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--- |
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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: task_name |
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dtype: string |
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- name: label_name |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 317612708 |
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num_examples: 1018733 |
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- name: test |
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num_bytes: 15622840 |
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num_examples: 59140 |
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download_size: 212682398 |
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dataset_size: 333235548 |
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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: test |
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path: data/test-* |
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--- |
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# NLI Mix Zero-Shot |
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This dataset is a single dataset entry point for the following train and test datasets: |
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- train: [MoritzLaurer/dataset_train_nli](https://huggingface.co/datasets/MoritzLaurer/dataset_train_nli) |
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- test: [MoritzLaurer/dataset_test_concat_nli](https://huggingface.co/datasets/MoritzLaurer/dataset_test_concat_nli) |
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Datasets consists of a mixture of text classification datasets using the NLI (Natural Language Inference) format. |
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It can be use ot train a powerful Zero-Shot Text Classification (ZS-TC) model. |
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For more details on the creation of the dataset (datasets used, datasets format, datasets cleaning, ...) please refer to the page of each dataset. |
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All the credits goes to [MoritzLaurer](https://huggingface.co/MoritzLaurer). |
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Thank you for your hard work and sharing it with the community! |
