Datasets:
albertvillanova
HF staff
Convert dataset sizes from base 2 to base 10 in the dataset card (#1)
174e0c8
annotations_creators: | |
- crowdsourced | |
language_creators: | |
- crowdsourced | |
- found | |
language: | |
- en | |
license: | |
- cc-by-3.0 | |
- cc-by-sa-3.0 | |
- mit | |
- other | |
license_details: Open Portion of the American National Corpus | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 100K<n<1M | |
source_datasets: | |
- original | |
task_categories: | |
- text-classification | |
task_ids: | |
- natural-language-inference | |
- multi-input-text-classification | |
paperswithcode_id: multinli | |
pretty_name: Multi-Genre Natural Language Inference | |
dataset_info: | |
features: | |
- name: premise | |
dtype: string | |
- name: hypothesis | |
dtype: string | |
- name: label | |
dtype: string | |
config_name: plain_text | |
splits: | |
- name: train | |
num_bytes: 75601459 | |
num_examples: 392702 | |
- name: validation | |
num_bytes: 2009444 | |
num_examples: 10000 | |
download_size: 226850426 | |
dataset_size: 77610903 | |
# Dataset Card for Multi-Genre Natural Language Inference (Mismatched only) | |
## 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:** [https://www.nyu.edu/projects/bowman/multinli/](https://www.nyu.edu/projects/bowman/multinli/) | |
- **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:** 226.85 MB | |
- **Size of the generated dataset:** 77.62 MB | |
- **Total amount of disk used:** 304.46 MB | |
### Dataset Summary | |
The Multi-Genre Natural Language Inference (MultiNLI) corpus is a | |
crowd-sourced collection of 433k sentence pairs annotated with textual | |
entailment information. The corpus is modeled on the SNLI corpus, but differs in | |
that covers a range of genres of spoken and written text, and supports a | |
distinctive cross-genre generalization evaluation. The corpus served as the | |
basis for the shared task of the RepEval 2017 Workshop at EMNLP in Copenhagen. | |
### Supported Tasks and Leaderboards | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
### Languages | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
## Dataset Structure | |
### Data Instances | |
#### plain_text | |
- **Size of downloaded dataset files:** 226.85 MB | |
- **Size of the generated dataset:** 77.62 MB | |
- **Total amount of disk used:** 304.46 MB | |
An example of 'train' looks as follows. | |
``` | |
{ | |
"hypothesis": "independence", | |
"label": "contradiction", | |
"premise": "correlation" | |
} | |
``` | |
### Data Fields | |
The data fields are the same among all splits. | |
#### plain_text | |
- `premise`: a `string` feature. | |
- `hypothesis`: a `string` feature. | |
- `label`: a `string` feature. | |
### Data Splits | |
| name |train |validation| | |
|----------|-----:|---------:| | |
|plain_text|392702| 10000| | |
## 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 | |
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
### Citation Information | |
``` | |
@InProceedings{N18-1101, | |
author = "Williams, Adina | |
and Nangia, Nikita | |
and Bowman, Samuel", | |
title = "A Broad-Coverage Challenge Corpus for | |
Sentence Understanding through Inference", | |
booktitle = "Proceedings of the 2018 Conference of | |
the North American Chapter of the | |
Association for Computational Linguistics: | |
Human Language Technologies, Volume 1 (Long | |
Papers)", | |
year = "2018", | |
publisher = "Association for Computational Linguistics", | |
pages = "1112--1122", | |
location = "New Orleans, Louisiana", | |
url = "http://aclweb.org/anthology/N18-1101" | |
} | |
``` | |
### Contributions | |
Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset. |