---
name: generalization-test
version: 1.0.0
description: Merge between 3 datasets.
configs:
  - config_name: clinc150
    default: true
    data_files:
    - split: train
      path: "train_clinc150.csv"
    - split: validation
      path: "validation_clinc150.csv"
    - split: test
      path: "test_clinc150.csv"
  - config_name: rostd+
    data_files:
    - split: train
      path: "train_rostd+.csv"
    - split: validation
      path: "val_rostd+.csv"
    - split: test
      path: "test_rostd+.csv"
license: openrail
task_categories:
- text-classification
language:
- en
---

This dataset merge 3 datasets and have two setup for experiments in generalisation for multi-class clasificacitino task.

* ID, near-OOD, covariate-shitf: [CLINC150](https://github.com/clinc/oos-eval)
* ID, near-OOD, covariate-shitf: [ROSTD+OOD](https://github.com/vgtomahawk/LR_GC_OOD) (fbreleasecoarse version)
* far-OOD Validation: [SST2](https://huggingface.co/datasets/sst2) 
* far-OOD Test: [News Category](https://www.kaggle.com/datasets/rmisra/news-category-dataset?resource=download) (v3)