Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
License:
File size: 1,082 Bytes
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---
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) |