Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
License:
Update README.md
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README.md
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license: openrail
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name: generalization-test
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version: 1.0.0
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description: Merge between 3 datasets.
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configs:
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- config_name: clinc150
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default: true
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data_files:
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- split: train
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path: "train_clinc150.csv"
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- split: validation
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path: "validation_clinc150.csv"
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- split: train
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path: "test_clinc150.csv"
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license: openrail
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task_categories:
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- text-classification
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language:
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- en
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This dataset merge 3 datasets and have two setup for experiments in generalisation for multi-class clasificacitino task.
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* ID, near-OOD, covariate-shitf: [CLINC150](https://github.com/clinc/oos-eval)
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* ID, near-OOD, covariate-shitf: [ROSTD+OOD](https://github.com/vgtomahawk/LR_GC_OOD) (fbreleasecoarse version)
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* far-OOD: [News Category](https://www.kaggle.com/datasets/rmisra/news-category-dataset?resource=download) (v3)
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