Update files from the datasets library (from 1.3.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.3.0

README.md

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+---
+---
+
+# Dataset Card for "yelp_polarity"
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits Sample Size](#data-splits-sample-size)
+- [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](#dataset-description)
+
+- **Homepage:** [https://course.fast.ai/datasets](https://course.fast.ai/datasets)
+- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+- **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:** 158.67 MB
+- **Size of the generated dataset:** 421.28 MB
+- **Total amount of disk used:** 579.95 MB
+
+### [Dataset Summary](#dataset-summary)
+
+Large Yelp Review Dataset.
+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.
+ORIGIN
+The Yelp reviews dataset consists of reviews from Yelp. It is extracted
+from the Yelp Dataset Challenge 2015 data. For more information, please
+refer to http://www.yelp.com/dataset_challenge
+
+The Yelp reviews polarity dataset is constructed by
+Xiang Zhang ([email protected]) from the above dataset.
+It is first used as a text classification benchmark in the following paper:
+Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks
+for Text Classification. Advances in Neural Information Processing Systems 28
+(NIPS 2015).
+
+DESCRIPTION
+
+The Yelp reviews polarity dataset is constructed by considering stars 1 and 2
+negative, and 3 and 4 positive. For each polarity 280,000 training samples and
+19,000 testing samples are take randomly. In total there are 560,000 trainig
+samples and 38,000 testing samples. Negative polarity is class 1,
+and positive class 2.
+
+The files train.csv and test.csv contain all the training samples as
+comma-sparated values. There are 2 columns in them, corresponding to class
+index (1 and 2) and review text. The review texts are escaped using double
+quotes ("), and any internal double quote is escaped by 2 double quotes ("").
+New lines are escaped by a backslash followed with an "n" character,
+that is "
+".
+
+### [Supported Tasks](#supported-tasks)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Languages](#languages)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## [Dataset Structure](#dataset-structure)
+
+We show detailed information for up to 5 configurations of the dataset.
+
+### [Data Instances](#data-instances)
+
+#### plain_text
+
+- **Size of downloaded dataset files:** 158.67 MB
+- **Size of the generated dataset:** 421.28 MB
+- **Total amount of disk used:** 579.95 MB
+
+An example of 'train' looks as follows.
+```
+This example was too long and was cropped:
+
+{
+    "label": 0,
+    "text": "\"Unfortunately, the frustration of being Dr. Goldberg's patient is a repeat of the experience I've had with so many other doctor..."
+}
+```
+
+### [Data Fields](#data-fields)
+
+The data fields are the same among all splits.
+
+#### plain_text
+- `text`: a `string` feature.
+- `label`: a classification label, with possible values including `1` (0), `2` (1).
+
+### [Data Splits Sample Size](#data-splits-sample-size)
+
+|   name   |train |test |
+|----------|-----:|----:|
+|plain_text|560000|38000|
+
+## [Dataset Creation](#dataset-creation)
+
+### [Curation Rationale](#curation-rationale)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Source Data](#source-data)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Annotations](#annotations)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Personal and Sensitive Information](#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](#considerations-for-using-the-data)
+
+### [Social Impact of Dataset](#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](#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](#other-known-limitations)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## [Additional Information](#additional-information)
+
+### [Dataset Curators](#dataset-curators)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Licensing Information](#licensing-information)
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+### [Citation Information](#citation-information)
+
+```
+@article{zhangCharacterlevelConvolutionalNetworks2015,
+  archivePrefix = {arXiv},
+  eprinttype = {arxiv},
+  eprint = {1509.01626},
+  primaryClass = {cs},
+  title = {Character-Level {{Convolutional Networks}} for {{Text Classification}}},
+  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.},
+  journal = {arXiv:1509.01626 [cs]},
+  author = {Zhang, Xiang and Zhao, Junbo and LeCun, Yann},
+  month = sep,
+  year = {2015},
+}
+
+```
+
+
+### Contributions
+
+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.