metadata
language:
- en
size_categories:
- 100M<n<1B
task_categories:
- text-classification
dataset_info:
features:
- name: premise
dtype: string
- name: hypothesis
dtype: string
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
splits:
- name: train
num_bytes: 375369073.6787229
num_examples: 1709316
- name: dev
num_bytes: 5041282.50235704
num_examples: 14450
- name: test_anli_r1
num_bytes: 405400
num_examples: 1000
- name: test_anli_r2
num_bytes: 405263
num_examples: 1000
- name: test_anli_r3
num_bytes: 468098
num_examples: 1200
- name: test_vitaminc
num_bytes: 1291371.9832599598
num_examples: 5520
download_size: 200873920
dataset_size: 382980489.16433996
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: dev
path: data/dev-*
- split: test_anli_r1
path: data/test_anli_r1-*
- split: test_anli_r2
path: data/test_anli_r2-*
- split: test_anli_r3
path: data/test_anli_r3-*
- split: test_vitaminc
path: data/test_vitaminc-*
tags:
- natural-language-inference
- fact-checking
This monolingual (English) NLI dataset is designed for performing Natural Language Inference, and is particularly Fact-Checking oriented.
It contains:
- 8 whole datasets in the training split (SNLI, MNLI, FEVER, QNLI, WNLI, SciTail, RTE, VitaminC);
- 120 examples for the dev split:
- 60 from the Climate-FEVER dataset in order to test zero-shot knowledge inference in a specific domain;
- 60 from the ANLI training splits in order to test pure NLI skills of the model.
- 2 whole datasets in the test split (3 training splits of the ANLI dataset and the whole Climate-FEVER dataset).
Datasets references:
- SNLI: https://huggingface.co./datasets/stanfordnlp/snli
- ANLI: https://huggingface.co./datasets/facebook/anli
- FEVER: https://huggingface.co./datasets/pietrolesci/nli_fever
- MNLI: https://huggingface.co./datasets/nyu-mll/multi_nli
- QNLI: https://huggingface.co./datasets/yangwang825/qnli
- WNLI (augmented with GLUE): https://huggingface.co./datasets/gokuls/glue_augmented_wnli
- SciTail: https://huggingface.co./datasets/allenai/scitail
- RTE: https://huggingface.co./datasets/yangwang825/rte
- Climate-FEVER: https://huggingface.co./datasets/Jasontth/climate_fever_plus
- VitaminC: https://huggingface.co./datasets/tals/vitaminc