and 2 |
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negative, and 3 and 4 positive. For each polarity 280,000 training samples and |
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19,000 testing samples are take randomly. In total there are 560,000 trainig |
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samples and 38,000 testing samples. Negative polarity is class 1, |
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and positive class 2. |
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The files train.csv and test.csv contain all the training samples as |
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comma-sparated values. There are 2 columns in them, corresponding to class |
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index (1 and 2) and review text. The review texts are escaped using double |
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quotes ("), and any internal double quote is escaped by 2 double quotes (""). |
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New lines are escaped by a backslash followed with an "n" character, |
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that is " |
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". |
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### Supported Tasks and Leaderboards |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Languages |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Dataset Structure |
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### Data Instances |
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#### plain_text |
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- **Size of downloaded dataset files:** 158.67 MB |
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- **Size of the generated dataset:** 421.28 MB |
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- **Total amount of disk used:** 579.95 MB |
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An example of 'train' looks as follows. |
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``` |
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This example was too long and was cropped: |
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{ |
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"label": 0, |
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"text": "\"Unfortunately, the frustration of being Dr. Goldberg's patient is a repeat of the experience I've had with so many other doctor..." |
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} |
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``` |
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### Data Fields |
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The data fields are the same among all splits. |
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#### plain_text |
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- `text`: a `string` feature. |
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- `label`: a classification label, with possible values including `1` (0), `2` (1). |
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### Data Splits |
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| name |train |test | |
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|----------|-----:|----:| |
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|plain_text|560000|38000| |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the source language producers? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Annotations |
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#### Annotation process |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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#### Who are the annotators? |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Personal and Sensitive Information |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Discussion of Biases |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Other Known Limitations |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Licensing Information |
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[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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### Citation Information |
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``` |
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@article{zhangCharacterlevelConvolutionalNetworks2015, |
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archivePrefix = {arXiv}, |
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eprinttype = {arxiv}, |
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eprint = {1509.01626}, |
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primaryClass = {cs}, |
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title = {Character-Level {{Convolutional Networks}} for {{Text Classification}}}, |
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abstract = {This article offers an empirical exploration on the use of character-level convolutional networks (ConvNets) for text classification. We constructed several large-scale datasets to show that character-level convolutional networks could achieve state-of-the-art or competitive results. Comparisons are offered against traditional models such as bag of words, n-grams and their TFIDF variants, and deep learning models such as word-based ConvNets and recurrent neural networks.}, |
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journal = {arXiv:1509.01626 [cs]}, |
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author = {Zhang, Xiang and Zhao, Junbo and LeCun, Yann}, |
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month = sep, |
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year = {2015}, |
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} |
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``` |
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### Contributions |
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Thanks to [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun), [@mariamabarham](https://github.com/mariamabarham), [@thomwolf](https://github.com/thomwolf), [@julien-c](https://github.com/julien-c) for adding this dataset. |
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