Hugging Face's logo

Datasets:
Gameselo
/
monolingual-wideNLI

Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
1M - 10M
Tags:
natural-language-inference
fact-checking
Libraries:
Datasets
pandas
Dataset card Viewer Files Community
1
monolingual-wideNLI / README.md
Gameselo's picture
Gameselo
Upload dataset
20530d0 verified
preview code
|
raw
history blame contribute delete
2.56 kB
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: 370699678.0762534
      num_examples: 1688053
    - 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: 196618794
  dataset_size: 378311093.56187046
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. Dev split is oriented to teach the model how to deal well with pure NLI (ANLI is well designed for this task) and test his general knowledge (Fact-Checking skills) with VitaminC, which is known for its robustness for this task.

It contains:

  • 14.5k examples for the dev split of which:
    • 848 from ANLI train_r1;
    • 2273 from ANLI train_r2;
    • 5023 from ANLI train_r3;
    • 6306 from VitaminC dev.
  • 4 test splits (the 3 test splits of the ANLI dataset and 10% of the VitaminC test split).
  • The remaining data composes the train split.

Datasets references: