README.md

---
dataset_info:
  features:
  - name: premise
    dtype: string
  - name: hypothesis
    dtype: string
  - name: task_name
    dtype: string
  - name: label_name
    dtype: string
  splits:
  - name: train
    num_bytes: 317612708
    num_examples: 1018733
  - name: test
    num_bytes: 15622840
    num_examples: 59140
  download_size: 212682398
  dataset_size: 333235548
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---
# NLI Mix Zero-Shot

This dataset is a single dataset entry point for the following train and test datasets:
- train: [MoritzLaurer/dataset_train_nli](https://huggingface.co/datasets/MoritzLaurer/dataset_train_nli)
- test: [MoritzLaurer/dataset_test_concat_nli](https://huggingface.co/datasets/MoritzLaurer/dataset_test_concat_nli)

Datasets consists of a mixture of text classification datasets using the NLI (Natural Language Inference) format.
It can be use ot train a powerful Zero-Shot Text Classification (ZS-TC) model.

For more details on the creation of the dataset (datasets used, datasets format, datasets cleaning, ...) please refer to the page of each dataset.

All the credits goes to [MoritzLaurer](https://huggingface.co/MoritzLaurer).
Thank you for your hard work and sharing it with the community!