
albertvillanova
HF Staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#3)
bf20683
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: | |
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 | |
config_name: plain_text | |
splits: | |
- name: train_r1 | |
num_bytes: 8006920 | |
num_examples: 16946 | |
- name: dev_r1 | |
num_bytes: 573444 | |
num_examples: 1000 | |
- name: test_r1 | |
num_bytes: 574933 | |
num_examples: 1000 | |
- name: train_r2 | |
num_bytes: 20801661 | |
num_examples: 45460 | |
- name: dev_r2 | |
num_bytes: 556082 | |
num_examples: 1000 | |
- name: test_r2 | |
num_bytes: 572655 | |
num_examples: 1000 | |
- name: train_r3 | |
num_bytes: 44720895 | |
num_examples: 100459 | |
- name: dev_r3 | |
num_bytes: 663164 | |
num_examples: 1200 | |
- name: test_r3 | |
num_bytes: 657602 | |
num_examples: 1200 | |
download_size: 18621352 | |
dataset_size: 77127356 | |
# 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. |