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 "anli"
+
+## 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://github.com/facebookresearch/anli/](https://github.com/facebookresearch/anli/)
+- **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:** 17.76 MB
+- **Size of the generated dataset:** 73.55 MB
+- **Total amount of disk used:** 91.31 MB
+
+### [Dataset Summary](#dataset-summary)
+
+The Adversarial Natural Language Inference (ANLI) is a new large-scale NLI benchmark dataset,
+The dataset is collected via an iterative, adversarial human-and-model-in-the-loop procedure.
+ANLI is much more difficult than its predecessors including SNLI and MNLI.
+It contains three rounds. Each round has train/dev/test splits.
+
+### [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:** 17.76 MB
+- **Size of the generated dataset:** 73.55 MB
+- **Total amount of disk used:** 91.31 MB
+
+An example of 'train_r2' looks as follows.
+```
+This example was too long and was cropped:
+
+{
+    "hypothesis": "Idris Sultan was born in the first month of the year preceding 1994.",
+    "label": 0,
+    "premise": "\"Idris Sultan (born January 1993) is a Tanzanian Actor and comedian, actor and radio host who won the Big Brother Africa-Hotshot...",
+    "reason": "",
+    "uid": "ed5c37ab-77c5-4dbc-ba75-8fd617b19712"
+}
+```
+
+### [Data Fields](#data-fields)
+
+The data fields are the same among all splits.
+
+#### plain_text
+- `uid`: a `string` feature.
+- `premise`: a `string` feature.
+- `hypothesis`: a `string` feature.
+- `label`: a classification label, with possible values including `entailment` (0), `neutral` (1), `contradiction` (2).
+- `reason`: a `string` feature.
+
+### [Data Splits Sample Size](#data-splits-sample-size)
+
+|   name   |train_r1|dev_r1|train_r2|dev_r2|train_r3|dev_r3|test_r1|test_r2|test_r3|
+|----------|-------:|-----:|-------:|-----:|-------:|-----:|------:|------:|------:|
+|plain_text|   16946|  1000|   45460|  1000|  100459|  1200|   1000|   1000|   1200|
+
+## [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)
+
+```
+@InProceedings{nie2019adversarial,
+    title={Adversarial NLI: A New Benchmark for Natural Language Understanding},
+    author={Nie, Yixin
+                and Williams, Adina
+                and Dinan, Emily
+                and Bansal, Mohit
+                and Weston, Jason
+                and Kiela, Douwe},
+    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
+    year = "2020",
+    publisher = "Association for Computational Linguistics",
+}
+
+```
+
+
+### Contributions
+
+Thanks to [@thomwolf](https://github.com/thomwolf), [@easonnie](https://github.com/easonnie), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset.