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--- |
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language: |
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- en |
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size_categories: |
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- 100M<n<1B |
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task_categories: |
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- text-classification |
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dataset_info: |
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features: |
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- name: premise |
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dtype: string |
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- name: hypothesis |
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dtype: string |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': entailment |
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'1': neutral |
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'2': contradiction |
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splits: |
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- name: train |
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num_bytes: 370699678.0762534 |
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num_examples: 1688053 |
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- name: dev |
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num_bytes: 5041282.50235704 |
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num_examples: 14450 |
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- name: test_anli_r1 |
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num_bytes: 405400.0 |
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num_examples: 1000 |
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- name: test_anli_r2 |
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num_bytes: 405263.0 |
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num_examples: 1000 |
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- name: test_anli_r3 |
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num_bytes: 468098.0 |
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num_examples: 1200 |
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- name: test_vitaminc |
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num_bytes: 1291371.9832599598 |
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num_examples: 5520 |
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download_size: 196618794 |
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dataset_size: 378311093.56187046 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: dev |
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path: data/dev-* |
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- split: test_anli_r1 |
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path: data/test_anli_r1-* |
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- split: test_anli_r2 |
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path: data/test_anli_r2-* |
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- split: test_anli_r3 |
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path: data/test_anli_r3-* |
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- split: test_vitaminc |
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path: data/test_vitaminc-* |
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tags: |
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- natural-language-inference |
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- fact-checking |
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--- |
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|
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This monolingual (English) NLI dataset is designed for performing Natural Language Inference, and is particularly Fact-Checking oriented. |
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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. |
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|
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It contains: |
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- 14.5k examples for the dev split of which: |
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- 848 from ANLI train_r1; |
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- 2273 from ANLI train_r2; |
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- 5023 from ANLI train_r3; |
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- 6306 from VitaminC dev. |
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- 4 test splits (the 3 test splits of the ANLI dataset and 10% of the VitaminC test split). |
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- The remaining data composes the train split. |
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Datasets references: |
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- SNLI: https://huggingface.co/datasets/stanfordnlp/snli |
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- ANLI: https://huggingface.co/datasets/facebook/anli |
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- FEVER: https://huggingface.co/datasets/pietrolesci/nli_fever |
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- MNLI: https://huggingface.co/datasets/nyu-mll/multi_nli |
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- QNLI: https://huggingface.co/datasets/yangwang825/qnli |
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- WNLI (augmented with GLUE): https://huggingface.co/datasets/gokuls/glue_augmented_wnli |
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- SciTail: https://huggingface.co/datasets/allenai/scitail |
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- RTE: https://huggingface.co/datasets/yangwang825/rte |
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- Climate-FEVER: https://huggingface.co/datasets/Jasontth/climate_fever_plus |
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- VitaminC: https://huggingface.co/datasets/tals/vitaminc |
