metadata
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: 470925549
num_examples: 2106339
- name: test_anli_train_r1
num_bytes: 6903286
num_examples: 16946
- name: test_anli_train_r2
num_bytes: 18247198
num_examples: 45460
- name: test_anli_train_r3
num_bytes: 38803242
num_examples: 100459
- name: test_climate_fever
num_bytes: 2396137
num_examples: 7675
- name: dev
num_bytes: 47121.524698369816
num_examples: 120
download_size: 207805194
dataset_size: 537322533.5246984
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test_anli_train_r1
path: data/test_anli_train_r1-*
- split: test_anli_train_r2
path: data/test_anli_train_r2-*
- split: test_anli_train_r3
path: data/test_anli_train_r3-*
- split: test_climate_fever
path: data/test_climate_fever-*
- split: dev
path: data/dev-*
task_categories:
- text-classification
- zero-shot-classification
language:
- en
tags:
- natural-language-inference
- fact-checking
size_categories:
- 100M<n<1B
This monolingual (English) NLI dataset is designed for performing Zero-shot classification tasks, on NLI purposes, 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