|
--- |
|
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. |
