---
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