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The default config contains 37 while it should generally contain 3 splits maximum (train/validation/test). If the splits standard_train, standard_test, attack_train, model_chatgpt_train, model_chatgpt_test... are not used to differentiate between training and evaluation, please consider defining configs of this dataset instead. You can find how to define configs instead of splits here: https://huggingface.co/docs/hub/datasets-data-files-configuration

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RAID neologism table splits

Source-disjoint RAID train-derived paired splits for the two-token AI detector experiments.

Source dataset: liamdugan/raid, config raid, split train.
Seed: 20260501.
Base source partition: 10000 train source_ids, 3000 test source_ids, overlap 0.
Row format: one human text and one same-source_id AI text per row.

Protocols:

standard_train, standard_test: model, attack, decoding, repetition penalty, and domain sampled randomly.
model_<model>_train, model_<model>_test: everything random except generator; train excludes the held-out model and test uses only that model.
attack_train: clean/standard training with attack=none.
attack_<attack>_test: one test split per attack; everything other than attack is sampled randomly.

See metadata.json in the repository for counts and exact split semantics.

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