| | --- |
| | annotations_creators: |
| | - crowdsourced |
| | - machine-generated |
| | language_creators: |
| | - found |
| | language: |
| | - en |
| | license: |
| | - cc-by-nc-4.0 |
| | multilinguality: |
| | - monolingual |
| | size_categories: |
| | - 100K<n<1M |
| | source_datasets: |
| | - original |
| | - extended|hotpot_qa |
| | task_categories: |
| | - text-classification |
| | task_ids: |
| | - natural-language-inference |
| | - multi-input-text-classification |
| | paperswithcode_id: anli |
| | pretty_name: Adversarial NLI |
| | dataset_info: |
| | config_name: plain_text |
| | features: |
| | - name: uid |
| | dtype: string |
| | - name: premise |
| | dtype: string |
| | - name: hypothesis |
| | dtype: string |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': entailment |
| | '1': neutral |
| | '2': contradiction |
| | - name: reason |
| | dtype: string |
| | splits: |
| | - name: train_r1 |
| | num_bytes: 8006888 |
| | num_examples: 16946 |
| | - name: dev_r1 |
| | num_bytes: 573428 |
| | num_examples: 1000 |
| | - name: test_r1 |
| | num_bytes: 574917 |
| | num_examples: 1000 |
| | - name: train_r2 |
| | num_bytes: 20801581 |
| | num_examples: 45460 |
| | - name: dev_r2 |
| | num_bytes: 556066 |
| | num_examples: 1000 |
| | - name: test_r2 |
| | num_bytes: 572639 |
| | num_examples: 1000 |
| | - name: train_r3 |
| | num_bytes: 44720719 |
| | num_examples: 100459 |
| | - name: dev_r3 |
| | num_bytes: 663148 |
| | num_examples: 1200 |
| | - name: test_r3 |
| | num_bytes: 657586 |
| | num_examples: 1200 |
| | download_size: 26286748 |
| | dataset_size: 77126972 |
| | configs: |
| | - config_name: plain_text |
| | data_files: |
| | - split: train_r1 |
| | path: plain_text/train_r1-* |
| | - split: dev_r1 |
| | path: plain_text/dev_r1-* |
| | - split: test_r1 |
| | path: plain_text/test_r1-* |
| | - split: train_r2 |
| | path: plain_text/train_r2-* |
| | - split: dev_r2 |
| | path: plain_text/dev_r2-* |
| | - split: test_r2 |
| | path: plain_text/test_r2-* |
| | - split: train_r3 |
| | path: plain_text/train_r3-* |
| | - split: dev_r3 |
| | path: plain_text/dev_r3-* |
| | - split: test_r3 |
| | path: plain_text/test_r3-* |
| | default: true |
| | --- |
| | |
| | # Dataset Card for "anli" |
| |
|
| | ## 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:** |
| | - **Repository:** [https://github.com/facebookresearch/anli/](https://github.com/facebookresearch/anli/) |
| | - **Paper:** [Adversarial NLI: A New Benchmark for Natural Language Understanding](https://arxiv.org/abs/1910.14599) |
| | - **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:** 18.62 MB |
| | - **Size of the generated dataset:** 77.12 MB |
| | - **Total amount of disk used:** 95.75 MB |
| |
|
| | ### 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 and Leaderboards |
| |
|
| | [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
| |
|
| | ### Languages |
| |
|
| | English |
| |
|
| | ## Dataset Structure |
| |
|
| | ### Data Instances |
| |
|
| | #### plain_text |
| | |
| | - **Size of downloaded dataset files:** 18.62 MB |
| | - **Size of the generated dataset:** 77.12 MB |
| | - **Total amount of disk used:** 95.75 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 |
| |
|
| | 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 |
| | |
| | | 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 |
| | |
| | ### 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 |
| | |
| | [cc-4 Attribution-NonCommercial](https://github.com/facebookresearch/anli/blob/main/LICENSE) |
| | |
| | ### 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. |
